Estimating the urban bias of surface shelter temperatures using upper-air and satellite data. Part 1: Development of models predicting surface shelter temperatures

Journal Article · Wed Feb 01 04:00:00 EST 1995 · Journal of Applied Meteorology

DOI:https://doi.org/10.1175/1520-0450-34.2.340· OSTI ID:85437

Epperson, D L; Davis, J M; Bloomfield, P; Karl, T R; Mcnab, A L; Gallo, K P ^[1]

---

1. North Carolina State Univ., Raleigh, NC (United States)

Multiple regression techniques were used to predict surface shelter temperatures based on the time period 1986-89 using upper-air data from the European Centre for Medium-Range Weather Forecasts (ECMWF) to represent the background climate and site-specific data to represent the local landscape. Global monthly mean temperature models were developed using data from over 5000 stations available in the Global Historical Climate Network (GHCN). Monthly maximum, mean, and minimum temperature models for the United States were also developed using data from over 1000 stations available in the U.S. Cooperative (COOP) Network and comparative monthly mean temperature models were developed using over 1150 U.S. stations in the GHCN. Three-, six-, and full-variable models were developed for comparative purposes. Inferences about the variables selected for the various models were easier for the GHCN models, which displayed month-to-month consistency in which variables were selected, than for the COOP models, which were assigned a different list of variables for nearly every month. These and other results suggest that global calibration is preferred because data from the global spectrum of physical processes that control surface temperatures are incorporated in a global model.

• Research Organization: National Aeronautics and Space Administration, Washington, DC (United States)
• Sponsoring Organization: USDOE
• OSTI ID: 85437
• Journal Information: Journal of Applied Meteorology, Journal Name: Journal of Applied Meteorology Journal Issue: 2 Vol. 34; ISSN JOAMEZ; ISSN 0894-8763
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
AERIAL MONITORING
EARTH ATMOSPHERE
GREENHOUSE EFFECT
TEMPERATURE DISTRIBUTION
TEMPERATURE MONITORING
URBAN AREAS