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.

Detalles Bibliográficos
Autor principal: CGIAR Platform for Big Data in Agriculture
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2019
Materias:
Acceso en línea:https://hdl.handle.net/10568/122953
Descripción
Sumario: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.