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

doi:10.26050/WDCC/CCAFS-CMIP5_downscaling

Navarro Racines, Carlos Eduardo et al.

ExperimentDOI
Summary
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.
Project
CCAFS-CMIP5_Downscales (Delta method downscaled CMIP5 database)
Contact
Carlos Eduardo Navarro Racines (
 c.e.navarro@nullcgiar.org
0000-0002-8692-6431)
Spatial Coverage
Longitude -180 to 180 Latitude -60 to 90
Temporal Coverage
2020-01-01 to 2099-12-31 (standard)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
6.21 TiB (6826309928877 Byte)
Format
ESRIarcinfoGrid.ascii.zip
Status
completely archived
Creation Date
Future Review Date
2029-02-20
Cite as
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

BibTeX RIS
[Entry acronym: CCAFS-CMIP5_downscaling] [Entry id: 3845775]
Description
resolutions: 10, 5, 2.5, 0.5 geographical arc min
Result Date
2019-03-22
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2019-03-22
Contact typePersonORCIDInstitute
Contact Carlos Eduardo Navarro Racines 0000-0002-8692-6431International Center for Tropical Agriculture
Author Carlos Eduardo Navarro Racines 0000-0002-8692-6431International Center for Tropical Agriculture
Author Jaime Eduardo Tarapues Montenegro-International Center for Tropical Agriculture
Author Philip Thornton-International Livestock Research Institute
Author Andy Jarvis 0000-0001-6543-0798International Center for Tropical Agriculture
Author Julian Ramirez Villegas 0000-0002-8044-583XInternational Center for Tropical Agriculture
Investigator Julian Ramirez Villegas 0000-0002-8044-583XInternational Center for Tropical Agriculture
Metadata Carlos Eduardo Navarro Racines 0000-0002-8692-6431International Center for Tropical Agriculture

Is referenced by

[1] DOI Navarro-Racines, Carlos; Tarapues, Jaime; Thornton, Philip; Jarvis, Andy; Ramirez-Villegas, Julian. (1900). High-resolution and bias-corrected CMIP5 projections for climate change impact assessments. doi:10.1038/s41597-019-0343-8

Attached Dataset Groups (2)

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