Publications

PCHES-ADAPTSupported by the US Department of Energy, Office of Science under DOE Cooperative Agreement No. DE-SC0022141
PCHES-FRAMESupported by the US Department of Energy, Office of Science under DOE Cooperative Agreement No. DE-SC0016162 (download BibTeX citations).
PCHES-IAMDDISupported by the US Department of Energy, Office of Science under DOE Grant No. DE-SC005171 (download BibTeX citations).

2021


[99] Haqiqi, I, DS Grogan, TW Hertel and W Schlenker (2021): Quantifying the impacts of compound extremes on agriculture, Hydrology and Earth System Sciences, 25(2), 551-564, DOI: 10.5194/hess-25-551-2021. PCHES-FRAME
[98] Lafferty, DC, RL Sriver, I Haqiqi, TW Hertel, K Keller and RE Nicholas (2021): Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields, Communications Earth & Environment, 2(1), 1-10, DOI: 10.1038/s43247-021-00266-9. PCHES-FRAME
[97] Rimsaite, R, K Fisher-Vanden, S Olmstead and DS Grogan (2021): How Well Do U.S. Western Water Markets Convey Economic Information?, Land Economics, 97(1), 1-16, DOI: 10.3368/wple.97.1.050719-0061R. PCHES-FRAME
[96] Rougé, C, PM Reed, DS Grogan, S Zuidema, A Prusevich, S Glidden, JR Lamontagne and RB Lammers (2021): Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling, Hydrology and Earth System Sciences, 25(3), 1365-1388, DOI: 10.5194/hess-25-1365-2021. PCHES-FRAME
[95] Schlenker, W and CA Taylor (2021): Market expectations of a warming climate, Journal of Financial Economics, DOI: 10.1016/j.jfineco.2020.08.019. PCHES-FRAME
[94] Srikrishnan, V and K Keller (2021): Small increases in agent-based model complexity can result in large increases in required calibration data, Environmental Modelling & Software, 138, 104978, DOI: 10.1016/j.envsoft.2021.104978. PCHES-FRAME
[93] Sue Wing, I, E De Cian and MN Mistry (2021): Global vulnerability of crop yields to climate change, Journal of Environmental Economics and Management, 109, 102462, DOI: 10.1016/j.jeem.2021.102462. PCHES-FRAME
[92] Ye, H, RE Nicholas, S Roth and K Keller (2021): Considering uncertainties expands the lower tail of maize yield projections, PLoS ONE, 16(11), e0259180, DOI: 10.1371/journal.pone.0259180. PCHES-FRAME
[91] Zarekarizi, M, KJ Roop-Eckart, S Sharma and K Keller (2021): The FLOod Probability Interpolation Tool (FLOPIT): A Simple Tool to Improve Spatial Flood Probability Quantification and Communication, Water, 13(5), 666, DOI: 10.3390/w13050666. PCHES-FRAME

2020


[90] Baldos, UL, I Haqiqi, TW Hertel, M Horridge and J Liu (2020): SIMPLE-G: A multiscale framework for integration of economic and biophysical determinants of sustainability, Environmental Modelling & Software, 133, 104805, DOI: 10.1016/j.envsoft.2020.104805. PCHES-FRAME
[89] Caccese, RT and LB Fowler (2020): Come Hell or High-Water: Challenges for Adapting Pacific Northwest Water Law, Pace Environmental Law Review, 37(2), 319, https://digitalcommons.pace.edu/pelr/vol37/iss2/2. PCHES-FRAME
[88] Lee, BS, M Haran, RW Fuller, D Pollard and K Keller (2020): A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet, The Annals of Applied Statistics, 14(2), 605-634, DOI: 10.1214/19-AOAS1305. PCHES-FRAME
[87] Sun, S, BV Ordonez, MD Webster, J Liu, CJ Kucharik and T Hertel (2020): Fine-Scale Analysis of the Energy-Land-Water Nexus: Nitrate Leaching Implications of Biomass Cofiring in the Midwestern United States, Environmental Science & Technology, DOI: 10.1021/acs.est.9b07458. PCHES-FRAME
[86] Vega‐Westhoff, B, RL Sriver, C Hartin, TE Wong and K Keller (2020): The Role of Climate Sensitivity in Upper‐Tail Sea Level Rise Projections, Geophysical Research Letters, 47(6), 1137, DOI: 10.1029/2019GL085792. PCHES-FRAME
[85] Waldhoff, ST, I Sue Wing, J Edmonds, G Leng and X Zhang (2020): Future climate impacts on global agricultural yields over the 21st century, Environmental Research Letters, DOI: 10.1088/1748-9326/abadcb. PCHES-FRAME
[84] Zaveri, ED, DH Wrenn and K Fisher‐Vanden (2020): The impact of water access on short‐term migration in rural India, Australian Journal of Agricultural and Resource Economics, 64(2), 505-532, DOI: 10.1111/1467-8489.12364. PCHES-IAMDDI
[83] Zuidema, S, D Grogan, A Prusevich, R Lammers, S Gilmore and P Williams (2020): Interplay of changing irrigation technologies and water reuse: example from the upper Snake River basin, Idaho, USA, Hydrology and Earth System Sciences, 24(11), 5231-5249, DOI: 10.5194/hess-24-5231-2020. PCHES-FRAME

