Reference : Systematic global gridded crop simulations for improved understanding of climate chan...
Scientific congresses and symposiums : Poster
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/227221
Systematic global gridded crop simulations for improved understanding of climate change impacts on agricultural productivity
English
Müller, Christoph []
Elliott, Joshua []
Dury, Marie mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques >]
François, Louis mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques >]
Folberth, Christian []
Iizumi, Toshichika []
Izaurralde, Cesar []
Liu, Wenfeng []
Reddy, Ashwan []
Sakurai, Gen []
Wang, Xuhui []
Zabel, Florian []
27-Mar-2017
No
No
International
2nd Agriculture and Climate Change Conference
du 26 mars au 28 mars 2017
Sitges
Spain
[en] Crop modelling ; Climate change ; Impacts ; Productivity ; GGCMI
[en] The Global Gridded Crop Model Intercomparison (GGCMI) of the Agricultural Model Intercomparison and Improvement Project (AgMIP) brings together a diverse international community of crop modelers for climate impact assessment, model intercomparison and improvement at the global scale. After conducting a fast-track analysis of climate change impacts on agricultural productivity in the framework of the InterSectoral Impact Model Intercomparison Project (ISIMIP)[1], GGCMI protocols[2] established a benchmark for model evaluation and analyzed model performance and different sources of uncertainty[3]. In the current phase, GGCMI conducts a large input-sensitivity analysis that aims to enhance understanding of how models work and to characterize models by sensitivity to drivers: Carbon dioxide, Temperatures, Water supply, Nitrogen supply and Adaptation. Modelers were asked to supply up to 1512 global 31-year simulations for five different crops: maize, rice, soybean, spring wheat and winter wheat.
GGCMI (Global Gridded Crop Model Intercomparison)
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/227221

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.