Quantifying heat vs. drought-induced yield decline of German cropping systems and the mitigating potential of irrigation
Abstract (englisch):
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.
| Zugehörige Institution(en) am KIT | Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU) |
| Publikationstyp | Forschungsdaten |
| Publikationsdatum | 22.06.2026 |
| Erstellungsdatum | 01.10.2025 - 05.05.2026 |
| Identifikator | DOI: 10.35097/gcxbhp7e5xn4eaey KITopen-ID: 1000194491 |
| Lizenz | Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International |
| Schlagwörter | Germany, heat stress, drought stress, irrigation, extreme events |
| Liesmich | GS suffixes: DEnodrought means drought stress is not restricting plant growth DEnoheat.. means heat stress is not restricting plant growth DEnostress.. means that neither heat nor droughtstress are restricting plant growth DEirri005 means that theta for irrigation was set to 0.05 -> ~ half mitigation scenario DEirri015 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 |
| Art der Forschungsdaten | Dataset |
| Globale Ziele für nachhaltige Entwicklung |