Publications

The following publication list contains known publications that use DART.

Please contact dart@ucar.edu to add your publication to the list.

Recent publications coauthored by NSF NCAR staff should be freely available in the NSF NCAR online database known as Opensky by searching for a given publication’s title.

To cite DART in your publication, please use this citation updating the DART version and year as appropriate:

The Data Assimilation Research Testbed (Version X.Y.Z) [Software]. (2024). Boulder, Colorado: NSF NCAR/CISL/DAReS. http://doi.org/10.5065/D6WQ0202

The seminal reference is:

Anderson, J. L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn and A. Arellano, 2009 The Data Assimilation Research Testbed: A Community Facility. Bulletin of the American Meteorological Society, 90, 1283-1296, doi:10.1175/2009BAMS2618.1

2025

Wu S. & R. Wang, 2025
Dynamics of real-time forecasting failure and recovery due to data gaps: A study using EnKF-based assimilation with the Lorenz model.
Environmental Modelling & Software, 183, 106250, doi:10.1016/j.envsoft.2024.106250

2024

Hsu C., D.K. Henze, A.P. Mizzi, G. González Abad, J. He, C. Harkins, A.R. Naeger, C. Lyu, X. Liu, C. Chan Miller, R.B. Pierce, M.S. Johnson & B.C. McDonald, 2024
An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace-Gas Observations Constrain NOx Emissions in the US.
Journal of Geophysical Research: Atmospheres, 129, e2023JD039323, doi:10.1029/2023JD039323

Britt K.C., P.S. Skinner, P.L. Heinselman, C.K. Potvin, M.L. Flora, B. Matilla, K.H. Knopfmeier & A.E. Reinhart, 2024
Verification of Quasi-Linear Convective Systems Predicted by the Warn-on-Forecast System (WoFS).
Weather and Forecasting, 39, 155-176, doi:10.1175/WAF-D-23-0106.1

Shen Z., Y. Chen, X. Li & X. Song, 2024
Parameter estimation for ocean background vertical diffusivity coefficients in the Community Earth System Model (v1.2.1) and its impact on El Niño–Southern Oscillation forecasts.
Geoscientific Model Development, 17, 1651-1665, doi:10.5194/gmd-17-1651-2024

Kosary M., S. Farzaneh, M. Schumacher & E. Forootan, 2024
Assimilating Space-Based Thermospheric Neutral Density (TND) Data Into the TIE-GCM Coupled Model During Periods With Low and High Solar Activity.
Space Weather, 22, e2023SW003811, doi:10.1029/2023SW003811

Jin J., Q. Zhang, C. Wei, Q. Gu & Y. Huang, 2024
Wildfire CO2 Emissions in the Conterminous United States from 2015 to 2018 as Estimated by the WRF-Chem Assimilation System from OCO-2 XCO2 Retrievals.
Atmosphere, 15, 186, doi:10.3390/atmos15020186

Tang W., B. Gaubert, L. Emmons, D. Ziskin, D. Mao, D. Edwards, A. Arellano, K. Raeder, J. Anderson & H. Worden, 2024
Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products.
Atmospheric Measurement Techniques, 17, 1941-1963, doi:10.5194/amt-17-1941-2024

Ling X., J. Gao, Z. Tang & W. Liu, 2024
Assimilation of Remotely Sensed Leaf Area Index for Improving Land Surface Simulation Performance at a Global Scale.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 9226-9239, doi:10.1109/JSTARS.2024.3388006

Anderson J., C. Riedel, M. Wieringa, F. Ishraque, M. Smith & H. Kershaw, 2024
A Quantile-Conserving Ensemble Filter Framework. Part III: Data Assimilation for Mixed Distributions with Application to a Low-Order Tracer Advection Model.
Monthly Weather Review, doi:10.1175/MWR-D-23-0255.1

Gaubert B., J.L. Anderson, M. Trudeau, N. Smith, K. McKain, G. Pétron, K. Raeder, A.F. Arellano Jr, C. Granier, L.K. Emmons, I. Ortega, J.W. Hannigan, W. Tang, H.M. Worden, D. Ziskin & D.P. Edwards, 2024
Nonlinear and Non-Gaussian Ensemble Assimilation of MOPITT CO.
Journal of Geophysical Research: Atmospheres, 129, e2023JD040647, doi:10.1029/2023JD040647

Hsu C., T. Matsuo, H. Kershaw, N. Dietrich, M. Smith, J. Anderson, K. Garcia-Sage, J. Yue, Y. Hozumi & M. Chou, 2024
A Community Ionosphere-Thermosphere Observing System Simulation Experiment (OSSE) Tool: Geospace Dynamics Constellation Example.
Earth and Space Science, 11, e2024EA003684, doi:10.1029/2024EA003684

Grooms I. & C. Riedel, 2024
A Quantile-Conserving Ensemble Filter Based on Kernel-Density Estimation.
Remote Sensing, 16, 2377, doi:10.3390/rs16132377

Riedel C. & J. Anderson, 2024
Exploring non-Gaussian sea ice characteristics via observing system simulation experiments.
The Cryosphere, 18, 2875-2896, doi:10.5194/tc-18-2875-2024

Chan M., 2024
Improving ensemble data assimilation through Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC).
Nonlinear Processes in Geophysics, 31, 287-302, doi:10.5194/npg-31-287-2024

Huo X., A.M. Fox, H. Dashti, C. Devine, W. Gallery, W.K. Smith, B. Raczka, J.L. Anderson, A. Rogers & D.J.P. Moore, 2024
Integrating State Data Assimilation and Innovative Model Parameterization Reduces Simulated Carbon Uptake in the Arctic and Boreal Region.
Journal of Geophysical Research: Biogeosciences, 129, e2024JG008004, doi:10.1029/2024JG008004

Dietrich N., T. Matsuo, C. Lin, B. diLorenzo, C. Chien-Hung Lin & T. Fang, 2024
Evaluating Radio Occultation (RO) Constellation Designs Using Observing System Simulation Experiments (OSSEs) for Ionospheric Specification.
Space Weather, 22, e2024SW003958, doi:10.1029/2024SW003958

Sun R., S. Sanikommu, A.C. Subramanian, M.R. Mazloff, B.D. Cornuelle, G. Gopalakrishnan, A.J. Miller & I. Hoteit, 2024
Enhanced regional ocean ensemble data assimilation through atmospheric coupling in the SKRIPS model.
Ocean Modelling, 191, 102424, doi:10.1016/j.ocemod.2024.102424

Ma C., H. Su, J. Lelieveld, W. Randel, P. Yu, M.O. Andreae & Y. Cheng, 2024
Smoke-charged vortex doubles hemispheric aerosol in the middle stratosphere and buffers ozone depletion.
Science Advances, 10, eadn3657, doi:10.1126/sciadv.adn3657

Gharamti M., A. Rafieeinasab & J.L. McCreight, 2024
Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction.
Hydrology and Earth System Sciences, 28, 3133-3159, doi:10.5194/hess-28-3133-2024

McCurry J. & J. Poterjoy, 2024
Optimizing Numerical Weather Prediction Utility of the Maryland Mesonet with Observing System Simulation Experiments.
Weather and Forecasting, 39, 1-41, doi:10.1175/WAF-D-24-0089.1

Hu C., P.J. Leeuwen & J.L. Anderson, 2024
An Implementation of the Particle Flow Filter in an Atmospheric Model.
Monthly Weather Review, doi:10.1175/MWR-D-24-0006.1

Sanikommu S., N. Raboudi, M. El Gharamti, P. Zhan, B. Hadri & I. Hoteit, 2024
Insights from very-large-ensemble data assimilation experiments with a high-resolution general circulation model of the Red Sea.
Quarterly Journal of the Royal Meteorological Society, 150, 1-17, doi:10.1002/qj.4813

Wang Q., Z. Shen, Y. Chen, X. Chen & Y. Zhang, 2024
Improving ocean analyses in the ensemble-based data assimilation system using the Community Earth System Model by assimilating satellite sea surface salinity.
Journal of Operational Oceanography, 17, 1-14, doi:10.1080/1755876X.2024.2418687

Coleman A., B. Ancell & C. Schwartz, 2024
Can We Predict the Predictability of High-Impact Weather Events?
Monthly Weather Review, 152, 2483–2504, doi:10.1175/MWR-D-23-0293.1

Dash S., M.L. DeRosa, M. Dikpati, X. Sun, S.S. Mahajan, Y. Liu & J.T. Hoeksema, 2024
Ensemble Kalman Filter Data Assimilation into the Surface Flux Transport Model to Infer Surface Flows: An Observing System Simulation Experiment.
The Astrophysical Journal, 975, 288, doi:10.3847/1538-4357/ad7eac

Kennedy R.E., S.P. Serbin, M.C. Dietze, H. Andersen, C. Babcock, D.F. Baker, M.E. Brown, K.J. Davis, L. Duncanson, S. Feng, A.T. Hudak, J. Liu, P.L. Patterson, B. Raczka, M.A. Cochrane, E.A.S. Carlo & R. Vargas, 2024
Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System.
Environmental Research Letters, 19, 123003, doi:10.1088/1748-9326/ad8be0

2023

Chen Y., Z. Shen, Y. Tang & X. Song, 2023
Ocean data assimilation for the initialization of seasonal prediction with the Community Earth System Model.
Ocean Modelling, 183, 102194, doi:10.1016/j.ocemod.2023.102194

Kurosawa K. & J. Poterjoy, 2023
A Statistical Hypothesis Testing Strategy for Adaptively Blending Particle Filters and Ensemble Kalman Filters for Data Assimilation.
Monthly Weather Review, 151, 105-125, doi:10.1175/MWR-D-22-0108.1

Risanto C.B., J.M. Moker, A.F. Arellano, C.L. Castro, Y.L. Serra, T.M. Luong & D.K. Adams, 2023
On the Collective Importance of Model Physics and Data Assimilation on Mesoscale Convective System and Precipitation Forecasts over Complex Terrain.
Monthly Weather Review, 151, 1993-2008, doi:10.1175/MWR-D-22-0221.1

Gaubert B., D.P. Edwards, J.L. Anderson, A.F. Arellano, J. Barré, R.R. Buchholz, S. Darras, L.K. Emmons, D. Fillmore, C. Granier, J.W. Hannigan, I. Ortega, K. Raeder, A. Soulié, W. Tang, H.M. Worden & D. Ziskin, 2023
Global Scale Inversions from MOPITT CO and MODIS AOD.
Remote Sensing, 15, 4813, doi:10.3390/rs15194813

Anderson J.L., 2023
A Quantile-Conserving Ensemble Filter Framework. Part II: Regression of Observation Increments in a Probit and Probability Integral Transformed Space.
Monthly Weather Review, 151, 2759-2777, doi:10.1175/MWR-D-23-0065.1

Manser R.P. & B.C. Ancell, 2023
Initial Condition Convection-Allowing Ensembles with Large Membership for Probabilistic Prediction of Convective Hazards.
Monthly Weather Review, 151, 689-715, doi:10.1175/MWR-D-21-0269.1

McCurry J., J. Poterjoy, K. Knopfmeier & L. Wicker, 2023
An Evaluation of Non-Gaussian Data Assimilation Methods in Moist Convective Regimes.
Monthly Weather Review, 151, 1609-1629, doi:10.1175/MWR-D-22-0260.1

Noh Y., Y. Choi, H. Song, K. Raeder, J. Kim & Y. Kwon, 2023
Assimilation of the AMSU-A radiances using the CESM (v2.1.0) and the DART (v9.11.13)–RTTOV (v12.3).
Geoscientific Model Development, 16, 5365-5382, doi:10.5194/gmd-16-5365-2023

Li L., N. Žagar, K. Raeder & J.L. Anderson, 2023
Comparison of temperature and wind observations in the Tropics in a perfect-model, global EnKF data assimilation system.
Quarterly Journal of the Royal Meteorological Society, 149, 2367-2385, doi:10.1002/qj.4511

Li X., Y. Tang, Z. Shen, F. Zhou, X. Song, Y. Wu & Y. Li, 2023
A Region-Optional Targeted Observation Method and Its Application in the Sea Surface Temperature Prediction Associated With the Indian Ocean Dipole.
Journal of Geophysical Research: Oceans, 128, e2023JC019781, doi:10.1029/2023JC019781

Kugler L., J.L. Anderson & M. Weissmann, 2023
Potential impact of all-sky assimilation of visible and infrared satellite observations compared with radar reflectivity for convective-scale numerical weather prediction.
Quarterly Journal of the Royal Meteorological Society, 149, 3623-3644, doi:10.1002/qj.4577

Zhang J., J. Oberheide, N.M. Pedatella & N. Koushik, 2023
Mesospheric Water Vapor From SABER as a Tracer for the Residual Mean Circulation During SSW Events.
Journal of Geophysical Research: Atmospheres, 128, e2023JD039526, doi:10.1029/2023JD039526

Santer H., J. Poterjoy & J. McCurry, 2023
Evaluating Contour Band Depth as a Method for Understanding Ensemble Uncertainty.
Monthly Weather Review, 151, 2097-2113, doi:10.1175/MWR-D-22-0281.1

Huang C., C. Ma, T. Wang, Y. Qu, M. Li, S. Li, B. Zhuang & M. Xie, 2023
Study on the assimilation of the sulphate reaction rates based on WRF-Chem/DART.
Science China Earth Sciences, 66, 2239-2253, doi:10.1007/s11430-023-1153-9

Zhou Y., Y. Liu & W. Han, 2023
Demonstrating the Potential Impacts of Assimilating FY-4A Visible Radiances on Forecasts of Cloud and Precipitation with a Localized Particle Filter.
Monthly Weather Review, 151, 1167-1188, doi:10.1175/MWR-D-22-0133.1

Dibia E.C., R.H. Reichle, J.L. Anderson & X. Liang, 2023
Non-Gaussian Ensemble Filtering and Adaptive Inflation for Soil Moisture Data Assimilation.
Journal of Hydrometeorology, 24, 1039-1053, doi:10.1175/JHM-D-22-0046.1

Fomin V.V. & N.A. Diansky, 2023
Methods of Assimilation of Sea Surface Temperature Satellite Data and Their Influence on the Reconstruction of Hydrophysical Fields of the Black, Azov, and Marmara Seas Using the Institute of Numerical Mathematics Ocean Model (INMOM).
Russian Meteorology and Hydrology, 48, 97-108, doi:10.3103/S1068373923020024

Carrió D.S., 2023
Improving the predictability of the Qendresa Medicane by the assimilation of conventional and atmospheric motion vector observations. Storm-scale analysis and short-range forecast.
Natural Hazards and Earth System Sciences, 23, 847-869, doi:10.5194/nhess-23-847-2023

Sanikommu S., S. Langodan, H.P. Dasari, P. Zhan, G. Krokos, Y.O. Abualnaja, K. Asfahani & I. Hoteit, 2023
Making the Case for High-Resolution Regional Ocean Reanalyses: An Example with the Red Sea.
Bulletin of the American Meteorological Society, doi:10.1175/BAMS-D-21-0287.1

Pouyaei A., A.P. Mizzi, Y. Choi, S. Mousavinezhad & N. Khorshidian, 2023
Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF-Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals.
Journal of Geophysical Research: Atmospheres, 128, e2022JD038019, doi:10.1029/2022JD038019

2022

Zhou Y., Y. Liu, Z. Huo & Y. Li, 2022
A preliminary evaluation of WRF (ARW v4.1.1)/DART (Manhattan release v9.8.0)-RTTOV (v12.3) in assimilating satellite visible radiance data for a cyclone case.
Geoscientific Model Development Discussions, 1-27, doi:10.5194/gmd-2022-30

Deng S., Z. Shen, S. Chen & R. Wang, 2022
Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model.
Journal of Marine Science and Engineering, 10, 412, doi:10.3390/jmse10030412

Dietrich N., T. Matsuo & C. Hsu, 2022
Specifying Satellite Drag Through Coupled Thermosphere-Ionosphere Data Assimilation of Radio Occultation Electron Density Profiles.
Space Weather, 20, e2022SW003147, doi:10.1029/2022SW003147

Fox A.M., X. Huo, T.J. Hoar, H. Dashti, W.K. Smith, N. MacBean, J.L. Anderson, M. Roby & D.J.P. Moore, 2022
Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems.
Journal of Geophysical Research: Biogeosciences, 127, e2022JG006830, doi:10.1029/2022JG006830

