Modeling and imaging land-cover influences on air temperature in and near Baltimore, MD

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• 作者：Gordon M. Heisler ; Alexis Ellis ; David J. Nowak…
• 刊名：Theoretical and Applied Climatology
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：124
• 期：1-2
• 页码：497-515
• 全文大小：2,215 KB
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• 作者单位：Gordon M. Heisler (1)
  Alexis Ellis (2)
  David J. Nowak (1)
  Ian Yesilonis (3)
  
  1. Northern Research Station, USDA Forest Service, c/o State University of New York, College of Environmental Science and Forestry, 5 Moon Library, 1 Forestry Drive, Syracuse, NY, 13210, USA
  2. The Davey Institute, c/o USDA Forest Service, 5 Moon Library, 1 Forestry Drive, Syracuse, NY, 13210, USA
  3. Northern Research Station, USDA Forest Service, c/o Baltimore Ecosystem Study, 5523 Research Park, Suite 350, Baltimore, MD, 21228, USA
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Meteorology and Climatology
  Atmospheric Protection, Air Quality Control and Air Pollution
  Climate Change
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  
• 出版者：Springer Wien
• ISSN：1434-4483

文摘

Over the course of 1681 hours between May 5 and September 30, 2006, air temperatures measured at the 1.5-m height at seven sites in and near the city of Baltimore, MD were used to empirically model Δ \( \widehat{T} \) _R-p , the difference in air temperature between a site in downtown Baltimore and the six other sites. Variables in the prediction equation included difference between the downtown reference and each of the other sites in upwind tree cover and impervious cover as obtained from 10-m resolution geographic information system (GIS) data. Other predictor variables included an index of atmospheric stability, topographic indices, wind speed, vapor pressure deficit, and antecedent precipitation. The model was used to map predicted hourly Δ \( \widehat{T} \) _R-p across the Baltimore region based on hourly weather data from the airport. Despite the numerous sources of variability in the regression modeling, the method produced reasonable map patterns of Δ \( \widehat{T} \) _R-p that, except for some areas evidently affected by sea breeze from the Chesapeake, closely matched results of mesoscale modeling. Potential applications include predictions of the effect of changing tree cover on air temperature in the area.