Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin
Abstract
Abstract Probable maximum precipitation (PMP), defined as the largest rainfall depth that could physically occur under a series of adverse atmospheric conditions, has been an important design criterion for critical infrastructures such as dams and nuclear power plants. To understand how PMP may respond to projected future climate forcings, we used a physics‐based numerical weather simulation model to estimate PMP across various durations and areas over the Alabama‐Coosa‐Tallapoosa (ACT) River Basin in the southeastern United States. Six sets of Weather Research and Forecasting (WRF) model experiments driven by both reanalysis and global climate model projections, with a total of 120 storms, were conducted. The depth‐area‐duration relationship was derived for each set of WRF simulations and compared with the conventional PMP estimates. Our results showed that PMP driven by projected future climate forcings is higher than 1981–2010 baseline values by around 20% in the 2021–2050 near‐future and 44% in the 2071–2100 far‐future periods. The additional sensitivity simulations of background air temperature warming also showed an enhancement of PMP, suggesting that atmospheric warming could be one important factor controlling the increase in PMP. In light of the projected increase in precipitation extremes under a warming environment, the reasonableness and role of PMPmore »
- Authors:
-
[2];
[3];
[2];
[5];
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst.; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division; Univ. of Tennessee, Knoxville, TN (United States). Bredesen Center
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst.; Univ. of Tennessee, Knoxville, TN (United States). Bredesen Center; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst.; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Nuclear Security and Isotope Technology Division
- Forschungszentrum Julich (Germany). Inst. of Bio- and Geosciences, Agrosphere (IBG-3)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Science Inst.; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division; RAND Corporation, Santa Monica, CA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering Division
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); USDOE Laboratory Directed Research and Development (LDRD) Program
- OSTI Identifier:
- 1366376
- Alternate Identifier(s):
- OSTI ID: 1402405
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 122; Journal Issue: 9; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Probable maximum precipitation; climate change; WRF; CFSR; ACT
Citation Formats
Rastogi, Deeksha, Kao, Shih-Chieh, Ashfaq, Moetasim, Mei, Rui, Kabela, Erik D., Gangrade, Sudershan, Naz, Bibi S., Preston, Benjamin L., Singh, Nagendra, and Anantharaj, Valentine G. Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin. United States: N. p., 2017.
Web. doi:10.1002/2016JD026001.
Rastogi, Deeksha, Kao, Shih-Chieh, Ashfaq, Moetasim, Mei, Rui, Kabela, Erik D., Gangrade, Sudershan, Naz, Bibi S., Preston, Benjamin L., Singh, Nagendra, & Anantharaj, Valentine G. Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin. United States. https://doi.org/10.1002/2016JD026001
Rastogi, Deeksha, Kao, Shih-Chieh, Ashfaq, Moetasim, Mei, Rui, Kabela, Erik D., Gangrade, Sudershan, Naz, Bibi S., Preston, Benjamin L., Singh, Nagendra, and Anantharaj, Valentine G. Thu .
"Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin". United States. https://doi.org/10.1002/2016JD026001. https://www.osti.gov/servlets/purl/1366376.
@article{osti_1366376,
title = {Effects of climate change on probable maximum precipitation: A sensitivity study over the Alabama-Coosa-Tallapoosa River Basin},
author = {Rastogi, Deeksha and Kao, Shih-Chieh and Ashfaq, Moetasim and Mei, Rui and Kabela, Erik D. and Gangrade, Sudershan and Naz, Bibi S. and Preston, Benjamin L. and Singh, Nagendra and Anantharaj, Valentine G.},
abstractNote = {Abstract Probable maximum precipitation (PMP), defined as the largest rainfall depth that could physically occur under a series of adverse atmospheric conditions, has been an important design criterion for critical infrastructures such as dams and nuclear power plants. To understand how PMP may respond to projected future climate forcings, we used a physics‐based numerical weather simulation model to estimate PMP across various durations and areas over the Alabama‐Coosa‐Tallapoosa (ACT) River Basin in the southeastern United States. Six sets of Weather Research and Forecasting (WRF) model experiments driven by both reanalysis and global climate model projections, with a total of 120 storms, were conducted. The depth‐area‐duration relationship was derived for each set of WRF simulations and compared with the conventional PMP estimates. Our results showed that PMP driven by projected future climate forcings is higher than 1981–2010 baseline values by around 20% in the 2021–2050 near‐future and 44% in the 2071–2100 far‐future periods. The additional sensitivity simulations of background air temperature warming also showed an enhancement of PMP, suggesting that atmospheric warming could be one important factor controlling the increase in PMP. In light of the projected increase in precipitation extremes under a warming environment, the reasonableness and role of PMP deserve more in‐depth examination.},
doi = {10.1002/2016JD026001},
journal = {Journal of Geophysical Research: Atmospheres},
number = 9,
volume = 122,
place = {United States},
year = {Thu Apr 13 00:00:00 EDT 2017},
month = {Thu Apr 13 00:00:00 EDT 2017}
}
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Figures / Tables:
Table 1: Selected historic extreme storms in the ACT river basin along with Daymet/PRISM observations and CFSR-WRF-CT simulation results. The R2 and RMSE between CFSR-WRF-CT and Daymet/PRISM are also reported
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Works referencing / citing this record:
Sensitivity of Extreme Rainfall to Atmospheric Moisture Content in the Arid/Semiarid Southwestern United States: Implications for Probable Maximum Precipitation Estimates
journal, February 2018
- Yang, Long; Smith, James
- Journal of Geophysical Research: Atmospheres, Vol. 123, Issue 3
Figures / Tables found in this record:
Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.