Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 531975
Title Kenya public weather processed by the Global Yield Gap Atlas project
Author(s) Groot, Hugo de; Adimo, Ochieng; Claessens, Lieven; Wart, Justin Van; Bussel, Lenny G.J. van; Grassini, Patricio; Wolf, Joost; Guilpart, Nicolas; Boogaard, Hendrik; Oort, Pepijn A.J. van; Yang, Haishun S.; Ittersum, Martin K. van; Cassman, Kenneth G.
Source ODjAR : open data journal for agricultural research 3 (2017). - ISSN 2352-6378 - p. 16 - 18.
Department(s) Alterra - Earth informatics
PE&RC
Soil Geography and Landscape
Environmental Systems Analysis Group
Plant Production Systems
Crop and Weed Ecology
Publication type Refereed Article in a scientific journal
Publication year 2017
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.
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