Jiang F., W. Ju, W. He, M. Wu, H. Wang, J. Wang, M. Jia, S. Feng, L. Zhang & J.M. Chen, 2022
A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO₂ retrievals (GCAS2021).
Earth System Science Data, 14, 3013-3037, doi:10.5194/essd-14-3013-2022

George B. & G. Kutty, 2022
Multivariate ensemble sensitivity analysis applied for an extreme rainfall over Indian subcontinent.
Atmospheric Research, 277, 106324, doi:10.1016/j.atmosres.2022.106324

Zhang Y., M. Bushuk, M. Winton, B. Hurlin, T. Delworth, M. Harrison, L. Jia, F. Lu, A. Rosati & X. Yang, 2022
Subseasonal-to-Seasonal Arctic Sea Ice Forecast Skill Improvement from Sea Ice Concentration Assimilation.
Journal of Climate, 35, 4233-4252, doi:10.1175/JCLI-D-21-0548.1

Huang Y., J. Wei, J. Jin, Z. Zhou & Q. Gu, 2022
CO Fluxes in Western Europe during 2017–2020 Winter Seasons Inverted by WRF-Chem/Data Assimilation Research Testbed with MOPITT Observations.
Remote Sensing, 14, 1133, doi:10.3390/rs14051133

Anderson J.L., 2022
A Quantile-Conserving Ensemble Filter Framework. Part I: Updating an Observed Variable.
Monthly Weather Review, 150, 1061-1074, doi:10.1175/MWR-D-21-0229.1

Pedatella N.M. & J.L. Anderson, 2022
The Impact of Assimilating COSMIC-2 Observations of Electron Density in WACCMX.
Journal of Geophysical Research: Space Physics, 127, e2021JA029906, doi:10.1029/2021JA029906

Sun J., Y. Jiang, S. Zhang, W. Zhang, L. Lu, G. Liu, Y. Chen, X. Xing, X. Lin & L. Wu, 2022
An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation.
Geoscientific Model Development, 15, 4805-4830, doi:10.5194/gmd-15-4805-2022

Kay J., T.M. Weckwerth, W. Lee, J. Sun & G. Romine, 2022
An OSSE Study of the Impact of Micropulse Differential Absorption Lidar (MPD) Water Vapor Profiles on Convective Weather Forecasting.
Monthly Weather Review, 150, 2787-2811, doi:10.1175/MWR-D-21-0284.1

Chen Y., Z. Shen & Y. Tang, 2022
On Oceanic Initial State Errors in the Ensemble Data Assimilation for a Coupled General Circulation Model.
Journal of Advances in Modeling Earth Systems, 14, e2022MS003106, doi:10.1029/2022MS003106

Poterjoy J., 2022
Regularization and tempering for a moment-matching localized particle filter.
Quarterly Journal of the Royal Meteorological Society, 148, 2631-2651, doi:10.1002/qj.4328

Forootan E., M. Kosary, S. Farzaneh, T. Kodikara, K. Vielberg, I. Fernandez-Gomez, C. Borries & M. Schumacher, 2022
Forecasting global and multi-level thermospheric neutral density and ionospheric electron content by tuning models against satellite-based accelerometer measurements.
Scientific Reports, 12, 2095, doi:10.1038/s41598-022-05952-y

Schwartz C.S., J. Poterjoy, J.R. Carley, D.C. Dowell, G.S. Romine & K. Ide, 2022
Comparing Partial and Continuously Cycling Ensemble Kalman Filter Data Assimilation Systems for Convection-Allowing Ensemble Forecast Initialization.
Weather and Forecasting, 37, 85-112, doi:10.1175/WAF-D-21-0069.1

Huang Y., X. Wang, A. Mahre, T. Yu & D. Bodine, 2022
Impacts of Assimilating Future Clear-Air Radial Velocity Observations from Phased Array Radar on Convection Initiation Forecasts: An Observing System Simulation Experiment Study.
Monthly Weather Review, 150, 1563-1583, doi:10.1175/MWR-D-21-0199.1

Carrió D.S., A. Jansà, V. Homar, R. Romero, T. Rigo, C. Ramis, A. Hermoso & A. Maimó, 2022
Exploring the benefits of a Hi-EnKF system to forecast an extreme weather event. The 9th October 2018 catastrophic flash flood in Mallorca.
Atmospheric Research, 265, 105917, doi:10.1016/j.atmosres.2021.105917

Ancell B.C. & A.A. Coleman, 2022
New Perspectives on Ensemble Sensitivity Analysis with Applications to a Climatology of Severe Convection.
Bulletin of the American Meteorological Society, 103, E511-E530, doi:10.1175/BAMS-D-20-0321.1

Laskar F.I., N.M. Pedatella, M.V. Codrescu, R.W. Eastes & W.E. McClintock, 2022
Improving the Thermosphere Ionosphere in a Whole Atmosphere Model by Assimilating GOLD Disk Temperatures.
Journal of Geophysical Research: Space Physics, 127, e2021JA030045, doi:10.1029/2021JA030045

Schwartz C.S., J. Poterjoy, G.S. Romine, D.C. Dowell, J.R. Carley & J. Bresch, 2022
Short-Term Convection-Allowing Ensemble Precipitation Forecast Sensitivity to Resolution of Initial Condition Perturbations and Central Initial States.
Weather and Forecasting, 37, 1259-1286, doi:10.1175/WAF-D-21-0165.1

Sodhi J.S. & F. Fabry, 2022
Benefits of Smoothing Backgrounds and Radar Reflectivity Observations for Multiscale Data Assimilation with an Ensemble Kalman Filter at Convective Scales: A Proof-of-Concept Study.
Monthly Weather Review, 150, 589-601, doi:10.1175/MWR-D-21-0130.1

Berman J.D. & R.D. Torn, 2022
The Sensitivity of Downstream Ridge Building Forecasts to Upstream Warm Conveyor Belt Forecast Uncertainty Using MPAS.
Monthly Weather Review, 150, 2573-2592, doi:10.1175/MWR-D-21-0048.1

Stratman D.R. & C.K. Potvin, 2022
Testing the Feature Alignment Technique (FAT) in an Ensemble-Based Data Assimilation and Forecast System with Multiple-Storm Scenarios.
Monthly Weather Review, 150, 2033-2054, doi:10.1175/MWR-D-21-0289.1

Sun T., J. Sun, Y. Chen, Y. Zhang, Z. Ying & H. Chen, 2022
Improving Short-Term Precipitation Forecasting with Radar Data Assimilation and a Multiscale Hybrid Ensemble–Variational Strategy.
Monthly Weather Review, 150, 2357-2377, doi:10.1175/MWR-D-21-0325.1

Martire L., S. Krishnamoorthy, P. Vergados, L.J. Romans, B. Szilágyi, X. Meng, J.L. Anderson, A. Komjáthy & Y.E. Bar-Sever, 2022
The GUARDIAN system-a GNSS upper atmospheric real-time disaster information and alert network.
GPS Solutions, 27, 32, doi:10.1007/s10291-022-01365-6

2021

Gharamti M., J.L. McCreight, S.J. Noh, T.J. Hoar, A. RafieeiNasab & B.K. Johnson, 2021
Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding.
Hydrology and Earth System Sciences, 25, 5315-5336, doi:10.5194/hess-25-5315-2021

Xing X., B. Liu, W. Zhang, J. Wu, X. Cao & Q. Huang, 2021
An Investigation of Adaptive Radius for the Covariance Localization in Ensemble Data Assimilation.
Journal of Marine Science and Engineering, 9, 1156, doi:10.3390/jmse9111156

Raeder K., T.J. Hoar, M. El Gharamti, B.K. Johnson, N. Collins, J.L. Anderson, J. Steward & M. Coady, 2021
A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models.
Scientific Reports, 11, 16384, doi:10.1038/s41598-021-92927-0

Risanto C.B., C.L. Castro, A.F. Arellano, J.M. Moker & D.K. Adams, 2021
The Impact of Assimilating GPS Precipitable Water Vapor in Convective-Permitting WRF-ARW on North American Monsoon Precipitation Forecasts over Northwest Mexico.
Monthly Weather Review, -1, doi:10.1175/MWR-D-20-0394.1

Liu G., R.S. Lieberman, V.L. Harvey, N.M. Pedatella, J. Oberheide, R.E. Hibbins, P.J. Espy & D. Janches, 2021
Tidal Variations in the Mesosphere and Lower Thermosphere Before, During, and After the 2009 Sudden Stratospheric Warming.
Journal of Geophysical Research: Space Physics, 126, e2020JA028827, doi:10.1029/2020JA028827

Ma H., A.C. Siongco, S.A. Klein, S. Xie, A.R. Karspeck, K. Raeder, J.L. Anderson, J. Lee, B.P. Kirtman, W.J. Merryfield, H. Murakami & J.J. Tribbia, 2021
On the Correspondence between Seasonal Forecast Biases and Long-Term Climate Biases in Sea Surface Temperature.
Journal of Climate, 34, 427-446, doi:10.1175/JCLI-D-20-0338.1

Zhang Y., C.M. Bitz, J.L. Anderson, N.S. Collins, T.J. Hoar, K.D. Raeder & E. Blanchard-Wrigglesworth, 2021
Estimating parameters in a sea ice model using an ensemble Kalman filter.
The Cryosphere, 15, 1277-1284, doi:10.5194/tc-15-1277-2021

Laskar F.I., N.M. Pedatella, M.V. Codrescu, R.W. Eastes, J.S. Evans, A.G. Burns & W. McClintock, 2021
Impact of GOLD Retrieved Thermospheric Temperatures on a Whole Atmosphere Data Assimilation Model.
Journal of Geophysical Research: Space Physics, 126, e2020JA028646, doi:10.1029/2020JA028646

Toye H., P. Zhan, F. Sana, S. Sanikommu, N. Raboudi & I. Hoteit, 2021
Adaptive ensemble optimal interpolation for efficient data assimilation in the red sea.
Journal of Computational Science, 51, 101317, doi:10.1016/j.jocs.2021.101317

George B. & G. Kutty, 2021
Ensemble sensitivity analysis of an extreme rainfall event over the Himalayas in June 2013.
Dynamics of Atmospheres and Oceans, 93, 101202, doi:10.1016/j.dynatmoce.2021.101202

Hsu C., T. Matsuo, A. Maute, R. Stoneback & C. Lien, 2021
Data-Driven Ensemble Modeling of Equatorial Ionospheric Electrodynamics: A Case Study During a Minor Storm Period Under Solar Minimum Conditions.
Journal of Geophysical Research: Space Physics, 126, e2020JA028539, doi:10.1029/2020JA028539

Zhang Q., M. Li, C. Wei, A.P. Mizzi, Y. Huang & Q. Gu, 2021
Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States.
Atmospheric Environment, 246, 118106, doi:10.1016/j.atmosenv.2020.118106

Kodikara T., K. Zhang, N.M. Pedatella & C. Borries, 2021
The Impact of Solar Activity on Forecasting the Upper Atmosphere via Assimilation of Electron Density Data.
Space Weather, 19, e2020SW002660, doi:10.1029/2020SW002660

Raczka B., T.J. Hoar, H.F. Duarte, A.M. Fox, J.L. Anderson, D.R. Bowling & J.C. Lin, 2021
Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System.
Journal of Advances in Modeling Earth Systems, 13, e2020MS002421, doi:10.1029/2020MS002421

Riedel C.P., S.M. Cavallo & D.B. Parsons, 2021
Mesoscale Prediction in the Antarctic Using Cycled Ensemble Data Assimilation.
Monthly Weather Review, 149, 443-462, doi:10.1175/MWR-D-20-0009.1

Rakesh S. & G. Kutty, 2021
Intercomparison of the Performance of Four Data Assimilation Schemes in a Limited-Area Model on Forecasts of an Extreme Rainfall Event Over the Uttarakhand in Himalayas.
Earth and Space Science, 8, e2020EA001461, doi:10.1029/2020EA001461

Jiang P., X. Chen, K. Chen, J. Anderson, N. Collins & M.E. Gharamti, 2021
DART-PFLOTRAN: An ensemble-based data assimilation system for estimating subsurface flow and transport model parameters.
Environmental Modelling & Software, 142, 105074, doi:10.1016/j.envsoft.2021.105074

Hoteit I., Y. Abualnaja, S. Afzal, B. Ait-El-Fquih, T. Akylas, C. Antony, C. Dawson, K. Asfahani, R.J. Brewin, L. Cavaleri, I. Cerovecki, B. Cornuelle, S. Desamsetti, R. Attada, H. Dasari, J. Sanchez-Garrido, L. Genevier, M.E. Gharamti, J.A. Gittings, E. Gokul, G. Gopalakrishnan, D. Guo, B. Hadri, M. Hadwiger, M.A. Hammoud, M. Hendershott, M. Hittawe, A. Karumuri, O. Knio, A. Köhl, S. Kortas, G. Krokos, R. Kunchala, L. Issa, I. Lakkis, S. Langodan, P. Lermusiaux, T. Luong, J. Ma, O.L. Maitre, M. Mazloff, S.E. Mohtar, V.P. Papadopoulos, T. Platt, L. Pratt, N. Raboudi, M. Racault, D.E. Raitsos, S. Razak, S. Sanikommu, S. Sathyendranath, S. Sofianos, A. Subramanian, R. Sun, E. Titi, H. Toye, G. Triantafyllou, K. Tsiaras, P. Vasou, Y. Viswanadhapalli, Y. Wang, F. Yao, P. Zhan & G. Zodiatis, 2021
Towards an End-to-End Analysis and Prediction System for Weather, Climate, and Marine Applications in the Red Sea.
Bulletin of the American Meteorological Society, 102, E99-E122, doi:10.1175/BAMS-D-19-0005.1

Jensen A.A., J.O. Pinto, S.C.C. Bailey, R.A. Sobash, G. Boer, A.L. Houston, P.B. Chilson, T. Bell, G. Romine, S.W. Smith, D.A. Lawrence, C. Dixon, J.K. Lundquist, J.D. Jacob, J. Elston, S. Waugh & M. Steiner, 2021
Assimilation of a Coordinated Fleet of Uncrewed Aircraft System Observations in Complex Terrain: EnKF System Design and Preliminary Assessment.
Monthly Weather Review, 149, 1459-1480, doi:10.1175/MWR-D-20-0359.1

Zhang Y., M. Bushuk, M. Winton, B. Hurlin, X. Yang, T. Delworth & L. Jia, 2021
Assimilation of Satellite-Retrieved Sea Ice Concentration and Prospects for September Predictions of Arctic Sea Ice.
Journal of Climate, 34, 2107-2126, doi:10.1175/JCLI-D-20-0469.1

McCormack J.P., V.L. Harvey, C.E. Randall, N. Pedatella, D. Koshin, K. Sato, L. Coy, S. Watanabe, F. Sassi & L.A. Holt, 2021
Intercomparison of middle atmospheric meteorological analyses for the Northern Hemisphere winter 2009–2010.
Atmospheric Chemistry and Physics, 21, 17577-17605, doi:10.5194/acp-21-17577-2021

Schwartz C.S., G.S. Romine & D.C. Dowell, 2021
Toward Unifying Short-Term and Next-Day Convection-Allowing Ensemble Forecast Systems with a Continuously Cycling 3-km Ensemble Kalman Filter over the Entire Conterminous United States.
Weather and Forecasting, 36, 379-405, doi:10.1175/WAF-D-20-0110.1

Zhang Q., M. Li, M. Wang, A.P. Mizzi, Y. Huang, C. Wei, J. Jin & Q. Gu, 2021
CO2 Flux over the Contiguous United States in 2016 Inverted by WRF-Chem/DART from OCO-2 XCO2 Retrievals.
Remote Sensing, 13, 2996, doi:10.3390/rs13152996

Trier S.B., G.S. Romine, D.A. Ahijevych, R.A. Sobash & M.B. Chasteen, 2021
Relationship of Convection Initiation and Subsequent Storm Strength to Ensemble Simulated Environmental Conditions during IOP3b of VORTEX Southeast 2017.
Monthly Weather Review, 149, 3265-3287, doi:10.1175/MWR-D-21-0111.1

