Daily bias-corrected weather data and daily simulated growth data of maize, millet, sorghum, and wheat in the changing climate of sub-Saharan Africa

Published: 16 April 2024| Version 2 | DOI: 10.17632/7s4frszjmz.2
Contributors:
SeyyedMajid Alimagham,
,
,
,

Description

The dataset described includes second bias corrected daily weather data using ground-based weather data and simulated crop growth data under potential and water-limited potential conditions for 109 sites across ten countries in SSA including Burkina Faso, Ghana, Mali, Niger, Nigeria, Ethiopia, Kenya, Tanzania, Uganda, and Zambia. Whereas the weather data covers all sites, the simulated growth data for the four crops (maize, millet, sorghum, wheat) covers subsets of the sites depending on the geographic distribution of cultivation areas for the given crop. The stations can represent 65% of the harvested area for maize, 90% for millet, 83% for sorghum, and 59% for wheat the four crops together can represent 72% of the total harvested area in those countries. The data covers three time periods: historical (1995-2014), 2030 (2020-2039), and 2050 (2040-2059).

Files

Institutions

Wageningen Universiteit en Research

Categories

Climate Change, Crop Simulation Model, Weather Data

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

SEP2019/2(18444)

Licence