DART: Tools and Support for Ensemble Data Assimilation Research, Operations, and Education

Tuesday, 16 December 2014
Jeffrey L Anderson1, Timothy J Hoar2, Nancy Collins3, Kevin Raeder3, Helen Kershaw3, Glen S Romine4, Arthur P Mizzi5, Abhishek Chatterjee6, Alicia R Karspeck3, Colin M. Zarzycki6, So-Young Ha3, Jerome Barre6 and Benjamin Gaubert6, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)Natl Ctr Atmospheric Res, Boulder, CO, United States, (3)NCAR, Boulder, CO, United States, (4)NCAR/MMMM, Boulder, CO, United States, (5)NCAR/MMM/FL2, Boulder, CO, United States, (6)National Center for Atmospheric Research, Boulder, CO, United States
The Data Assimilation Research Testbed (DART) is a community facility for ensemble data assimilation developed and supported by the National Center for Atmospheric Research. DART provides a comprehensive suite of software, documentation, examples and tutorials that can be used for ensemble data assimilation research, operations, and education. Scientists and software engineers from the Data Assimilation Research Section at NCAR are available to actively support DART users who want to use existing DART products or develop their own new applications. Current DART users range from university professors teaching data assimilation, to individual graduate students working with simple models, through national laboratories doing operational prediction with large state-of-the-art models. DART runs efficiently on many computational platforms ranging from laptops through thousands of cores on the newest supercomputers.

This poster focuses on several recent research activities using DART with geophysical models. First, DART is being used with the Community Atmosphere Model Spectral Element (CAM-SE) and Model for Prediction Across Scales (MPAS) global atmospheric models that support locally enhanced grid resolution. Initial results from ensemble assimilation with both models are presented. DART is also being used to produce ensemble analyses of atmospheric tracers, in particular CO, in both the global CAM-Chem model and the regional Weather Research and Forecast with chemistry (WRF-Chem) model by assimilating observations from the Measurements of Pollution in the Troposphere (MOPITT) and Infrared Atmospheric Sounding Interferometer (IASI) instruments. Results from ensemble analyses in both models are presented. An interface between DART and the Community Atmosphere Biosphere Land Exchange (CABLE) model has been completed and ensemble land surface analyses with DART/CABLE will be discussed. Finally, an update on ensemble analyses in the fully-coupled Community Earth System (CESM) is presented. The poster includes instructions on how to get started using DART for research or educational applications.