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Title: Shifts in hydroclimatology of US megaregions in response to climate change

Abstract

Most of the population and economic growth in the United States occurs in megaregions as the clustered metropolitan areas, whereas climate change may amplify negative impacts on water and natural resources. This study assesses shifts in regional hydroclimatology of fourteen US megaregions in response to climate change over the 21st century. Hydroclimatic projections were simulated using the Variable Infiltration Capacity (VIC) model driven by three downscaled climate models from the Multivariate Adaptive Constructed Analogs (MACA) dataset to cover driest to wettest future conditions in the conterminous United States (CONUS). Shifts in the regional hydroclimatolgy and basin characteristics of US megaregions were represented as a combination of changes in the aridity and evaporative indices using the Budyko framework and Fu's equation. Changes in the climate types of US megaregions were estimated using the Fine Gaussian Support Vector Machine (SVM) method. The results indicate that Los Angeles, San Diego, and San Francisco are more likely to experience less arid conditions with some shifts from Continental to Temperate climate type while the hydroclimatology of Houston may become drier with some shifts from Temperate to Continental climate type. Additionally, water yield is likely to decrease in Seattle. Change in the hydroclimatology of Denver andmore » Phoenix highly depends on the selected climate model. However, the basin characteristics of Phoenix have the highest sensitivity to climate change. Overall, the hydroclimatic conditions of Los Angeles, San Diego, Phoenix, Denver, and Houston have the highest sensitivity to climate change. Understanding of future shifts in hydroclimatology of megaregions can help decision-makers to attenuate negative consequences by implementing appropriate adaptation strategies, particularly in the water-scare megaregions.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [3]
  1. Colorado State Univ., Fort Collins, CO (United States). Dept. of Civil and Environmental Engineering
  2. USDA Forest Service, Fort Collins, CO (United States). Rocky Mountain Research Station
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division and Climate Change Science Institute
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1811375
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Environmental Research Communications
Additional Journal Information:
Journal Volume: 3; Journal Issue: 6; Journal ID: ISSN 2515-7620
Publisher:
IOP Science
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; hydroclimatology; Megaregions; climate change; Budyko framework

Citation Formats

Heidari, Hadi, Arabi, Mazdak, Warziniack, Travis, and Kao, Shih-Chieh. Shifts in hydroclimatology of US megaregions in response to climate change. United States: N. p., 2021. Web. doi:10.1088/2515-7620/ac0617.
Heidari, Hadi, Arabi, Mazdak, Warziniack, Travis, & Kao, Shih-Chieh. Shifts in hydroclimatology of US megaregions in response to climate change. United States. https://doi.org/10.1088/2515-7620/ac0617
Heidari, Hadi, Arabi, Mazdak, Warziniack, Travis, and Kao, Shih-Chieh. Mon . "Shifts in hydroclimatology of US megaregions in response to climate change". United States. https://doi.org/10.1088/2515-7620/ac0617. https://www.osti.gov/servlets/purl/1811375.
@article{osti_1811375,
title = {Shifts in hydroclimatology of US megaregions in response to climate change},
author = {Heidari, Hadi and Arabi, Mazdak and Warziniack, Travis and Kao, Shih-Chieh},
abstractNote = {Most of the population and economic growth in the United States occurs in megaregions as the clustered metropolitan areas, whereas climate change may amplify negative impacts on water and natural resources. This study assesses shifts in regional hydroclimatology of fourteen US megaregions in response to climate change over the 21st century. Hydroclimatic projections were simulated using the Variable Infiltration Capacity (VIC) model driven by three downscaled climate models from the Multivariate Adaptive Constructed Analogs (MACA) dataset to cover driest to wettest future conditions in the conterminous United States (CONUS). Shifts in the regional hydroclimatolgy and basin characteristics of US megaregions were represented as a combination of changes in the aridity and evaporative indices using the Budyko framework and Fu's equation. Changes in the climate types of US megaregions were estimated using the Fine Gaussian Support Vector Machine (SVM) method. The results indicate that Los Angeles, San Diego, and San Francisco are more likely to experience less arid conditions with some shifts from Continental to Temperate climate type while the hydroclimatology of Houston may become drier with some shifts from Temperate to Continental climate type. Additionally, water yield is likely to decrease in Seattle. Change in the hydroclimatology of Denver and Phoenix highly depends on the selected climate model. However, the basin characteristics of Phoenix have the highest sensitivity to climate change. Overall, the hydroclimatic conditions of Los Angeles, San Diego, Phoenix, Denver, and Houston have the highest sensitivity to climate change. Understanding of future shifts in hydroclimatology of megaregions can help decision-makers to attenuate negative consequences by implementing appropriate adaptation strategies, particularly in the water-scare megaregions.},
doi = {10.1088/2515-7620/ac0617},
journal = {Environmental Research Communications},
number = 6,
volume = 3,
place = {United States},
year = {Mon Jun 07 00:00:00 EDT 2021},
month = {Mon Jun 07 00:00:00 EDT 2021}
}

