PCHES These publications are supported by the US Department of Energy, Office of Science through the Program on Coupled Human and Earth Systems (PCHES) under DOE Cooperative Agreement No. DE-SC0016162 (download BibTeX citations).
PIAMDDI These publications are supported by the US Department of Energy, Office of Science through the Program on Integrated Assessment Model Development Diagnostics and Intercomparison (PIAMDDI) under DOE Grant No. DE-SC005171 (download BibTeX citations).


[79] Hogan, E and RL Sriver (2019): The effect of internal variability on ocean temperature adjustment in a low-resolution CESM initial conditions ensemble, Journal of Geophysical Research: Oceans, DOI: 10.1029/2018JC014535. PCHES
[78] Hogan, E, RE Nicholas, K Keller, S Eilts and RL Sriver (2019): Representation of US warm temperature extremes in global climate model ensembles, Journal of Climate(2019), PCHES PIAMDDI


[77] Ciscar, JC, K Fisher-Vanden and DB Lobell (2018): Synthesis and Review: an inter-method comparison of climate change impacts on agriculture, Environmental Research Letters, 13(7), 070401, DOI: 10.1088/1748-9326/aac7cb. PIAMDDI
[76] Fan, Q, K Fisher-Vanden and H Allen Klaiber (2018): Climate Change, Migration, and Regional Economic Impacts in the United States, Journal of the Association of Environmental and Resource Economists, DOI: 10.1086/697168. PIAMDDI
[75] Haugen, MA, ML Stein, EJ Moyer and RL Sriver (2018): Estimating Changes in Temperature Distributions in a Large Ensemble of Climate Simulations Using Quantile Regression, Journal of Climate, 31(20), 8573-8588, DOI: 10.1175/JCLI-D-17-0782.1. PCHES PIAMDDI
[74] Nordhaus, W (2018): Evolution of modeling of the economics of global warming: changes in the DICE model, 1992–2017, Climatic Change, 148(4), 623-640, DOI: 10.1007/s10584-018-2218-y. PIAMDDI
[73] Sriver, RL, RJ Lempert, P Wikman-Svahn and K Keller (2018): Characterizing uncertain sea-level rise projections to support investment decisions, PLoS One, 13(2), e0190641, DOI: 10.1371/journal.pone.0190641. PIAMDDI


[72] Blanc, E and W Schlenker (2017): The Use of Panel Models in Assessments of Climate Impacts on Agriculture, Rev Environ Econ Policy, 11(2), 258-279, DOI: 10.1093/reep/rex016.
[71] Calvin, K and K Fisher-Vanden (2017): Quantifying the indirect impacts of climate on agriculture: an inter-method comparison, Environmental Research Letters, 12(11), 115004, DOI: 10.1088/1748-9326/aa843c. PIAMDDI
[70] Davlasheridze, M and Q Fan (2017): Household Adjustments to Hurricane Katrina, The Review of Regional Studies; New Brunswick, 47(1), 93-112, PIAMDDI
[69] Davlasheridze, M, K Fisher-Vanden and H Allen Klaiber (2017): The effects of adaptation measures on hurricane induced property losses: Which FEMA investments have the highest returns?, Journal of Environmental Economics and Management, 81, 93-114, DOI: 10.1016/j.jeem.2016.09.005. PIAMDDI
[68] De Cian, E and I Sue Wing (2017): Global Energy Consumption in a Warming Climate, Environmental & Resource Economics, DOI: 10.1007/s10640-017-0198-4. PCHES
[67] Grogan, DS, D Wisser, A Prusevich, RB Lammers and S Frolking (2017): The use and re-use of unsustainable groundwater for irrigation: a global budget, Environmental Research Letters, 12(3), 034017, DOI: 10.1088/1748-9326/aa5fb2. PIAMDDI
[66] Hogan, E and R Sriver (2017): Analyzing the Effect of Ocean Internal Variability on Depth-Integrated Steric Sea-Level Rise Trends Using a Low-Resolution CESM Ensemble, Water, 9(7), 483, DOI: 10.3390/w9070483. PCHES PIAMDDI
