MoriceROOdhiambo/Generated-centennial-weather-data-for-Maktau-Kenya

Domaine:

agricultureclimate

Type de record:

dataset

Créateur:

Mor

Hôte:

100 years generated weather data for Maktua used in the paper: Evaluating AquaCrop yield predictions against measured data and simulated rainfall variability in rainfed semi-arid agrosystems in Kenya ******************************************************************************** Generated centennial weather data for Maktau Kenya ******************************************************************************** Paper Title: Evaluating AquaCrop yield predictions against measured data and simulated rainfall variability in rainfed semi-arid agrosystems in Kenya Authors: Morice R. O. Odhiambo, Juuso Tuure, Janne Heiskanen, Sheila Wachiye, Kevin Z. Mganga, Pirjo S. A. Mäkelä, Laura Alakukku, Petri Pellikka, Matti Räsänen Corresponding Author: Morice R. O. Odhiambo Contact Information: morice.odhiambo@helsinki.fi Date: 01/01/2026 ******************************************************************************** Dataset Overview: ******************************************************************************** This dataset contains the 100-year simulated weather data for Maktau in Kenya. The stochastic weather generator Long Ashton Research Station Weather Generator (LARS-WG) version 8.0 (Semenov et al., 2002, Semenov, 2024) was used to generate the weather data for the baseline period of 2013–2024. The data was a daily time-series for precipitation (mm), maximum and minimum temperature (°C) and solar radiation (MJ/m²/day⁻¹). The data was applied in the AquaCrop-OSPy—the open-source python implementation of AquaCrop model (Kelly and Foster, 2021) to simulate maize yields, crop evapotranspiration and plant–available soil water, inorder to deepen our understanding of the interactions between rainfall variability, plant–available soil water and maize yields. ******************************************************************************** Dataset Contents: ******************************************************************************** 1. Raw Simulated Weather Data **Simulated Weather Data** The data is labeled as follows: - `year` – Year for the growing season - `jday` – Julian day/Day of the Year (DOY) - `tmin`: Minimum temperature (°C) - `tmax`: Maximum temperature ( …

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