Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya
We developed an algorithm which can process the raw CMLs data and generate quantitative precipitation estimates at any given point in space. We support the reliability of this approach and show the advantages of this approach compared with rain gauges and CHIRPS using real data in Kenya.
| Autor principal: | |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122953 |
Ejemplares similares: Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya
- Simple IoT rain gauges are positioned to be a gamechanger in helping farmers manage agricultural risk
- Effect of rainfall variability and gauge representativeness on satellite rainfall accuracy in a small upland watershed in southern Ethiopia
- Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River Basin
- 1 farmer, 1 loan, 1 IoT raingauge: piloting the industrialization of recyclable, $50 connected rain gauges in Africa
- Accuracy of satellite and reanalysis rainfall estimates over Africa: a multi-scale assessment of eight products for continental applications
- Red de pluviómetros de productores de los llanos de La Rioja