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Gabaldón, C., Lorite, J., Mínguez, I., Dosio, A., Sánchez-Sánchez, E., & Ruiz-Ramos, M. (2013). Evaluation of local adaptation strategies to climate change of maize crop in Andalusia for the 21st century..
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Castañeda-Vera, A., Garrido, A., Ruiz-Ramos, M., Sánchez-Sánchez, E., & Mínguez, M. I. (2013). Quantitative assessment of current and future risks related rainfall in processing tomato in the Guadiana river basin (SW Spain)..
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Caubel, J., Garcia, D. C. - A., I., Huard, F., Launay, M., Ripoche, D., Gouache, D., et al. (2013). Ecoclimatic indicators to study crop suitability in the context of climate change..
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Heinke, J., Ostberg, S., Schaphoff, S., Frieler, K., Müller, C., Gerten, D., et al. (2013). A new climate dataset for systematic assessments of climate change impacts as a function of global warming. Geosci. Model Dev., 6(5), 1689–1703.
Abstract: 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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Ben Touhami, H., Lardy, R., Klumpp, K., & Bellocchi, G. (2013). 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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