R. E. Kopp, R. M. Horton, C. M. Little, J. X. Mitrovica, M. Oppenheimer, D. J. Rasmussen, B. H. Strauss, and C. Tebaldi (2014). Probabilistic 21st and 22nd century sea-level projections at a global network of tide gauge sites. Earth’s Future 2, 287–306, doi:10.1002/2014EF000239.
The Climate Impact Lab is developing a highly-resolved climate projection frameworks capable of producing both the detail and the likelihood assessments needed for quantitative assessment of future climate risk
The Climate Impact Lab’s sea-level rise projections have been widely used in the US: it is a key input to the Fourth National Climate Assessment and underpins numerous state- and city-level assessments.
Climate Science Research
Empirically Calibrating Damage Functions and Considering Stochasticity When Integrated Assessment Models Are Used as Decision Tools
Kopp, R.E., Hsiang, S.M. and M. Oppenheimer (2013). Empirically calibrating damage functions and considering stochasticity when integrated assessment models are used as decision tools. In: Impacts World 2013 Conference Proceedings. Potsdam: Potsdam Institute for Climate Impact Research, pp. 834–843.
D. J. Rasmussen, M. Meinshausen, and R. E. Kopp (2016). Probability-weighted ensembles of U.S. county-level climate projections for climate risk analysis. Journal of Applied Meteorology and Climatology 55, 2301-2322. doi:10.1175/JAMC-D-15-0302.1.
M. K. Buchanan, M. Oppenheimer, and R. E. Kopp (2017). Amplification of flood frequencies with local sea level rise and emerging flood regimes. Environmental Research Letters 12, 064009. doi: 10.1088/1748-9326/aa6cb3.
Solomon Hsiang, Robert Kopp, Amir Jina, Michael Delgado, James Rising, Shashank Mohan, Robert Muir-Wood, D. J. Rasmussen, Michael Mastrandrea, Paul Wilson, Kate Larsen and Trevor Houser (2014). American Climate Prospectus: Economic Risks in the United States.
Hsiang, S., Kopp, R.E., Jina, A., Rising, J., Delgado M., Mohan, S., Rasmussen, D.J., Muir-Wood, R., Wilson, P., Oppenheimer, M., Larsen, K., and Houser, T. (2017). Estimating economic damage from climate change in the United States. Science. doi:10.1126/science.aal4369