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The use of polar-orbiting satellite sounding data to estimate rural maximum and minimum temperaturesAtmospheric sounding products from NOAA's polar-orbiting satellites were used to derive and test predictive equations of rural shelter-level maximum and minimum temperatures. Sounding data from both winter and summer months were combined with surface data from over 5300 cooperative weather stations in the continental United States to develop multiple linear regression equations. Separate equations were developed for both maximum and minimum temperature, using the three types of sounding retrievals (clear, partly cloudy, and cloudy). Clear retrieval models outperformed others, and maximum temperatures were more accurately predicted than minimums. Average standard deviations of observed rural shelter temperatures within sounding search areas were of similar magnitude to root-mean-square errors from satellite estimates for most clear and partly cloudy cases, but were significantly less for cloudy retrieval cases. Model validation for surrogate polar and tropical climatic regions showed success in application of the four clear retrieval models (maximum and minimum temperature, for both winter and summer). This indicates the potential adaptability of these models to estimates of rural shelter temperature in areas outside of the United States.
Document ID
19930056722
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Johnson, Gregory L.
(USDA, N.W. Watershed Research Center Boise, ID, United States)
Davis, Jerry M.
(North Carolina State Univ. Raleigh, United States)
Karl, Thomas R.
(NASA Headquarters Washington, DC United States)
Mcnab, Alan L.
(NOAA, NESDIS, Asheville NC, United States)
Tarpley, J. D.
(NOAA, NESDIS, Camp Springs MD, United States)
Bloomfield, Peter
(North Carolina State Univ. Raleigh, United States)
Date Acquired
August 16, 2013
Publication Date
May 1, 1993
Publication Information
Publication: Journal of Applied Meteorology
Volume: 32
Issue: 5
ISSN: 0894-8763
Subject Category
Meteorology And Climatology
Accession Number
93A40719
Distribution Limits
Public
Copyright
Other

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