[65] Liu, J, TW Hertel, RB Lammers, A Prusevich, UL Baldos, DS Grogan and S Frolking (2017): Achieving sustainable irrigation water withdrawals: global impacts on food security and land use, Environmental Research Letters, 12(10), 104009, DOI: 10.1088/1748-9326/aa88db. PCHES PIAMDDI
[64] Missirian, A and W Schlenker (2017): Asylum applications respond to temperature fluctuations, Science, 358(6370), 1610-1614, DOI: 10.1126/science.aao0432. PIAMDDI
[63] Mistry, MN, I Sue Wing and E De Cian (2017): Simulated vs. empirical weather responsiveness of crop yields: US evidence and implications for the agricultural impacts of climate change, Environmental Research Letters, 12(7), 075007, DOI: 10.1088/1748-9326/aa788c. PCHES PIAMDDI
[62] Moore, FC, UL Baldos and T Hertel (2017): Economic impacts of climate change on agriculture: a comparison of process-based and statistical yield models, Environmental Research Letters, 12(6), 065008, DOI: 10.1088/1748-9326/aa6eb2. PIAMDDI
[61] Vega-Westhoff, B and RL Sriver (2017): Analysis of ENSO's response to unforced variability and anthropogenic forcing using CESM, Scientific Reports, 7(1), 18047, DOI: 10.1038/s41598-017-18459-8. PCHES PIAMDDI


[60] Diaz, D and K Keller (2016): A potential disintegration of the West Antarctic Ice Sheet: Implications for economic analyses of climate policy, The American Economic Review, 106(5), 607-611, DOI: 10.1257/aer.p20161103. PIAMDDI
[59] Diaz, DB (2016): Estimating global damages from sea level rise with the Coastal Impact and Adaptation Model (CIAM), Climatic Change, 137(1-2), 143-156, DOI: 10.1007/s10584-016-1675-4. PIAMDDI
[58] Fan, Q and M Davlasheridze (2016): Flood Risk, Flood Mitigation, and Location Choice: Evaluating the National Flood Insurance Program's Community Rating System, Risk Analysis, 36(6), 1125-1147, DOI: 10.1111/risa.12505. PIAMDDI
[57] Fan, Q, H Allen Klaiber and K Fisher-Vanden (2016): Does Extreme Weather Drive Interregional Brain Drain in the U.S.? Evidence from a Sorting Model, Land Economics, 92(2), 363-388, DOI: 10.3368/le.92.2.363. PIAMDDI
[56] Leibowicz, BD, V Krey and A Grubler (2016): Representing spatial technology diffusion in an energy system optimization model, Technological Forecasting and Social Change, 103, 350-363, DOI: 10.1016/j.techfore.2015.06.001. PIAMDDI
[55] Olmstead Sheila M., and (2016): Climate Change and Water Resources: Some Adaptation Tools and Their Limits, Journal of Water Resources Planning and Management, 142(6), 01816003, DOI: 10.1061/(ASCE)WR.1943-5452.0000642. PIAMDDI
[54] Ruckert, KL, Y Guan, AM Bakker, CE Forest and K Keller (2016): The effects of time-varying observation errors on semi-empirical sea-level projections, Climatic Change, 1-12, DOI: 10.1007/s10584-016-1858-z. PIAMDDI
[53] Tang, T and D Popp (2016): The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects, Journal of Policy Analysis and Management, 35(1), 195-222, DOI: 10.1002/pam.21879. PIAMDDI
[52] Zaveri, E, DS Grogan, K Fisher-Vanden, S Frolking, RB Lammers, DH Wrenn, A Prusevich and RE Nicholas (2016): Invisible water, visible impact: groundwater use and Indian agriculture under climate change, Environmental Research Letters, 11(8), 084005, DOI: 10.1088/1748-9326/11/8/084005. PIAMDDI


[51] Applegate, PJ and K Keller (2015): How effective is albedo modification (solar radiation management geoengineering) in preventing sea-level rise from the Greenland Ice Sheet?, Environmental Research Letters, 10(8), 084018, DOI: 10.1088/1748-9326/10/8/084018. PIAMDDI
