DocumentCode :
1844136
Title :
Verification of Cloud Dynamics and Radiation Database (CDRD) passive microwave precipitation retrieval algorithm using TRMM satellite radar and radiometer measurements over Southern Mediterranean Basin
Author :
Casella, Daniele ; Dietrich, Stefano ; Formenton, Marco ; Mugnai, Alberto ; Panegrossi, Giulia ; Sanò, Paolo ; Smith, Eric A. ; Tripoli, Gregory J.
Author_Institution :
ISAC-CNR, Rome, Italy
fYear :
2012
fDate :
5-9 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
A verification study is conducted for the Cloud Dynamics and Radiation Database (CDRD) rainfall algorithm over the southern Mediterranean Basin (25-36° N / 25° W-45° E), based on TRMM Microwave Imager (TMI) passive microwave (PMW) brightness temperature (TB) measurements. The CDRD´s required synthetic database is generated from a high resolution, nonhydrostatic cloud resolving model equipped with a precision RTE model. This dual modeling system is used to simulate numerous and precipitating storms over Europe and across the Mediterranean Basin as the database´s foundation. Extracted from the simulations for the database are the a priori knowledge variables involving many thousands of synthetic precipitating microphysical-meteorological profiles and their concomitant synthetic multi-frequency PMW TBs. This information provides the probability framework for the CDRD algorithm´s Bayesian inversion process and thus the means to relate measured satellite TBs to the most probable rainfall solutions. As the newest algorithm feature, the CDRD scheme makes use of meteorological parameters (tags) of observed precipitation systems, obtained from global NWP model synthesized initialization data, for both precipitation regime recognition and Bayesian retrieval constraints. These two steps effectively reduce non-uniqueness problems in obtaining retrieval solutions. Comparison of TMI-based CDRD retrievals to coincident TRMM Precipitation Radar (PR) retrievals, used as ground truth, provides the means to assess the algorithm´s performance and the twofold use of meteorological tag information for control and constraint. PR-retrieved cloud property parameters (e.g., freezing level) are also compared to NWP model tags to further verify algorithm design performance. The verification procedure utilizes a full year (2010) of TMI and PR measurements, indicating CDRD over-ocean and over-land results are within 0.10 and 0.17 mm hr-1 of the PR means, with accompa- ying 1.24 and 2.94 mm hr-1 rms errors. The CDRD algorithm is also compared to the TRMM TMI facility algorithm (2al2-v7), exhibiting slight improvement over water (in correlation coefficient) and significantly improvement over land. Error statistics indicate CDRD vis-a-vis 2al2 over-land improvements of 78% and 14% in regards to mean error and rms error, respectively.
Keywords :
Bayes methods; atmospheric radiation; atmospheric techniques; atmospheric temperature; clouds; inverse problems; radiometry; rain; remote sensing by radar; storms; AD 2010; Bayesian inversion process; Bayesian retrieval constraint; Europe; Southern Mediterranean Basin; TRMM satellite; brightness temperature measurement; cloud dynamics; cloud property parameter; nonhydrostatic cloud resolving model; passive microwave precipitation retrieval algorithm; precipitation regime recognition; precision RTE model; radar measurement; radiation database; radiometer measurement; storms; Argon; Object recognition; Reliability; Sea measurements; Spatial resolution; Bayesian Passive Microwave Precipitation Retrieval; CDRD Rainfall Algorithm Verification; Meteorological Constraints; Precipitation Regime Recognition; TRMM TMI and PR Precipitation Retrievals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2012 12th Specialist Meeting on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1468-8
Type :
conf
DOI :
10.1109/MicroRad.2012.6185243
Filename :
6185243
Link To Document :
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