Reducing Uncertainties of SNO-Estimated Intersatellite AMSU-A Brightness Temperature Biases for Surface-Sensitive Channels
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چکیده
منابع مشابه
Estimating sampling biases andmeasurement uncertainties of AIRS/AMSU-A temperature and water vapor observations using MERRA reanalysis
We use MERRA (Modern Era Retrospective-Analysis for Research Applications) temperature and water vapor data to estimate the sampling biases of climatologies derived from the AIRS/AMSU-A (Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit-A) suite of instruments. We separate the total sampling bias into temporal and instrumental components. The temporal component is caused by the AIRS...
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The Advanced Microwave Sounding Unit-B (AMSU-B) installed on the NOAA-15, 16, and 17 satellites, is the new generation of a series of microwave imagers/sounders that can sense atmospheric moisture and other hydrometeors through clouds. This paper demonstrates the potential of multi-frequency AMSU-B data for classifying different types of hydrometeors. Ten types of these hydrometers have been co...
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AFFILIATIONS: PIELKE—CIRES and ATOC, University of Colorado, Boulder, Colorado; NIELSEN-GAMMON—Department of Atmospheric Sciences, Texas A&M University, College Station, Texas; DAVEY—Desert Research Institute, Reno, Nevada; ANGEL—Illinois State Water Survey, Department of Natural Resources, Champaign, Illinois; BLISS AND DOESKEN—Atmospheric Science, Colorado State University, Fort Collins, Colo...
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A 10-m air temperature (Ta) retrieval using Advanced Microwave Sounding Unit A (AMSU-A) and satellite-derived sea surface temperature (Ts) observations is presented. The multivariable linear regression retrieval uses AMSU-A brightness temperatures from the 52.8and 53.6-GHz channels and satellite-derived daily sea surface temperatures to determine Ta. A regression error of 0.838C using 841 match...
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The NOAA-15 weather satellite carries the Advanced Microwave Sounding Units-A and -B (AMSU-A, AMSU-B) which measure thermal emission from an atmospheric oxygen band, two water lines, and several window frequencies. An iterated minimum-variance algorithm retrieves profiles of temperature and humidity in the atmosphere from this data. Relative humidity is converted into absolute humidity with use...
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ژورنال
عنوان ژورنال: Journal of Atmospheric and Oceanic Technology
سال: 2008
ISSN: 1520-0426,0739-0572
DOI: 10.1175/2007jtecha1020.1