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Ruane, A.C.* ; Hudson, N.I.* ; Asseng, S.* ; Camarrano, D.* ; Ewert, F.* ; Martre, P.* ; Boote, K.J.* ; Thorburn, P.J.* ; Aggarwal, P.K.* ; Angulo, C.* ; Basso, B.* ; Bertuzzi, P.* ; Biernath, C.J. ; Brisson, N.* ; Challinor, A.J.* ; Doltra, J.* ; Gayler, S.* ; Goldberg, R.* ; Grant, R.F.* ; Heng, L.* ; Hooker, J.* ; Hunt, L.A.* ; Ingwersen, J.* ; Izaurralde, R.C.* ; Kersebaum, K.C.* ; Kumar, S.N.* ; Müller, C.* ; Nendel, C.* ; O'Leary, G.* ; Olesen, J.E.* ; Osborne, T.M.* ; Palosuo, T.* ; Priesack, E. ; Ripoche, D.* ; Rötter, R.P.* ; Semenov, M.A.* ; Shcherbak, I.* ; Steduto, P.* ; Stöckle, C.O.* ; Stratonovitch, P.* ; Streck,T.* ; Supit, I.* ; Tao, F.* ; Travasso, M.* ; Waha, K.* ; Wallach, D.* ; White, J.W.* ; Wolf, J.*

Multi-wheat-model ensemble responses to interannual climate variability.

Environ. Modell. Softw. 81, 86-101 (2016)
Postprint DOI
Open Access Green
We compare 27 wheat models' yield responses to interannual climate variability, analyzed at locations in Argentina, Australia, India, and The Netherlands as part of the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Pilot. Each model simulated 1981-2010 grain yield, and we evaluate results against the interannual variability of growing season temperature, precipitation, and solar radiation. The amount of information used for calibration has only a minor effect on most models' climate response, and even small multi-model ensembles prove beneficial. Wheat model clusters reveal common characteristics of yield response to climate; however models rarely share the same cluster at all four sites indicating substantial independence. Only a weak relationship (R2 ≤ 0.24) was found between the models' sensitivities to interannual temperature variability and their response to long-term warming, suggesting that additional processes differentiate climate change impacts from observed climate variability analogs and motivating continuing analysis and model development efforts.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Agmip ; Climate Impacts ; Crop Modeling ; Interannual Variability ; Multi-model Ensemble ; Precipitation ; Temperature ; Uncertainty ; Wheat; Simulation-model; Crop Model; Nitrogen Dynamics; Winter-wheat; Large-area; Systems Simulation; Farming Systems; Yield Response; Growth; Water
Sprache
Veröffentlichungsjahr 2016
HGF-Berichtsjahr 2016
ISSN (print) / ISBN 1364-8152
e-ISSN 1873-6726
Zeitschrift Environmental Modelling and Software
Quellenangaben Band: 81, Heft: , Seiten: 86-101 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Oxford
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Environmental Simulation (EUS)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Environmental Sciences
PSP-Element(e) G-504912-001
DOI 10.1016/j.envsoft.2016.03.008
WOS ID WOS:000377729100008
Scopus ID 84961956344
Erfassungsdatum 2016-04-13
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