Filter Research
Filter by Research Areas
Content Type
Journal Article Read
Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates

Paul D. Bates Niall Quinn Christopher Sampson Andrew Smith Oliver Wing Jeison Sosa James Savage Gaia Olcese Jeff Neal Guy Schumann Laura Giustarini Gemma Coxon Jeremy R. Porter Mike F. Amodeo Ziyan Chu Sharai Lewis‐Gruss Neil B. Freeman Trevor Houser Michael Delgado Ali Hamidi Ian Bolliger Kelly E. McCusker Kerry Emanuel Celso M. Ferreira Arslaan Khalid Ivan D. Haigh Anaïs Couasnon Robert E. Kopp Solomon Hsiang Witold F. Krajewski. Water Resources Research, Issue 57, Volume 2. February 2021. Available at: https://doi.org/10.1029/2020WR028673.

This study develops a method to estimate past, present, and future flood risk for all properties in the conterminous United States whether affected by river, coastal or rainfall flooding.
Read
Working Paper View
Updating the United States Government’s Social Cost of Carbon

Carleton, Tamma and Greenstone, Michael, Updating the United States Government’s Social Cost of Carbon (January 14, 2021). University of Chicago, Becker Friedman Institute for Economics Working Paper No. 2021-04, Available at SSRN: https://ssrn.com/abstract=3764255

This paper outlines a two-step process to return the United States government’s Social Cost of Carbon (SCC) to the frontier of economics and climate science.
Read
Journal Article Read
Crop switching reduces agricultural losses from climate change in the United States by half under RCP 8.5

Rising, J., Devineni, N. Crop switching reduces agricultural losses from climate change in the United States by half under RCP 8.5. Nat Commun 11, 4991 (2020). https://doi.org/10.1038/s41467-020-18725-w

A key strategy for agriculture to adapt to climate change is by switching crops and relocating crop production. We develop an approach to estimate the economic potential of crop reallocation using a Bayesian hierarchical model of yields. We apply the model to six crops in the United States, and show that it outperforms traditional empirical models under cross-validation.
Read
Journal Article Read
The Evolving Distribution of Relative Humidity Conditional Upon Daily Maximum Temperature in a Warming Climate

Yuan, J., Stein, M. L., & Kopp, R. E. (2020). The evolving distribution of relative humidity conditional upon daily maximum temperature in a warming climate. Journal of Geophysical Research: Atmospheres, 125, e2019JD032100. https://doi.org/10.1029/2019JD032100

The impacts of heat waves in a warming climate depend not only on changing temperatures but also on changing humidity. This study investigates the long‐term evolution of summertime humidity and daily maximum temperature near four U.S. cities, New York City, Chicago, Phoenix, and New Orleans, under a high‐emissions pathway. The results suggest that, despite a modest decrease in median relative humidity, heat stress--a measure of both humidity and temperature--will increase faster than temperature projections alone would indicate.
Read
Load More