[Keyword='WEEKLY DATA']
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Climate Prediction Center's Monthly and Weekly Heating and Cooling Degree Days for 200 U.S. Cities
Entry ID:
CAC_MCTYCDDYMCTYHDDYWCTYXDDY
Summary
Abstract:
[Source: NOAA Climate Prediction Center, http://www.cpc.ncep.noaa.gov/ ]
These data sets contain weekly and monthly heating and cooling degree day data for 200 U.S. cities. Each station record contains the total from the summation of daily values, departure from the normal (based on 1951-1980), departure from last year's total, accumulated total from the beginning of the season, departure from ... 
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Geographic Coverage
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Spatial coordinates
Data Set Citation
Dataset Title:
Climate Prediction Center's Monthly and Weekly Heating and Cooling Degree Days for 200 U.S. Cities
Online Resource:
http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/cdus/degr...
Data Resolution
Temporal Resolution:
Weekly, Monthly, Seasonal
Science Keywords
Access Constraints
Data is available to registered users of the EDINA Digimap Service.
Please note that the data is available for Teaching, Educational Research, Academic Research or Limited Internal Business Use only.
Use Constraints
The data is available for Teaching, Educational Research, Academic
Research or Limited Internal Business Use only. For more information, please see Digimap's Term of Use statement: http://edina.ac.uk/digimap/terms.shtml. Ancillary Keywords
Originating Center
Data Center
Personnel
Publications/References
Nelson, E.J., Jones, N.L. Reducing elevation roundoff errors in
digital elevation models. Journal of hydrology. JUL 01 1995 v 169 p. 37 Robinson, G.J. The Accuracy Of Digital Elevation Models Derived From Digitised Contour Data. The Photogrammetric record. APR 01 1994 v 14 n 83 p. 805 Creation and Review Dates
Last DIF Revision Date:
2005-09-29
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