Skip to Main Content
Modeling physical and chemical climate of the northeastern United States for a geographic information systemAuthor(s): Scott V. Ollinger; John D. Aber; Anthony C. Federer; Gary M. Lovett; Jennifer M. Ellis
Source: Gen. Tech. Rep. NE-191. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 30 p.
Publication Series: General Technical Report (GTR)
Station: Northeastern Research Station
PDF: View PDF (7.46 MB)
DescriptionA model of physical and chemical climate was developed for New York and New England that can be used in a GIs for integration with ecosystem models. The variables included are monthly average maximum and minimum daily temperatures, precipitation, humidity, and solar radiation, as well as annual atmospheric deposition of sulfur and nitrogen. Equations generated from regional data bases were combined with a digital elevation model of the region to generate digital coverages of each variable.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationOllinger, Scott V.; Aber, John D.; Federer, Anthony C.; Lovett, Gary M.; Ellis, Jennifer M. 1995. Modeling physical and chemical climate of the northeastern United States for a geographic information system. Gen. Tech. Rep. NE-191. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 30 p.
Keywordstemperature, precipitation, solar radiation, humidity, atmospheric deposition, sulfur, nitrogen
- Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data
- Delineating generalized species boundaries from species distribution data and a species distribution model
- Empirical downscaling of daily minimum air temperature at very fine resolutions in complex terrain
XML: View XML