Data Assimilation

Providing state-of-the-art data assimilation capabilities to both operational and research communities

The goal of the Data Assimilation Team (DAT) is to provide a pathway between the data assimilation research and operational communities and, therefore, help accelerate transitions from research to operations. Working closely with research and operational centers [e.g., National Oceanic and Atmospheric Administration (NOAA), National Centers for Environmental Prediction (NCEP), National Aeronautics and Space Administration (NASA)], the DAT builds and maintains a code management framework for distributed development of new capabilities and advances in data assimilation. Under the same code management plan applied to both the operational and research communities, the DAT provides operational data assimilation capabilities to the research community in a timely manner, with complete user support and annual training opportunities. By setting up a functionally similar operational environment, the DAT conducts testing and evaluation of state-of-the-art data assimilation techniques and, therefore, provides a rational basis for enhancement of data assimilation techniques and systems; and, eventually, improvement of numerical weather forecasts and analyses. 

The current scope of the Data Assimilation Team includes:

  • Data assimilation system maintenance and community support
  • Data assimilation technique testing and evaluation (e.g., variational, ensemble, hybrid)
  • Observation impact study (e.g., ozone, radiance, radar, …)
  • Data assimilation system setup and tuning (e.g., observation and background error estimation and tuning, model top)
  • NWP system sensitivity study (cycling vs cold-start, frequency, resolution, ...)
  • Data assimilation technique development (e.g., cloudy radiance)
  • Data assimilation based validation and quality control

Representative Projects

  • DTC Data Assimilation Testing and evaluation of state-of-the-art data assimilation techniques.
  • Four-dimensional (4D) EnVar Data Assimilation for Regional Applications Building 4D EnVar capability and support for ensemble-based (including hybrid) data assimilation for regional applications.
  • Testing and Evaluation for Supporting Operational Data Assimilation Implementation

Search through all publications in NCAR's OpenSky Library.

Shao, H., M. Hu, C. Zhou, K. Newman, M. K. Biswas, D. Stark, L. Bernardet, M. Tong, and J. Derber. DTC GSI Data Assimilation System Community Support and Testing Activities: 2013 Annual Update. 14th WRF Users Workshop, Boulder, CO, June 24-28

Newman, K., M. Hu, and H. Shao: GSI Background Error Sensitivity for AFWA Pre-operational Implementation Testing. 14th WRF Users Workshop, Boulder, CO, June 24-28 

Zhou, C., H. Shao, L. Bernardet: Testing and Evaluation of the GSI-Hybrid Data Assimilation and its Applications for Hurricane Forecasts. 14th WRF Users Workshop, Boulder, CO, June 24-28

Shao, H., C. Zhou, M. K. Biswas, L. Bernardet, B. Etherton, M. Tong, J. Derber, and J. Whitaker, 2013. Testing and evaluation of GSI Hybrid Data Assimilation for basin-scale HWRF. NOAA Testbeds Workshop, College Park, MD, 2013, April 2-3

Newman, K., M. Hu, and H. Shao, 2013: Configuration Testing of GSI within an Operational Environment. 93rd AMS Annual Meeting, January 6-10, 2013

Shao, H., M. Hu, K. Newman, C. Zhou, and D. Stark, 2013: Update on Data Assimilation System Testing and Community Support. 93rd AMS Annual Meeting, January 6-10, 2013

Zhou, C., H. Shao, L. R. Bernardet, M. Biswas and B. J. Etherton: Testing and evaluation of GSI-Hybrid 3DVAR for basin scale HWRF. 93rd AMS Annual Meeting, January 6-10, 2013

Shao, H., M. Hu, D. Stark, K. Newman, C. Zhou, X. Y. Huang, John Derber, and Michael Lueken, DTC Data Assimilation System Community Support and Testing Activities: Variational, Ensemble and Hybrid. 13th WRF Users Workshop, Boulder, CO, June 25-29, 2012

Zhou, C., H. Shao, M. Hu, L. Bernardet, X.-Y. Huang and B. Etherton: Improved Hurricane Forecast through GSI-Hybrid data assimilation: A case study. 13th WRF Users Workshop, Boulder, CO, June 25-29, 2012

Newman, K., Z. Liu, C. Schwartz, H. Shao, X.-Y. Huang: Impact of MHS Radiance Assimilation for Regional EnKF. 13th WRF Users Workshop, Boulder, CO, June 25-29, 2012

Newman, K., Z. Liu, C. Schwartz, H. Shao, X.-Y. Huang: Testing and Evaluation of Regional EnKF Radiance Data Assimilation: Impact of MHS Assimilation. Joint 30th CMOS Conference - AMS 21st NWP/25th WAF Conference

Zhou, C., H. Shao and X.-Y. Huang: Testing and Evaluation of the GSI-Hybrid data assimilation for the Hurricane Forecasts. 30th AMS Conference on Hurricanes and Tropical Meteorology, Ponte Vedra, FL, April 2012

Huang X-Y, Hui Shao, Ming Hu, Kathryn Newman, Chunhua Zhou, and Don Stark: DTC Data Assimilation System Community Support and Tests: Status Report. 92nd AMS Annual Meeting, January 21-27, 2012

Zhou, C., K. M. Newman, H. Shao, X. Y. Huang and M. Hu: Testing and Evaluation of Radiance Data Assimilation Using the WRF-GSI System. 12th Annual WRF Users Workshop, Boulder, CO, 2011

Newman, K., C. Zhou, H. Shao, X.-Y. Huang: DTC Testing and Evaluation of Surface Data Impacts on the GSI Data Assimilation System. 12th Annual WRF Users Workshop, Boulder, CO, 2011

Newman, K., C. Zhou, H. Shao, X.-Y. Huang, M. Hu: Testing and Evaluation of the GSI Data Assimilation System. 91st AMS Annual Meeting, 2011

Data Assimilation