Patil A., B. Fersch, H. Hendricks Franssen & H. Kunstmann, 2021
Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model.
Frontiers in Water, 3, doi:10.3389/frwa.2021.729592

Tangborn A., B. Demoz, B.J. Carroll, J. Santanello & J.L. Anderson, 2021
Assimilation of lidar planetary boundary layer height observations.
Atmospheric Measurement Techniques, 14, 1099-1110, doi:10.5194/amt-14-1099-2021

Hsu C. & N.M. Pedatella, 2021
Assessing the Impact of ICON/MIGHTI Zonal and Meridional Winds on Upper Atmosphere Weather Specification in a Whole Atmosphere Data Assimilation System: An Observing System Simulation Experiment.
Journal of Geophysical Research: Space Physics, 126, e2021JA029275, doi:10.1029/2021JA029275

Datta-Barua S., N. Pedatella, K. Greer, N. Wang, L. Nutter & V.L. Harvey, 2021
Lower Thermospheric Material Transport via Lagrangian Coherent Structures.
Journal of Geophysical Research: Space Physics, 126, e2020JA028834, doi:10.1029/2020JA028834

Hsu C., N.M. Pedatella & J.L. Anderson, 2021
Impact of Thermospheric Wind Data Assimilation on Ionospheric Electrodynamics Using a Coupled Whole Atmosphere Data Assimilation System.
Journal of Geophysical Research: Space Physics, 126, e2021JA029656, doi:10.1029/2021JA029656

Kerr C.A., L.J. Wicker & P.S. Skinner, 2021
Updraft-Based Adaptive Assimilation of Radial Velocity Observations in a Warn-on-Forecast System.
Weather and Forecasting, 36, 21-37, doi:10.1175/WAF-D-19-0251.1

Phillipson L., Y. Li & R. Toumi, 2021
Strongly Coupled Assimilation of a Hypothetical Ocean Current Observing Network within a Regional Ocean–Atmosphere Coupled Model: An OSSE Case Study of Typhoon Hato.
Monthly Weather Review, 149, 1317-1336, doi:10.1175/MWR-D-20-0108.1

Matsuo T. & C. Hsu, 2021
Inference of Hidden States by Coupled Thermosphere-Ionosphere Data Assimilation,
Upper Atmosphere Dynamics and Energetics.
Wang W., Y. Zhang & L.J. Paxton, American Geophysical Union, ISBN: 978-1-119-81563-1

Liu X., A.P. Mizzi, J.L. Anderson, I. Fung & R.C. Cohen, 2021
The potential for geostationary remote sensing of NO₂ to improve weather prediction.
Atmospheric Chemistry and Physics, 21, 9573-9583, doi:10.5194/acp-21-9573-2021

Fomin V.V., I.I. Panasenkova, A.V. Gusev, A.V. Chaplygin & N.A. Diansky, 2021
Operational Modeling System of the Arctic Ocean and Adjacent Waters Based on the Russian INMOM-Arctic Model.
Scientific Research in the Arctic, 11, 205-218, doi:10.25283/2223-4594-2021-2-205-218

Yuting Z., S. Zheqi & W. Yanling, 2021
Data Assimilation Experiments Using Localized Particle Filter and Ensemble Kalman Filter with Community Earth System Model.
Acta Oceanographica, 43, 137-148, doi:10.12284/hyxb2021139

2020

Schwartz C.S., M. Wong, G.S. Romine, R.A. Sobash & K.R. Fossell, 2020
Initial Conditions for Convection-Allowing Ensembles over the Conterminous United States.
Monthly Weather Review, 148, 2645-2669, doi:10.1175/MWR-D-19-0401.1

Qiao X., S. Wang, C.S. Schwartz, Z. Liu & J. Min, 2020
A Method for Probability Matching Based on the Ensemble Maximum for Quantitative Precipitation Forecasts.
Monthly Weather Review, 148, 3379-3396, doi:10.1175/MWR-D-20-0003.1

Moore A., J. Zavala-Garay, H.G. Arango, C.A. Edwards, J. Anderson & T. Hoar, 2020
Regional and basin scale applications of ensemble adjustment Kalman filter and 4D-Var ocean data assimilation systems.
Progress in Oceanography, 189, 102450, doi:10.1016/j.pocean.2020.102450

Gharamti M.E., 2020
Hybrid Ensemble–Variational Filter: A Spatially and Temporally Varying Adaptive Algorithm to Estimate Relative Weighting.
Monthly Weather Review, 149, 65-76, doi:10.1175/MWR-D-20-0101.1

Toye H., S. Sanikommu, N.F. Raboudi & I. Hoteit, 2020
A hybrid ensemble adjustment Kalman filter based high-resolution data assimilation system for the Red Sea: Implementation and evaluation.
Quarterly Journal of the Royal Meteorological Society, 146, 4108-4130, doi:10.1002/qj.3894

Pedatella N.M., J.L. Anderson, C.H. Chen, K. Raeder, J. Liu, H. Liu & C.H. Lin, 2020
Assimilation of Ionosphere Observations in the Whole Atmosphere Community Climate Model with Thermosphere-Ionosphere EXtension (WACCMX).
Journal of Geophysical Research: Space Physics, 125, e2020JA028251, doi:10.1029/2020JA028251

Liu H., Y. Kuo, S. Sokolovskiy, X. Zou & Z. Zeng, 2020
Analysis bias induced in assimilation of the radio occultation bending angle with complex structures in the tropical troposphere.
Quarterly Journal of the Royal Meteorological Society, 146, 4030-4037, doi:10.1002/qj.3887

Anderson J.L., 2020
A Marginal Adjustment Rank Histogram Filter for Non-Gaussian Ensemble Data Assimilation.
Monthly Weather Review, 148, 3361-3378, doi:10.1175/MWR-D-19-0307.1

Singh T., 2020
Development of an ensemble data assimilation system with LMDZ5 AGCM for regional reanalysis.
Climate Dynamics, 54, 2847-2868, doi:10.1007/s00382-020-05147-z

Ma C., T. Wang, Z. Jiang, H. Wu, M. Zhao, B. Zhuang, S. Li, M. Xie, M. Li, J. Liu & R. Wu, 2020
Importance of Bias Correction in Data Assimilation of Multiple Observations Over Eastern China Using WRF-Chem/DART.
Journal of Geophysical Research: Atmospheres, 125, e2019JD031465, doi:10.1029/2019JD031465

Eliashiv J., A.C. Subramanian & A.J. Miller, 2020
Tropical climate variability in the Community Earth System Model: Data Assimilation Research Testbed.
Climate Dynamics, 54, 793-806, doi:10.1007/s00382-019-05030-6

Siongco A.C., H. Ma, S.A. Klein, S. Xie, A.R. Karspeck, K. Raeder & J.L. Anderson, 2020
A Hindcast Approach to Diagnosing the Equatorial Pacific Cold Tongue SST Bias in CESM1.
Journal of Climate, 33, 1437-1453, doi:10.1175/JCLI-D-19-0513.1

Wong M., G. Romine & C. Snyder, 2020
Model Improvement via Systematic Investigation of Physics Tendencies.
Monthly Weather Review, 148, 671-688, doi:10.1175/MWR-D-19-0255.1

Smith W.K., A.M. Fox, N. MacBean, D.J.P. Moore & N.C. Parazoo, 2020
Constraining estimates of terrestrial carbon uptake: new opportunities using long-term satellite observations and data assimilation.
New Phytologist, 225, 105-112, doi:10.1111/nph.16055

Li C., J. Berner, J. Hong, C. Fong & Y. Kuo, 2020
The Taiwan WRF Ensemble Prediction System: Scientific Description, Model-Error Representation and Performance Results.
Asia-Pacific Journal of Atmospheric Sciences, 56, 1-15, doi:10.1007/s13143-019-00127-8

Castruccio F.S., A.R. Karspeck, G. Danabasoglu, J. Hendricks, T. Hoar, N. Collins & J.L. Anderson, 2020
An EnOI-Based Data Assimilation System With DART for a High-Resolution Version of the CESM2 Ocean Component.
Journal of Advances in Modeling Earth Systems, 12, e2020MS002176, doi:10.1029/2020MS002176

Gaubert B., L.K. Emmons, K. Raeder, S. Tilmes, K. Miyazaki, A.F. Arellano Jr., N. Elguindi, C. Granier, W. Tang, J. Barré, H.M. Worden, R.R. Buchholz, D.P. Edwards, P. Franke, J.L. Anderson, M. Saunois, J. Schroeder, J. Woo, I.J. Simpson, D.R. Blake, S. Meinardi, P.O. Wennberg, J. Crounse, A. Teng, M. Kim, R.R. Dickerson, H. He, X. Ren, S.E. Pusede & G.S. Diskin, 2020
Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ.
Atmospheric Chemistry and Physics, 20, 14617-14647, doi:10.5194/acp-20-14617-2020

Fabry F. & V. Meunier, 2020
Why Are Radar Data so Difficult to Assimilate Skillfully?
Monthly Weather Review, 148, 2819-2836, doi:10.1175/MWR-D-19-0374.1

Necker T., M. Weissmann, Y. Ruckstuhl, J. Anderson & T. Miyoshi, 2020
Sampling Error Correction Evaluated Using a Convective-Scale 1000-Member Ensemble.
Monthly Weather Review, 148, 1229-1249, doi:10.1175/MWR-D-19-0154.1

Necker T., S. Geiss, M. Weissmann, J. Ruiz, T. Miyoshi & G. Lien, 2020
A convective-scale 1,000-member ensemble simulation and potential applications.
Quarterly Journal of the Royal Meteorological Society, 146, 1423-1442, doi:10.1002/qj.3744

Jayakrishnan K.U., G. Kutty & B. George, 2020
On the Predictability and Dynamics of Tropical Cyclone: Nargis (2008).
Journal of Geophysical Research: Atmospheres, 125, e2019JD032040, doi:10.1029/2019JD032040

Britt K.C., P.S. Skinner, P.L. Heinselman & K.H. Knopfmeier, 2020
Effects of Horizontal Grid Spacing and Inflow Environment on Forecasts of Cyclic Mesocyclogenesis in NSSL’s Warn-on-Forecast System (WoFS).
Weather and Forecasting, 35, 2423-2444, doi:10.1175/WAF-D-20-0094.1

Kerr C.A. & X. Wang, 2020
Ensemble-Based Targeted Observation Method Applied to Radar Radial Velocity Observations on Idealized Supercell Low-Level Rotation Forecasts: A Proof of Concept.
Monthly Weather Review, 148, 877-890, doi:10.1175/MWR-D-19-0197.1

Huang Y., X. Wang, C. Kerr, A. Mahre, T. Yu & D. Bodine, 2020
Impact of Assimilating Future Clear-Air Radial Velocity Observations from Phased-Array Radar on a Supercell Thunderstorm Forecast: An Observing System Simulation Experiment Study.
Monthly Weather Review, 148, 3825-3845, doi:10.1175/MWR-D-19-0391.1

Chen Y., W. Zhang & P. Wang, 2020
An application of the localized weighted ensemble Kalman filter for ocean data assimilation.
Quarterly Journal of the Royal Meteorological Society, 146, 3029-3047, doi:10.1002/qj.3824

Lewis W.E., T.J. Wagner, J.A. Otkin & T.A. Jones, 2020
Impact of AERI Temperature and Moisture Retrievals on the Simulation of a Central Plains Severe Convective Weather Event.
Atmosphere, 11, 729, doi:10.3390/atmos11070729

Coleman A. & B. Ancell, 2020
Toward the Improvement of High-Impact Probabilistic Forecasts with a Sensitivity-Based Convective-Scale Ensemble Subsetting Technique.
Monthly Weather Review, 148, 4995-5014, doi:10.1175/MWR-D-20-0043.1

Wu Y., Z. Shen & Y. Tang, 2020
A Flow-Dependent Targeted Observation Method for Ensemble Kalman Filter Assimilation Systems.
Earth and Space Science, 7, e2020EA001149, doi:10.1029/2020EA001149

Wenqi J., C.U.I. Yuanyuan, W. Yegui, J. Huiming, C.a.I. Qifa & L.a.N. Weiren, 2020
Assimilation of Near Space Temperature Data from SABER and MLS Observations into the Whole Atmosphere Community Climate Model and Data Assimilation Research Test-bed.
Chinese Journal of Space Science, 40, 227-241, doi:10.11728/cjss2020.02.227

Eliashiv J., A.C. Subramanian & A.J. Miller, 2020
A Reliability Budget Analysis of CESM-DART.
Journal of Advances in Modeling Earth Systems, 12, e2019MS001678, doi:10.1029/2019MS001678

Sanikommu S., H. Toye, P. Zhan, S. Langodan, G. Krokos, O. Knio & I. Hoteit, 2020
Impact of Atmospheric and Model Physics Perturbations on a High-Resolution Ensemble Data Assimilation System of the Red Sea.
Journal of Geophysical Research: Oceans, 125, e2019JC015611, doi:10.1029/2019JC015611

2019

Schwartz C.S., G.S. Romine, R.A. Sobash, K.R. Fossell & M.L. Weisman, 2019
NCAR’s Real-Time Convection-Allowing Ensemble Project.
Bulletin of the American Meteorological Society, 100, 321-343, doi:10.1175/BAMS-D-17-0297.1

Yang J., M. Astitha & C.S. Schwartz, 2019
Assessment of Storm Wind Speed Prediction Using Gridded Bayesian Regression Applied to Historical Events With NCAR’s Real-Time Ensemble Forecast System.
Journal of Geophysical Research: Atmospheres, 124, 9241-9261, doi:10.1029/2018JD029590

Gopalakrishnan G., I. Hoteit, B.D. Cornuelle & D.L. Rudnick, 2019
Comparison of 4DVAR and EnKF state estimates and forecasts in the Gulf of Mexico.
Quarterly Journal of the Royal Meteorological Society, 145, 1354-1376, doi:https://doi.org/10.1002/qj.3493

Gharamti M.E., K. Raeder, J. Anderson & X. Wang, 2019
Comparing Adaptive Prior and Posterior Inflation for Ensemble Filters Using an Atmospheric General Circulation Model.
Monthly Weather Review, 147, 2535-2553, doi:10.1175/MWR-D-18-0389.1

Trier S.B., G.S. Romine, D.A. Ahijevych & R.A. Sobash, 2019
Lower-Tropospheric Influences on the Timing and Intensity of Afternoon Severe Convection over Modest Terrain in a Convection-Allowing Ensemble.
Weather and Forecasting, 34, 1633-1656, doi:10.1175/WAF-D-19-0087.1

Pedatella N.M., H. Liu, D.R. Marsh, K. Raeder & J.L. Anderson, 2019
Error growth in the Mesosphere and Lower Thermosphere Based on Hindcast Experiments in a Whole Atmosphere Model.
Space Weather, 17, 1442-1460, doi:10.1029/2019SW002221

Smith N.H. & B.C. Ancell, 2019
Variations in Parametric Sensitivity for Wind Ramp Events in the Columbia River Basin.
Monthly Weather Review, 147, 4633-4651, doi:10.1175/MWR-D-19-0019.1

Flora M.L., P.S. Skinner, C.K. Potvin, A.E. Reinhart, T.A. Jones, N. Yussouf & K.H. Knopfmeier, 2019
Object-Based Verification of Short-Term, Storm-Scale Probabilistic Mesocyclone Guidance from an Experimental Warn-on-Forecast System.
Weather and Forecasting, 34, 1721-1739, doi:10.1175/WAF-D-19-0094.1

Bian Q., Z. Xu, L. Zhao, Y. Zhang, H. Zheng, C. Shi, S. Zhang, C. Xie & Z. Yang, 2019
Evaluation and Intercomparison of Multiple Snow Water Equivalent Products over the Tibetan Plateau.
Journal of Hydrometeorology, 20, 2043-2055, doi:10.1175/JHM-D-19-0011.1

Potvin C.K., J.R. Carley, A.J. Clark, L.J. Wicker, P.S. Skinner, A.E. Reinhart, B.T. Gallo, J.S. Kain, G.S. Romine, E.A. Aligo, K.A. Brewster, D.C. Dowell, L.M. Harris, I.L. Jirak, F. Kong, T.A. Supinie, K.W. Thomas, X. Wang, Y. Wang & M. Xue, 2019
Systematic Comparison of Convection-Allowing Models during the 2017 NOAA HWT Spring Forecasting Experiment.
Weather and Forecasting, 34, 1395-1416, doi:10.1175/WAF-D-19-0056.1

