Multimodel ensembles of wheat growth: many models are better than one.

Martre, Pierre; Wallach, Daniel; Asseng, Senthold; Ewert, Frank; W Jones, James; P Rötter, Reimund; J Boote, Kenneth; C Ruane, Alex; J Thorburn, Peter; Cammarano, Davide; L Hatfield, Jerry; Rosenzweig, Cynthia; K Aggarwal, Pramod; Angulo, Carlos; Basso, Bruno; Bertuzzi, Patrick; Biernath, Christian; Brisson, Nadine; J Challinor, Andrew; Doltra, Jordi; Gayler, Sebastian; Goldberg, Richie; F Grant, Robert; Heng, Lee; Hooker, Josh; A Hunt, Leslie; Ingwersen, Joachim; C Izaurralde, Roberto; Christian Kersebaum, Kurt; Müller, Christoph; Naresh Kumar, Soora; Nendel, Claas; O'leary, Garry; E Olesen, Jørgen; M Osborne, Tom; Palosuo, Taru; Priesack, Eckart; Ripoche, Dominique; A Semenov, Mikhail; Shcherbak, Iurii; Steduto, Pasquale; O Stöckle, Claudio; Stratonovitch, Pierre; Streck, Thilo; Supit, Iwan; Tao, Fulu; Travasso, Maria; Waha, Katharina; W White, Jeffrey; Wolf, Joost

doi:10.1111/gcb.12768

Public

Multimodel ensembles of wheat growth: many models are better than one.

Shared by NobleBlocks on Feb 1, 2015 • 12:00 AM UTC

Authors:

Pierre Martre

Daniel Wallach

Senthold Asseng

Abstract

Crop models of crop growth are increasingly used to quantify the impact of global changes due to climate or crop management. Therefore, accuracy of simulation results is a major concern. Studies with ensembles of crop models can give valuable information about model accuracy and uncertainty, but suc...

Subject

ecophysiological model

ensemble modeling

model intercomparison

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!