William Brock, Lars Peter Hansen. Wrestling with Uncertainty in Climate Economic Models. SSRN, Jul 2017. (This paper was presented at the Lindau Public Lecture Series)
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Brock and Xepapadeas. Climate Change Policy Under Polar Amplification. European Economic Review, 94:263-282, 2017.
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Tess A Russo and Upmanu Lall. Depletion and response of deep groundwater to climate-induced pumping variability. Nature Geoscience, 10(2):105–108, 2017.
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S. Sahoo et al. Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S. Water Resources Research, 2017.
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B Schauberger et al. Consistent negative response of us crops to high temperatures in observations and crop models. Nature Communications, 8, 2017.
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Christoph Müller et al. Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications. Geoscientific Model Development, 2017.
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S Yeltekin et al. Computing equilibria of dynamic games. Operations Research, 65(2):337–356, 2017.
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J. M. Klavans, A. Poppick, S. Sun, and E. J. Moyer. The influence of model resolution on temperature variability. Climate Dynamics, 48(9-10):3035–3045, 2017.
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J R Lopez et al., Integrating growth stage deficit irrigation into a process based crop model. Agricultural and Forest Meteorology, 243:84–92, 2017.
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R. Montella et al. Using the FACE- IT portal and workflow engine for operational food quality prediction and assessment, Submitted to Future Generation Computer Systems, 2017.
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J Durand, et al. How accurately do maize crop models simulate the interactions of atmospheric co2 concentration levels with limited water supply on water use and yield? Eu J of Agronomy, 2017.
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Cai, Y., W. Brock, and A. Xepapadeas. Climate Change Economics and Heat Transport Across the Globe: Spatial-DSICE. In ASSA Annual Meeting. Agricultural and Applied Economics Association, 2017.
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A Galletti, et al., Numerical and implementation issues in food quality modeling for human diseases prevention. BIOSTEC 2017, page 526, 2017.
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Henderson et al. The power & pain of market-based carbon policies: global application to greenhouse gases from ruminant livestock prod. Mitigation & Adaptation Strategies for Global Change 2017.
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A. Poppick et al. Estimating trends in the global mean temperature record. ASCMO, 3:33–53, 2017.
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J B Kim et al., Assessing climate change impacts, benefits of mitigation, & uncertainties on major global forest regions under multiple socioeconomic & emissions scenarios. Env. Research Ltrs., 2017.
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Cai, Y., A. Golub and T. Hertel “Agricultural research spending must increase in light of future uncertainties” Food Policy (70):71-83, 2017
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J C Peters and T W Hertel. Achieving the clean power plan 2030 co2 target with the new normal in natural gas prices. The Energy Journal, 2017.
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Elisabeth Moyer. Precipitation and atmospheric moisture transport responses to increased infrared opacity. Bulletin of the American Physical Society, 2016.
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C Folberth et al. Uncertainties in global crop model frameworks: effects of cultivar distribution, crop management and soil handling on crop yield estimates. Biogeosciences Discussions 2016.
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Jingyu Bao, David J McInerney, and Michael L Stein. A spatial-dependent model for climate emulation. Environmetrics, 27(7):396–408, 2016.
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Katja Frieler et. al, Understanding the weather-signal in national crop-yield variability.
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Michael Glotter and Joshua Elliott. Simulating us agriculture in a modern dust bowl drought. Nature Plants, 3:16193, 2016.
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Thomas W Hertel. Land use in the 21st century: Contributing to the global public good. Review of Development Economics, 2016.
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Cai, Golub and Hertel “Agricultural Spending Must Increase in Light of Future Uncertainties” Food Policy 70:71-83, 2017
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SJC Janssen et al. Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology. Agricultural Systems, 2016.
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Di Luccio, D. et al., Some remarks about a community open source Lagrangian pollutant transport and dispersion model. Procedia Computer Science, 113, 490-495, 2017
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Montella, R., et al. WaComM: A parallel Water quality Community Model for pollutant transport and dispersion operational predictions. In SITIS, IEEE, 2016
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