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Author |
Calanca, P.; Semenov, M.A. |
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Title |
Local-scale climate scenarios for impact studies and risk assessments: integration of early 21st century ENSEMBLES projections into the ELPIS database |
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Journal Article |
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Year  |
2013 |
Publication |
Theoretical and Applied Climatology |
Abbreviated Journal |
Theor. Appl. Climatol. |
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Volume |
113 |
Issue |
3-4 |
Pages |
445-455 |
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Keywords |
stochastic weather generators; regional climate; lars-wg; daily; precipitation; models; simulation; europe; temperature; variability; heatwaves |
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Abstract |
We present the integration of early 21st century climate projections for Europe based on simulations carried out within the EU-FP6 ENSEMBLES project with the LARS-WG stochastic weather generator. The aim was to upgrade ELPIS, a repository of local-scale climate scenarios for use in impact studies and risk assessments that already included global projections from the CMIP3 ensemble and regional scenarios for Japan. To obtain a more reliable simulation of daily rainfall and extremes, changes in wet and dry series derived from daily ENSEMBLES outputs were taken into account. Kernel average smoothers were used to reduce noise arising from sampling artefacts. Examples of risk analyses based on 25-km climate projections from the ENSEMBLES ensemble of regional climate models illustrate the possibilities offered by the updated version of ELPIS. The results stress the importance of tailored information for local-scale impact assessments at the European level. |
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0177-798x 1434-4483 |
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CropM, ftnotmacsur |
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no |
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MA @ admin @ |
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4484 |
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Author |
Semenov, M.A.; Pilkington-Bennett, S. |
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Title |
Validation of ELPIS baseline scenarios using ECA&D observed data |
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Conference Article |
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Year |
2012 |
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4151-4152 |
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CropM |
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Geophysical Research Abstracts |
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14 |
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European GeoSciences Union (EGU), General Assembly 2012, 2012-04-22 to 2012-04-27 |
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MA @ admin @ |
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2820 |
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Author |
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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Year |
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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no |
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MA @ admin @ |
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2821 |
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Author |
Semenov, M.A.; Mitchell, R.A.C.; Whitmore, A.P.; Hawkesford, M.J.; Parry, M.A.J.; Shewry, P.R. |
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Title |
Shortcomings in wheat yield predictions |
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Journal Article |
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Year |
2012 |
Publication |
Nature Climate Change |
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Nat. Clim. Change |
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2 |
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6 |
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380-382 |
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winter-wheat; elevated CO2; temperature; growth |
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Abstract |
Predictions of a 40–140% increase in wheat yield by 2050, reported in the UK Climate Change Risk Assessment, are based on a simplistic approach that ignores key factors affecting yields and hence are seriously misleading. |
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English |
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1758-678x 1758-6798 |
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Commentary |
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CropM, ftnotmacsur |
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no |
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MA @ admin @ |
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4504 |
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