Data and code: Sensitivity of a Sahelian groundwater-based agroforestry system to tree density and water availability using the land surface model ORCHIDEE (r7949)
收藏资源简介:
This repository contains the climate input data, model output data, and code used in the paper titled "Sensitivity of a Sahelian groundwater-based agroforestry system to tree density and water availability using the land surface model ORCHIDEE (r7949)". Files Description: CO2_1700_2022_TRENDYv2023: Atmospheric CO2 concentration in ppm from 1700 to 2023. crujra_twdeg_v2.2.2_1901_1962: CRUJRA dataset used for model spin-up and the first transient simulation (1901-1962). corrected_crujra_twodeg_v2.2.2_1963_2020: Corrected CRUJRA dataset for the Faidherbia-Flux observatory site, used for the second transient simulation (1963-2020). in_situ_data_Faidherbia_Flux_2018_2023: In-situ climate dataset from the Faidherbia-Flux observatory (2018-2023) used for model calibration and evaluation. Rain_avg_2019-2021: Climate dataset used to analyze the effect of year-to-year rainfall fluctuations on gross primary productivity and energy fluxes. ORCHIDEE_Faidherbia_Flux: Contains the scripts, ORCHIDEE model output data, and the observations dataset. Note: Before use, replace the placeholder paths in the provided notebooks with your local file paths and ensure all necessary R and Python packages are installed in your environment.