2019


[82] De Cian, E and I Sue Wing (2019): Global Energy Consumption in a Warming Climate, Environmental & Resource Economics, 72(2), 365-410, DOI: 10.1007/s10640-017-0198-4. PCHES-IAMDDI
[81] Haugen, MA, ML Stein, RL Sriver and EJ Moyer (2019): Future climate emulations using quantile regressions on large ensembles, Advances in Statistical Climatology, Meteorology and Oceanography, 5(1), 37-55, DOI: 10.5194/ascmo-5-37-2019. PCHES-FRAME
[80] 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-FRAME
[79] Hogan, E, RE Nicholas, K Keller, S Eilts and RL Sriver (2019): Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles, Journal of Climate, 32(9), 2591-2603, DOI: 10.1175/JCLI-D-18-0075.1. PCHES-FRAME PCHES-IAMDDI
[78] Merrick, JH and JP Weyant (2019): On choosing the resolution of normative models, European Journal of Operational Research, 279(2), 511-523, DOI: 10.1016/j.ejor.2019.06.017. PCHES-FRAME PCHES-IAMDDI
[77] van Ruijven, BJ, E De Cian and I Sue Wing (2019): Amplification of future energy demand growth due to climate change, Nature Communications, 10(1), 2762, DOI: 10.1038/s41467-019-10399-3. PCHES-FRAME PCHES-IAMDDI

2018


[76] 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. PCHES-IAMDDI
[75] 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. PCHES-IAMDDI
[74] 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-FRAME PCHES-IAMDDI
[73] 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. PCHES-IAMDDI
[72] 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. PCHES-IAMDDI

2017


[71] 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.
[70] 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. PCHES-IAMDDI
[69] Davlasheridze, M and Q Fan (2017): Household Adjustments to Hurricane Katrina, The Review of Regional Studies; New Brunswick, 47(1), 93-112, http://ezaccess.libraries.psu.edu/login?url=https://search.proquest.com/docview/1887355282. PCHES-IAMDDI
[68] 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. PCHES-IAMDDI
[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, Environ. Res. Lett., 12(3), 034017, DOI: 10.1088/1748-9326/aa5fb2. PCHES-IAMDDI
[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-FRAME PCHES-IAMDDI
[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-FRAME PCHES-IAMDDI
[64] Missirian, A and W Schlenker (2017): Asylum applications respond to temperature fluctuations, Science, 358(6370), 1610-1614, DOI: 10.1126/science.aao0432. PCHES-IAMDDI
[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-FRAME PCHES-IAMDDI
[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. PCHES-IAMDDI
[61] Ruckert, KL, Y Guan, AM Bakker, CE Forest and K Keller (2017): The effects of time-varying observation errors on semi-empirical sea-level projections, Climatic Change, 140(3), 349-360, DOI: 10.1007/s10584-016-1858-z. PCHES-IAMDDI
[60] 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-FRAME PCHES-IAMDDI

2016


[59] 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. PCHES-IAMDDI
[58] 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. PCHES-IAMDDI
[57] 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. PCHES-IAMDDI
[56] 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. PCHES-IAMDDI
[55] 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. PCHES-IAMDDI
[54] Olmstead, SM, KA Fisher-Vanden and R Rimsaite (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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI

2015


[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[47] Bistline, JE (2015): Fat-Tailed Uncertainty, Learning, and Climate Policy, Climate Change Economics, 06(02), 1550009, DOI: 10.1142/S2010007815500098. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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, http://onlinelibrary.wiley.com/doi/10.1002/2015GL064546/full. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI

2014


[35] Baldos, UL and TW Hertel (2014): Global food security in 2050: the role of agricultural productivity and climate change, The Australian Journal of Agricultural and Resource Economics, 58(4), 554-570, DOI: 10.1111/1467-8489.12048. PCHES-IAMDDI
[34] Bell, A, T Zhu, H Xie and C Ringler (2014): Climate–water interactions—Challenges for improved representation in integrated assessment models, Energy Economics, 46, 510-521, DOI: 10.1016/j.eneco.2013.12.016. PCHES-IAMDDI
[33] Bistline, JE (2014): Energy technology expert elicitations: An application to natural gas turbine efficiencies, Technological Forecasting and Social Change, 86, 177-187, DOI: 10.1016/j.techfore.2013.11.003. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[26] Fisher-Vanden, K, D Popp and I Sue 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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI

2013


[13] Baldos, UL and TW Hertel (2013): Looking back to move forward on model validation: insights from a global model of agricultural land use, Environmental Research Letters, 8(3), 034024, DOI: 10.1088/1748-9326/8/3/034024. PCHES-IAMDDI
[12] Baldwin, JG and I Sue Wing (2013): The Spatiotemporal Evolution of U.S. Carbon Dioxide Emissions: Stylized Facts and Implications for Climate Policy, Journal of Regional Science, 53(4), 672-689, DOI: 10.1111/jors.12028. PCHES-IAMDDI
[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. PCHES-IAMDDI
[10] Gately, CK, LR Hutyra, I Sue 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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[7] Lanzi, E and I Sue 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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[5] Nordhaus, W and P Sztorc (2013): DICE 2013R: Introduction and User’s Manual, http://www.econ.yale.edu/~nordhaus/homepage/documents/DICE_Manual_100413r1.pdf. PCHES-IAMDDI
[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. PCHES-IAMDDI

2012


[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. PCHES-IAMDDI
[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. PCHES-IAMDDI
[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. PCHES-IAMDDI