Ma C., T. Wang, A.P. Mizzi, J.L. Anderson, B. Zhuang, M. Xie & R. Wu, 2019
Multiconstituent Data Assimilation With WRF-Chem/DART: Potential for Adjusting Anthropogenic Emissions and Improving Air Quality Forecasts Over Eastern China.
Journal of Geophysical Research: Atmospheres, 124, 7393-7412, doi:10.1029/2019JD030421

Kurzrock F., H. Nguyen, J. Sauer, F. Chane Ming, S. Cros, W.L. Smith Jr., P. Minnis, R. Palikonda, T.A. Jones, C. Lallemand, L. Linguet & G. Lajoie, 2019
Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment.
Geoscientific Model Development, 12, 3939-3954, doi:10.5194/gmd-12-3939-2019

Anderson J.L., 2019
A Nonlinear Rank Regression Method for Ensemble Kalman Filter Data Assimilation.
Monthly Weather Review, 147, 2847-2860, doi:10.1175/MWR-D-18-0448.1

Laskar F.I., G. Stober, J. Fiedler, M.M. Oppenheim, J.L. Chau, D. Pallamraju, N.M. Pedatella, M. Tsutsumi & T. Renkwitz, 2019
Mesospheric anomalous diffusion during noctilucent cloud scenarios.
Atmospheric Chemistry and Physics, 19, 5259-5267, doi:10.5194/acp-19-5259-2019

Tang W., L.K. Emmons, A.F. Arellano Jr, B. Gaubert, C. Knote, S. Tilmes, R.R. Buchholz, G.G. Pfister, G.S. Diskin, D.R. Blake, N.J. Blake, S. Meinardi, J.P. DiGangi, Y. Choi, J. Woo, C. He, J.R. Schroeder, I. Suh, H. Lee, H. Jo, Y. Kanaya, J. Jung, Y. Lee & D. Kim, 2019
Source Contributions to Carbon Monoxide Concentrations During KORUS-AQ Based on CAM-chem Model Applications.
Journal of Geophysical Research: Atmospheres, 124, 2796-2822, doi:10.1029/2018JD029151

Ling X., C. Fu, Z. Yang & W. Guo, 2019
Comparison of different sequential assimilation algorithms for satellite-derived leaf area index using the Data Assimilation Research Testbed (version Lanai).
Geoscientific Model Development, 12, 3119-3133, doi:10.5194/gmd-12-3119-2019

Kerr C.A., D.J. Stensrud & X. Wang, 2019
Diagnosing Convective Dependencies on Near-Storm Environments Using Ensemble Sensitivity Analyses.
Monthly Weather Review, 147, 495-517, doi:10.1175/MWR-D-18-0140.1

Coniglio M.C., G.S. Romine, D.D. Turner & R.D. Torn, 2019
Impacts of Targeted AERI and Doppler Lidar Wind Retrievals on Short-Term Forecasts of the Initiation and Early Evolution of Thunderstorms.
Monthly Weather Review, 147, 1149-1170, doi:10.1175/MWR-D-18-0351.1

Carrió D.S., V. Homar & D.M. Wheatley, 2019
Potential of an EnKF Storm-Scale Data Assimilation System Over Sparse Observation Regions with Complex Orography.
Atmospheric Research, 216, 186-206, doi:10.1016/j.atmosres.2018.10.004

Ling X.L., C.B. Fu, W.D. Guo & Z. Yang, 2019
Assimilation of Remotely Sensed LAI Into CLM4CN Using DART.
Journal of Advances in Modeling Earth Systems, 11, 2768-2786, doi:10.1029/2019MS001634

Chen C., C.C. Lin & T. Matsuo, 2019
Ionospheric responses to the 21 August 2017 solar eclipse by using data assimilation approach.
Progress in Earth and Planetary Science, 6, 13, doi:10.1186/s40645-019-0263-4

Flournoy M.D. & M.C. Coniglio, 2019
Origins of Vorticity in a Simulated Tornadic Mesovortex Observed during PECAN on 6 July 2015.
Monthly Weather Review, 147, 107-134, doi:10.1175/MWR-D-18-0221.1

Wang Y., J. Gao, P.S. Skinner, K. Knopfmeier, T. Jones, G. Creager, P.L. Heiselman & L.J. Wicker, 2019
Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather Events.
Weather and Forecasting, 34, 1807-1827, doi:10.1175/WAF-D-19-0071.1

Poterjoy J., L. Wicker & M. Buehner, 2019
Progress toward the Application of a Localized Particle Filter for Numerical Weather Prediction.
Monthly Weather Review, 147, 1107-1126, doi:10.1175/MWR-D-17-0344.1

2018

Karspeck A.R., G. Danabasoglu, J. Anderson, S. Karol, N. Collins, M. Vertenstein, K. Raeder, T. Hoar, R. Neale, J. Edwards & A. Craig, 2018
A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed.
Quarterly Journal of the Royal Meteorological Society, 144, 2404-2430, doi:10.1002/qj.3308

Gharamti M., 2018
Enhanced Adaptive Inflation Algorithm for Ensemble Filters.
Monthly Weather Review, 146, 623-640, doi:10.1175/MWR-D-17-0187.1

Pan S., J. Gao, D.J. Stensrud, X. Wang & T.A. Jones, 2018
Assimilation of Radar Radial Velocity and Reflectivity, Satellite Cloud Water Path, and Total Precipitable Water for Convective-Scale NWP in OSSEs.
Journal of Atmospheric and Oceanic Technology, 35, 67-89, doi:10.1175/JTECH-D-17-0081.1

Clark A.J., I.L. Jirak, S.R. Dembek, G.J. Creager, F. Kong, K.W. Thomas, K.H. Knopfmeier, B.T. Gallo, C.J. Melick, M. Xue, K.A. Brewster, Y. Jung, A. Kennedy, X. Dong, J. Markel, M. Gilmore, G.S. Romine, K.R. Fossell, R.A. Sobash, J.R. Carley, B.S. Ferrier, M. Pyle, C.R. Alexander, S.J. Weiss, J.S. Kain, L.J. Wicker, G. Thompson, R.D. Adams-Selin & D.A. Imy, 2018
The Community Leveraged Unified Ensemble (CLUE) in the 2016 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment.
Bulletin of the American Meteorological Society, 99, 1433-1448, doi:10.1175/BAMS-D-16-0309.1

Pedatella N.M., H. Liu, D.R. Marsh, K. Raeder, J.L. Anderson, J.L. Chau, L.P. Goncharenko & T.A. Siddiqui, 2018
Analysis and Hindcast Experiments of the 2009 Sudden Stratospheric Warming in WACCMX+DART.
Journal of Geophysical Research: Space Physics, 123, 3131-3153, doi:10.1002/2017JA025107

Zhang Y., C.M. Bitz, J.L. Anderson, N. Collins, J. Hendricks, T. Hoar, K. Raeder & F. Massonnet, 2018
Insights on Sea Ice Data Assimilation from Perfect Model Observing System Simulation Experiments.
Journal of Climate, 31, 5911-5926, doi:10.1175/JCLI-D-17-0904.1

Toye H., S. Kortas, P. Zhan & I. Hoteit, 2018
A fault-tolerant HPC scheduler extension for large and operational ensemble data assimilation: Application to the Red Sea.
Journal of Computational Science, 27, 46-56, doi:10.1016/j.jocs.2018.04.018

Fox A.M., T.J. Hoar, J.L. Anderson, A.F. Arellano, W.K. Smith, M.E. Litvak, N. MacBean, D.S. Schimel & D.J.P. Moore, 2018
Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5.
Journal of Advances in Modeling Earth Systems, 10, 2471-2494, doi:10.1029/2018MS001362

Aydoğdu A., T.J. Hoar, T. Vukicevic, J.L. Anderson, N. Pinardi, A. Karspeck, J. Hendricks, N. Collins, F. Macchia & E. Özsoy, 2018
OSSE for a sustainable marine observing network in the Sea of Marmara.
Nonlinear Processes in Geophysics, 25, 537-551, doi:10.5194/npg-25-537-2018

Chen Y., M. Hsieh, H. Liu, L. Hsiao, L. Chang, C. Huang & Y. Kuo, 2018
Applications of Local Spectral Width on GPS RO Data Assimilation to Operational Typhoon Track Forecasts.
Journal of Aeronautics, Astronautics and Aviation, 50, 415-427, doi:10.6125/JoAAA.201812_50(4).07

Chen S., H. Zhao & C. Huang, 2018
Impacts of GNSS Radio Occultation Data on Predictions of Two Super-Intense Typhoons with WRF Hybrid Variational-Ensemble Data Assimilation.
Journal of Aeronautics, Astronautics and Aviation, 50, 347-364, doi:10.6125/JoAAA.201812_50(4).02

Šavli M., N. Žagar & J.L. Anderson, 2018
Assimilation of horizontal line-of-sight winds with a mesoscale EnKF data assimilation system.
Quarterly Journal of the Royal Meteorological Society, 144, 2133-2155, doi:10.1002/qj.3323

Stratman D.R., C.K. Potvin & L.J. Wicker, 2018
Correcting Storm Displacement Errors in Ensembles Using the Feature Alignment Technique (FAT).
Monthly Weather Review, 146, 2125-2145, doi:10.1175/MWR-D-17-0357.1

Mizzi A.P., D.P. Edwards & J.L. Anderson, 2018
Assimilating compact phase space retrievals (CPSRs): comparison with independent observations (MOZAIC in situ and IASI retrievals) and extension to assimilation of truncated retrieval profiles.
Geoscientific Model Development, 11, 3727-3745, doi:10.5194/gmd-11-3727-2018

Chmielewski V.C., E.C. Bruning & B.C. Ancell, 2018
Variations of Thunderstorm Charge Structures in West Texas on 4 June 2012.
Journal of Geophysical Research: Atmospheres, 123, 9502-9523, doi:10.1029/2018JD029006

McNicholas C. & C.F. Mass, 2018
Impacts of Assimilating Smartphone Pressure Observations on Forecast Skill during Two Case Studies in the Pacific Northwest.
Weather and Forecasting, 33, 1375-1396, doi:10.1175/WAF-D-18-0085.1

Li Y. & R. Toumi, 2018
Improved Tropical Cyclone Intensity Forecasts by Assimilating Coastal Surface Currents in an Idealized Study.
Geophysical Research Letters, 45, 10,019-10,026, doi:10.1029/2018GL079677

Liu H., Y. Kuo, S. Sokolovskiy, X. Zou, Z. Zeng, L. Hsiao & B.C. Ruston, 2018
A Quality Control Procedure Based on Bending Angle Measurement Uncertainty for Radio Occultation Data Assimilation in the Tropical Lower Troposphere.
Journal of Atmospheric and Oceanic Technology, 35, 2117-2131, doi:10.1175/JTECH-D-17-0224.1

Gan Q., J. Oberheide & N.M. Pedatella, 2018
Sources, Sinks, and Propagation Characteristics of the Quasi 6-Day Wave and Its Impact on the Residual Mean Circulation.
Journal of Geophysical Research: Atmospheres, 123, 9152-9170, doi:10.1029/2018JD028553

Jones T.A., P. Skinner, K. Knopfmeier, E. Mansell, P. Minnis, R. Palikonda & W. Smith, 2018
Comparison of Cloud Microphysics Schemes in a Warn-on-Forecast System Using Synthetic Satellite Objects.
Weather and Forecasting, 33, 1681-1708, doi:10.1175/WAF-D-18-0112.1

Jones T.A., X. Wang, P. Skinner, A. Johnson & Y. Wang, 2018
Assimilation of GOES-13 Imager Clear-Sky Water Vapor (6.5 μm) Radiances into a Warn-on-Forecast System.
Monthly Weather Review, 146, 1077-1107, doi:10.1175/MWR-D-17-0280.1

Skinner P.S., D.M. Wheatley, K.H. Knopfmeier, A.E. Reinhart, J.J. Choate, T.A. Jones, G.J. Creager, D.C. Dowell, C.R. Alexander, T.T. Ladwig, L.J. Wicker, P.L. Heinselman, P. Minnis & R. Palikonda, 2018
Object-Based Verification of a Prototype Warn-on-Forecast System.
Weather and Forecasting, 33, 1225-1250, doi:10.1175/WAF-D-18-0020.1

2017

Schwartz C.S., 2017
A Comparison of Methods Used to Populate Neighborhood-Based Contingency Tables for High-Resolution Forecast Verification.
Weather and Forecasting, 32, 733-741, doi:10.1175/WAF-D-16-0187.1

Schwartz C.S., G.S. Romine, K.R. Fossell, R.A. Sobash & M.L. Weisman, 2017
Toward 1-km Ensemble Forecasts over Large Domains.
Monthly Weather Review, 145, 2943-2969, doi:10.1175/MWR-D-16-0410.1

Torn R.D., G.S. Romine & T.J. Galarneau, 2017
Sensitivity of Dryline Convection Forecasts to Upstream Forecast Errors for Two Weakly Forced MPEX Cases.
Monthly Weather Review, 145, 1831-1852, doi:10.1175/MWR-D-16-0457.1

Dawson L.C., G.S. Romine, R.J. Trapp & M.E. Baldwin, 2017
Verifying Supercellular Rotation in a Convection-Permitting Ensemble Forecasting System with Radar-Derived Rotation Track Data.
Weather and Forecasting, 32, 781-795, doi:10.1175/WAF-D-16-0121.1

Berman J.D., R.D. Torn, G.S. Romine & M.L. Weisman, 2017
Sensitivity of Northern Great Plains Convection Forecasts to Upstream and Downstream Forecast Errors.
Monthly Weather Review, 145, 2141-2163, doi:10.1175/MWR-D-16-0353.1

Madaus L.E. & C.F. Mass, 2017
Evaluating Smartphone Pressure Observations for Mesoscale Analyses and Forecasts.
Weather and Forecasting, 32, 511-531, doi:10.1175/WAF-D-16-0135.1

Kerr C.A., D.J. Stensrud & X. Wang, 2017
Verification of Convection-Allowing Model Ensemble Analyses of Near-Storm Environments Using MPEX Upsonde Observations.
Monthly Weather Review, 145, 857-875, doi:10.1175/MWR-D-16-0287.1

Velden C., W.E. Lewis, W. Bresky, D. Stettner, J. Daniels & S. Wanzong, 2017
Assimilation of High-Resolution Satellite-Derived Atmospheric Motion Vectors: Impact on HWRF Forecasts of Tropical Cyclone Track and Intensity.
Monthly Weather Review, 145, 1107-1125, doi:10.1175/MWR-D-16-0229.1

Chen C., C.C.H. Lin, J. Liu, T. Matsuo & W. Chen, 2017
The impact of FORMOSAT-5/AIP observations on the ionospheric space weather.
Terrestrial, Atmospheric and Oceanic Sciences Journal, 28, 129-137, doi:10.3319/TAO.2016.09.30.01(EOF5)

Poterjoy J., R.A. Sobash & J.L. Anderson, 2017
Convective-Scale Data Assimilation for the Weather Research and Forecasting Model Using the Local Particle Filter.
Monthly Weather Review, 145, 1897-1918, doi:10.1175/MWR-D-16-0298.1

Chen C., C. Lin, W. Chen & T. Matsuo, 2017
Modeling the ionospheric prereversal enhancement by using coupled thermosphere-ionosphere data assimilation.
Geophysical Research Letters, 44, 1652-1659, doi:10.1002/2016GL071812

Rubin J.I., J.S. Reid, J.A. Hansen, J.L. Anderson, B.N. Holben, P. Xian, D.L. Westphal & J. Zhang, 2017
Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill.
Journal of Geophysical Research: Atmospheres, 122, 4967-4992, doi:10.1002/2016JD026067

Liu X., A.P. Mizzi, J.L. Anderson, I.Y. Fung & R.C. Cohen, 2017
Assimilation of satellite NO₂ observations at high spatial resolution using OSSEs.
Atmospheric Chemistry and Physics, 17, 7067-7081, doi:10.5194/acp-17-7067-2017

