Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions
Downscaling techniques aim at resolving the scale discrepancy between climate change scenarios and the resolution demanded for impact assessments. Requirements for downscaled climate, to be useful for end users, include reliable representation of precipitation intensities, temporal and spatial varia...
| Autores principales: | , , , , , , , , , , , , |
|---|---|
| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2012
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/21724 |
Ejemplares similares: Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions
- Spatial random downscaling of rainfall signals in Andean heterogeneous terrain
- Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data
- Generating characteristic daily weather data using downscaled climate model data from the IPCC's fourth assessment
- TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis
- Improving daily rainfall estimation from NDVI using wavelet transform
- Multifractal downscaling of rainfall using Normalized Difference Vegetation Index (NDVI) in the Andes Plateau