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...
| Autores principales: | , , , , |
|---|---|
| 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 |
Ejemplares similares: CCAFS-CMIP5 Delta Method Downscaling for monthly averages and bioclimatic indices of four RCPs
- High-resolution and bias-corrected CMIP5 projections for climate change impact assessments
- Thermal bioclimatic transformations in the coastal regions of Ganges delta: insights from CMIP6 multi-model ensemble
- Downscaling Global Circulation Model Outputs: The Delta Method Decision and Policy Analysis Working Paper No. 1
- Average monthly coffee prices
- Downscaling of GCM for it's use in agriculture and NRM research
- Abbreviations used in CCAFS climate