Subhrendu Gangopadhyay
Affiliations: | Environmental Studies | University of Colorado, Boulder, Boulder, CO, United States |
Area:
Environmental Sciences, Civil Engineering, GeneralGoogle:
"Subhrendu Gangopadhyay"
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Publications
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| Tillman FD, Gangopadhyay S, Pruitt T. (2020) Recent and projected precipitation and temperature changes in the Grand Canyon area with implications for groundwater resources. Scientific Reports. 10: 19740 |
| Martin JT, Pederson GT, Woodhouse CA, et al. (2020) Increased drought severity tracks warming in the United States' largest river basin. Proceedings of the National Academy of Sciences of the United States of America |
| Van Dusen P, Rajagopalan B, Lawrence DJ, et al. (2020) 21st Century flood risk projections at select sites for the U.S. National Park Service Climate Risk Management. 28: 100211 |
| Gangopadhyay S, McCabe G, Pederson G, et al. (2019) Risks of hydroclimatic regime shifts across the western United States. Scientific Reports. 9: 6303 |
| Martin JT, Pederson GT, Woodhouse CA, et al. (2019) 1200 years of Upper Missouri River streamflow reconstructed from tree rings Quaternary Science Reviews. 224: 105971 |
| Tillman FD, Pruitt T, Gangopadhyay S. (2018) Effect of spatial and temporal scale on simulated groundwater recharge investigations Advances in Water Resources. 119: 257-270 |
| Tillman FD, Gangopadhyay S, Pruitt T. (2017) Changes in Projected Spatial and Seasonal Groundwater Recharge in the Upper Colorado River Basin. Ground Water |
| Tillman FD, Gangopadhyay S, Pruitt T. (2017) Understanding the past to interpret the future: comparison of simulated groundwater recharge in the upper Colorado River basin (USA) using observed and general-circulation-model historical climate data Hydrogeology Journal. 25: 347-358 |
| Masbruch MD, Rumsey CA, Gangopadhyay S, et al. (2016) Analyses of infrequent (quasi‐decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management Water Resources Research. 52: 7819-7836 |
| Bracken C, Rajagopalan B, Cheng L, et al. (2016) Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain Water Resources Research. 52: 6643-6655 |