Overland Precipitation Estimation from TRMM Passive Microwave Observations
نویسندگان
چکیده
منابع مشابه
Precipitation Estimation from Radar and Radiometric Observations from Trmm Data Using Artificial Neural Networks
Artificial Neural Network (ANN) technique has been used for the estimation of precipitation, mainly from passive and active microwave measurements from space. ANN has been used to estimate precipitation using TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measuring Mission (TRMM) satellite. A precipitation algorithm designed to generate rainfall estimates using a combination of TMI and T...
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Satellite remote sensing is an indispensable means of measuring and monitoring precipitation on a global scale. The Tropical Rainfall Measuring Mission (TRMM) is continuing to make significant progress in helping the global features of precipitation to be understood, particularly with the help of a pair of spaceborne microwave sensors, the TRMM Microwave Imager (TMI) and precipitation radar (PR...
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[1] A study of the uncertainties in infrared (IR) and microwave (MW) sea surface temperature (SST) retrievals by satellite is described here. The availability of both infrared (VIRS) and microwave (TMI) sensors on the Tropical Rainfall Measurement Mission (TRMM) provided an opportunity to perform this detailed SST intercomparison from two distinct but colocated sensors. Infrared retrievals prov...
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Several methods have been proposed to train microwave radiometers to retrieve precipitation rates estimated by a radar which observed the same location at the same time. These radar-trained passive-microwave algorithms differ in the quantities that are estimated: some estimate the vertically-integrated liquid water, while others estimate the near-surface precipitation. Since it is no more or le...
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ژورنال
عنوان ژورنال: Journal of Applied Meteorology
سال: 2001
ISSN: 0894-8763,1520-0450
DOI: 10.1175/1520-0450(2001)040<1367:opeftp>2.0.co;2