[50] Applegate, PJ, BR Parizek, RE Nicholas, RB Alley and K Keller (2015): Increasing temperature forcing reduces the Greenland Ice Sheet’s response time scale, Climate Dynamics, 45(7), 2001-2011, DOI: 10.1007/s00382-014-2451-7. PIAMDDI
[49] Baldos, UL and TW Hertel (2015): The role of international trade in managing food security risks from climate change, Food Security, 7(2), 275-290, DOI: 10.1007/s12571-015-0435-z. PIAMDDI
[48] Bistline, JE (2015): Electric sector capacity planning under uncertainty: Climate policy and natural gas in the US, Energy Economics, 51, 236-251, DOI: 10.1016/j.eneco.2015.07.008. PIAMDDI
[47] Bistline, JE (2015): Fat-Tailed Uncertainty, Learning, and Climate Policy, Climate Change Economics, 06(02), 1550009, DOI: 10.1142/S2010007815500098. PIAMDDI
[46] Diaz, D (2015): Integrated Assessment of Climate Catastrophes with Endogenous Uncertainty: Does the Risk of Ice Sheet Collapse Justify Precautionary Mitigation?, FEEM Working Paper No. 064.2015, DOI: 10.2139/ssrn.2628601. PIAMDDI
[45] Gately, CK, LR Hutyra and I Sue Wing (2015): Cities, traffic, and CO₂: A multidecadal assessment of trends, drivers, and scaling relationships, Proceedings of the National Academy of Sciences, 112(16), 4999-5004, DOI: 10.1073/pnas.1421723112. PIAMDDI
[44] Grogan, DS, F Zhang, A Prusevich, RB Lammers, D Wisser, S Glidden, C Li and S Frolking (2015): Quantifying the link between crop production and mined groundwater irrigation in China, The Science of the Total Environment, 511, 161-175, DOI: 10.1016/j.scitotenv.2014.11.076. PIAMDDI
[43] Hertel, TW (2015): The challenges of sustainably feeding a growing planet, Food Security, 7(2), 185-198, DOI: 10.1007/s12571-015-0440-2. PIAMDDI
[42] Horton, DE, NC Johnson, D Singh, DL Swain, B Rajaratnam and NS Diffenbaugh (2015): Contribution of changes in atmospheric circulation patterns to extreme temperature trends, Nature, 522(7557), 465-469, DOI: 10.1038/nature14550. PIAMDDI
[41] Leibowicz, BD (2015): Growth and competition in renewable energy industries: Insights from an integrated assessment model with strategic firms, Energy Economics, 52, Part A, 13-25, DOI: 10.1016/j.eneco.2015.09.010. PIAMDDI
[40] Liu, J, TW Hertel, NS Diffenbaugh, MS Delgado and M Ashfaq (2015): Future property damage from flooding: sensitivities to economy and climate change, Climatic Change, 132(4), 741-749, DOI: 10.1007/s10584-015-1478-z. PIAMDDI
[39] Parpas, P, B Ustun, M Webster and QK Tran (2015): Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach, INFORMS Journal on Computing, 27(2), 358-377, DOI: 10.1287/ijoc.2014.0630. PIAMDDI
[38] Sriver, RL, CE Forest and K Keller (2015): Effects of initial conditions uncertainty on regional climate variability: An analysis using a low-resolution CESM ensemble, Geophysical Research Letters, 42(13), 5468-5476, PIAMDDI
[37] Tsai, CY, CE Forest and T Wagener (2015): Estimating the regional climate responses over river basins to changes in tropical sea surface temperature patterns, Climate Dynamics, 45(7-8), 1965-1982, DOI: 10.1007/s00382-014-2449-1. PIAMDDI
[36] Wilkerson, JT, BD Leibowicz, DD Turner and JP Weyant (2015): Comparison of integrated assessment models: Carbon price impacts on U.S. energy, Energy Policy, 76, 18-31, DOI: 10.1016/j.enpol.2014.10.011. PIAMDDI


[35] Baldos, UL and TW Hertel (2014): Global food security in 2050: the role of agricultural productivity and climate change, Aust. J. Agric. Resour. Econ., 58(4), 554-570, DOI: 10.1111/1467-8489.12048. PIAMDDI
[34] Bell, A, T Zhu, H Xie and C Ringler (2014): Climate–water interactions—Challenges for improved representation in integrated assessment models, Energy Econ., 46, 510-521, DOI: 10.1016/j.eneco.2013.12.016. PIAMDDI
