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

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Pages (from-to)16-18
JournalODjAR : open data journal for agricultural research
Volume3
DOIs
Publication statusPublished - 1 Feb 2017

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de Groot, Hugo ; Adimo, Ochieng ; Claessens, Lieven ; Van Wart, Justin ; van Bussel, Lenny G.J. ; Grassini, Patricio ; Wolf, Joost ; Guilpart, Nicolas ; Boogaard, Hendrik ; van Oort, Pepijn A.J. ; Yang, Haishun S. ; van Ittersum, Martin K. ; Cassman, Kenneth G. / Kenya public weather processed by the Global Yield Gap Atlas project. In: ODjAR : open data journal for agricultural research. 2017 ; Vol. 3. pp. 16-18.
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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.",
author = "{de Groot}, Hugo and Ochieng Adimo and Lieven Claessens and {Van Wart}, Justin and {van Bussel}, {Lenny G.J.} and Patricio Grassini and Joost Wolf and Nicolas Guilpart and Hendrik Boogaard and {van Oort}, {Pepijn A.J.} and Yang, {Haishun S.} and {van Ittersum}, {Martin K.} and Cassman, {Kenneth G.}",
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Kenya public weather processed by the Global Yield Gap Atlas project. / de Groot, Hugo; Adimo, Ochieng; Claessens, Lieven; Van Wart, Justin; van Bussel, Lenny G.J.; Grassini, Patricio; Wolf, Joost; Guilpart, Nicolas; Boogaard, Hendrik; van Oort, Pepijn A.J.; Yang, Haishun S.; van Ittersum, Martin K.; Cassman, Kenneth G.

In: ODjAR : open data journal for agricultural research, Vol. 3, 01.02.2017, p. 16-18.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Grassini, Patricio

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AU - van Oort, Pepijn A.J.

AU - Yang, Haishun S.

AU - van Ittersum, Martin K.

AU - Cassman, Kenneth G.

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