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.

Bibliographic Details
Main Author: CGIAR Platform for Big Data in Agriculture
Format: Informe técnico
Language:Inglés
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10568/122953
Description
Summary: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.