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Anandhi, A., & Bentley, C. (2018). Predicted 21st century climate variability in southeastern U.S. using downscaled CMIP5 and meta-analysis.170.
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Basso,, Dumont,, Maestrini,, Shcherbak,, Robertson,, Porter,, et al. (2018). Soil Organic Carbon and Nitrogen Feedbacks on Crop Yields under Climate Change. AEL, 3(1), 180026.
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Bassu, S., Brisson, N., Durand, J. - L., Boote, K., Lizaso, J., Jones, J. W., et al. (2014). How do various maize crop models vary in their responses to climate change factors? Glob Change Biol, 20(7), 2301–2320.
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Downes, S. M., Farneti, R., Uotila, P., Griffies, S. M., Marsland, S. J., Bailey, D., et al. (2015). An assessment of Southern Ocean water masses and sea ice during 1988-2007 in a suite of interannual CORE-II simulations. Ocean Modelling, 94, 67–94.
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Martre, P., Wallach, D., Asseng, S., Ewert, F., Jones, J. W., Rötter, R. P., et al. (2015). Multimodel ensembles of wheat growth: many models are better than one. Glob Change Biol, 21(2), 911–925.
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Rosenzweig, C., Ruane, A. C., Antle, J., Elliott, J., Ashfaq, M., Chatta, A. A., et al. (2018). Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments. Phil. Trans. R. Soc. A, 376(2119), 20160455.
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