Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6891-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6891-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
12 Sep 2022
Model evaluation paper |
| 12 Sep 2022
| 12 Sep 2022
Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study
Ivette H. Banos
CORRESPONDING AUTHOR
Postgraduate Division, Coordination of Teaching, Research and Extension, National Institute for Space Research, São José dos Campos, São Paulo, Brazil
now at: NCAR Mesoscale and Microscale Meteorology Laboratory, Boulder, CO, USA
Will D. Mayfield
NCAR Research Applications Laboratory, Boulder, CO, USA
Developmental Testbed Center, Boulder, CO, USA
Guoqing Ge
NOAA Global Systems Laboratory, Boulder, CO, USA
Cooperative Institute for Research in Environmental Sciences, CU Boulder, Boulder, CO, USA
Luiz F. Sapucci
Center for Weather Forecasts and Climate Studies, National Institute for Space Research, Cachoeira Paulista, São Paulo, Brazil
Jacob R. Carley
Modeling and Data Assimilation Branch, NOAA NCEP Environmental Modeling Center, College Park, MD, USA
Louisa Nance
NCAR Research Applications Laboratory, Boulder, CO, USA
Developmental Testbed Center, Boulder, CO, USA
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Short summary
A prototype data assimilation system for NOAA’s next-generation rapidly updated, convection-allowing forecast system, or Rapid Refresh Forecast System (RRFS) v0.1, is tested and evaluated. The impact of using data assimilation with a convective storm case study is examined. Although the convection in RRFS tends to be overestimated in intensity and underestimated in extent, the use of data assimilation proves to be crucial to improve short-term forecasts of storms and precipitation.
A prototype data assimilation system for NOAA’s next-generation rapidly updated,...
