Pan-European multi- crop model ensemble projections of climate change impact on wheat and grain maize

A - Papers appearing in refereed journals

Webber, H., Cooke, D., Ewert, F., Olesen, J. E., Fronzek, S., Ruane, A. C., Martre, P., Collins, B., Bindi, M., Ferrise, R., Fodor, N., Gabaldon-Leal, C., Gaiser, T., Jabloun, M., Kersebaum, K.-C., Lizaso, J. I., Lorite, I. J., Manceau, L., Moriondo, M., Nendel, C., Rodriguez, A., Ruiz-Ramos, M., Semenov, M. A., Stella, T., Stratonovitch, P. and Trombi, G. 2020. Pan-European multi- crop model ensemble projections of climate change impact on wheat and grain maize . Open Data Journal for Agricultural Research (ODjAR). 6, pp. 21-27. https://doi.org/10.18174/odjar.v6i0.16326

AuthorsWebber, H., Cooke, D., Ewert, F., Olesen, J. E., Fronzek, S., Ruane, A. C., Martre, P., Collins, B., Bindi, M., Ferrise, R., Fodor, N., Gabaldon-Leal, C., Gaiser, T., Jabloun, M., Kersebaum, K.-C., Lizaso, J. I., Lorite, I. J., Manceau, L., Moriondo, M., Nendel, C., Rodriguez, A., Ruiz-Ramos, M., Semenov, M. A., Stella, T., Stratonovitch, P. and Trombi, G.
Abstract

The simulated data set described in this paper was created with an ensemble of nine different crop models: HERMES (HE), Simplace<Lintul5,Slim3, FAO-56 ET0> (L5), SiriusQuality (SQ), MONICA (MO), Sirius2014 (S2), FASSET (FA), 4M (4M), SSM (SS), DSSAT-CSM IXIM (IX). Simulations were performed for grain maize (six models) and winter wheat (eight models) under diverse conditions over agricultural land areas of the EU-27 at a 25 x 25 km spatial resolution. Simulations were drawn from combinations of three representative concentration pathways and climate outputs from five general circulation models for time periods 2040-2069 and 2070-2099. Historical climate data was the basis for simulation years 1980-2010 and considered as a baseline. Simulation results can be used to analyzecrop responses to changing climatic variables. This data paper describes the creation, motivation and format of the simulation results to enable reuse of the data set. It also offers some possible further uses of the dataset in other contexts.

KeywordsCrop modelling; Climate change impacts; European Union; Maize; Wheat; Heat stress; Drought
Year of Publication2020
JournalOpen Data Journal for Agricultural Research (ODjAR)
Journal citation6, pp. 21-27
Digital Object Identifier (DOI)https://doi.org/10.18174/odjar.v6i0.16326
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeDesigning Future Wheat - WP1 - Increased efficiency and sustainability
Publisher's version
Output statusPublished
Publication dates
Online31 Aug 2020
PublisherWageningen Academic Publishers

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