Works referenced in this record:

A rational function approach for estimating mean annual evapotranspiration: ESTIMATING MEAN ANNUAL EVAPOTRANSPIRATION
journal, February 2004

  • Zhang, L.; Hickel, K.; Dawes, W. R.
  • Water Resources Research, Vol. 40, Issue 2
  • DOI: 10.1029/2003WR002710

The effects of cumulative forest disturbance on streamflow in a large watershed in the central interior of British Columbia, Canada
journal, January 2012


A simple hydrologically based model of land surface water and energy fluxes for general circulation models
journal, January 1994

  • Liang, Xu; Lettenmaier, Dennis P.; Wood, Eric F.
  • Journal of Geophysical Research, Vol. 99, Issue D7
  • DOI: 10.1029/94JD00483

Near-term acceleration of hydroclimatic change in the western U.S.: NEAR-TERM WESTERN US SNOW
journal, October 2013

  • Ashfaq, Moetasim; Ghosh, Subimal; Kao, Shih-Chieh
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 19
  • DOI: 10.1002/jgrd.50816

Assessing Shifts in Regional Hydroclimatic Conditions of U.S. River Basins in Response to Climate Change over the 21st Century
journal, October 2020

  • Heidari, Hadi; Arabi, Mazdak; Warziniack, Travis
  • Earth's Future, Vol. 8, Issue 10
  • DOI: 10.1029/2020EF001657

America's emerging megaregions and implications for a national growth strategy
journal, April 2009


An Economic Geography of the United States: From Commutes to Megaregions
journal, November 2016


A large-scale, high-resolution hydrological model parameter data set for climate change impact assessment for the conterminous US
journal, January 2014

  • Oubeidillah, A. A.; Kao, S. -C.; Ashfaq, M.
  • Hydrology and Earth System Sciences, Vol. 18, Issue 1
  • DOI: 10.5194/hess-18-67-2014

Interaction of vegetation, climate and topography on evapotranspiration modelling at different time scales within the Budyko framework
journal, September 2019


Streamflow response to climate variability and human activities in the upper catchment of the Yellow River Basin
journal, November 2009

  • Zhao, FangFang; Xu, ZongXue; Zhang, Lu
  • Science in China Series E: Technological Sciences, Vol. 52, Issue 11
  • DOI: 10.1007/s11431-009-0354-3

A comparison of statistical downscaling methods suited for wildfire applications
journal, March 2011

  • Abatzoglou, John T.; Brown, Timothy J.
  • International Journal of Climatology, Vol. 32, Issue 5
  • DOI: 10.1002/joc.2312

North American Regional Reanalysis
journal, March 2006

  • Mesinger, Fedor; DiMego, Geoff; Kalnay, Eugenia
  • Bulletin of the American Meteorological Society, Vol. 87, Issue 3
  • DOI: 10.1175/BAMS-87-3-343

Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework
journal, September 2014


Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States
journal, December 2008

  • Daly, Christopher; Halbleib, Michael; Smith, Joseph I.
  • International Journal of Climatology, Vol. 28, Issue 15
  • DOI: 10.1002/joc.1688

Using the Köppen classification to quantify climate variation and change: An example for 1901–2010
journal, April 2013


Generating surfaces of daily meteorological variables over large regions of complex terrain
journal, March 1997


Chronic and Acute Coastal Flood Risks to Assets and Communities in Southeast Florida
journal, July 2020


Planning for “Megaregions” in the United States
journal, November 2007


Global assessment of trends in wetting and drying over land
journal, September 2014

  • Greve, Peter; Orlowsky, Boris; Mueller, Brigitte
  • Nature Geoscience, Vol. 7, Issue 10
  • DOI: 10.1038/ngeo2247

Representation of spatial and temporal variability in large-domain hydrological models: case study for a mesoscale pre-Alpine basin
journal, January 2016

  • Melsen, Lieke; Teuling, Adriaan; Torfs, Paul
  • Hydrology and Earth System Sciences, Vol. 20, Issue 6
  • DOI: 10.5194/hess-20-2207-2016

Megaregion Projections 2015 to 2045 with Transportation Policy Implications
journal, January 2017

  • Nelson, Arthur C.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2654, Issue 1
  • DOI: 10.3141/2654-02

Loss of a lake system in a megacity: The impact of urban expansion on seasonal meteorology in Mexico City
journal, April 2016

