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: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/122953 |
| _version_ | 1855534484140589056 |
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| author | CGIAR Platform for Big Data in Agriculture |
| author_browse | CGIAR Platform for Big Data in Agriculture |
| author_facet | CGIAR Platform for Big Data in Agriculture |
| author_sort | CGIAR Platform for Big Data in Agriculture |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Informe técnico |
| id | CGSpace122953 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1229532023-03-14T12:13:44Z Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya CGIAR Platform for Big Data in Agriculture development rain rural development data precipitation systems rainfall agrifood systems rain gauges gauges 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. 2019-12-31 2022-10-06T14:14:38Z 2022-10-06T14:14:38Z Report https://hdl.handle.net/10568/122953 en Open Access application/pdf CGIAR Platform for Big Data in Agriculture. 2019. Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya. Reported in Platform for Big Data in Agriculture Annual Report 2019. Innovations. |
| spellingShingle | development rain rural development data precipitation systems rainfall agrifood systems rain gauges gauges CGIAR Platform for Big Data in Agriculture Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya |
| title | Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya |
| title_full | Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya |
| title_fullStr | Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya |
| title_full_unstemmed | Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya |
| title_short | Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya |
| title_sort | use of commercial microwave links cmls in estimating rainfall in kenya |
| topic | development rain rural development data precipitation systems rainfall agrifood systems rain gauges gauges |
| url | https://hdl.handle.net/10568/122953 |
| work_keys_str_mv | AT cgiarplatformforbigdatainagriculture useofcommercialmicrowavelinkscmlsinestimatingrainfallinkenya |