Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America

Metadata Updated: July 9, 2019

LOCA is a statistical downscaling technique that uses past history to add improved fine-scale detail to global climate models. We have used LOCA to downscale 32 global climate models from the CMIP5 archive at a 1/16th degree spatial resolution, covering North America from central Mexico through Southern Canada. The historical period is 1950-2005, and there are two future scenarios available: RCP 4.5 and RCP 8.5 over the period 2006-2100 (although some models stop in 2099). The variables currently available are daily minimum and maximum temperature, and daily precipitation. For more information visit: http://loca.ucsd.edu/

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License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Date July 26, 2016
Metadata Created Date May 1, 2019
Metadata Updated Date July 9, 2019
Reference Date(s) June 1, 2016 (issued), May 27, 2016 (revision)
Frequency Of Update
Frequency Of Update

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Harvested from DOI CKAN Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Date July 26, 2016
Metadata Created Date May 1, 2019
Metadata Updated Date July 9, 2019
Reference Date(s) June 1, 2016 (issued), May 27, 2016 (revision)
Responsible Party (Point of Contact)
Contact Email
Access Constraints
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Bbox North Lat 53.96875
Bbox South Lat 23.40625
Bbox West Long -125
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Frequency Of Update
Guid 5797a8d6e4b0858db36ef6ce
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Harvest Source Id 34ce571b-cb98-4e0b-979f-30f9ecc452c5
Harvest Source Title DOI CKAN Harvest Source
Licence
Metadata Language eng
Metadata Type geospatial
Progress
Spatial Data Service Type THREDDS OPeNDAP
Spatial Reference System
Spatial Harvester true
Temporal Extent Begin 1950-01-01T12:00:00Z
Temporal Extent End 2100-12-31T12:00:00Z

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