Resultats globals: 3 registres trobats en 0.04 segons.
Articles, 3 registres trobats
Articles 3 registres trobats  
1.
13 p, 4.7 MB Uncertainty in soil data can outweigh climate impact signals in crop yield simulations / Folberth, Christian (International Institute for Applied Systems Analysis) ; Rastislav Skalsky (International Institute for Applied Systems Analysis) ; Moltchanova, Elena (International Institute for Applied Systems Analysis) ; Balkovic, Juraj (International Institute for Applied Systems Analysis) ; Azevedo, Ligia B. (International Institute for Applied Systems Analysis) ; Obersteiner, Michael (International Institute for Applied Systems Analysis) ; Van der Velde, Marijn (European Commission. Joint Research Centre)
Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. [...]
2017 - 10.1038/ncomms1187
Nature communications, Vol. 7 (2016) , art. 11872  
2.
30 p, 2.2 MB Uncertainties in global crop model frameworks : effects of cultivar distribution, crop management and soil handling on crop yield estimates / Folberth, Christian (International Institute for Applied Systems Analysis, Ecosystem Services and Management Program) ; Elliot, Joshua (University of Chicago) ; Müller, Christoph (Postdam-Institut für Klimafolgenforschung) ; Balkovič, Juraj (International Institute for Applied Systems Analysis, Ecosystem Services and Management Program) ; Chryssanthacopoulos, James (Columbia University. Center for Climate Systems Research) ; Izaurralde, Roberto C. (University of Maryland. Department of Geographical Sciences) ; Khabarov, Nikolay (International Institute for Applied Systems Analysis, Ecosystem Services and Management Program) ; Liu, Wenfeng (Eawag) ; Reddy, Ashwan (University of Maryland. Department of Geographical Sciences) ; Schmid, Erwin (Universität für Bodenkultur Wien) ; Skalský, Rastislav (International Institute for Applied Systems Analysis, Ecosystem Services and Management Program) ; Yang, Hong (Eawag) ; Arneth, Almut (Karlsruher Institut für Technologie) ; Ciais, Philippe (Laboratoire des Sciences du Climat et de l’Environnement) ; Deryng, Delphine (Columbia University Center for Climate Systems Research) ; Lawrence, Peter J. (National Center for Atmospheric Research. Earth System Laboratory) ; Olin, Stefan (Lunds Universitet. Department of Physical Geography and Ecosystem Science) ; Pugh, Thomas A.M. (Karlsruher Institut für Technologie) ; Ruane, Alex C. (Columbia University Center for Climate Systems Research) ; Wang, Xuhui (Laboratoire des Sciences du Climat et de l’Environnement)
Global gridded crop models (GGCMs) combine field-scale agronomic models or sets of plant growth algorithms with gridded spatial input data to estimate spatially explicit crop yields and agricultural externalities at the global scale. [...]
207 - 10.5194/bg-2016-527
Biogeosciences Discussions, 207  
3.
13 p, 4.7 MB Uncertainty in soil data can outweigh climate impact signals in global crop yield simulations / Folberth, Christian (International Institute for Applied Systems Analysis) ; Skalský, Rastislav (International Institute for Applied Systems Analysis) ; Moltchanova, Elena (International Institute for Applied Systems Analysis) ; Balkovic, Juraj (International Institute for Applied Systems Analysis) ; Azevedo, Ligia B. (International Institute for Applied Systems Analysis) ; Obersteiner, Michael (International Institute for Applied Systems Analysis) ; Van Der Velde, Marijn (Commission of the European Communities. Joint Research Centre)
Global gridded crop models (GGCMs) are increasingly used for agro-environmental assessments and estimates of climate change impacts on food production. Recently, the influence of climate data and weather variability on GGCM outcomes has come under detailed scrutiny, unlike the influence of soil data. [...]
2016 - 10.1038/ncomms11872
Nature communications, Vol. 7, art. 11872 (2016)  

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