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Semenov, M.A.; Stratonovitch, P. |
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Title |
Application of evolutionary algorithms for model calibration |
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Conference Article |
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2012 |
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Genetic and Evolutionary Computation Conference (GECCO 2012), Philadelphia, USA., 2012-07-07 to 2012-07-11 |
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MA @ admin @ |
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2821 |
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Semenov, M.A.; Stratonovitch, P. |
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Title |
Adapting wheat for uncertain future |
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Conference Article |
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2014 |
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XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29 |
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no |
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MA @ admin @ |
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2823 |
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Ferrise, R.; Moriondo, M.; Pasqui, M.; Toscano, P.; Semenov, M.A.; Bindi, M. |
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Title |
Using seasonal forecasts for predicting durum wheat yield over the Mediterranean Basin |
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Conference Article |
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2014 |
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MACSUR CropM International Symposium and Workshop: Modelling climate change impacts on crop production for food security, Oslo, Norway, 2014-02-10 to 2014-02-12 |
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MA @ admin @ |
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2436 |
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Barber, H.M.; Gooding, M.J.; Semenov, M.A. |
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Title |
Improving modelling of wheat responses to high temperature stress under climate change |
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2014 |
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XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29 |
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no |
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MA @ admin @ |
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2299 |
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Author |
Semenov, M.A.; Stratonovitch, P. |
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Title |
Local-scale CMIP5-based climate scenarios for MACSUR2 |
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Report |
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2016 |
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FACCE MACSUR Reports |
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8 |
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C2.2-D |
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CropM |
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Abstract |
Climate sensitivity of GCMs was used to select 5 GCMs from the CMIP5 ensemble for impact studies in MACSUR2. Selected GCMs for MACSUR2 are EC-EARTH (7), GFDL-CM3 (8) HadGEM2-ES (10), MIROC5 (13), and MPI-ESM-MR (15). These GCMs are evenly distributed among CMIP5 (Fig 1) and should capture, in principal, climate uncertainty of the CMIP5 ensemble. Using 5 GCMs will enable us to assess uncertainties in impacts related to uncertainty in climate projections. The selection of GCMs in MACSUR2 has a good overlap with selections of GCMs used in CORDEX and AgMIP projects. We used the LARS-WG generator to construct local-scale CMIP5-based climate scenarios for Europe (Semenov & Stratonovitch, 2015). Fifteen sites were selected in Europe for MACSUR2. For each site and each selected GCM, 100 yrs climate daily data were generated by LARS-WG for RCP4.5 and RCP8.5 emission scenarios and for baseline and 3 future periods: near-term (2021-2040), mid-term (2041-2060) and long-term (2081-2100). |
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no |
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MA @ admin @ |
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2270 |
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