eprintid: 9968
rev_number: 13
eprint_status: archive
userid: 1305
dir: disk0/00/00/99/68
datestamp: 2017-04-18 09:48:40
lastmod: 2017-04-18 09:48:40
status_changed: 2017-04-18 09:48:40
type: article
metadata_visibility: show
creators_name: Groot, H D
creators_name: Adimo, O
creators_name: Claessens, L
creators_name: Wart, J V
creators_name: van Bussel, L G J
creators_name: Grassini, P
creators_name: Wolf, J
creators_name: Guilpart, N
creators_name: Boogaard, H
creators_name: van Oort, P A J
creators_name: Yang, H S
creators_name: van Ittersum, M K
creators_name: Cassman, K G
icrisatcreators_name: Claessens, L
affiliation: Wageningen Environmental Research (Alterra), Wageningen University and Research (Wageningen)
affiliation: Jomo Kenyatta University of Agriculture and Technology (Nairobi)
affiliation: ICRISAT (Nairobi)
affiliation: Department of Agronomy and Horticulture, University of Nebraska-Lincoln (Lincoln)
affiliation: Plant Production Systems, Wageningen University and Research (Wageningen)
affiliation: Centre for Crop Systems Analysis, Wageningen University and Research (Wageningen)
country: Netherlands
country: Kenya
country: USA
title: Kenya public weather processed by the Global Yield Gap Atlas project
ispublished: pub
subjects: s65
divisions: CRPS5
crps: crp1.11
full_text_status: public
keywords: Kenya; weather data; crop simulation model; yield gap; crop yield; yield potential
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.
date: 2017
date_type: published
publication: Open Data Journal for Agricultural Research
volume: 3
publisher: ODjAR
pagerange: 16-18
id_number: 10.18174/odjar.v3i1.15018
refereed: TRUE
issn: 2352-6378
official_url: http://dx.doi.org/10.18174/odjar.v3i1.15018
related_url_url: https://scholar.google.co.in/scholar?as_ylo=2017&q=Kenya+public+weather+processed+by+the+Global+Yield+Gap+Atlas+project&hl=en&as_sdt=0,5
related_url_type: pub
citation:   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     
document_url: http://oar.icrisat.org/9968/1/GrootEtAl1017ODJAR3.pdf