Groot, H D and Adimo, O and Claessens, L and Wart, J V and van Bussel, L G J and Grassini, P and Wolf, J and Guilpart, N and Boogaard, H and van Oort, P A J and Yang, H S and van Ittersum, M K and Cassman, K G (2017) Kenya public weather processed by the Global Yield Gap Atlas project. Open Data Journal for Agricultural Research, 3. pp. 16-18. ISSN 2352-6378
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Abstract
The Global Yield Gap Atlas project (GYGA - http://yieldgap.org) has undertaken a yield gap assessment following the protocol recommended by van Ittersum et al. (2013). One part of the activities consists of collecting and processing weather data as an input for crop simulation models in sub-Saharan African countries including Kenya. This publication covers daily weather data for 12 locations in Kenya for the years 1998-2012. The project looked for good quality weather data in areas where crops are pre-dominantly grown. As locations with good public weather data are sparse in Africa, the project developed a method to generate bias corrected weather data from a combination of observed data and other external weather data. The bias corrected weather data consist of daily TRMM rain data and NASA POWER Tmax, Tmin, and Tdew data. These data are corrected based on calibrations with short-term (<10 years) observed weather data.
| Item Type: | Article |
|---|---|
| Divisions: | Research Program : East & Southern Africa |
| CRP: | CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) |
| Uncontrolled Keywords: | Kenya; weather data; crop simulation model; yield gap; crop yield; yield potential |
| Subjects: | Others > Kenya |
| Depositing User: | Mr Ramesh K |
| Date Deposited: | 18 Apr 2017 09:48 |
| Last Modified: | 18 Apr 2017 09:48 |
| URI: | http://oar.icrisat.org/id/eprint/9968 |
| Official URL: | http://dx.doi.org/10.18174/odjar.v3i1.15018 |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | UNSPECIFIED |
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