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Article
Article Type:
Research Article

A Prototype Precipitation Retrieval Algorithm over Land for ATMS

Yalei You Earth System Science Interdisciplinary Center, and Cooperative Institute for Climate and Satellites, University of Maryland, College Park, College Park, Maryland

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Nai-Yu Wang Earth System Science Interdisciplinary Center, and Cooperative Institute for Climate and Satellites, University of Maryland, College Park, College Park, Maryland

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Ralph Ferraro NOAA/NESDIS/STAR, College Park, Maryland

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Patrick Meyers Earth System Science Interdisciplinary Center, and Cooperative Institute for Climate and Satellites, University of Maryland, College Park, College Park, Maryland

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Print Publication:
01 May 2016
DOI:
https://doi.org/10.1175/JHM-D-15-0163.1
Page(s):
1601–1621
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Abstract

A prototype precipitation algorithm for the Advanced Technology Microwave Sounder (ATMS) was developed by using 3-yr coincident ground radar and ATMS observations over the continental United States (CONUS). Several major improvements to a previously published algorithm for the Special Sensor Microwave Imager/Sounder (SSMIS) include 1) considering the different footprint size of ATMS pixels, 2) calculating the uncertainty associated with the precipitation estimation, and 3) extending the algorithm to the 60°S–60°N region using only CONUS observations to construct the database. It is found that the retrieved and radar-observed rain rates agree well (e.g., correlation 0.66) and the one-standard-deviation error bar provides valuable retrieval uncertainty information. The geospatial pattern from the retrieved rain rate is largely consistent with that from radar observations. For the snowfall performance, the ATMS-retrieved results clearly capture the snowfall events over the Rocky Mountain region, while radar observations almost entirely miss the snowfall events over this region. Further, this algorithm is applied to the 60°S–60°N land region. The representative nature of rainfall over CONUS permitted the application of this algorithm to 60°S–60°N for rainfall retrieval, evidenced by the progress and retreat of the major rainbands. However, an artificially large snowfall rate is observed in several regions (e.g., Tibetan Plateau and Siberia) because of frequent false detection and overestimation caused by much colder brightness temperatures.

Corresponding author address: Yalei You, ESSIC, University of Maryland, College Park, 5825 Research Court, College Park, MD 20740. E-mail: yyou@umd.edu

This article is included in the Seventh International Precipitation Working Group (IPWG) Workshop special collection.

Abstract

A prototype precipitation algorithm for the Advanced Technology Microwave Sounder (ATMS) was developed by using 3-yr coincident ground radar and ATMS observations over the continental United States (CONUS). Several major improvements to a previously published algorithm for the Special Sensor Microwave Imager/Sounder (SSMIS) include 1) considering the different footprint size of ATMS pixels, 2) calculating the uncertainty associated with the precipitation estimation, and 3) extending the algorithm to the 60°S–60°N region using only CONUS observations to construct the database. It is found that the retrieved and radar-observed rain rates agree well (e.g., correlation 0.66) and the one-standard-deviation error bar provides valuable retrieval uncertainty information. The geospatial pattern from the retrieved rain rate is largely consistent with that from radar observations. For the snowfall performance, the ATMS-retrieved results clearly capture the snowfall events over the Rocky Mountain region, while radar observations almost entirely miss the snowfall events over this region. Further, this algorithm is applied to the 60°S–60°N land region. The representative nature of rainfall over CONUS permitted the application of this algorithm to 60°S–60°N for rainfall retrieval, evidenced by the progress and retreat of the major rainbands. However, an artificially large snowfall rate is observed in several regions (e.g., Tibetan Plateau and Siberia) because of frequent false detection and overestimation caused by much colder brightness temperatures.

Corresponding author address: Yalei You, ESSIC, University of Maryland, College Park, 5825 Research Court, College Park, MD 20740. E-mail: yyou@umd.edu

This article is included in the Seventh International Precipitation Working Group (IPWG) Workshop special collection.

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