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Detailed Analysis of Indian Summer Monsoon Rainfall Processes with Modern/High-Quality Satellite ObservationsWe examine, in detail, Indian Summer Monsoon rainfall processes using modernhigh quality satellite precipitation measurements. The focus here is on measurements derived from three NASA cloud and precipitation satellite missionslinstruments (TRMM/PR&TMI, AQUNAMSRE, and CLOUDSATICPR), and a fourth TRMM Project-generated multi-satellite precipitation measurement dataset (viz., TRMM standard algorithm 3b42) -- all from a period beginning in 1998 up to the present. It is emphasized that the 3b42 algorithm blends passive microwave (PMW) radiometer-based precipitation estimates from LEO satellites with infi-ared (IR) precipitation estimates from a world network of CEO satellites (representing -15% of the complete space-time coverage) All of these observations are first cross-calibrated to precipitation estimates taken from standard TRMM combined PR-TMI algorithm 2b31, and second adjusted at the large scale based on monthly-averaged rain-gage measurements. The blended approach takes advantage of direct estimates of precipitation from the PMW radiometerequipped LEO satellites -- but which suffer fi-om sampling limitations -- in combination with less accurate IR estimates from the optical-infrared imaging cameras on GEO satellites -- but which provide continuous diurnal sampling. The advantages of the current technologies are evident in the continuity and coverage properties inherent to the resultant precipitation datasets that have been an outgrowth of these stable measuring and retrieval technologies. There is a wealth of information contained in the current satellite measurements of precipitation regarding the salient precipitation properties of the Indian Summer Monsoon. Using different datasets obtained from the measuring systems noted above, we have analyzed the observations cast in the form of: (1) spatially distributed means and variances over the hierarchy of relevant time scales (hourly I diurnally, daily, monthly, seasonally I intra-seasonally, and inter-annually), (2) time series at these different time scales taken as area-averages over the hierarchy of relevant space scales (Indian sub-Division, Indian sub-continent, and Circumambient Indian Ocean), (3) principal autocorrelation and cross-correlation structures over various monsoon space-time domains, (4) diurnally modulated amplitude-phase properties of rain rates over different monsoon space-time domains, (5) foremost rain rate probability distributions intrinsic to monsoon precipitation, and (6) behavior of extreme events including occurrences of flood and drought episodes throughout the course of inter-annual monsoon processes.
Document ID
20080044881
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Smith, Eric A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Kuo, Kwo-Sen
(Caelum Research Corp. Greenbelt, MD, United States)
Mehta, Amita V.
(Maryland Univ. Greenbelt, MD, United States)
Yang, Song
(George Mason Univ. Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
September 24, 2007
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: The Joint 2007 EUMETSAT/AMS Satellite Conference
Location: Amsterdam
Country: Netherlands
Start Date: September 24, 2007
End Date: September 28, 2007
Distribution Limits
Public
Copyright
Other

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