Datenpaket: Quantifying heat vs. drought-induced yield decline of German cropping systems and the mitigating potential of irrigation

This dataset contains simulated crop yields for wheat and maize under heat stress, drought stress, and unstressed and irrigated conditions across Germany (2012–2023), generated using the process-based ecosystem model LandscapeDNDC.
The data were produced through a two-step calibration procedure optimizing key growth parameters for both crops, and include district-level yield estimates. The dataset enables assessment of the relative contributions of heat and drought stress to crop yield variability and supports climate impact studies for Central European agriculture. All data are provided in standardized CSV and NetCDF formats with full metadata documentation. The dataset is freely available and intended for reuse in agricultural modeling, climate risk assessment, and related research applications.

GS suffixes:
DE_default_ stands for standard stress routine - all stresses enabled
DE_nodrought_ means drought stress is not restricting plant growth
DE_noheat_.. means heat stress is not restricting plant growth
DE_nostress_.. means that neither heat nor droughtstress are restricting plant growth
DE_irri005_ means that theta for irrigation was set to 0.05 -> ~ half mitigation scenario
DE_irri015_ means that theta for irrigation was set to 0.15 -> full drought mitigation scenario
Xheatmultisite stands for calibration parameters from the multisite calibration
suffix parameter setup
_best 5th best parameter set for wheat, "6th" best for maize (actually 5th best of the "old" version)
_c1 1st best parameter set of both wheat and maize
_c2 2nd best parameter set of both wheat and maize
_c3 3rd best parameter set of both wheat and maize
_c4 4th best parameter set of both wheat and maize
_c5 5th best parameter set of both wheat and maize
_wlogging
site_list_Germany_Landkreis_Nstie_fixed_50_nrep0.csv links the data to districts.