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On Some Aspects of Precipitation over Tropical Indian Ocean Using Satellite Data

DRS at CSIR-National Institute of Oceanography

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Title On Some Aspects of Precipitation over Tropical Indian Ocean Using Satellite Data
 
Creator RameshKumar, M.R.
Sreejith, O.P.
 
Description The annual and inter-annual variability of precipitation over the tropical Indian Ocean is studied for the period 1979–1997, using satellite data from a variety of sensors. The Climate Prediction Center Merged Analysis Precipitation (CMAP), Microwave Sounding Unit (MSU) estimates of rainfall had better correlation with the island rainfall data than the National Centers for Environmental Prediction/National Center for Atmospheric Research Reanalysis (NRA)estimates. A comparison of the mean annual rainfall by different estimates (CMAP, MSU, NRA and GPCP (Global Precipitation Climatology Programme)) showed significant differences with the CMAP, GPCP and MSU estimates depicting maximum off the Indonesian Islands whilst the NRA
exhibited maximum in the southern part of the Bay of Bengal and equatorial Indian Ocean. A study of the inter-annual variability of the monsoon rainfall using the monthly CMAP data over the tropical Indian Ocean for different study areas, namely, Arabian Sea (AS), Bay of Bengal (BB), south Indian Ocean (SIO) and Indian Ocean (IO) showed significant differences during deficit years (1979, 1982, 1986 and 1987), excess monsoon years (1983 and 1988) and also during El Nino Southern Oscillation (ENSO) years (1982, 1987, 1992 and 1997). An
analysis of the rainfall anomalies showed positive and negative anomalies in the
north-eastern Bay of Bengal during the summer season of deficit (1986) and excess (1988) monsoon years respectively, whilst the eastern equatorial Indian Ocean showed large positive and negative rainfall anomalies during the autumn season of El Nin˜ o years, 1987 (deficit monsoon) and 1997 (normal monsoon) respectively.
 
Date 2006-03-22T04:54:54Z
2006-03-22T04:54:54Z
2005
 
Type Journal Article
 
Identifier International Journal of Remote Sensing, vol.26(8), 1717–1728p.
http://drs.nio.org/drs/handle/2264/12
 
Language en
 
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Format 893018 bytes
application/pdf
 
Publisher Taylor & Francis