Paper Info
Title
Spaceborne passive microwave measurement of snowfall over land
Abstract
A physically based retrieval algorithm was developed to estimate snowfall over land. The retrieval algorithm relies on the MM5 model that generates the vertical structure of a snow cloud, including snow mass, snow particle effective diameter, and water vapor. The MM5 cloud simulation was used to provide statistics for generating the cloud characteristics. The snow cloud profile and surface emissivity were then used in radiative transfer calculations that were optimized against AMSU-B observations at 89, 150 and 183.3±7, ±3, and ±1 GHz. The multi-parameter cloud model that produced brightness temperatures that best fit the AMSU-B observations was selected as the retrieved profile. The retrieved snowfall distribution was validated with radar reflectivity measurements obtained from the operational NWS radar network.
Year
DOI
Venue
2003
10.1109/IGARSS.2003.1294716
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Keywords
DocType
Volume
snow,180.3 to 186.3 ghz,150 ghz,multiparameter cloud model,millimetre wave imaging,atmospheric techniques,176.3 to 190.3 ghz,radiative transfer calculation,spaceborne passive microwave measurement,radiative transfer,snow particle effective diameter,clouds,reflectivity,182.3 to 184.3 ghz,image retrieval,land snowfall,meteorological radar,mm5 model,retrieval algorithm,surface emissivity,operational nws radar network,water vapor,89 ghz,radar reflectivity measurements,snow mass,spaceborne radar,radar imaging,snow cloud,brightness temperatures,statistics,brightness temperature
Conference
5
ISBN
Citations 
PageRank 
0-7803-7929-2
2
0.51
References 
Authors
1
4
Name
Order
Citations
PageRank
Minjeong Kim143550.98
Skofronick-Jackson, G.220.51
James A. Weinman3518.65
Dong-Eon Chang4274.34