DocumentCode :
2103497
Title :
Validation and applications of a realtime global precipitation analysis
Author :
Turk, F. Joseph ; Ebert, Elizabeth E. ; Oh, Hyun-Jong ; Sohn, Byung-Ju
Author_Institution :
Marine Meteorol. Div., Naval Res. Lab., Monterey, CA, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
705
Abstract :
A series of validation statistics are presented from a operational global, minimum 3-hourly updating precipitation analysis. The technique was developed at the Naval Research Laboratory (NRL) for use in numerical weather prediction (NWP) model data assimilation and now casting operations. The technique is an adaptive statistical/hybrid technique which incorporates data from all current operational infrared-based geostationary satellites and from all (currently) available low-Earth orbiting microwave-based sensors, the Special Sensor Microwave Imager (SSMI), the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), and the Advanced Microwave Sounding Unit (AMSU-B). Knowledge of the rain estimation error statistics are needed in order to properly utilize precipitation observations in NWP variational assimilation techniques. Validation statistics are presented from comparisons with operationally supported raingauge networks in Australia and Korea in a two-dimensional fashion, where the spatial and temporal dimensions are each individually varied.
Keywords :
atmospheric precipitation; atmospheric techniques; rain; remote sensing; weather forecasting; 3-hourly updating; NWP; Naval Research Laboratory; adaptive method; atmosphere; data assimilation; global precipitation; measurement technique; meteorology; nowcasting; numerical model; numerical prediction; operational updating; rain; rain estimation error statistics; rainfall; real time analysis; realtime analysis; satellite remote sensing; validation; validation statistics; variational assimilation; weather forecasting; Acoustic sensors; Casting; Data assimilation; Infrared image sensors; Laboratories; Microwave sensors; Microwave theory and techniques; Predictive models; Statistical analysis; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1025625
Filename :
1025625
Link To Document :
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