Keclik A.M., C. Evans, P.J. Roebber & G.S. Romine, 2017
The Influence of Assimilated Upstream, Preconvective Dropsonde Observations on Ensemble Forecasts of Convection Initiation during the Mesoscale Predictability Experiment.
Monthly Weather Review, 145, 4747-4770, doi:10.1175/MWR-D-17-0159.1

Kwon Y., Z. Yang, T.J. Hoar & A.M. Toure, 2017
Improving the Radiance Assimilation Performance in Estimating Snow Water Storage across Snow and Land-Cover Types in North America.
Journal of Hydrometeorology, 18, 651-668, doi:10.1175/JHM-D-16-0102.1

Hodyss D., J.L. Anderson, N. Collins, W.F. Campbell & P.A. Reinecke, 2017
Quadratic Polynomial Regression Using Serial Observation Processing: Implementation within DART.
Monthly Weather Review, 145, 4467-4479, doi:10.1175/MWR-D-17-0089.1

Gu S., H. Liu, N.M. Pedatella, X. Dou & Y. Liu, 2017
On the wave number 2 eastward propagating quasi 2 day wave at middle and high latitudes.
Journal of Geophysical Research: Space Physics, 122, 4489-4499, doi:10.1002/2016JA023353

Lee J.A., J.P. Hacker, L.D. Monache, B. Kosović, A. Clifton, F. Vandenberghe & J.S. Rodrigo, 2017
Improving Wind Predictions in the Marine Atmospheric Boundary Layer through Parameter Estimation in a Single-Column Model.
Monthly Weather Review, 145, 5-24, doi:10.1175/MWR-D-16-0063.1

Gaubert B., H.M. Worden, A.F.J. Arellano, L.K. Emmons, S. Tilmes, J. Barré, S. Martinez Alonso, F. Vitt, J.L. Anderson, F. Alkemade, S. Houweling & D.P. Edwards, 2017
Chemical Feedback From Decreasing Carbon Monoxide Emissions.
Geophysical Research Letters, 44, 9985-9995, doi:10.1002/2017GL074987

Li Y. & R. Toumi, 2017
A balanced Kalman filter ocean data assimilation system with application to the South Australian Sea.
Ocean Modelling, 116, 159-172, doi:10.1016/j.ocemod.2017.06.007

Leidner S.M., T. Nehrkorn, J. Henderson, M. Mountain, T. Yunck & R.N. Hoffman, 2017
A Severe Weather Quick Observing System Simulation Experiment (QuickOSSE) of Global Navigation Satellite System (GNSS) Radio Occultation (RO) Superconstellations.
Monthly Weather Review, 145, 637-651, doi:10.1175/MWR-D-16-0212.1

Lorente-Plazas R. & J.P. Hacker, 2017
Observation and Model Bias Estimation in the Presence of Either or Both Sources of Error.
Monthly Weather Review, 145, 2683-2696, doi:10.1175/MWR-D-16-0273.1

Smith N.H. & B.C. Ancell, 2017
Ensemble Sensitivity Analysis of Wind Ramp Events with Applications to Observation Targeting.
Monthly Weather Review, 145, 2505-2522, doi:10.1175/MWR-D-16-0306.1

Grunzke C.T. & C. Evans, 2017
Predictability and Dynamics of Warm-Core Mesoscale Vortex Formation with the 8 May 2009 “Super Derecho” Event.
Monthly Weather Review, 145, 811-832, doi:10.1175/MWR-D-16-0217.1

Madaus L.E. & G.J. Hakim, 2017
Constraining Ensemble Forecasts of Discrete Convective Initiation with Surface Observations.
Monthly Weather Review, 145, 2597-2610, doi:10.1175/MWR-D-16-0395.1

Burlingame B.M., C. Evans & P.J. Roebber, 2017
The Influence of PBL Parameterization on the Practical Predictability of Convection Initiation during the Mesoscale Predictability Experiment (MPEX).
Weather and Forecasting, 32, 1161-1183, doi:10.1175/WAF-D-16-0174.1

Jones T.A., S. Koch & Z. Li, 2017
Assimilating synthetic hyperspectral sounder temperature and humidity retrievals to improve severe weather forecasts.
Atmospheric Research, 186, 9-25, doi:10.1016/j.atmosres.2016.11.004

Amengual A., D.S. Carrió, G. Ravazzani & V. Homar, 2017
A Comparison of Ensemble Strategies for Flash Flood Forecasting: The 12 October 2007 Case Study in Valencia, Spain.
Journal of Hydrometeorology, 18, 1143-1166, doi:10.1175/JHM-D-16-0281.1

Parsons D.B., M. Beland, D. Burridge, P. Bougeault, G. Brunet, J. Caughey, S.M. Cavallo, M. Charron, H.C. Davies, A.D. Niang, V. Ducrocq, P. Gauthier, T.M. Hamill, P.A. Harr, S.C. Jones, R.H. Langland, S.J. Majumdar, B.N. Mills, M. Moncrieff, T. Nakazawa, T. Paccagnella, F. Rabier, J. Redelsperger, C. Riedel, R.W. Saunders, M.A. Shapiro, R. Swinbank, I. Szunyogh, C. Thorncroft, A.J. Thorpe, X. Wang, D. Waliser, H. Wernli & Z. Toth, 2017
THORPEX Research and the Science of Prediction.
Bulletin of the American Meteorological Society, 98, 807-830, doi:10.1175/BAMS-D-14-00025.1

Ha S., C. Snyder, W.C. Skamarock, J. Anderson & N. Collins, 2017
Ensemble Kalman Filter Data Assimilation for the Model for Prediction Across Scales (MPAS).
Monthly Weather Review, 145, 4673-4692, doi:10.1175/MWR-D-17-0145.1

Toye H., P. Zhan, G. Gopalakrishnan, A.R. Kartadikaria, H. Huang, O. Knio & I. Hoteit, 2017
Ensemble data assimilation in the Red Sea: sensitivity to ensemble selection and atmospheric forcing.
Ocean Dynamics, 67, 915-933, doi:10.1007/s10236-017-1064-1

Trier S.B., J.W. Wilson, D.A. Ahijevych & R.A. Sobash, 2017
Mesoscale Vertical Motions near Nocturnal Convection Initiation in PECAN.
Monthly Weather Review, 145, 2919-2941, doi:10.1175/MWR-D-17-0005.1

Gallo B.T., A.J. Clark, I. Jirak, J.S. Kain, S.J. Weiss, M. Coniglio, K. Knopfmeier, J. Correia, C.J. Melick, C.D. Karstens, E. Iyer, A.R. Dean, M. Xue, F. Kong, Y. Jung, F. Shen, K.W. Thomas, K. Brewster, D. Stratman, G.W. Carbin, W. Line, R. Adams-Selin & S. Willington, 2017
Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment.
Weather and Forecasting, 32, 1541-1568, doi:10.1175/WAF-D-16-0178.1

Gagne D.J., A. McGovern, S.E. Haupt, R.A. Sobash, J.K. Williams & M. Xue, 2017
Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles.
Weather and Forecasting, 32, 1819-1840, doi:10.1175/WAF-D-17-0010.1

2016

Sobash R.A., C.S. Schwartz, G.S. Romine, K.R. Fossell & M.L. Weisman, 2016
Severe Weather Prediction Using Storm Surrogates from an Ensemble Forecasting System.
Weather and Forecasting, 31, 255-271, doi:10.1175/WAF-D-15-0138.1

Sobash R.A., G.S. Romine, C.S. Schwartz, D.J. Gagne & M.L. Weisman, 2016
Explicit Forecasts of Low-Level Rotation from Convection-Allowing Models for Next-Day Tornado Prediction.
Weather and Forecasting, 31, 1591-1614, doi:10.1175/WAF-D-16-0073.1

Marquis J., Y. Richardson, P. Markowski, J. Wurman, K. Kosiba & P. Robinson, 2016
An Investigation of the Goshen County, Wyoming, Tornadic Supercell of 5 June 2009 Using EnKF Assimilation of Mobile Mesonet and Radar Observations Collected during VORTEX2. Part II: Mesocyclone-Scale Processes Affecting Tornado Formation, Maintenance, and Decay.
Monthly Weather Review, 144, 3441-3463, doi:10.1175/MWR-D-15-0411.1

Rubin J.I., J.S. Reid, J.A. Hansen, J.L. Anderson, N. Collins, T.J. Hoar, T. Hogan, P. Lynch, J. McLay, C.A. Reynolds, W.R. Sessions, D.L. Westphal & J. Zhang, 2016
Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting.
Atmospheric Chemistry and Physics, 16, 3927-3951, doi:10.5194/acp-16-3927-2016

Chartier A.T., T. Matsuo, J.L. Anderson, N. Collins, T.J. Hoar, G. Lu, C.N. Mitchell, A.J. Coster, L.J. Paxton & G.S. Bust, 2016
Ionospheric data assimilation and forecasting during storms.
Journal of Geophysical Research: Space Physics, 121, 764-778, doi:10.1002/2014JA020799

Penny A.B., J.P. Hacker & P.A. Harr, 2016
Analysis of Tropical Storm Formation Based on Ensemble Data Assimilation and High-Resolution Numerical Simulations of a Nondeveloping Disturbance.
Monthly Weather Review, 144, 3631-3649, doi:10.1175/MWR-D-16-0100.1

Dikpati M., J.L. Anderson & D. Mitra, 2016
Data Assimilation in a Solar Dynamo Model Using Ensemble Kalman Filters: Sensitivity and Robustness in Reconstruction of Meridional Flow Speed.
The Astrophysical Journal, 828, 91, doi:10.3847/0004-637X/828/2/91

Mizzi A.P., A.F. Arellano Jr., D.P. Edwards, J.L. Anderson & G.G. Pfister, 2016
Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system.
Geoscientific Model Development, 9, 965-978, doi:10.5194/gmd-9-965-2016

Dikpati M., D. Mitra & J.L. Anderson, 2016
Role of response time of a Babcock-Leighton solar dynamo model in meridional flow-speed reconstruction by EnKF data assimilation.
Advances in Space Research, 58, 1589-1595, doi:10.1016/j.asr.2016.08.004

Zhao L., Z. Yang & T.J. Hoar, 2016
Global Soil Moisture Estimation by Assimilating AMSR-E Brightness Temperatures in a Coupled CLM4–RTM–DART System.
Journal of Hydrometeorology, 17, 2431-2454, doi:10.1175/JHM-D-15-0218.1

Pedatella N.M., J. Oberheide, E.K. Sutton, H. Liu, J.L. Anderson & K. Raeder, 2016
Short-term nonmigrating tide variability in the mesosphere, thermosphere, and ionosphere.
Journal of Geophysical Research: Space Physics, 121, 3621-3633, doi:10.1002/2016JA022528

Gu S., H. Liu, N.M. Pedatella, X. Dou & Z. Shu, 2016
The quasi-2 day wave activities during 2007 boreal summer period as revealed by Whole Atmosphere Community Climate Model.
Journal of Geophysical Research: Space Physics, 121, 7256-7268, doi:10.1002/2016JA022867

Jewtoukoff V., R. Plougonven, A. Hertzog, C. Snyder & G. Romine, 2016
On the Prediction of Stratospheric Balloon Trajectories: Improving Winds with Mesoscale Simulations.
Journal of Atmospheric and Oceanic Technology, 33, 1629-1647, doi:10.1175/JTECH-D-15-0110.1

Gaubert B., A.F. Arellano Jr., J. Barré, H.M. Worden, L.K. Emmons, S. Tilmes, R.R. Buchholz, F. Vitt, K. Raeder, N. Collins, J.L. Anderson, C. Wiedinmyer, S. Martinez Alonso, D.P. Edwards, M.O. Andreae, J.W. Hannigan, C. Petri, K. Strong & N. Jones, 2016
Toward a chemical reanalysis in a coupled chemistry-climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition.
Journal of Geophysical Research: Atmospheres, 121, 7310-7343, doi:10.1002/2016JD024863

Hill A.J., C.C. Weiss & B.C. Ancell, 2016
Ensemble Sensitivity Analysis for Mesoscale Forecasts of Dryline Convection Initiation.
Monthly Weather Review, 144, 4161-4182, doi:10.1175/MWR-D-15-0338.1

Hitchcock S.M., M.C. Coniglio & K.H. Knopfmeier, 2016
Impact of MPEX Upsonde Observations on Ensemble Analyses and Forecasts of the 31 May 2013 Convective Event over Oklahoma.
Monthly Weather Review, 144, 2889-2913, doi:10.1175/MWR-D-15-0344.1

Jones T.A., K. Knopfmeier, D. Wheatley, G. Creager, P. Minnis & R. Palikonda, 2016
Storm-Scale Data Assimilation and Ensemble Forecasting with the NSSL Experimental Warn-on-Forecast System. Part II: Combined Radar and Satellite Data Experiments.
Weather and Forecasting, 31, 297-327, doi:10.1175/WAF-D-15-0107.1

Žagar N., J. Anderson, N. Collins, T. Hoar, K. Raeder, L. Lei & J. Tribbia, 2016
Scale-Dependent Representation of the Information Content of Observations in the Global Ensemble Kalman Filter Data Assimilation.
Monthly Weather Review, 144, 2927-2945, doi:10.1175/MWR-D-15-0401.1

Islam S.U., Y. Tang & P.L. Jackson, 2016
Optimal error growth of South Asian monsoon forecast associated with the uncertainties in the sea surface temperature.
Climate Dynamics, 46, 1953-1975, doi:10.1007/s00382-015-2686-y

Barré J., D. Edwards, H. Worden, A. Arellano, B. Gaubert, A. Da Silva, W. Lahoz & J. Anderson, 2016
On the feasibility of monitoring carbon monoxide in the lower troposphere from a constellation of northern hemisphere geostationary satellites: Global scale assimilation experiments (Part II).
Atmospheric Environment, 140, 188-201, doi:10.1016/j.atmosenv.2016.06.001

Zhuang Z., N. Yussouf & J. Gao, 2016
Analyses and forecasts of a tornadic supercell outbreak using a 3DVAR system ensemble.
Advances in Atmospheric Sciences, 33, 544-558, doi:10.1007/s00376-015-5072-0

Wu X., 2016
Improving EnKF-Based Initialization for ENSO Prediction Using a Hybrid Adaptive Method.
Journal of Climate, 29, 7365-7381, doi:10.1175/JCLI-D-16-0062.1

Carrió D.S. & V. Homar, 2016
Potential of sequential EnKF for the short-range prediction of a maritime severe weather event.
Atmospheric Research, 178-179, 426-444, doi:10.1016/j.atmosres.2016.04.011

Cavallo S.M., J. Berner & C. Snyder, 2016
Diagnosing Model Errors from Time-Averaged Tendencies in the Weather Research and Forecasting (WRF) Model.
Monthly Weather Review, 144, 759-779, doi:10.1175/MWR-D-15-0120.1

Zhang Y. & Z. Yang, 2016
Estimating uncertainties in the newly developed multi-source land snow data assimilation system.
Journal of Geophysical Research: Atmospheres, 121, 8254-8268, doi:10.1002/2015JD024248

Boukabara S.A., T. Zhu, H.L. Tolman, S. Lord, S. Goodman, R. Atlas, M. Goldberg, T. Auligne, B. Pierce, L. Cucurull, M. Zupanski, M. Zhang, I. Moradi, J. Otkin, D. Santek, B. Hoover, Z. Pu, X. Zhan, C. Hain, E. Kalnay, D. Hotta, S. Nolin, E. Bayler, A. Mehra, S.P.F. Casey, D. Lindsey, L. Grasso, V.K. Kumar, A. Powell, J. Xu, T. Greenwald, J. Zajic, J. Li, J. Li, B. Li, J. Liu, L. Fang, P. Wang & T. Chen, 2016
S4: An O2R/R2O Infrastructure for Optimizing Satellite Data Utilization in NOAA Numerical Modeling Systems: A Step Toward Bridging the Gap between Research and Operations.
Bulletin of the American Meteorological Society, 97, 2359-2378, doi:10.1175/BAMS-D-14-00188.1

Coniglio M.C., S.M. Hitchcock & K.H. Knopfmeier, 2016
Impact of Assimilating Preconvective Upsonde Observations on Short-Term Forecasts of Convection Observed during MPEX.
Monthly Weather Review, 144, 4301-4325, doi:10.1175/MWR-D-16-0091.1

