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Abdul-Aziz, O. I., & Al-Amin, S. (2016). Climate, land use and hydrologic sensitivities of stormwater quantity and quality in a complex coastal-urban watershed. Urban Water Journal, 13(3), 302–320.
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Anandhi, A., & Kannan, N. (2018). Vulnerability assessment of water resources - Translating a theoretical concept to an operational framework using systems thinking approach in a changing climate: Case study in Ogallala Aquifer. Journal of Hydrology, 557, 460–474.
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Bracho, R., Natali, S., Pegoraro, E., Crummer, K. G., Schädel, C., Celis, G., et al. (2016). Temperature sensitivity of organic matter decomposition of permafrost-region soils during laboratory incubations. Soil Biology and Biochemistry, 97, 1–14.
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Cammarano, D., Rötter, R. P., Asseng, S., Ewert, F., Wallach, D., Martre, P., et al. (2016). Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2. Field Crops Research, 198, 80–92.
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Cronin, T. W., & Wing, A. A. (2017). Clouds, Circulation, and Climate Sensitivity in a Radiative-Convective Equilibrium Channel Model. J. Adv. Model. Earth Syst., 9(8), 2883–2905.
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Drury, A. J., John, C. M., & Shevenell, A. E. (2016). Evaluating climatic response to external radiative forcing during the late Miocene to early Pliocene: New perspectives from eastern equatorial Pacific (IODP U1338) and North Atlantic (ODP 982) locations: Late Miocene-Early Pliocene Variability. Paleoceanography, 31(1), 167–184.
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Fleisher, D. H., Condori, B., Quiroz, R., Alva, A., Asseng, S., Barreda, C., et al. (2017). A potato model intercomparison across varying climates and productivity levels. Glob Change Biol, 23(3), 1258–1281.
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Follstad Shah, J. J., Kominoski, J. S., Ardón, M., Dodds, W. K., Gessner, M. O., Griffiths, N. A., et al. (2017). Global synthesis of the temperature sensitivity of leaf litter breakdown in streams and rivers. Glob Change Biol, 23(8), 3064–3075.
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Fronzek, S., Pirttioja, N., Carter, T. R., Bindi, M., Hoffmann, H., Palosuo, T., et al. (2018). Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change. Agricultural Systems, 159, 209–224.
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Harrington, J., Chi, H., & Gray, L. P. (2017). Florida tourism. In E. P. Chassignet, J. W. Jones, V. Misra, & J. Obeysekera (Eds.), Florida's climate: Changes, variations, & impacts (pp. 297–309). Gainesville, FL: Florida Climate Institute.
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Kleinwechter, U., Gastelo, M., Ritchie, J., Nelson, G., & Asseng, S. (2016). Simulating cultivar variations in potato yields for contrasting environments. Agricultural Systems, 145, 51–63.
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Malone, S. L., Barr, J., Fuentes, J. D., Oberbauer, S. F., Staudhammer, C. L., Gaiser, E. E., et al. (2016). Sensitivity to Low-Temperature Events: Implications for CO2 Dynamics in Subtropical Coastal Ecosystems. Wetlands, 36(5), 957–967.
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Mu, C., Wu, X., Zhao, Q., Smoak, J. M., Yang, Y., Hu, L., et al. (2017). Relict mountain permafrost area (Loess Plateau, China) exhibits high ecosystem respiration rates and accelerating rates in response to warming. Journal of Geophysical Research: Biogeosciences, 122(10), 2580–2592.
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Pirttioja, N., Carter, T., Fronzek, S., Bindi, M., Hoffmann, H., Palosuo, T., et al. (2015). Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces. Clim. Res., 65, 87–105.
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Sihi, D., Inglett, P. W., & Inglett, K. S. (2016). Carbon quality and nutrient status drive the temperature sensitivity of organic matter decomposition in subtropical peat soils. Biogeochemistry, 131(1-2), 103–119.
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Song, X., Zhang, G. J., & Cai, M. (2014). Characterizing the Climate Feedback Pattern in the NCAR CCSM3-SOM Using Hourly Data. J. Climate, 27(8), 2912–2930.
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Wang, X. H., Zhao, C., Muller, C., Wang, C. Z., Ciais, P., Janssens, I., et al. (2020). Emergent constraint on crop yield response to warmer temperature from field experiments. Nature Sustainability, .
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Wing, A. A. (2019). Self-Aggregation of Deep Convection and its Implications for Climate. Curr Clim Change Rep, 5(1), 1–11.
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Woli, P., Jones, J. W., Ingram, K. T., & Hoogenboom, G. (2014). Predicting Crop Yields with the Agricultural Reference Index for Drought. J Agro Crop Sci, 200(3), 163–171.
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