Intermediate, processed data for study: "Global gridded crop models systematically underestimate yield losses from climatic extremes"

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Kobe De Maeyer, Cornelia Auer
DOI: 10.5281/zenodo.18496259
Cited by: 0

Abstract

Data that can be used to reproduce the results from the study "Global gridded crop models systematically underestimate yield losses from climatic extremes".

Fields of Study & Subjects

Climate change impacts on agriculture Climate variability and models Remote Sensing in Agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Document type
Dataset