Author Semenov, Mikhail A.

1 to 20 of 32 Items
  • 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 
  • 2016 | Journal Article
    ​ ​Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO 2​
    Cammarano, D.; Rötter, R. P. ; Asseng, S.; Ewert, F.; Wallach, D.; Martre, P. & Hatfield, J. L. et al.​ (2016) 
    Field Crops Research, 198 pp. 80​-92​.​ DOI: https://doi.org/10.1016/j.fcr.2016.08.015 
    ​Details  DOI 
  • 2016 | Journal Article
    ​ ​Similar estimates of temperature impacts on global wheat yield by three independent methods​
    Liu, B.; Asseng, S.; Müller, C.; Ewert, F.; Elliott, J.; Lobell, D. & Martre, P. et al.​ (2016) 
    Nature Climate Change, 6(12) pp. 1130​-1136​.​ DOI: https://doi.org/10.1038/nclimate3115 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functions​
    Wang, E.; Zhao, Z.; Martre, P.; Maiorano, A.; Ewert, F.; Kimball, B. A. & Rötter, R. P.  et al.​ (2017) 
    Nature Plants, 3(10) pp. 833​-833​.​ DOI: https://doi.org/10.1038/s41477-017-0032-6 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​The uncertainty of crop yield projections is reduced by improved temperature response functions​
    Wang, E.; Zhao, Z.; Martre, P.; Maiorano, A.; Ewert, F.; Kimball, B. A. & Rötter, R. P.  et al.​ (2017) 
    Nature Plants, 3(8) art. 17102​.​ DOI: https://doi.org/10.1038/nplants.2017.102 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Designing future barley ideotypes using a crop model ensemble​
    Tao, F.; Rötter, R. P. ; Palosuo, T.; Díaz-Ambrona, C.; Mínguez, M. I.; Semenov, M. A. & Kersebaum, K. C.  et al.​ (2017) 
    European Journal of Agronomy, 82(Part A) pp. 144​-162​.​ DOI: https://doi.org/10.1016/j.eja.2016.10.012 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations.​
    Martre, P.; Reynolds, M. P.; Asseng, S.; Ewert, F.; Alderman, P. D.; Cammarano, D. & Maiorano, A. et al.​ (2017) 
    Open Data journal for Agricultural Research, 3 pp. 23​-28​.​ DOI: https://doi.org/10.18174/odjar.v3i1.15766 
    ​Details  DOI 
  • 2017 | Journal Article
    ​ ​Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles​
    Maiorano, A.; Martre, P.; Asseng, S.; Ewert, F.; Müller, C.; Rötter, R. P.   & Ruane, A. C. et al.​ (2017) 
    Field Crops Research, 202 pp. 5​-20​.​ DOI: https://doi.org/10.1016/j.fcr.2016.05.001 
    ​Details  DOI 
  • 2017 | Journal Article | Erratum | 
    ​ ​Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functions​
    Wang, E.; Martre, P.; Ewert, F.; Zhao, Z.; Maiorano, A.; Rötter, R. P.   & Ottman, M. J. et al.​ (2017) 
    Nature Plants, 3(8) art. 17125​.​ DOI: https://doi.org/10.1038/nplants.2017.125 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Physical robustness of canopy temperature models for crop heat stress simulation across environments and production conditions​
    Webber, H.; White, J. W.; Kimball, B. A.; Ewert, F.; Asseng, S.; Eyshi Rezaei, E. & Pinter, P. J. et al.​ (2018) 
    Field Crops Research, 216 pp. 75​-88​.​ DOI: https://doi.org/10.1016/j.fcr.2017.11.005 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Climate change impact and adaptation for wheat protein​
    Asseng, S.; Martre, P.; Maiorano, A.; Rötter, R. P. ; O’Leary, G. J.; Fitzgerald, G. J. & Girousse, C. et al.​ (2018) 
    Global Change Biology, 25(1) pp. 155​-173​.​ DOI: https://doi.org/10.1111/gcb.14481 
    ​Details  DOI 

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