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Article

The Potential for Discriminating Microphysical Processes in Numerical Weather Forecasts Using Airborne Polarimetric Radio Occultations

1
Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093, USA
2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
3
Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2268; https://doi.org/10.3390/rs11192268
Received: 16 August 2019 / Revised: 20 September 2019 / Accepted: 24 September 2019 / Published: 28 September 2019
(This article belongs to the Special Issue Radar Polarimetry—Applications in Remote Sensing of the Atmosphere)
Accurate representation of cloud microphysical processes in numerical weather and climate models has proven challenging, in part because of the highly specialized instrumentation required for diagnosing errors in simulated distributions of hydrometeors. Global Navigation Satellite System (GNSS) polarimetric radio occultation (PRO) is a promising new technique that is sensitive to hydrometeors and has the potential to help address these challenges by providing microphysical observations that are relevant to larger spatial scales, especially if this type of observing system can be implemented on aircraft that can target heavy precipitation events. Two numerical experiments were run using a mesoscale model configured with two different microphysical parameterization schemes for a very intense atmospheric river (AR) event that was sampled by aircraft deploying dropsondes just before it made landfall in California, during the CalWater 2015 field campaign. The numerical experiments were used to simulate profiles of airborne polarimetric differential phase delay observations. The differential phase delay due to liquid water hydrometeors below the freezing level differed significantly in the two experiments, as well as the height of the maximum differential phase delay due to all hydrometeors combined. These results suggest that PRO observations from aircraft have the potential to contribute to validating and improving the representation of microphysical processes in numerical weather forecasts once these observations become available. View Full-Text
Keywords: numerical weather prediction; cloud microphysics; microphysical parameterization; radio occultation; polarimetric radar; precipitation; convection; atmospheric river numerical weather prediction; cloud microphysics; microphysical parameterization; radio occultation; polarimetric radar; precipitation; convection; atmospheric river
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MDPI and ACS Style

Murphy, M.J.; Haase, J.S.; Padullés, R.; Chen, S.-H.; Morris, M.A. The Potential for Discriminating Microphysical Processes in Numerical Weather Forecasts Using Airborne Polarimetric Radio Occultations. Remote Sens. 2019, 11, 2268. https://doi.org/10.3390/rs11192268

AMA Style

Murphy MJ, Haase JS, Padullés R, Chen S-H, Morris MA. The Potential for Discriminating Microphysical Processes in Numerical Weather Forecasts Using Airborne Polarimetric Radio Occultations. Remote Sensing. 2019; 11(19):2268. https://doi.org/10.3390/rs11192268

Chicago/Turabian Style

Murphy, Michael J., Jennifer S. Haase, Ramon Padullés, Shu-Hua Chen, and Margaret A. Morris 2019. "The Potential for Discriminating Microphysical Processes in Numerical Weather Forecasts Using Airborne Polarimetric Radio Occultations" Remote Sensing 11, no. 19: 2268. https://doi.org/10.3390/rs11192268

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