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Detecting ocean surface wind using the TRMM precipitation radar

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dc.contributor.author Im, E. en_US
dc.contributor.author Li, L. en_US
dc.date.accessioned 2004-09-22T21:59:19Z
dc.date.available 2004-09-22T21:59:19Z
dc.date.issued 2002-09-03 en_US
dc.identifier.citation Pan Ocean Remote Sensing Conference en_US
dc.identifier.citation Bali, Indonesia en_US
dc.identifier.clearanceno 02-0759 en_US
dc.identifier.uri http://hdl.handle.net/2014/11994
dc.description.abstract Although designed specifically for the measurement of precipitation in the atmosphere, the Precipitation Radar (PR) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite alsomeasures the normalized radar cross-section at the Earth's surface. As such, this instrument providesan interesting opportunity to explore an alternative radar configuration in the satellite remote sensingnf ocean winds. In particular, it can measure the strength of the ocean winds in relatively higherspatial resolution as compared to the conventional scatterometer systems presently in use. The addition of wind sensing capability to precipitation radar also complements its rain profiling capabilitynicely and allows coincident wind and rain measurements. In this paper, we discuss the new ocean wind algorithm developed specifically for TRMM PR using maximum likelihood estimation. A uniquefeature of this wind algorithm is its capability to incorporate measurement sensitivity and noiseinformation consistently in both the along-track and cross-track directions. This PR wind algorithm hasbeen tested using data from the TRMM Microwave Imager (TMI) and NASA QuikSCAT scatterometer.Excellent agreement on the retrieved wind strengths is achieved among three sensors. en_US
dc.format.extent 3399643 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other precipitation radar TRMM GPM CAMEX-4 ocean surface wind scatterometry en_US
dc.title Detecting ocean surface wind using the TRMM precipitation radar en_US


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