[33] Bistline, JE (2014): Energy technology expert elicitations: An application to natural gas turbine efficiencies, Technol. Forecast. Soc. Change, 86, 177-187, DOI: 10.1016/j.techfore.2013.11.003. PIAMDDI
[32] Bistline, JE (2014): Natural gas, uncertainty, and climate policy in the US electric power sector, Energy Policy, 74, 433-442, DOI: 10.1016/j.enpol.2014.08.017. PIAMDDI
[31] Bosello, F and E De Cian (2014): Climate change, sea level rise, and coastal disasters. A review of modeling practices, Energy Economics, 46, 593-605, DOI: 10.1016/j.eneco.2013.09.002. PIAMDDI
[30] Butler, MP, PM Reed, K Fisher-Vanden, K Keller and T Wagener (2014): Inaction and climate stabilization uncertainties lead to severe economic risks, Climatic Change, 127(3-4), 463-474, DOI: 10.1007/s10584-014-1283-0. PIAMDDI
[29] Butler, MP, PM Reed, K Fisher-Vanden, K Keller and T Wagener (2014): Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis, Environmental Modelling and Software, 59, 10-29, DOI: 10.1016/j.envsoft.2014.05.001. PIAMDDI
[28] Ciscar, JC and P Dowling (2014): Integrated assessment of climate impacts and adaptation in the energy sector, Energy Econ., 46, 531-538, DOI: 10.1016/j.eneco.2014.07.003. PIAMDDI
[27] Deschenes, O (2014): Temperature, human health, and adaptation: A review of the empirical literature, Energy Economics, 46, 606-619, DOI: 10.1016/j.eneco.2013.10.013. PIAMDDI
[26] Fisher-Vanden, K, D Popp and IS Wing (2014): Introduction to the Special Issue on Climate Adaptation: Improving the connection between empirical research and integrated assessment models, Energy Econ., Complete(46), 495-499, DOI: 10.1016/j.eneco.2014.11.010. PIAMDDI
[25] Hertel, TW and DB Lobell (2014): Agricultural adaptation to climate change in rich and poor countries: Current modeling practice and potential for empirical contributions, Energy Econ., 46, 562-575, DOI: 10.1016/j.eneco.2014.04.014. PIAMDDI
[24] Hertel, TW, N Ramankutty and UL Baldos (2014): Global market integration increases likelihood that a future African Green Revolution could increase crop land use and CO2 emissions, Proceedings of the National Academy of Sciences of the United States of America, 111(38), 13799-13804, DOI: 10.1073/pnas.1403543111. PIAMDDI
[23] Keenan, TF, J Gray, MA Friedl, M Toomey, G Bohrer, DY Hollinger, J William Munger, J O’Keefe, HP Schmid, I Sue Wing, B Yang and AD Richardson (2014): Net carbon uptake has increased through warming-induced changes in temperate forest phenology, Nature Climate Change, 4(7), 598-604, DOI: 10.1038/nclimate2253. PIAMDDI
[22] Klaiber, HA (2014): Migration and household adaptation to climate: A review of empirical research, Energy Economics, 46, 539-547, DOI: 10.1016/j.eneco.2014.04.001. PIAMDDI
[21] Kousky, C (2014): Informing climate adaptation: A review of the economic costs of natural disasters, Energy Economics, 46, 576-592, DOI: 10.1016/j.eneco.2013.09.029. PIAMDDI
[20] Li, W and CE Forest (2014): Estimating the Sensitivity of the Atmospheric Teleconnection Patterns to SST Anomalies Using a Linear Statistical Method, Journal of Climate, 27(24), 9065-9081, DOI: 10.1175/JCLI-D-14-00231.1. PIAMDDI
[19] Liu, J, TW Hertel, F Taheripour, T Zhu and C Ringler (2014): International trade buffers the impact of future irrigation shortfalls, Global Environmental Change, 29, 22-31, DOI: 10.1016/j.gloenvcha.2014.07.010. PIAMDDI
[18] Miao, Q and D Popp (2014): Necessity as the mother of invention: Innovative responses to natural disasters, J. Environ. Econ. Manage., 68(2), 280-295, DOI: 10.1016/j.jeem.2014.06.003. PIAMDDI
