Author Semenov, Mikhail A.

• 2013 | Conference Paper
  ​ ​Challenges for agro-ecosystem modelling in climate change risk assessment for major European crops and farming systems​
  Rötter, R. P. ; Ewert, F.; Palosuo, T.; Bindi, M.; Kersebaum, K. C. ; Olesen, J. & Trnka, M. et al.​ (2013)
  ​Conference Proceedings of Impacts World 2013, International Conference on Climate Change Effects pp. 555​-560. ​Impacts World 2013, International Conference on Climate Change Effects​, Postdam, Germany.
  Potsdam​: Potsdam Institute for Climate Impact Research. DOI: https://doi.org/10.2312/pik.2013.001 
  ​Details  DOI 

• 2014 | Conference Paper
  ​ ​Examining wheat yield sensitivity to temperature and precipitation changes for a large ensemble of crop models using impact response surfaces​
  Pirttioja, N.; Fronzek, S.; Bindi, M.; Carter, T. R.; Hoffmann, H.; Palosuo, T. & Ruiz-Ramos, M. et al.​ (2014)
  ​Proceedings of the FACCE MACSUR CropM International Symposium and Workshop "Modelling climate change impacts on crop production for food security" pp. 18​-19. ​FACCE MACSUR CropM International Symposium and Workshop "Modelling climate change impacts on crop production for food security"​, Oslo.
  ​Details 

• 2014 | Journal Article
  ​ ​Adverse weather conditions for European wheat production will become more frequent with climate change​
  Trnka, M.; Rötter, R. P. ; Ruiz-Ramos, M.; Kersebaum, K. C. ; Olesen, J.; Žalud, Z. & Semenov, M. A.​ (2014) 
  Nature Climate Change, 4(7) pp. 637​-643​.​ DOI: https://doi.org/10.1038/nclimate2242 
  ​Details  DOI 

• 2015 | Conference Paper
  ​ ​Wheat yield sensitivity to climate change across a European transect for a large ensemble of crop models​
  Pirttioja, N.; Carter, T. R.; Fronzek, S.; Bindi, M.; Hoffmann, H.; Palosuo, T. & Ruiz-Ramos, M. et al.​ (2015)
  ​Proceedings of the Climate-Smart Agriculture 2015 - 3rd Global Science Conference pp. 64​-65. ​Climate-Smart Agriculture 2015 - 3rd Global Science Conference​, Le Corum, Montpellier (France).
  ​Details 

• 2015 | Book Chapter
  ​ ​Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Effects​
  Rötter, R. P. ; Makowski, D.; Asseng, S.; Ewert, F.; Bassu, S.; Durand, J.-L.& Martre, P. et al.​ (2015)
  In:​Rosenzweig, Cynthia; Hillel, Daniel​ (Eds.), Handbook of Climate Change and Agroecosystems: the agricultural model intercomparison and improvement project integrated crop and economic assessments pp. 279​-295. ​London: ​Imperial College Press. DOI: https://doi.org/10.1142/9781783265640_0011 
  ​Details  DOI 

• 2015 | Journal Article
  ​ ​Multimodel ensembles of wheat growth: many models are better than one​
  Martre, P.; Wallach, D.; Asseng, S.; Ewert, F.; Jones, J. W.; Rötter, R. P.   & Boote, K. J. et al.​ (2015) 
  Global Change Biology, 21(2) pp. 911​-925​.​ DOI: https://doi.org/10.1111/gcb.12768 
  ​Details  DOI 

• 2015 | Journal Article
  ​ ​Crop modelling for integrated assessment of risk to food production from climate change​
  Ewert, F.; Rötter, R. P. ; Bindi, M.; Webber, H.; Trnka, M.; Kersebaum, K. C.   & Olesen, J. et al.​ (2015) 
  Environmental Modelling & Software, 72 pp. 287​-303​.​ DOI: https://doi.org/10.1016/j.envsoft.2014.12.003 
  ​Details  DOI 

• 2015 | Journal Article
  ​ ​Benchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations​
  Asseng, S.; Ewert, F.; Martre, P.; Rosenzweig, C.; Jones, J.; Hatfield, J. & Ruane, A. C. et al.​ (2015) 
  Open Data Journal for Agricultural Research, 1(1) pp. 1​-5​.​ DOI: https://doi.org/10.18174/odjar.v1i1.14746 
  ​Details  DOI 

• 2015 | Journal Article | 
  ​ ​Rising temperatures reduce global wheat production​
  Asseng, S.; Ewert, F.; Martre, P.; Rötter, R. P. ; Lobell, D.; Cammarano, D. & Kimball, B. A. et al.​ (2015) 
  Nature Climate Change, 5(2) pp. 143​-147​.​ DOI: https://doi.org/10.1038/nclimate2470 
  ​Details  DOI 

• 2016 | Journal Article
  ​ ​Multi-wheat-model ensemble responses to interannual climate variability​
  Ruane, A. C.; Hudson, N. I.; Asseng, S.; Camarrano, D.; Ewert, F.; Martre, P. & Boote, K. J. et al.​ (2016) 
  Environmental Modelling & Software, 81 pp. 86​-101​.​ DOI: https://doi.org/10.1016/j.envsoft.2016.03.008 
  ​Details  DOI 

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