Title: | Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America |
Author: | GCIS
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Publisher: | GCIS
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Publishing Year: | 2016
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Language: | 英语
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Country Filed: | 美国
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Subject Area: | 全球变化
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English Abstract: | 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. |
Related Link: | http://loca.ucsd.edu/
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Document Type: | 科学数据
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Identifier: | http://119.78.100.158/handle/2HF3EXSE/117589
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Appears in Collections: | 全球变化的国际研究计划
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Recommended Citation: |
GCIS. Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America .GCIS. 2016-01-01.
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