Serra Y.L., D.K. Adams, C. Minjarez-Sosa, J.M. Moker, A.F. Arellano, C.L. Castro, A.I. Quintanar, L. Alatorre, A. Granados, G.E. Vazquez, K. Holub & C. DeMets, 2016
The North American Monsoon GPS Transect Experiment 2013.
Bulletin of the American Meteorological Society, 97, 2103-2115, doi:10.1175/BAMS-D-14-00250.1

Romine G.S., C.S. Schwartz, R.D. Torn & M.L. Weisman, 2016
Impact of Assimilating Dropsonde Observations from MPEX on Ensemble Forecasts of Severe Weather Events.
Monthly Weather Review, 144, 3799-3823, doi:10.1175/MWR-D-15-0407.1

Chen C.H., C.H. Lin, T. Matsuo & W.H. Chen, 2016
Ionosphere data assimilation modeling of 2015 St. Patrick’s Day geomagnetic storm.
Journal of Geophysical Research: Space Physics, 121, 11,549-11,559, doi:10.1002/2016JA023346

Anderson J.L., 2016
Reducing Correlation Sampling Error in Ensemble Kalman Filter Data Assimilation.
Monthly Weather Review, 144, 913-925, doi:10.1175/MWR-D-15-0052.1

Kwon Y., Z. Yang, L. Zhao, T.J. Hoar, A.M. Toure & M. Rodell, 2016
Estimating Snow Water Storage in North America Using CLM4, DART, and Snow Radiance Data Assimilation.
Journal of Hydrometeorology, 17, 2853-2874, doi:10.1175/JHM-D-16-0028.1

Skinner P.S., L.J. Wicker, D.M. Wheatley & K.H. Knopfmeier, 2016
Application of Two Spatial Verification Methods to Ensemble Forecasts of Low-Level Rotation.
Weather and Forecasting, 31, 713-735, doi:10.1175/WAF-D-15-0129.1

Yussouf N., J.S. Kain & A.J. Clark, 2016
Short-Term Probabilistic Forecasts of the 31 May 2013 Oklahoma Tornado and Flash Flood Event Using a Continuous-Update-Cycle Storm-Scale Ensemble System.
Weather and Forecasting, 31, 957-983, doi:10.1175/WAF-D-15-0160.1

Chen C.H., C.H. Lin, T. Matsuo, W.H. Chen, I.T. Lee, J.Y. Liu, J.T. Lin & C.T. Hsu, 2016
Ionospheric data assimilation with thermosphere-ionosphere-electrodynamics general circulation model and GPS-TEC during geomagnetic storm conditions.
Journal of Geophysical Research: Space Physics, 121, 5708-5722, doi:10.1002/2015JA021787

Torn R.D., 2016
Evaluation of Atmosphere and Ocean Initial Condition Uncertainty and Stochastic Exchange Coefficients on Ensemble Tropical Cyclone Intensity Forecasts.
Monthly Weather Review, 144, 3487-3506, doi:10.1175/MWR-D-16-0108.1

Poterjoy J., 2016
A Localized Particle Filter for High-Dimensional Nonlinear Systems.
Monthly Weather Review, 144, 59-76, doi:10.1175/MWR-D-15-0163.1

2015

Weisman M.L., R.J. Trapp, G.S. Romine, C. Davis, R. Torn, M. Baldwin, L. Bosart, J. Brown, M. Coniglio, D. Dowell, A.C. Evans, T.J. Galarneau, J. Haggerty, T. Hock, K. Manning, P. Roebber, P. Romashkin, R. Schumacher, C.S. Schwartz, R. Sobash, D. Stensrud & S.B. Trier, 2015
The Mesoscale Predictability Experiment (MPEX).
Bulletin of the American Meteorological Society, 96, 2127-2149, doi:10.1175/BAMS-D-13-00281.1

Newman K.M., C.S. Schwartz, Z. Liu, H. Shao & X. Huang, 2015
Evaluating Forecast Impact of Assimilating Microwave Humidity Sounder (MHS) Radiances with a Regional Ensemble Kalman Filter Data Assimilation System.
Weather and Forecasting, 30, 964-983, doi:10.1175/WAF-D-14-00091.1

Schwartz C.S., Z. Liu & X. Huang, 2015
Sensitivity of Limited-Area Hybrid Variational-Ensemble Analyses and Forecasts to Ensemble Perturbation Resolution.
Monthly Weather Review, 143, 3454-3477, doi:10.1175/MWR-D-14-00259.1

Schwartz C.S., G.S. Romine, M.L. Weisman, R.A. Sobash, K.R. Fossell, K.W. Manning & S.B. Trier, 2015
A Real-Time Convection-Allowing Ensemble Prediction System Initialized by Mesoscale Ensemble Kalman Filter Analyses.
Weather and Forecasting, 30, 1158-1181, doi:10.1175/WAF-D-15-0013.1

Torn R.D. & G.S. Romine, 2015
Sensitivity of Central Oklahoma Convection Forecasts to Upstream Potential Vorticity Anomalies during Two Strongly Forced Cases during MPEX.
Monthly Weather Review, 143, 4064-4087, doi:10.1175/MWR-D-15-0085.1

Schwartz C.S., G.S. Romine, R.A. Sobash, K.R. Fossell & M.L. Weisman, 2015
NCAR’s Experimental Real-Time Convection-Allowing Ensemble Prediction System.
Weather and Forecasting, 30, 1645-1654, doi:10.1175/WAF-D-15-0103.1

Lei L., J.L. Anderson & G.S. Romine, 2015
Empirical Localization Functions for Ensemble Kalman Filter Data Assimilation in Regions with and without Precipitation.
Monthly Weather Review, 143, 3664-3679, doi:10.1175/MWR-D-14-00415.1

Trier S.B., G.S. Romine, D.A. Ahijevych, R.J. Trapp, R.S. Schumacher, M.C. Coniglio & D.J. Stensrud, 2015
Mesoscale Thermodynamic Influences on Convection Initiation near a Surface Dryline in a Convection-Permitting Ensemble.
Monthly Weather Review, 143, 3726-3753, doi:10.1175/MWR-D-15-0133.1

Ha S., J. Berner & C. Snyder, 2015
A Comparison of Model Error Representations in Mesoscale Ensemble Data Assimilation.
Monthly Weather Review, 143, 3893-3911, doi:10.1175/MWR-D-14-00395.1

Bernardet L., V. Tallapragada, S. Bao, S. Trahan, Y. Kwon, Q. Liu, M. Tong, M. Biswas, T. Brown, D. Stark, L. Carson, R. Yablonsky, E. Uhlhorn, S. Gopalakrishnan, X. Zhang, T. Marchok, B. Kuo & R. Gall, 2015
Community Support and Transition of Research to Operations for the Hurricane Weather Research and Forecasting Model.
Bulletin of the American Meteorological Society, 96, 953-960, doi:10.1175/BAMS-D-13-00093.1

Barré J., B. Gaubert, A.F.J. Arellano, H.M. Worden, D.P. Edwards, M.N. Deeter, J.L. Anderson, K. Raeder, N. Collins, S. Tilmes, G. Francis, C. Clerbaux, L.K. Emmons, G.G. Pfister, P. Coheur & D. Hurtmans, 2015
Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART.
Journal of Geophysical Research: Atmospheres, 120, 10,501-10,529, doi:10.1002/2015JD023467

Fernando H.J.S., E.R. Pardyjak, S.D. Sabatino, F.K. Chow, S.F.J.D. Wekker, S.W. Hoch, J. Hacker, J.C. Pace, T. Pratt, Z. Pu, W.J. Steenburgh, C.D. Whiteman, Y. Wang, D. Zajic, B. Balsley, R. Dimitrova, G.D. Emmitt, C.W. Higgins, J.C.R. Hunt, J.C. Knievel, D. Lawrence, Y. Liu, D.F. Nadeau, E. Kit, B.W. Blomquist, P. Conry, R.S. Coppersmith, E. Creegan, M. Felton, A. Grachev, N. Gunawardena, C. Hang, C.M. Hocut, G. Huynh, M.E. Jeglum, D. Jensen, V. Kulandaivelu, M. Lehner, L.S. Leo, D. Liberzon, J.D. Massey, K. McEnerney, S. Pal, T. Price, M. Sghiatti, Z. Silver, M. Thompson, H. Zhang & T. Zsedrovits, 2015
The MATERHORN: Unraveling the Intricacies of Mountain Weather.
Bulletin of the American Meteorological Society, 96, 1945-1967, doi:10.1175/BAMS-D-13-00131.1

Ancell B.C., E. Kashawlic & J.L. Schroeder, 2015
Evaluation of Wind Forecasts and Observation Impacts from Variational and Ensemble Data Assimilation for Wind Energy Applications.
Monthly Weather Review, 143, 3230-3245, doi:10.1175/MWR-D-15-0001.1

Wheatley D.M., K.H. Knopfmeier, T.A. Jones & G.J. Creager, 2015
Storm-Scale Data Assimilation and Ensemble Forecasting with the NSSL Experimental Warn-on-Forecast System. Part I: Radar Data Experiments.
Weather and Forecasting, 30, 1795-1817, doi:10.1175/WAF-D-15-0043.1

Hollan M.A. & B.C. Ancell, 2015
Ensemble Mean Storm-Scale Performance in the Presence of Nonlinearity.
Monthly Weather Review, 143, 5115-5133, doi:10.1175/MWR-D-14-00417.1

Wile S.M., J.P. Hacker & K.H. Chilcoat, 2015
The Potential Utility of High-Resolution Ensemble Sensitivity Analysis for Observation Placement during Weak Flow in Complex Terrain.
Weather and Forecasting, 30, 1521-1536, doi:10.1175/WAF-D-14-00066.1

Kwon Y., A.M. Toure, Z. Yang, M. Rodell & G. Picard, 2015
Error Characterization of Coupled Land Surface-Radiative Transfer Models for Snow Microwave Radiance Assimilation.
IEEE Transactions on Geoscience and Remote Sensing, 53, 5247-5268, doi:10.1109/TGRS.2015.2419977

Brown B.R. & G.J. Hakim, 2015
Sensitivity of intensifying Atlantic hurricanes to vortex structure.
Quarterly Journal of the Royal Meteorological Society, 141, 2538-2551, doi:10.1002/qj.2540

Kerr C.A., D.J. Stensrud & X. Wang, 2015
Assimilation of Cloud-Top Temperature and Radar Observations of an Idealized Splitting Supercell Using an Observing System Simulation Experiment.
Monthly Weather Review, 143, 1018-1034, doi:10.1175/MWR-D-14-00146.1

Viskari T., B. Hardiman, A.R. Desai & M.C. Dietze, 2015
Model-data assimilation of multiple phenological observations to constrain and predict leaf area index.
Ecological Applications, 25, 546-558, doi:10.1890/14-0497.1

Jones T.A. & D.J. Stensrud, 2015
Assimilating Cloud Water Path as a Function of Model Cloud Microphysics in an Idealized Simulation.
Monthly Weather Review, 143, 2052-2081, doi:10.1175/MWR-D-14-00266.1

Wu T., C.S. Velden, S.J. Majumdar, H. Liu & J.L. Anderson, 2015
Understanding the Influence of Assimilating Subsets of Enhanced Atmospheric Motion Vectors on Numerical Analyses and Forecasts of Tropical Cyclone Track and Intensity with an Ensemble Kalman Filter.
Monthly Weather Review, 143, 2506-2531, doi:10.1175/MWR-D-14-00220.1

Karspeck A., S. Yeager, G. Danabasoglu & H. Teng, 2015
An evaluation of experimental decadal predictions using CCSM4.
Climate Dynamics, 44, 907-923, doi:10.1007/s00382-014-2212-7

Sobash R.A. & D.J. Stensrud, 2015
Assimilating Surface Mesonet Observations with the EnKF to Improve Ensemble Forecasts of Convection Initiation on 29 May 2012.
Monthly Weather Review, 143, 3700-3725, doi:10.1175/MWR-D-14-00126.1

Jones T.A., D. Stensrud, L. Wicker, P. Minnis & R. Palikonda, 2015
Simultaneous Radar and Satellite Data Storm-Scale Assimilation Using an Ensemble Kalman Filter Approach for 24 May 2011.
Monthly Weather Review, 143, 165-194, doi:10.1175/MWR-D-14-00180.1

Bednarczyk C.N. & B.C. Ancell, 2015
Ensemble Sensitivity Analysis Applied to a Southern Plains Convective Event.
Monthly Weather Review, 143, 230-249, doi:10.1175/MWR-D-13-00321.1

Yussouf N., D.C. Dowell, L.J. Wicker, K.H. Knopfmeier & D.M. Wheatley, 2015
Storm-Scale Data Assimilation and Ensemble Forecasts for the 27 April 2011 Severe Weather Outbreak in Alabama.
Monthly Weather Review, 143, 3044-3066, doi:10.1175/MWR-D-14-00268.1

2014

Schwartz C.S., G.S. Romine, K.R. Smith & M.L. Weisman, 2014
Characterizing and Optimizing Precipitation Forecasts from a Convection-Permitting Ensemble Initialized by a Mesoscale Ensemble Kalman Filter.
Weather and Forecasting, 29, 1295-1318, doi:10.1175/WAF-D-13-00145.1

Romine G.S., C.S. Schwartz, J. Berner, K.R. Fossell, C. Snyder, J.L. Anderson & M.L. Weisman, 2014
Representing Forecast Error in a Convection-Permitting Ensemble System.
Monthly Weather Review, 142, 4519-4541, doi:10.1175/MWR-D-14-00100.1

Zhang Y., T.J. Hoar, Z. Yang, J.L. Anderson, A.M. Toure & M. Rodell, 2014
Assimilation of MODIS snow cover through the Data Assimilation Research Testbed and the Community Land Model version 4.
Journal of Geophysical Research: Atmospheres, 119, 7091-7103, doi:10.1002/2013JD021329

Pedatella N.M., K. Raeder, J.L. Anderson & H. Liu, 2014
Ensemble data assimilation in the Whole Atmosphere Community Climate Model.
Journal of Geophysical Research: Atmospheres, 119, 9793-9809, doi:10.1002/2014JD021776

Ha S. & C. Snyder, 2014
Influence of Surface Observations in Mesoscale Data Assimilation Using an Ensemble Kalman Filter.
Monthly Weather Review, 142, 1489-1508, doi:10.1175/MWR-D-13-00108.1

Dikpati M., J.L. Anderson & D. Mitra, 2014
Ensemble Kalman filter data assimilation in a Babcock-Leighton solar dynamo model: An observation system simulation experiment for reconstructing meridional flow speed.
Geophysical Research Letters, 41, 5361-5369, doi:10.1002/2014GL061077

Lei L. & J.L. Anderson, 2014
Impacts of Frequent Assimilation of Surface Pressure Observations on Atmospheric Analyses.
Monthly Weather Review, 142, 4477-4483, doi:10.1175/MWR-D-14-00097.1

Wu T., H. Liu, S.J. Majumdar, C.S. Velden & J.L. Anderson, 2014
Influence of Assimilating Satellite-Derived Atmospheric Motion Vector Observations on Numerical Analyses and Forecasts of Tropical Cyclone Track and Intensity.
Monthly Weather Review, 142, 49-71, doi:10.1175/MWR-D-13-00023.1

Marquis J., Y. Richardson, P. Markowski, D. Dowell, J. Wurman, K. Kosiba, P. Robinson & G. Romine, 2014
An Investigation of the Goshen County, Wyoming, Tornadic Supercell of 5 June 2009 Using EnKF Assimilation of Mobile Mesonet and Radar Observations Collected during VORTEX2. Part I: Experiment Design and Verification of the EnKF Analyses.
Monthly Weather Review, 142, 530-554, doi:10.1175/MWR-D-13-00007.1

Rosolem R., T. Hoar, A. Arellano, J.L. Anderson, W.J. Shuttleworth, X. Zeng & T.E. Franz, 2014
Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale.
Hydrology and Earth System Sciences, 18, 4363-4379, doi:10.5194/hess-18-4363-2014

