CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs

We developed a global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. To develop the dataset, we applied the delta method, which comprises the sum of interpolated anomalies of each GCM to the WorldClim 1-km spatia...

Descripción completa

Detalles Bibliográficos
Autores principales: Navarro Racines, Carlos Eduardo, Tarapues Montenegro, Jaime Eduardo, Thornton, Philip K., Jarvis, Andy, Ramírez Villegas, Julián Armando
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: World Data Center for Climate (WDCC) at DKRZ 2019
Acceso en línea:https://hdl.handle.net/10568/100682
_version_ 1855539196058402816
author Navarro Racines, Carlos Eduardo
Tarapues Montenegro, Jaime Eduardo
Thornton, Philip K.
Jarvis, Andy
Ramírez Villegas, Julián Armando
author_browse Jarvis, Andy
Navarro Racines, Carlos Eduardo
Ramírez Villegas, Julián Armando
Tarapues Montenegro, Jaime Eduardo
Thornton, Philip K.
author_facet Navarro Racines, Carlos Eduardo
Tarapues Montenegro, Jaime Eduardo
Thornton, Philip K.
Jarvis, Andy
Ramírez Villegas, Julián Armando
author_sort Navarro Racines, Carlos Eduardo
collection Repository of Agricultural Research Outputs (CGSpace)
description We developed a global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. To develop the dataset, we applied the delta method, which comprises the sum of interpolated anomalies of each GCM to the WorldClim 1-km spatial resolution dataset. The GCMs were the 35 Coupled Model Intercomparison Project Phase 5 (CMIP5) models, for four representative concentrations pathways (RCPs). For each of these, we used the 30-year future periods named as 2030s (mean of 2020-2049), 2050s (2040-2069), 2070s (2060-2089) and 2080s (2070-2099) with three climate variables (mean monthly maximum and minimum temperatures and monthly rainfall). From these, we also derive a set of bioclimatic indices.
format Conjunto de datos
id CGSpace100682
institution CGIAR Consortium
language Inglés
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher World Data Center for Climate (WDCC) at DKRZ
publisherStr World Data Center for Climate (WDCC) at DKRZ
record_format dspace
spelling CGSpace1006822025-03-13T09:45:24Z CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs Navarro Racines, Carlos Eduardo Tarapues Montenegro, Jaime Eduardo Thornton, Philip K. Jarvis, Andy Ramírez Villegas, Julián Armando We developed a global dataset of downscaled future projections developed by applying a statistical method for climate model downscaling and bias correction. To develop the dataset, we applied the delta method, which comprises the sum of interpolated anomalies of each GCM to the WorldClim 1-km spatial resolution dataset. The GCMs were the 35 Coupled Model Intercomparison Project Phase 5 (CMIP5) models, for four representative concentrations pathways (RCPs). For each of these, we used the 30-year future periods named as 2030s (mean of 2020-2049), 2050s (2040-2069), 2070s (2060-2089) and 2080s (2070-2099) with three climate variables (mean monthly maximum and minimum temperatures and monthly rainfall). From these, we also derive a set of bioclimatic indices. 2019 2019-04-04T13:05:21Z 2019-04-04T13:05:21Z Dataset https://hdl.handle.net/10568/100682 en Open Access World Data Center for Climate (WDCC) at DKRZ Navarro Racines, Carlos Eduardo; Tarapues Montenegro, Jaime Eduardo; Thornton, Philip; Jarvis, Andy; Ramirez Villegas, Julian (2019). CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/CCAFS-CMIP5_downscaling
spellingShingle Navarro Racines, Carlos Eduardo
Tarapues Montenegro, Jaime Eduardo
Thornton, Philip K.
Jarvis, Andy
Ramírez Villegas, Julián Armando
CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
title CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
title_full CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
title_fullStr CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
title_full_unstemmed CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
title_short CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
title_sort ccafs cmip5 delta method downscaling for monthly averages and bioclimatic indices of four rcps
url https://hdl.handle.net/10568/100682
work_keys_str_mv AT navarroracinescarloseduardo ccafscmip5deltamethoddownscalingformonthlyaveragesandbioclimaticindicesoffourrcps
AT tarapuesmontenegrojaimeeduardo ccafscmip5deltamethoddownscalingformonthlyaveragesandbioclimaticindicesoffourrcps
AT thorntonphilipk ccafscmip5deltamethoddownscalingformonthlyaveragesandbioclimaticindicesoffourrcps
AT jarvisandy ccafscmip5deltamethoddownscalingformonthlyaveragesandbioclimaticindicesoffourrcps
AT ramirezvillegasjulianarmando ccafscmip5deltamethoddownscalingformonthlyaveragesandbioclimaticindicesoffourrcps