Articles | Volume 14, issue 5
https://doi.org/10.5194/amt-14-3333-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-3333-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
06 May 2021
Research article | Highlight paper |
| 06 May 2021
| 06 May 2021
Assimilation of DAWN Doppler wind lidar data during the 2017 Convective Processes Experiment (CPEX): impact on precipitation and flow structure
Svetla Hristova-Veleva
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91107, USA
Sara Q. Zhang
National Aeronautics and Space Administration, Goddard Space Flight
Center, Greenbelt, MD 20771, USA
Science Applications International Corporation, McLean, VA 22101, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91107, USA
Ziad S. Haddad
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91107, USA
Randy C. Sawaya
Department of Physics and Astronomy, University of California, Irvine, Irvine, CA 92697, USA
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Short summary
The assimilation of airborne-based three-dimensional winds into a mesoscale weather forecast model resulted in better agreement with airborne radar-derived precipitation 3-D structure at later model time steps. More importantly, there was also a discernible impact on the resultant wind and moisture structure, in accord with independent analysis of the wind structure and external satellite observations.
The assimilation of airborne-based three-dimensional winds into a mesoscale weather forecast...