[17] Olmstead, SM (2014): Climate change adaptation and water resource management: A review of the literature, Energy Economics, 46, 500-509, DOI: 10.1016/j.eneco.2013.09.005. PIAMDDI
[16] Parpas, P and M Webster (2014): A stochastic multiscale model for electricity generation capacity expansion, European Journal of Operational Research, 232(2), 359-374, DOI: 10.1016/j.ejor.2013.07.022. PIAMDDI
[15] Rose, SK (2014): Integrated assessment modeling of climate change adaptation in forestry and pasture land use: A review, Energy Economics, 46, 548-554, DOI: 10.1016/j.eneco.2014.09.018. PIAMDDI
[14] Verma, M, T Hertel and N Diffenbaugh (2014): Market-oriented ethanol and corn-trade policies can reduce climate-induced US corn price volatility, Environmental Research Letters, 9(6), 064028, DOI: 10.1088/1748-9326/9/6/064028. PIAMDDI


[13] Baldos, UL and TW Hertel (2013): Looking back to move forward on model validation: insights from a global model of agricultural land use, Environ. Res. Lett., 8(3), 034024, DOI: 10.1088/1748-9326/8/3/034024. PIAMDDI
[12] Baldwin, JG and IS Wing (2013): The Spatiotemporal Evolution of U.S. Carbon Dioxide Emissions: Stylized Facts and Implications for Climate Policy, J. Reg. Sci., 53(4), 672-689, DOI: 10.1111/jors.12028. PIAMDDI
[11] Bistline, JE and JP Weyant (2013): Electric sector investments under technological and policy-related uncertainties: a stochastic programming approach, Clim. Change, 121(2), 143-160, DOI: 10.1007/s10584-013-0859-4. PIAMDDI
[10] Gately, CK, LR Hutyra, IS Wing and MN Brondfield (2013): A bottom up approach to on-road CO2 emissions estimates: improved spatial accuracy and applications for regional planning, Environ. Sci. Technol., 47(5), 2423-2430, DOI: 10.1021/es304238v. PIAMDDI
[9] Hertel, T, J Steinbuks and U Baldos (2013): Competition for land in the global bioeconomy, Agric. Econ., 44(s1), 129-138, DOI: 10.1111/agec.12057. PIAMDDI
[8] Hertel, TW and WE Tyner (2013): Market-mediated environmental impacts of biofuels, Global Food Security, 2(2), 131-137, DOI: 10.1016/j.gfs.2013.05.003. PIAMDDI
[7] Lanzi, E and IS Wing (2013): Capital Malleability, Emission Leakage and the Cost of Partial Climate Policies: General Equilibrium Analysis of the European Union Emission Trading System, Environ. Resour. Econ., 55(2), 257-289, DOI: 10.1007/s10640-012-9625-8. PIAMDDI
[6] Lobell, DB, UL Baldos and TW Hertel (2013): Climate adaptation as mitigation: the case of agricultural investments, Environ. Res. Lett., 8(1), 015012, DOI: 10.1088/1748-9326/8/1/015012. PIAMDDI
[5] Nordhaus, W and P Sztorc (2013): DICE 2013R: Introduction and User’s Manual, PIAMDDI
[4] Taheripour, F, TW Hertel and J Liu (2013): The role of irrigation in determining the global land use impacts of biofuels, Energy Sustain. Soc., 3(1), 4, DOI: 10.1186/2192-0567-3-4. PIAMDDI


[3] Applegate, PJ, N Kirchner, EJ Stone, K Keller and R Greve (2012): An assessment of key model parametric uncertainties in projections of Greenland Ice Sheet behavior, The Cryosphere, 6(3), 589-606, DOI: 10.5194/tc-6-589-2012. PIAMDDI
[2] Diffenbaugh, NS, TW Hertel, M Scherer and M Verma (2012): Response of corn markets to climate volatility under alternative energy futures, Nat. Clim. Chang., 2, 514-518, DOI: 10.1038/nclimate1491. PIAMDDI
[1] Golub, AA and TW Hertel (2012): Modeling Land-Use Change Impacts of Biofuels in the GTAP-BIO Framework, Climate Change Economics, 03(03), 1250015, DOI: 10.1142/S2010007812500157. PIAMDDI