globalchange  > 全球变化的国际研究计划
Title:
Projected Future LOCA Statistical Downscaling (Localized Constructed Analogs) Statistically downscaled CMIP5 climate projections for North America
Author: GCIS
Publisher: GCIS
Publishing Year: 2016
Language: 英语
Country Filed: 美国
Subject Area: 全球变化
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/
Document Type: 科学数据
Identifier: http://119.78.100.158/handle/2HF3EXSE/117589
Appears in Collections:全球变化的国际研究计划

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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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