Mora2026-YieldModellingAttribution

Project information

Statistical yield modelling and climate change impact attribution analysis described in Camille J. Mora, Kilian Kuhla, Paula Romanovska, Miranda Svanidze, Elisabeth Vogel, Lisa V. Alexander, Arunima Malik, Matthew O. Grant, Christoph Gornott, Christian Otto, and Sabine Undorf (in review). Attributing global food security impacts to anthropogenic climate change and trade policy: The 2010 Russian wheat failure.

Copyright (c) 2026 Sabine Undorf, PIK and Trier University This source code is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). You may not use this file except in compliance with the License. You may obtain a copy of the License at: https://creativecommons.org CITATION REQUIREMENT: If you use this code or derivatives of it in any academic publication, you MUST cite the following paper: Camille J. Mora, Kilian Kuhla, Paula Romanovska, Miranda Svanidze, Elisabeth Vogel, Lisa V. Alexander, Arunima Malik, Matthew O. Grant, Christoph Gornott, Christian Otto, and Sabine Undorf (in review). Attributing global food security impacts to anthropogenic climate change and trade policy: The 2010 Russian wheat failure THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

climate change agriculture PIK Uni Trier yield modelling extremes