Matsuo T., 2014
Upper Atmosphere Data Assimilation With an Ensemble Kalman Filter,
Modeling the Ionosphere–Thermosphere System.
Huba J., R. Schunk & G. Khazanov, American Geophysical Union (AGU), ISBN: 978-1-118-70441-7

Hsu C., T. Matsuo, W. Wang & J. Liu, 2014
Effects of inferring unobserved thermospheric and ionospheric state variables by using an Ensemble Kalman Filter on global ionospheric specification and forecasting.
Journal of Geophysical Research: Space Physics, 119, 9256-9267, doi:10.1002/2014JA020390

Dhanya M. & A. Chandrasekar, 2014
Improved Rainfall Simulation by Assimilating Oceansat-2 Surface Winds Using Ensemble Kalman Filter for a Heavy Rainfall Event over South India.
IEEE Transactions on Geoscience and Remote Sensing, 52, 7721-7726, doi:10.1109/TGRS.2014.2317501

Kolczynski W.C. & J.P. Hacker, 2014
The Potential for Self-Organizing Maps to Identify Model Error Structures.
Monthly Weather Review, 142, 1688-1696, doi:10.1175/MWR-D-13-00189.1

Rubin J.I. & W.D. Collins, 2014
Global simulations of aerosol amount and size using MODIS observations assimilated with an Ensemble Kalman Filter.
Journal of Geophysical Research: Atmospheres, 119, 12,780-12,806, doi:10.1002/2014JD021627

Lei L. & J.L. Anderson, 2014
Empirical Localization of Observations for Serial Ensemble Kalman Filter Data Assimilation in an Atmospheric General Circulation Model.
Monthly Weather Review, 142, 1835-1851, doi:10.1175/MWR-D-13-00288.1

Majumdar S.J. & R.D. Torn, 2014
Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis.
Weather and Forecasting, 29, 1181-1198, doi:10.1175/WAF-D-14-00028.1

Zhang H. & Z. Pu, 2014
Influence of Assimilating Surface Observations on Numerical Prediction of Landfalls of Hurricane Katrina (2005) with an Ensemble Kalman Filter.
Monthly Weather Review, 142, 2915-2934, doi:10.1175/MWR-D-14-00014.1

Torn R.D., 2014
The Impact of Targeted Dropwindsonde Observations on Tropical Cyclone Intensity Forecasts of Four Weak Systems during PREDICT.
Monthly Weather Review, 142, 2860-2878, doi:10.1175/MWR-D-13-00284.1

Lei L. & J.L. Anderson, 2014
Comparisons of Empirical Localization Techniques for Serial Ensemble Kalman Filters in a Simple Atmospheric General Circulation Model.
Monthly Weather Review, 142, 739-754, doi:10.1175/MWR-D-13-00152.1

Jones T.A., J.A. Otkin, D.J. Stensrud & K. Knopfmeier, 2014
Forecast Evaluation of an Observing System Simulation Experiment Assimilating Both Radar and Satellite Data.
Monthly Weather Review, 142, 107-124, doi:10.1175/MWR-D-13-00151.1

Madaus L.E., G.J. Hakim & C.F. Mass, 2014
Utility of Dense Pressure Observations for Improving Mesoscale Analyses and Forecasts.
Monthly Weather Review, 142, 2398-2413, doi:10.1175/MWR-D-13-00269.1

Schumacher R.S. & A.J. Clark, 2014
Evaluation of Ensemble Configurations for the Analysis and Prediction of Heavy-Rain-Producing Mesoscale Convective Systems.
Monthly Weather Review, 142, 4108-4138, doi:10.1175/MWR-D-13-00357.1

Wheatley D.M., N. Yussouf & D.J. Stensrud, 2014
Ensemble Kalman Filter Analyses and Forecasts of a Severe Mesoscale Convective System Using Different Choices of Microphysics Schemes.
Monthly Weather Review, 142, 3243-3263, doi:10.1175/MWR-D-13-00260.1

Mass C.F. & L.E. Madaus, 2014
Surface Pressure Observations from Smartphones: A Potential Revolution for High-Resolution Weather Prediction?
Bulletin of the American Meteorological Society, 95, 1343-1349, doi:10.1175/BAMS-D-13-00188.1

2013

Hoteit I., T. Hoar, G. Gopalakrishnan, N. Collins, J. Anderson, B. Cornuelle, A. Köhl & P. Heimbach, 2013
A MITgcm/DART ensemble analysis and prediction system with application to the Gulf of Mexico.
Dynamics of Atmospheres and Oceans, 63, 1-23, doi:10.1016/j.dynatmoce.2013.03.002

Schwartz C.S., Z. Liu, X. Huang, Y. Kuo & C. Fong, 2013
Comparing Limited-Area 3DVAR and Hybrid Variational-Ensemble Data Assimilation Methods for Typhoon Track Forecasts: Sensitivity to Outer Loops and Vortex Relocation.
Monthly Weather Review, 141, 4350-4372, doi:10.1175/MWR-D-13-00028.1

Romine G.S., C.S. Schwartz, C. Snyder, J.L. Anderson & M.L. Weisman, 2013
Model Bias in a Continuously Cycled Assimilation System and Its Influence on Convection-Permitting Forecasts.
Monthly Weather Review, 141, 1263-1284, doi:10.1175/MWR-D-12-00112.1

Williams III J.L., R.M. Maxwell & L.D. Monache, 2013
Development and verification of a new wind speed forecasting system using an ensemble Kalman filter data assimilation technique in a fully coupled hydrologic and atmospheric model.
Journal of Advances in Modeling Earth Systems, 5, 785-800, doi:10.1002/jame.20051

Morozov A.V., A.J. Ridley, D.S. Bernstein, N. Collins, T.J. Hoar & J.L. Anderson, 2013
Data assimilation and driver estimation for the Global Ionosphere–Thermosphere Model using the Ensemble Adjustment Kalman Filter.
Journal of Atmospheric and Solar-Terrestrial Physics, 104, 126-136, doi:10.1016/j.jastp.2013.08.016

Rostkier-Edelstein D. & J.P. Hacker, 2013
Impact of Flow Dependence, Column Covariance, and Forecast Model Type on Surface-Observation Assimilation for Probabilistic PBL Profile Nowcasts.
Weather and Forecasting, 28, 29-54, doi:10.1175/WAF-D-12-00043.1

Hacker J.P. & W.M. Angevine, 2013
Ensemble Data Assimilation to Characterize Surface-Layer Errors in Numerical Weather Prediction Models.
Monthly Weather Review, 141, 1804-1821, doi:10.1175/MWR-D-12-00280.1

Pu Z., H. Zhang & J. Anderson, 2013
Ensemble Kalman filter assimilation of near-surface observations over complex terrain: comparison with 3DVAR for short-range forecasts.
Tellus A: Dynamic Meteorology and Oceanography, 65, 19620, doi:10.3402/tellusa.v65i0.19620

Lee I.T., H.F. Tsai, J.Y. Liu, C.H. Lin, T. Matsuo & L.C. Chang, 2013
Modeling impact of FORMOSAT-7/COSMIC-2 mission on ionospheric space weather monitoring.
Journal of Geophysical Research: Space Physics, 118, 6518-6523, doi:10.1002/jgra.50538

Matsuo T., I. Lee & J.L. Anderson, 2013
Thermospheric mass density specification using an ensemble Kalman filter.
Journal of Geophysical Research: Space Physics, 118, 1339-1350, doi:10.1002/jgra.50162

Hodyss D. & A. Reinecke, 2013
Skewness of the Prior Through Position Errors and Its Impact on Data Assimilation,
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II).
Park S.K. & L. Xu, Springer, ISBN: 978-3-642-35088-7

Nadiga B.T., W.R. Casper & P.W. Jones, 2013
Ensemble-based global ocean data assimilation.
Ocean Modelling, 72, 210-230, doi:10.1016/j.ocemod.2013.09.002

Knopfmeier K.H. & D.J. Stensrud, 2013
Influence of Mesonet Observations on the Accuracy of Surface Analyses Generated by an Ensemble Kalman Filter.
Weather and Forecasting, 28, 815-841, doi:10.1175/WAF-D-12-00078.1

Žagar N., L. Isaksen, D. Tan & J. Tribbia, 2013
Balance properties of the short-range forecast errors in the ECMWF 4D-Var ensemble.
Quarterly Journal of the Royal Meteorological Society, 139, 1229-1238, doi:10.1002/qj.2033

Hakkarainen J., A. Solonen, A. Ilin, J. Susiluoto, M. Laine, H. Haario & H. Järvinen, 2013
A dilemma of the uniqueness of weather and climate model closure parameters.
Tellus A: Dynamic Meteorology and Oceanography, 65, 20147, doi:10.3402/tellusa.v65i0.20147

Pedatella N.M., K. Raeder, J.L. Anderson & H. Liu, 2013
Application of data assimilation in the Whole Atmosphere Community Climate Model to the study of day-to-day variability in the middle and upper atmosphere.
Geophysical Research Letters, 40, 4469-4474, doi:10.1002/grl.50884

Khade V.M., J.A. Hansen, J.S. Reid & D.L. Westphal, 2013
Ensemble filter based estimation of spatially distributed parameters in a mesoscale dust model: experiments with simulated and real data.
Atmospheric Chemistry and Physics, 13, 3481-3500, doi:10.5194/acp-13-3481-2013

Yussouf N., J. Gao, D.J. Stensrud & G. Ge, 2013
The Impact of Mesoscale Environmental Uncertainty on the Prediction of a Tornadic Supercell Storm Using Ensemble Data Assimilation Approach.
Advances in Meteorology, 2013, e731647, doi:10.1155/2013/731647

Torn R.D. & D. Cook, 2013
The Role of Vortex and Environment Errors in Genesis Forecasts of Hurricanes Danielle and Karl (2010).
Monthly Weather Review, 141, 232-251, doi:10.1175/MWR-D-12-00086.1

Jones T.A., J.A. Otkin, D.J. Stensrud & K. Knopfmeier, 2013
Assimilation of Satellite Infrared Radiances and Doppler Radar Observations during a Cool Season Observing System Simulation Experiment.
Monthly Weather Review, 141, 3273-3299, doi:10.1175/MWR-D-12-00267.1

Jones T.A., D.J. Stensrud, P. Minnis & R. Palikonda, 2013
Evaluation of a Forward Operator to Assimilate Cloud Water Path into WRF-DART.
Monthly Weather Review, 141, 2272-2289, doi:10.1175/MWR-D-12-00238.1

Chang E.K.M., M. Zheng & K. Raeder, 2013
Medium-Range Ensemble Sensitivity Analysis of Two Extreme Pacific Extratropical Cyclones.
Monthly Weather Review, 141, 211-231, doi:10.1175/MWR-D-11-00304.1

Cavallo S.M., R.D. Torn, C. Snyder, C. Davis, W. Wang & J. Done, 2013
Evaluation of the Advanced Hurricane WRF Data Assimilation System for the 2009 Atlantic Hurricane Season.
Monthly Weather Review, 141, 523-541, doi:10.1175/MWR-D-12-00139.1

Fang X. & Y. Kuo, 2013
Improving Ensemble-Based Quantitative Precipitation Forecasts for Topography-Enhanced Typhoon Heavy Rainfall over Taiwan with a Modified Probability-Matching Technique.
Monthly Weather Review, 141, 3908-3932, doi:10.1175/MWR-D-13-00012.1

Karspeck A.R., S. Yeager, G. Danabasoglu, T. Hoar, N. Collins, K. Raeder, J. Anderson & J. Tribbia, 2013
An Ensemble Adjustment Kalman Filter for the CCSM4 Ocean Component.
Journal of Climate, 26, 7392-7413, doi:10.1175/JCLI-D-12-00402.1

Schirber S., D. Klocke, R. Pincus, J. Quaas & J.L. Anderson, 2013
Parameter estimation using data assimilation in an atmospheric general circulation model: From a perfect toward the real world.
Journal of Advances in Modeling Earth Systems, 5, 58-70, doi:10.1029/2012MS000167

Shuttleworth J., R. Rosolem, M. Zreda & T. Franz, 2013
The COsmic-ray Soil Moisture Interaction Code (COSMIC) for use in data assimilation.
Hydrology and Earth System Sciences, 17, 3205-3217, doi:10.5194/hess-17-3205-2013

Anderson J. & L. Lei, 2013
Empirical Localization of Observation Impact in Ensemble Kalman Filters.
Monthly Weather Review, 141, 4140-4153, doi:10.1175/MWR-D-12-00330.1

Yussouf N., E.R. Mansell, L.J. Wicker, D.M. Wheatley & D.J. Stensrud, 2013
The Ensemble Kalman Filter Analyses and Forecasts of the 8 May 2003 Oklahoma City Tornadic Supercell Storm Using Single- and Double-Moment Microphysics Schemes.
Monthly Weather Review, 141, 3388-3412, doi:10.1175/MWR-D-12-00237.1

Stensrud D.J., L.J. Wicker, M. Xue, D.T. Dawson, N. Yussouf, D.M. Wheatley, T.E. Thompson, N.A. Snook, T.M. Smith, A.D. Schenkman, C.K. Potvin, E.R. Mansell, T. Lei, K.M. Kuhlman, Y. Jung, T.A. Jones, J. Gao, M.C. Coniglio, H.E. Brooks & K.A. Brewster, 2013
Progress and challenges with Warn-on-Forecast.
Atmospheric Research, 123, 2-16, doi:10.1016/j.atmosres.2012.04.004

2012

Anderson J.L., 2012
Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation.
Monthly Weather Review, 140, 2359-2371, doi:10.1175/MWR-D-11-00013.1

Lauritzen P.H., A.A. Mirin, J. Truesdale, K. Raeder, J.L. Anderson, J. Bacmeister & R.B. Neale, 2012
Implementation of new diffusion/filtering operators in the CAM-FV dynamical core.
The International Journal of High Performance Computing Applications, 26, 63-73, doi:10.1177/1094342011410088

Otkin J.A., 2012
Assessing the Impact of the Covariance Localization Radius when Assimilating Infrared Brightness Temperature Observations Using an Ensemble Kalman Filter.
Monthly Weather Review, 140, 543-561, doi:10.1175/MWR-D-11-00084.1

Pendergrass A.G., G.J. Hakim, D.S. Battisti & G. Roe, 2012
Coupled Air–Mixed Layer Temperature Predictability for Climate Reconstruction.
Journal of Climate, 25, 459-472, doi:10.1175/2011JCLI4094.1

Schwartz C.S., Z. Liu, Y. Chen & X. Huang, 2012
Impact of Assimilating Microwave Radiances with a Limited-Area Ensemble Data Assimilation System on Forecasts of Typhoon Morakot.
Weather and Forecasting, 27, 424-437, doi:10.1175/WAF-D-11-00033.1

Liu Z., C.S. Schwartz, C. Snyder & S. Ha, 2012
Impact of Assimilating AMSU-A Radiances on Forecasts of 2008 Atlantic Tropical Cyclones Initialized with a Limited-Area Ensemble Kalman Filter.
Monthly Weather Review, 140, 4017-4034, doi:10.1175/MWR-D-12-00083.1

Lei L., D.R. Stauffer & A. Deng, 2012
A hybrid nudging-ensemble Kalman filter approach to data assimilation in WRF/DART.
Quarterly Journal of the Royal Meteorological Society, 138, 2066-2078, doi:10.1002/qj.1939

Lee I.T., T. Matsuo, A.D. Richmond, J.Y. Liu, W. Wang, C.H. Lin, J.L. Anderson & M.Q. Chen, 2012
Assimilation of FORMOSAT-3/COSMIC electron density profiles into a coupled thermosphere/ionosphere model using ensemble Kalman filtering.
Journal of Geophysical Research: Space Physics, 117, doi:10.1029/2012JA017700

Dikpati M. & J.L. Anderson, 2012
Evaluating Potential for Data Assimilation in a Flux-Transport Dynamo Model by Assessing Sensitivity and Response to Meridional Flow Variation.
The Astrophysical Journal, 756, 20, doi:10.1088/0004-637X/756/1/20

Raeder K., J.L. Anderson, N. Collins, T.J. Hoar, J.E. Kay, P.H. Lauritzen & R. Pincus, 2012
DART/CAM: An Ensemble Data Assimilation System for CESM Atmospheric Models.
Journal of Climate, 25, 6304-6317, doi:10.1175/JCLI-D-11-00395.1

