The use of polar-orbiting satellite sounding data to estimate rural maximum and minimum temperatures

Journal Article · Sat May 01 04:00:00 EDT 1993 · Journal of Applied Meteorology; (United States)

DOI:https://doi.org/10.1175/1520-0450(1993)032<0857:TUOPOS>2.0.CO;2· OSTI ID:6535011

Johnson, G L ^[1]; Davis, J M; Bloomfield, P ^[2]; Karl, T R; McNab, A L ^[3]; Tarpley, J D ^[4]

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1. USDA Agricultural Research Service, Boise, ID (United States)
2. North Carolina State Univ., Raleigh (United States)
3. NOAA, Asheville, NC (United States)
4. NOAA, Camp Springs, MD (United States)

Atmospheric 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 5,300 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. 26 refs., 10 figs., 8 tabs.

• OSTI ID: 6535011
• Journal Information: Journal of Applied Meteorology; (United States), Journal Name: Journal of Applied Meteorology; (United States) Vol. 32:5; ISSN JOAMEZ; ISSN 0894-8763
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
540110*
CRYOSPHERE
DATA
DIAGNOSTIC USES
INFORMATION
MATHEMATICS
MONITORING
NUMERICAL DATA
POLAR REGIONS
REGRESSION ANALYSIS
SATELLITES
SEASONAL VARIATIONS
STATISTICAL DATA
STATISTICS
TEMPERATURE MONITORING
TEMPERATURE RANGE
USES
VARIATIONS
WEATHER