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Ben Touhami, H.; Lardy, R.; Klumpp, K.; Bellocchi, G. |
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Bayesian calibration of the Pasture Simulation model (PaSim) to simulate emissions from long-term European grassland sites: a case study at Laqueuille (France) |
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2013 |
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Greenhouse Gases & Animal Agriculture 2013, Dublin, Ireland, 2013-06-23 to 2013-06-26 |
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MA @ admin @ |
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2311 |
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Elliott, J.; Müller, C.; Deryng, D.; Chryssanthacopoulos, J.; Boote, K.J.; Büchner, M.; Foster, I.; Glotter, M.; Heinke, J.; Iizumi, T.; Izaurralde, R.C.; Mueller, N.D.; Ray, D.K.; Rosenzweig, C.; Ruane, A.C.; Sheffield, J. |
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The Global Gridded Crop Model Intercomparison: data and modeling protocols for Phase 1 (v1.0) |
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Journal Article |
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2015 |
Publication |
Geoscientific Model Development |
Abbreviated Journal |
Geosci. Model Dev. |
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8 |
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2 |
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261-277 |
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land-surface model; climate-change; systems simulation; high-resolution; water; carbon; yield; agriculture; patterns; growth |
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We present protocols and input data for Phase 1 of the Global Gridded Crop Model Intercomparison, a project of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The project includes global simulations of yields, phenologies, and many land-surface fluxes using 12-15 modeling groups for many crops, climate forcing data sets, and scenarios over the historical period from 1948 to 2012. The primary outcomes of the project include (1) a detailed comparison of the major differences and similarities among global models commonly used for large-scale climate impact assessment, (2) an evaluation of model and ensemble hindcasting skill, (3) quantification of key uncertainties from climate input data, model choice, and other sources, and (4) a multi-model analysis of the agricultural impacts of large-scale climate extremes from the historical record. |
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1991-9603 |
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CropM, ft_macsur |
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MA @ admin @ |
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4559 |
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Heinke, J.; Ostberg, S.; Schaphoff, S.; Frieler, K.; Müller, C.; Gerten, D.; Meinshausen, M.; Lucht, W. |
![goto web page (via DOI) doi](img/doi.gif)
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A new climate dataset for systematic assessments of climate change impacts as a function of global warming |
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Journal Article |
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2013 |
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Geoscientific Model Development |
Abbreviated Journal |
Geosci. Model Dev. |
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6 |
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5 |
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1689-1703 |
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dangerous anthropogenic interference; vegetation model; carbon-cycle; emissions; targets |
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In the ongoing political debate on climate change, global mean temperature change (Delta T-glob) has become the yardstick by which mitigation costs, impacts from unavoided climate change, and adaptation requirements are discussed. For a scientifically informed discourse along these lines, systematic assessments of climate change impacts as a function of Delta T-glob are required. The current availability of climate change scenarios constrains this type of assessment to a narrow range of temperature change and/or a reduced ensemble of climate models. Here, a newly composed dataset of climate change scenarios is presented that addresses the specific requirements for global assessments of climate change impacts as a function of Delta T-glob. A pattern-scaling approach is applied to extract generalised patterns of spatially explicit change in temperature, precipitation and cloudiness from 19 Atmosphere-Ocean General Circulation Models (AOGCMs). The patterns are combined with scenarios of global mean temperature increase obtained from the reduced-complexity climate model MAGICC6 to create climate scenarios covering warming levels from 1.5 to 5 degrees above pre-industrial levels around the year 2100. The patterns are shown to sufficiently maintain the original AOGCMs’ climate change properties, even though they, necessarily, utilise a simplified relationships between Delta T-glob and changes in local climate properties. The dataset (made available online upon final publication of this paper) facilitates systematic analyses of climate change impacts as it covers a wider and finer-spaced range of climate change scenarios than the original AOGCM simulations. |
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1991-9603 |
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CropM |
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MA @ admin @ |
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4490 |
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Del Prado, A.; van den Pol-van Dasselaar, A.; Chadwick, D.; Misselbrook, T.; Sandars, D.L.; Audsley, E.; Mosquera-Losada, M.R. |
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Title |
Synergies between mitigation and adaption to climate change in grassland-based farming systems |
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Conference Article |
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2014 |
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25th EGF General Meeting on “EGF at 50: The Future of European Grasslands”. - Grassland Science in Europe 19. Aberystwyth, Wales : EGF, 2014 - p. 61 - 74., 2014-09-07 to 2014-09-11 |
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MA @ admin @ |
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2386 |
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Kozyra, J.; Nieróbca, A.; Borzecka –Walker, M.; Pudelko, R.; Zylowska, K.; Labedzki, L.; Bak, J.; Faber, A.; Krasuska, E. |
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Title |
Adaptation to climate change in Central Europe – needs and reality |
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Conference Article |
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2014 |
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CropM |
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XIII ESA congress, Debrecen, Hungary, 2014-08-25 to 2014-08-29 |
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MA @ admin @ |
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2571 |
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