Hourly Meteorological Data of the Forest Ecosystem Dynamics Project Spatial Data Archive
Entry ID: FED_METEOROL_HOURLY

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Summary
Abstract: Forest Ecosystem Dynamics (FED) Project Spatial Data Archive: Hourly Meteorological Data for Northern Experimental Forest

The Biospheric Sciences Branch (formerly Earth Resources Branch) within the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center and associated University investigators are involved in a research program entitled Forest Ecosystem Dynamics (FED) which is ... View entire text
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Geographic Coverage
Spatial coordinates   
  N: 45.0   S: 45.0   E: -68.0   W: -68.0

Data Set Citation
Dataset Originator/Creator: Darrel L. Williams
Dataset Title: Hourly Meteorological Data for Northern Experimental Forest
Dataset Series Name: FED Project Home Page
Dataset Release Place: NASA/GSFC
Dataset Publisher: NASA/GSFC
Data Presentation Form: ASCII Tables
Online Resource: http://fedwww.gsfc.nasa.gov/html/spatial-data223.html
Temporal Coverage
Start Date: 1987-06-23
Stop Date: 1992-12-31
Ancillary Keywords
Originating Center
Data Center
Forest Ecosystem Dynamics Project, Biospheric Sciences Branch, Hydrospheric and Biospheric Sciences Laboratory, Earth Sciences Division, Science and Exploration Directorate, Goddard Space Flight Center, NASA Supplemental Info
Data Center URL: http://forest.gsfc.nasa.gov/

Data Center Personnel
Name: BRUCE COOK
Email: bruce.cook at nasa.gov
Contact Address:
NASA
Goddard Space Flight Center
Mailstop 614.4
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
Distribution
Distribution Media: WWW
Distribution Format: ASCII Text
Fees: Free
Personnel
Role: TECHNICAL CONTACT
Phone: 207-581-2844
Email: goltz at maine.maine.edu
Contact Address:
Department of Applied Ecology and Environmental Science
University of Maine, Orono
City: Orono
Province or State: ME
Postal Code: 04469-5722
Country: USA
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Publications/References
See: http://fedwww.gsfc.nasa.gov/html/fedmac/refs.html

Smith, J.A. and S.M. Goltz. 1994. A thermal exitance and energy
balance model for forest canopies. IEEE Trans. Geosci. and Rem. Sens.,
32:1060-1066

Smith, J.A. and S.M. Goltz. 1994. Updated thermal model using
simplified short-wave radiosity calculations. Remote Sensing of
Environment, ... View entire text
Creation and Review Dates
Last DIF Revision Date: 2011-04-06
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