Home > Search Results: Moltchanova, Elena
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Articles, 2 records found
Articles 2 records found  
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 (Àustria)) ; Skalsky, Rastislav (International Institute for Applied Systems Analysis (Àustria)) ; Moltchanova, Elena (International Institute for Applied Systems Analysis (Àustria)) ; Balkovic, Juraj (International Institute for Applied Systems Analysis (Àustria)) ; Azevedo, Ligia B. (International Institute for Applied Systems Analysis (Àustria)) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria)) ; 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  
Detailed record - Creative Commons
2.
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 (Àustria)) ; Skalský, Rastislav (International Institute for Applied Systems Analysis (Àustria)) ; Moltchanova, Elena (International Institute for Applied Systems Analysis (Àustria)) ; Balkovic, Juraj (International Institute for Applied Systems Analysis (Àustria)) ; Azevedo, Ligia B. (International Institute for Applied Systems Analysis (Àustria)) ; Obersteiner, Michael (International Institute for Applied Systems Analysis (Àustria)) ; 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)  
Detailed record - Creative Commons

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