Editorial Type:
Article
Article Type:
Research Article

Daily Rainfall Detection and Estimation over Land Using Microwave Surface Emissivities

Camille Birman CNRM/GAME, UMR 3589, CNRS/Météo-France, Saint Martin d’Hères, France

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Fatima Karbou CNRM/GAME, UMR 3589, CNRS/Météo-France, Saint Martin d’Hères, France

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Jean-François Mahfouf CNRM/GAME, UMR 3589, CNRS/Météo-France, Toulouse, France

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Print Publication:
01 Apr 2015
DOI:
https://doi.org/10.1175/JAMC-D-14-0192.1
Page(s):
880–895
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Abstract

Surface 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.

Corresponding author address: Camille Birman, CNRM/GAME, UMR 3589, CNRS/Météo-France, 1441 rue de la Piscine, 38400 Saint Martin d’Héres, France. E-mail: camille.birman@meteo.fr

Abstract

Surface 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.

Corresponding author address: Camille Birman, CNRM/GAME, UMR 3589, CNRS/Météo-France, 1441 rue de la Piscine, 38400 Saint Martin d’Héres, France. E-mail: camille.birman@meteo.fr
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