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contributor authorBirman, Camille
contributor authorKarbou, Fatima
contributor authorMahfouf, Jean-François
date accessioned2017-06-09T16:50:32Z
date available2017-06-09T16:50:32Z
date copyright2015/04/01
date issued2015
identifier issn1558-8424
identifier otherams-75111.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217411
description abstracturface emissivities computed at 89 GHz from AMSU-A, AMSU-B, and SSMI/S instruments are used to detect rain events and to estimate a daily precipitation rate over land surfaces. This new retrieval algorithm, called the emissivity rainfall retrieval (EMIRR) algorithm, is evaluated over France and compared with several other precipitation products. The precipitation detection is performed using temporal changes in daily surface emissivities. A statistical fit, derived from a rainfall analysis product using rain gauge and radar data, is devised to estimate a daily precipitation rate from surface emissivities. Rain retrievals are evaluated over a 1-yr period in 2010 against other precipitation products, including rain gauge measurements. The EMIRR algorithm allows a reasonable detection of rainy events from daily surface emissivities. The number of rainy days and the daily rainfall rates compare well to estimates from other precipitation products. However, the algorithm tends to overestimate low precipitation amounts and to underestimate higher ones, with reduced performances in the presence of snow. Despite such limitations, this new method is very promising and provides a demonstration of the potential use of the 89-GHz surface emissivities to infer relevant information (occurrence and amounts) related to daily precipitation over land surfaces.
publisherAmerican Meteorological Society
titleDaily Rainfall Detection and Estimation over Land Using Microwave Surface Emissivities
typeJournal Paper
journal volume54
journal issue4
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-14-0192.1
journal fristpage880
journal lastpage895
treeJournal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 004
contenttypeFulltext


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