Validation of Real Time Second Generation Pole to Pole CMORPH
Abstract
The second generation CMORPH (CMORPH2) has been developed to produce satellite derived 30-minute precipitation estimates on a 0.05 o lat/lon grid over the entire globe, pole-to-pole. The CMORPH2 is built upon the Kalman Filter based CMORPH algorithm of Joyce and Xie (2011). Inputs to the system include liquid and frozen precipitation rate retrievals from passive microwave (PMW) measurements aboard all available low earth orbit (LEO) satellites, infrared (IR) observations of geostationary (GEO) and LEO platforms, and model precipitation forecast from the NCEP operational global forecast system (GFS). Inputs from the various sources are inter-calibrated to ensure quantitative consistencies in representing precipitation events of different intensities through PDF calibration against collocated precipitation retrievals from the Global Precipitation Measurement (GPM) GMI PMW sensor. The inter-calibrated precipitation estimates are then propagated forward and backward in time from their respective observation times to target analysis time, using motion vectors initially derived separately from satellite IR based precipitation estimates and GFS precipitation fields, then subsequently 2D-VAR combined to form global analyzed fields of precipitation motion vectors. Propagated precipitation estimates are finally integrated through the Kalman Filter framework. A processing system has been constructed to generate the CMORPH2 on a quasi real- time basis. CMORPH2 estimates are globally compared against CPC daily gauge analysis, and over CONUS using Stage IV radar precipitation and Multi-Radar/Multi- Sensor (MRMS), and numerical model forecasts to discover potential shortcomings and to quantify improvements against first generation CMORPH. Special attention will focus on CMORPH2 over high-latitude regions beyond the 60N/60S restriction of first generation CMORPH and NASA IMERG. At the 2020 Fall AGU, performance of CMORPH2 concerning the quantification of both precipitation detection and amount will be discussed.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMH200.0024J
- Keywords:
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- 3354 Precipitation;
- ATMOSPHERIC PROCESSES;
- 3360 Remote sensing;
- ATMOSPHERIC PROCESSES;
- 1854 Precipitation;
- HYDROLOGY;
- 1855 Remote sensing;
- HYDROLOGY