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Delta method downscaling programming language scripts

Version 4 2018-09-19, 16:38
Version 3 2017-07-24, 19:06
Version 2 2017-07-24, 16:09
Version 1 2017-07-24, 16:03
posted on 2018-09-19, 16:38 authored by Carlos Navarro-RacinesCarlos Navarro-Racines, Jaime Tarapues-Montenegro, Edward Guevara, Robert Hijmans, Andy Jarvis, Julián Ramírez-Villegas

The source stored here represent the routines to a apply the statistical downscaling approach called Delta Method. We use this R and ArcInfo Macro Language (AML) scripts backing to develop a high resolution global database available at the World Data Center for Climate (WDCC; on future climate change scenarios. The data can be used for crop modeling, niche modeling, and more generally, for assessing impacts of climate change on agriculture at fine scales. The method requires monthly maximum, minimum, mean temperatures and monthly total precipitation (from which a set of bioclimatic indices were also derived). This database (with a total of 436 different scenarios, sum of 26, 31, 19 and 33 GCMs, times 4 time-slices, at 30 arc-seconds spatial resolution) complements other existing databases that also use downscaling but are only available either for a limited set of GCMs, time-slices, regions, or for variables or at coarser resolution.

The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and its partners have created these programming language scripts. This work is licensed under a Creative Commons Atribution 4.0 International (CC BY 4.0). Users should acknowledge CCAFS as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set.


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