DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates

Abstract

Methodological choices can have strong effects on projections of climate change impacts on hydrology. In this study, we investigate the ways in which four different steps in the modeling chain influence the spread in projected changes of different aspects of hydrology. To form the basis of these analyses, we constructed an ensemble of 160 simulations from permutations of two Representative Concentration Pathways, 10 global climate models, two downscaling methods, and four hydrologic model implementations. The study is situated in the Pacific Northwest of North America, which has relevance to a diverse, multinational cast of stakeholders. We analyze the effects of each modeling decision on changes in gridded hydrologic variables of snow water equivalent and runoff, as well as streamflow at point locations. Results show that the choice of representative concentration pathway or global climate model is the driving contributor to the spread in annual streamflow volume and timing. On the other hand, hydrologic model implementation explains most of the spread in changes in low flows. Finally, by grouping the results by climate region the results have the potential to be generalized beyond the Pacific Northwest. Future hydrologic impact assessments can use these results to better tailor their modeling efforts.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [1];  [5];  [2]; ORCiD logo [7];  [8]; ORCiD logo [9]
  1. Univ. of Washington, Seattle, WA (United States)
  2. Oregon State Univ., Corvallis, OR (United States)
  3. United States Army Corps of Engineers, Climate Preparedness and Resilience Program, Seattle, WA (United States)
  4. National Center for Atmospheric Research, Boulder, CO (United States); University of Saskatchewan, Canmore, Alberta (Canada)
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  7. Princeton Univ., NJ (United States)
  8. Bonneville Power Administration, Portland, OR (United States)
  9. Univ. of California, Los Angeles, CA (United States)
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:
1528698
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Earth's Future
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 2328-4277
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; hydrologic ensemble spread; climate impacts; hydroclimatology; Pacific Northwest

Citation Formats

Chegwidden, Oriana S., Nijssen, Bart, Rupp, David E., Arnold, Jeffrey R., Clark, Martyn P., Hamman, Joseph J., Kao, Shih‐Chieh, Mao, Yixin, Mizukami, Naoki, Mote, Philip, Pan, Ming, Pytlak, Erik, and Xiao, Mu. How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates. United States: N. p., 2019. Web. doi:10.1029/2018EF001047.
Chegwidden, Oriana S., Nijssen, Bart, Rupp, David E., Arnold, Jeffrey R., Clark, Martyn P., Hamman, Joseph J., Kao, Shih‐Chieh, Mao, Yixin, Mizukami, Naoki, Mote, Philip, Pan, Ming, Pytlak, Erik, & Xiao, Mu. How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates. United States. https://doi.org/10.1029/2018EF001047
Chegwidden, Oriana S., Nijssen, Bart, Rupp, David E., Arnold, Jeffrey R., Clark, Martyn P., Hamman, Joseph J., Kao, Shih‐Chieh, Mao, Yixin, Mizukami, Naoki, Mote, Philip, Pan, Ming, Pytlak, Erik, and Xiao, Mu. Tue . "How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates". United States. https://doi.org/10.1029/2018EF001047. https://www.osti.gov/servlets/purl/1528698.
@article{osti_1528698,
title = {How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates},
author = {Chegwidden, Oriana S. and Nijssen, Bart and Rupp, David E. and Arnold, Jeffrey R. and Clark, Martyn P. and Hamman, Joseph J. and Kao, Shih‐Chieh and Mao, Yixin and Mizukami, Naoki and Mote, Philip and Pan, Ming and Pytlak, Erik and Xiao, Mu},
abstractNote = {Methodological choices can have strong effects on projections of climate change impacts on hydrology. In this study, we investigate the ways in which four different steps in the modeling chain influence the spread in projected changes of different aspects of hydrology. To form the basis of these analyses, we constructed an ensemble of 160 simulations from permutations of two Representative Concentration Pathways, 10 global climate models, two downscaling methods, and four hydrologic model implementations. The study is situated in the Pacific Northwest of North America, which has relevance to a diverse, multinational cast of stakeholders. We analyze the effects of each modeling decision on changes in gridded hydrologic variables of snow water equivalent and runoff, as well as streamflow at point locations. Results show that the choice of representative concentration pathway or global climate model is the driving contributor to the spread in annual streamflow volume and timing. On the other hand, hydrologic model implementation explains most of the spread in changes in low flows. Finally, by grouping the results by climate region the results have the potential to be generalized beyond the Pacific Northwest. Future hydrologic impact assessments can use these results to better tailor their modeling efforts.},
doi = {10.1029/2018EF001047},
journal = {Earth's Future},
number = ,
volume = 7,
place = {United States},
year = {Tue Apr 30 00:00:00 EDT 2019},
month = {Tue Apr 30 00:00:00 EDT 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 48 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

