Kenya public weather processed by the Global Yield Gap Atlas project

Hugo de Groot*, Ochieng Adimo, Lieven Claessens, Justin Van Wart, Lenny G.J. van Bussel, Patricio Grassini, Joost Wolf, Nicolas Guilpart, Hendrik Boogaard, Pepijn A.J. van Oort, Haishun S. Yang, Martin K. van Ittersum, Kenneth G. Cassman

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


The Global Yield Gap Atlas project (GYGA - 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.
Original languageEnglish
Pages (from-to)16-18
JournalODjAR : open data journal for agricultural research
Publication statusPublished - 1 Feb 2017


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