Sensitivity to the vertical structure of hydrometeors using Polarimetric RO

DOI: 10.5194/egusphere-egu24-1520 Publication Date: 2024-03-08T10:59:06Z
ABSTRACT
The Global Navigation Satellite System (GNSS) Radio Occultation (RO) technique sounds the atmosphere providing high quality vertical profiles of thermodynamics on a global scale. Polarimetric RO (PRO) is an extension traditional that retrieves precipitation information in addition to standard thermodynamic products. has been demonstrated aboard Spanish Low Earth Orbiter (LEO) PAZ, as part and Heavy Precipitation (ROHP) experiment led by Institut de Ciències l’Espai (ICE-CSIC/IEEC) collaboration with NOAA, UCAR, NASA/Jet Propulsion Laboratory. This mission enables investigation intense events their associated meteorological conditions retrieving atmospheric variables offering insights into structure precipitation. determination accomplished through observable differential phase shift (ΔΦ), defined difference accumulated delay between two linear polarizations (H-V) function tangent point PRO rays. During certain challenges arise obtaining high-quality measurements parameters due signal attenuation. However, less affected attenuation, presenting opportunity obtain high-resolution about hydrometeors, simultaneously. Validation two-dimensional data successfully conducted using Measurement (GPM) gridded products (like Integrated Multi-satellitE Retrievals for GPM, IMERG). In this analysis, validation performed from Next Generation Weather Radars (NEXRAD), network dual-polarized Doppler radars operating at S-band, covering entire United States territory. By exploiting dual-polarization capabilities NEXRAD, comparison specific (KDP) structures ΔΦ aids examining similarities differences detection instruments. Furthermore, explore sensitivity various types Research Forecasting-Advanced Model (WRF-ARW) employed comparative focusing hydrometeor water contents. variation model’s microphysics parametrizations allows study technique’s based different assumptions hydrometeors. Changes these impact total precipitation, cloud properties, energy budget, spatial structure, among others. will contribute enhanced understanding observables obtained offer phenomena characterizing situations.
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