Developing high-quality meteorological data for East and West Africa from merged sources
Assessments of agricultural productivity and food security require process-based crop models to provide predictions of yields and diagnose past variations in the context of anthropogenic and climate factors. These models need detailed meteorological data as input, including precipitation, temperatur...
| Autores principales: | , |
|---|---|
| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2013
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/33519 |
Ejemplares similares: Developing high-quality meteorological data for East and West Africa from merged sources
- Enhancing ANACIM High-Resolution Merged Historical Datasets by Generating Additional Meteorological Parameters
- Informe final. Monitoreo y seguimiento de nieblas con instrumentos de bajo costo
- Climate Data Tools (CDT) and Automatic Weather Station Data Tool (ADT) Training for the Kenya Meteorological Department (KMD)
- Uso de pluviómetro, termómetro y pluviógrafo para observadores de estaciones convencionales
- Report on Climate Bulletin Automation of the Ethiopian Meteorological Institute
- Advanced Climate Data Tool (CDT) Training and Automatic Weather Station Data Tool (ADT) Part II for Kenya Meteorological Department (KMD)