  • Benson‐Lira, V.; Georgescu, M.; Kaplan, S.
  • Journal of Geophysical Research: Atmospheres, Vol. 121, Issue 7
  • DOI: 10.1002/2015JD024102

The Role of Urban Growth in Resilience of Communities Under Flood Risk
journal, March 2020

  • Hemmati, Mona; Ellingwood, Bruce R.; Mahmoud, Hussam N.
  • Earth's Future, Vol. 8, Issue 3
  • DOI: 10.1029/2019EF001382

Dominant effect of increasing forest biomass on evapotranspiration: interpretations of movement in Budyko space
journal, January 2018

  • Jaramillo, Fernando; Cory, Neil; Arheimer, Berit
  • Hydrology and Earth System Sciences, Vol. 22, Issue 1
  • DOI: 10.5194/hess-22-567-2018

Reliable, resilient and sustainable water management: the Safe & SuRe approach: Reliable, Resilient, and Sustainable Water Management
journal, June 2016

  • Butler, David; Ward, Sarah; Sweetapple, Chris
  • Global Challenges, Vol. 1, Issue 1
  • DOI: 10.1002/gch2.1010

Hydroclimatic regimes: a distributed water-balance framework for hydrologic assessment, classification, and management
journal, January 2014

  • Weiskel, P. K.; Wolock, D. M.; Zarriello, P. J.
  • Hydrology and Earth System Sciences, Vol. 18, Issue 10
  • DOI: 10.5194/hess-18-3855-2014

Future Hydroclimatic Impacts on Africa: Beyond the Paris Agreement
journal, July 2019

  • Piemontese, Luigi; Fetzer, Ingo; Rockström, Johan
  • Earth's Future, Vol. 7, Issue 7
  • DOI: 10.1029/2019EF001169

Ecosystem resilience despite large-scale altered hydroclimatic conditions
journal, January 2013

  • Ponce-Campos, Guillermo E.; Moran, M. Susan; Huete, Alfredo
  • Nature, Vol. 494, Issue 7437
  • DOI: 10.1038/nature11836

Flexible vector-based spatial configurations in land models
journal, January 2020

  • Gharari, Shervan; Clark, Martyn P.; Mizukami, Naoki
  • Hydrology and Earth System Sciences, Vol. 24, Issue 12
  • DOI: 10.5194/hess-24-5953-2020

Roots, storms and soil pores: Incorporating key ecohydrological processes into Budyko’s hydrological model
journal, May 2012


Impacts of Climate Change on Hydroclimatic Conditions of U.S. National Forests and Grasslands
journal, January 2021

  • Heidari, Hadi; Warziniack, Travis; Brown, Thomas C.
  • Forests, Vol. 12, Issue 2
  • DOI: 10.3390/f12020139

Regional hydrologic response to climate change in the conterminous United States using high-resolution hydroclimate simulations
journal, August 2016


Global pattern for the effect of climate and land cover on water yield
journal, January 2015

  • Zhou, Guoyi; Wei, Xiaohua; Chen, Xiuzhi
  • Nature Communications, Vol. 6, Issue 1
  • DOI: 10.1038/ncomms6918

Urban adaptation can roll back warming of emerging megapolitan regions
journal, February 2014

  • Georgescu, M.; Morefield, P. E.; Bierwagen, B. G.
  • Proceedings of the National Academy of Sciences, Vol. 111, Issue 8
  • DOI: 10.1073/pnas.1322280111

Improving the Representation of Subsurface Water Movement in Land Models
journal, December 2019

  • Gharari, Shervan; Clark, Martyn P.; Mizukami, Naoki
  • Journal of Hydrometeorology, Vol. 20, Issue 12
  • DOI: 10.1175/JHM-D-19-0108.1

Evaluation of water-energy balance frameworks to predict the sensitivity of streamflow to climate change
journal, January 2012

  • Renner, M.; Seppelt, R.; Bernhofer, C.
  • Hydrology and Earth System Sciences, Vol. 16, Issue 5
  • DOI: 10.5194/hess-16-1419-2012

Soil Water Balance and Ecosystem Response to Climate Change
journal, November 2004

  • Porporato, Amilcare; Daly, Edoardo; Rodriguez‐Iturbe, Ignacio
  • The American Naturalist, Vol. 164, Issue 5
  • DOI: 10.1086/424970

The effects of deforestation and climate variability on the streamflow of the Araguaia River, Brazil
journal, February 2011


A Coherent Statistical Model for Coastal Flood Frequency Analysis Under Nonstationary Sea Level Conditions
journal, February 2019

  • Ghanbari, Mahshid; Arabi, Mazdak; Obeysekera, Jayantha
  • Earth's Future, Vol. 7, Issue 2
  • DOI: 10.1029/2018EF001089