Doyle J.D., Y. Jin, R.M. Hodur, S. Chen, H. Jin, J. Moskaitis, A. Reinecke, P. Black, J. Cummings, E. Hendricks, T. Holt, C. Liou, M. Peng, C. Reynolds, K. Sashegyi, J. Schmidt & S. Wang, 2012
Real-Time Tropical Cyclone Prediction using COAMPS-TC,
Advances in Geosciences.
Wu C. & J. Gan, World Scientific Publishing Company, ISBN: 978-981-4405-67-6

Wheatley D.M., D.J. Stensrud, D.C. Dowell & N. Yussouf, 2012
Application of a WRF Mesoscale Data Assimilation System to Springtime Severe Weather Events 2007–09.
Monthly Weather Review, 140, 1539-1557, doi:10.1175/MWR-D-11-00106.1

Jones T.A. & D.J. Stensrud, 2012
Assimilating AIRS Temperature and Mixing Ratio Profiles Using an Ensemble Kalman Filter Approach for Convective-Scale Forecasts.
Weather and Forecasting, 27, 541-564, doi:10.1175/WAF-D-11-00090.1

Liu H., J. Anderson & Y. Kuo, 2012
Improved Analyses and Forecasts of Hurricane Ernesto’s Genesis Using Radio Occultation Data in an Ensemble Filter Assimilation System.
Monthly Weather Review, 140, 151-166, doi:10.1175/MWR-D-11-00024.1

Torn R.D. & C.A. Davis, 2012
The Influence of Shallow Convection on Tropical Cyclone Track Forecasts.
Monthly Weather Review, 140, 2188-2197, doi:10.1175/MWR-D-11-00246.1

Marquis J., Y. Richardson, P. Markowski, D. Dowell & J. Wurman, 2012
Tornado Maintenance Investigated with High-Resolution Dual-Doppler and EnKF Analysis.
Monthly Weather Review, 140, 3-27, doi:10.1175/MWR-D-11-00025.1

Otkin J.A., 2012
Assimilation of water vapor sensitive infrared brightness temperature observations during a high impact weather event.
Journal of Geophysical Research: Atmospheres, 117, doi:10.1029/2012JD017568

2011

Davis C., W. Wang, S. Cavallo, J. Done, J. Dudhia, S. Fredrick, J. Michalakes, G. Caldwell, T. Engel & R. Torn, 2011
High-Resolution Hurricane Forecasts.
Computing in Science & Engineering, 13, 22-30, doi:10.1109/MCSE.2010.74

Rostkier-Edelstein D. & J.P. Hacker, 2011
Experience and Conclusions from the Factor Separation Method: Ensemble Data Assimilation and Forecasting Applications,
The Factor Separation Method in the Atmosphere - Applications and Future Prospects.
Alpert P. & T. Sholokhman, Cambridge University Press, ISBN: 978-0-521-19173-9

Pincus R., R.J.P. Hofmann, J.L. Anderson, K. Raeder, N. Collins & J.S. Whitaker, 2011
Can Fully Accounting for Clouds in Data Assimilation Improve Short-Term Forecasts by Global Models?
Monthly Weather Review, 139, 946-957, doi:10.1175/2010MWR3412.1

Kay J.E., K. Raeder, A. Gettelman & J. Anderson, 2011
The Boundary Layer Response to Recent Arctic Sea Ice Loss and Implications for High-Latitude Climate Feedbacks.
Journal of Climate, 24, 428-447, doi:10.1175/2010JCLI3651.1

Hartung D.C., J.A. Otkin, R.A. Petersen, D.D. Turner & W.F. Feltz, 2011
Assimilation of Surface-Based Boundary Layer Profiler Observations during a Cool-Season Weather Event Using an Observing System Simulation Experiment. Part II: Forecast Assessment.
Monthly Weather Review, 139, 2327-2346, doi:10.1175/2011MWR3623.1

Otkin J.A., D.C. Hartung, D.D. Turner, R.A. Petersen, W.F. Feltz & E. Janzon, 2011
Assimilation of Surface-Based Boundary Layer Profiler Observations during a Cool-Season Weather Event Using an Observing System Simulation Experiment. Part I: Analysis Impact.
Monthly Weather Review, 139, 2309-2326, doi:10.1175/2011MWR3622.1

Lee C., W.G. Lawson, M.I. Richardson, J.L. Anderson, N. Collins, T. Hoar & M. Mischna, 2011
Demonstration of ensemble data assimilation for Mars using DART, MarsWRF, and radiance observations from MGS TES.
Journal of Geophysical Research: Planets, 116, doi:10.1029/2011JE003815

Žagar N., J. Tribbia, J.L. Anderson & K. Raeder, 2011
Balance of the Background-Error Variances in the Ensemble Assimilation System DART/CAM.
Monthly Weather Review, 139, 2061-2079, doi:10.1175/2011MWR3477.1

Matsuo T. & E.A. Araujo-Pradere, 2011
Role of thermosphere-ionosphere coupling in a global ionospheric specification.
Radio Science, 46, doi:10.1029/2010RS004576

Michel Y., T. Auligné & T. Montmerle, 2011
Heterogeneous Convective-Scale Background Error Covariances with the Inclusion of Hydrometeor Variables.
Monthly Weather Review, 139, 2994-3015, doi:10.1175/2011MWR3632.1

2010

Aksoy A., D.C. Dowell & C. Snyder, 2010
A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part II: Short-Range Ensemble Forecasts.
Monthly Weather Review, 138, 1273-1292, doi:10.1175/2009MWR3086.1

Žagar N., J. Tribbia, J.L. Anderson, K. Raeder & D.T. Kleist, 2010
Diagnosis of systematic analysis increments by using normal modes.
Quarterly Journal of the Royal Meteorological Society, 136, 61-76, doi:10.1002/qj.533

Rostkier-Edelstein D. & J.P. Hacker, 2010
The Roles of Surface-Observation Ensemble Assimilation and Model Complexity for Nowcasting of PBL Profiles: A Factor Separation Analysis.
Weather and Forecasting, 25, 1670-1690, doi:10.1175/2010WAF2222435.1

Torn R.D., 2010
Performance of a Mesoscale Ensemble Kalman Filter (EnKF) during the NOAA High-Resolution Hurricane Test.
Monthly Weather Review, 138, 4375-4392, doi:10.1175/2010MWR3361.1

Torn R.D., 2010
Ensemble-Based Sensitivity Analysis Applied to African Easterly Waves.
Weather and Forecasting, 25, 61-78, doi:10.1175/2009WAF2222255.1

Otkin J.A., 2010
Clear and cloudy sky infrared brightness temperature assimilation using an ensemble Kalman filter.
Journal of Geophysical Research: Atmospheres, 115, doi:10.1029/2009JD013759

Davis C., W. Wang, J. Dudhia & R. Torn, 2010
Does Increased Horizontal Resolution Improve Hurricane Wind Forecasts?
Weather and Forecasting, 25, 1826-1841, doi:10.1175/2010WAF2222423.1

Arellano Jr. A.F., P.G. Hess, D.P. Edwards & D. Baumgardner, 2010
Constraints on black carbon aerosol distribution from Measurement of Pollution in the Troposphere (MOPITT) CO.
Geophysical Research Letters, 37, doi:10.1029/2010GL044416

Anderson J.L., 2010
A Non-Gaussian Ensemble Filter Update for Data Assimilation.
Monthly Weather Review, 138, 4186-4198, doi:10.1175/2010MWR3253.1

2009

Anderson J.L., 2009
Ensemble Kalman filters for large geophysical applications.
IEEE Control Systems Magazine, 29, 66-82, doi:10.1109/MCS.2009.932222

Anderson J., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn & A. Avellano, 2009
The Data Assimilation Research Testbed: A Community Facility.
Bulletin of the American Meteorological Society, 90, 1283-1296, doi:10.1175/2009BAMS2618.1

Žagar N., J. Tribbia, J.L. Anderson & K. Raeder, 2009
Uncertainties of Estimates of Inertia–Gravity Energy in the Atmosphere. Part I: Intercomparison of Four Analysis Systems.
Monthly Weather Review, 137, 3837-3857, doi:10.1175/2009MWR2815.1

Žagar N., J. Tribbia, J.L. Anderson & K. Raeder, 2009
Uncertainties of Estimates of Inertia–Gravity Energy in the Atmosphere. Part II: Large-Scale Equatorial Waves.
Monthly Weather Review, 137, 3858-3873, doi:10.1175/2009MWR2816.1

Thomas S.J., J.P. Hacker & J.L. Anderson, 2009
A robust formulation of the ensemble Kalman filter.
Quarterly Journal of the Royal Meteorological Society, 135, 507-521, doi:10.1002/qj.372

Hamill T.M., J.S. Whitaker, J.L. Anderson & C. Snyder, 2009
Comments on “Sigma-Point Kalman Filter Data Assimilation Methods for Strongly Nonlinear Systems”.
Journal of the Atmospheric Sciences, 66, 3498-3500, doi:10.1175/2009JAS3245.1

Edwards D.P., A.F. Arellano Jr. & M.N. Deeter, 2009
A satellite observation system simulation experiment for carbon monoxide in the lowermost troposphere.
Journal of Geophysical Research: Atmospheres, 114, doi:10.1029/2008JD011375

Aksoy A., D.C. Dowell & C. Snyder, 2009
A Multicase Comparative Assessment of the Ensemble Kalman Filter for Assimilation of Radar Observations. Part I: Storm-Scale Analyses.
Monthly Weather Review, 137, 1805-1824, doi:10.1175/2008MWR2691.1

Anderson J.L., 2009
Spatially and temporally varying adaptive covariance inflation for ensemble filters.
Tellus A, 61, 72-83, doi:10.1111/j.1600-0870.2008.00361.x

2008

Torn R.D. & G.J. Hakim, 2008
Ensemble-Based Sensitivity Analysis.
Monthly Weather Review, 136, 663-677, doi:10.1175/2007MWR2132.1

Khare S.P., J.L. Anderson, T.J. Hoar & D. Nychka, 2008
An investigation into the application of an ensemble Kalman smoother to high-dimensional geophysical systems.
Tellus A, 60, 97-112, doi:10.1111/j.1600-0870.2007.00281.x

Liu H., J. Anderson, Y. Kuo, C. Snyder & A. Caya, 2008
Evaluation of a Nonlocal Quasi-Phase Observation Operator in Assimilation of CHAMP Radio Occultation Refractivity with WRF.
Monthly Weather Review, 136, 242-256, doi:10.1175/2007MWR2042.1

Zubrow A., L. Chen & V.R. Kotamarthi, 2008
EAKF-CMAQ: Introduction and evaluation of a data assimilation for CMAQ based on the ensemble adjustment Kalman filter.
Journal of Geophysical Research: Atmospheres, 113, doi:10.1029/2007JD009267

Snyder C., T. Bengtsson, P. Bickel & J. Anderson, 2008
Obstacles to High-Dimensional Particle Filtering.
Monthly Weather Review, 136, 4629-4640, doi:10.1175/2008MWR2529.1

Anthes R.A., P.A. Bernhardt, Y. Chen, L. Cucurull, K.F. Dymond, D. Ector, S.B. Healy, S. Ho, D.C. Hunt, Y. Kuo, H. Liu, K. Manning, C. McCormick, T.K. Meehan, W.J. Randel, C. Rocken, W.S. Schreiner, S.V. Sokolovskiy, S. Syndergaard, D.C. Thompson, K.E. Trenberth, T. Wee, N.L. Yen & Z. Zeng, 2008
The COSMIC/FORMOSAT-3 Mission: Early Results.
Bulletin of the American Meteorological Society, 89, 313-334, doi:10.1175/BAMS-89-3-313

2007

Anderson J.L., 2007
Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter.
Physica D: Nonlinear Phenomena, 230, 99-111, doi:10.1016/j.physd.2006.02.011

Anderson J.L. & N. Collins, 2007
Scalable Implementations of Ensemble Filter Algorithms for Data Assimilation.
Journal of Atmospheric and Oceanic Technology, 24, 1452-1463, doi:10.1175/JTECH2049.1

Chen Y. & C. Snyder, 2007
Assimilating Vortex Position with an Ensemble Kalman Filter.
Monthly Weather Review, 135, 1828-1845, doi:10.1175/MWR3351.1

Karspeck A.R. & J.L. Anderson, 2007
Experimental Implementation of an Ensemble Adjustment Filter for an Intermediate ENSO Model.
Journal of Climate, 20, 4638-4658, doi:10.1175/JCLI4245.1

Hacker J.P. & D. Rostkier-Edelstein, 2007
PBL State Estimation with Surface Observations, a Column Model, and an Ensemble Filter.
Monthly Weather Review, 135, 2958-2972, doi:10.1175/MWR3443.1

Hacker J.P., J.L. Anderson & M. Pagowski, 2007
Improved Vertical Covariance Estimates for Ensemble-Filter Assimilation of Near-Surface Observations.
Monthly Weather Review, 135, 1021-1036, doi:10.1175/MWR3333.1

Arellano Jr A.F., K. Raeder, J.L. Anderson, P.G. Hess, L.K. Emmons, D.P. Edwards, G.G. Pfister, T.L. Campos & G.W. Sachse, 2007
Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission.
Atmospheric Chemistry and Physics, 7, 5695-5710, doi:10.5194/acp-7-5695-2007

Anderson J.L., 2007
An adaptive covariance inflation error correction algorithm for ensemble filters.
Tellus A: Dynamic Meteorology and Oceanography, 59, 210-224, doi:10.1111/j.1600-0870.2006.00216.x

2006

Aksoy A., F. Zhang & J.W. Nielsen-Gammon, 2006
Ensemble-Based Simultaneous State and Parameter Estimation in a Two-Dimensional Sea-Breeze Model.
Monthly Weather Review, 134, 2951-2970, doi:10.1175/MWR3224.1

Aksoy A., F. Zhang & J.W. Nielsen-Gammon, 2006
Ensemble-based simultaneous state and parameter estimation with MM5.
Geophysical Research Letters, 33, doi:10.1029/2006GL026186

2005

Anderson J.L., B. Wyman, S. Zhang & T. Hoar, 2005
Assimilation of Surface Pressure Observations Using an Ensemble Filter in an Idealized Global Atmospheric Prediction System.
Journal of the Atmospheric Sciences, 62, 2925-2938, doi:10.1175/JAS3510.1

BD … Before DART

Tribbia J.J. & D.P. Baumhefner, 2004
Scale Interactions and Atmospheric Predictability: An Updated Perspective.
Monthly Weather Review, 132, 703-713, doi:10.1175/1520-0493(2004)132<0703:SIAAPA>2.0.CO;2

Zhang F., C. Snyder & J. Sun, 2004
Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter.
Monthly Weather Review, 132, 1238-1253, doi:10.1175/1520-0493(2004)132<1238:IOIEAO>2.0.CO;2

Anderson J.L., 2003
A Local Least Squares Framework for Ensemble Filtering.
Monthly Weather Review, 131, 634-642, doi:10.1175/1520-0493(2003)131<0634:ALLSFF>2.0.CO;2

Snyder C. & F. Zhang, 2003
Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter.
Monthly Weather Review, 131, 1663-1677, doi:10.1175//2555.1

Zhang S. & J.L. Anderson, 2003
Impact of spatially and temporally varying estimates of error covariance on assimilation in a simple atmospheric model.
Tellus A, 55, 126-147, doi:10.1034/j.1600-0870.2003.00010.x

Tippett M.K., J.L. Anderson, C.H. Bishop, T.M. Hamill & J.S. Whitaker, 2003
Ensemble Square Root Filters.
Monthly Weather Review, 131, 1485-1490, doi:10.1175/1520-0493(2003)131<1485:ESRF>2.0.CO;2

Bengtsson T., C. Snyder & D. Nychka, 2003
Toward a nonlinear ensemble filter for high-dimensional systems.
Journal of Geophysical Research: Atmospheres, 108, doi:10.1029/2002JD002900

Anderson J.L., 2001
An Ensemble Adjustment Kalman Filter for Data Assimilation.
Monthly Weather Review, 129, 2884-2903, doi:10.1175/1520-0493(2001)129<2884:AEAKFF>2.0.CO;2