Kenya public weather processed by the Global Yield Gap Atlas project

A revised version of this dataset has been published: https://doi.org/10.17026/dans-zyu-xkhc. The files of this dataset are therefore no longer accessible.

This dataset contains the underlying data for the study: Kenya public weather processed by the Global Yield Gap Atlas project. Open Journal for Agricultural Research : ODjAR.

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. (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 weather data for 10 locations in Kenya. 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 weather data from a combination of observed and other external weather data. One locations holds actually measured weather data, the other 9 locations show propagated weather data. The propagated weather data consist on TRMM rain data (or NASA POWER if TRMM is not available) and NASA POWER Tmax, Tmin, and Tdew data corrected based on calibrations with short-term (<10 years) observed weather data. sources (Van Wart et.al. 2015).

Identifier
DOI https://doi.org/10.17026/dans-xc8-3a2q
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-j5wj-kh
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:63168
Provenance
Creator Groot, H.L.E. de; Adimo, O.; Claessens, L.; Wart, J. van; Bussel, L.G.J. van; Grassini, P.; Wolf, J.; Guilpart, N.; Boogaard, H.L.; Oort, P.A.J. van; Yang, H.S.; Ittersum, M.K. van; Cassman, K.G.
Publisher Wageningen UR (WUR)
Publication Year 2016
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format Excel; csv; Word docx; txt
Discipline Life Sciences; Medicine
Spatial Coverage Kenya