Precipitation Microphysics in Tropical Cyclones: A Global Perspective Using the NASA Global Precipitation Measurement Mission Dual‐Frequency Precipitation Radar

Author:

Brauer Noah S.12ORCID,Kirstetter Pierre E.1234ORCID,Basara Jeffrey B.245ORCID,Hristova‐Veleva Svetla6ORCID,Tanelli Simone6,Joseph Turk F.6ORCID

Affiliation:

1. Advanced Radar Research Center University of Oklahoma Norman OK USA

2. School of Meteorology University of Oklahoma Norman OK USA

3. NOAA/OAR National Severe Storms Laboratory Norman OK USA

4. School of Civil Engineering and Environmental Science University of Oklahoma Norman OK USA

5. Department of Environmental, Earth, and Atmospheric Sciences University of Massachusetts Lowell Lowell MA USA

6. Jet Propulsion Laboratory California Insititute of Technology Pasadena CA USA

Abstract

AbstractPrecipitation microphysics in tropical cyclones (TCs) are often poorly represented in numerical simulations, which ultimately affects TC structure, evolution, and prediction. This provides a large incentive to better observe and understand the underlying microphysical processes in TCs in order to improve precipitation forecasts and warning operations. 112 TCs from 2014 to 2020 were matched up with overpasses from the NASA Global Precipitation Measurement (GPM) mission Dual‐Frequency Precipitation Radar (DPR) on a global scale to identify cloud properties and associated precipitation processes by quantifying vertical slopes of reflectivity in the liquid and ice phase. Further, vertical profiles of reflectivity were partitioned into different 850–200 hPa shear‐relative quadrants of each storm, different annuli from the storm center, and 5 TC ocean basins globally. Preliminary results showed the highest echo top heights occurred in the Northwest Pacific and Indian Ocean basins, with all basins and quadrants exhibiting median negative slopes of KuPR in the liquid phase. Additionally, all shear‐relative quadrants revealed negative slopes of reflectivity in the ice phase implying ice hydrometeor growth. These findings can potentially be used to improve the representation of cloud properties and the accuracy of the DPR particle size distribution algorithm in TCs.

Funder

Teachers College

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

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