DART_LAB is a MATLAB®-based tutorial to demonstrate the principles of ensemble data assimilation. This tutorial begins at a more introductory level than the materials in the tutorial directory, and includes hands-on exercises at several points. In a workshop setting, these materials and exercises took about 1.5 days to complete.
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The DART Tutorial is intended to aid in the understanding of ensemble data assimilation theory and consists of step-by-step concepts and companion exercises with DART.
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The WRF-DART tutorial steps through a WRF-DART experiment. The experiment covers the continental United States and uses a 50 member ensemble initialized from NCEP’s Global Forecast System (GFS) initial conditions at 2017/04/27 00:00 UTC. The data included in the tutorial covers up to 2017/04/30 18:00 UTC. During this period, there was a strong rain and wind event that affected a large portion of the United States, causing record rains, localized flooding, and numerous tornadoes. For more information on the physical account of this case, see weather.gov.
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The CLM5-DART tutorial provides a detailed description of the download, setup, executation and diagnostic steps required for a simple global assimilation run using CLM5. It is intended to be performed after the completion of the more general DART tutorial which covers the fundamental concepts of the Ensemble Kalman Filter used within DART. This tutorial provides fundamental concepts unique to a CLM assimilation, and offers some guidance to set up a custom CLM assimilation to suite the user’s own research needs.
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