A large-scale horizontal routing model to be coupled to land surface parametrization schemes
journal, October 1996


Quantifying different sources of uncertainty in hydrological projections in an Alpine watershed
journal, January 2012

  • Dobler, C.; Hagemann, S.; Wilby, R. L.
  • Hydrology and Earth System Sciences, Vol. 16, Issue 11
  • DOI: 10.5194/hess-16-4343-2012

Updated world map of the Köppen-Geiger climate classification
journal, January 2007

  • Peel, M. C.; Finlayson, B. L.; McMahon, T. A.
  • Hydrology and Earth System Sciences, Vol. 11, Issue 5
  • DOI: 10.5194/hess-11-1633-2007

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

Inverse streamflow routing
journal, January 2013


Uncertainty assessment of climate change impacts for hydrologically distinct river basins
journal, October 2012


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

Inter-comparison of multiple statistically downscaled climate datasets for the Pacific Northwest, USA
journal, February 2018

  • Jiang, Yueyang; Kim, John B.; Still, Christopher J.
  • Scientific Data, Vol. 5, Issue 1
  • DOI: 10.1038/sdata.2018.16

Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK. Part 2: future climate
journal, September 2008


The implications of climate change scenario selection for future streamflow projection in the Upper Colorado River Basin
journal, January 2012

  • Harding, B. L.; Wood, A. W.; Prairie, J. R.
  • Hydrology and Earth System Sciences, Vol. 16, Issue 11
  • DOI: 10.5194/hess-16-3989-2012

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
journal, October 2009


Assessing the uncertainties of hydrologic model selection in climate change impact studies
journal, March 2011

  • Najafi, M. R.; Moradkhani, H.; Jung, I. W.
  • Hydrological Processes, Vol. 25, Issue 18
  • DOI: 10.1002/hyp.8043

The potential to narrow uncertainty in projections of regional precipitation change
journal, April 2010


Quantifying uncertainty sources in an ensemble of hydrological climate-impact projections: UNCERTAINTY SOURCES IN CLIMATE-IMPACT PROJECTIONS
journal, March 2013

  • Bosshard, T.; Carambia, M.; Goergen, K.
  • Water Resources Research, Vol. 49, Issue 3
  • DOI: 10.1029/2011wr011533

Spatial and Temporal Change in the Hydro-Climatology of the Canadian Portion of the Columbia River Basin under Multiple Emissions Scenarios
journal, September 2013


Dramatic declines in snowpack in the western US
journal, March 2018

  • Mote, Philip W.; Li, Sihan; Lettenmaier, Dennis P.
  • npj Climate and Atmospheric Science, Vol. 1, Issue 1
  • DOI: 10.1038/s41612-018-0012-1

Hierarchy of climate and hydrological uncertainties in transient low-flow projections
journal, January 2016

  • Vidal, Jean-Philippe; Hingray, Benoît; Magand, Claire
  • Hydrology and Earth System Sciences, Vol. 20, Issue 9
  • DOI: 10.5194/hess-20-3651-2016

Impacts of climate change in three hydrologic regimes in British Columbia, Canada: IMPACTS OF CLIMATE CHANGE IN BRITISH COLUMBIA
journal, December 2012

  • Schnorbus, Markus; Werner, Arelia; Bennett, Katrina
  • Hydrological Processes, Vol. 28, Issue 3
  • DOI: 10.1002/hyp.9661

The physical basis of glacier volume-area scaling
journal, September 1997

  • Bahr, David B.; Meier, Mark F.; Peckham, Scott D.
  • Journal of Geophysical Research: Solid Earth, Vol. 102, Issue B9
  • DOI: 10.1029/97jb01696

A large-scale horizontal routing model to be coupled to land surface parametrization schemes
journal, January 1996

  • Lohmann, Dag; Nolte-Holube, Ralph; Raschke, Ehrhard
  • Tellus A: Dynamic Meteorology and Oceanography, Vol. 48, Issue 5
  • DOI: 10.3402/tellusa.v48i5.12200

An Overview of the Columbia Basin Climate Change Scenarios Project: Approach, Methods, and Summary of Key Results
journal, September 2013


Sources of uncertainty in hydrological climate impact assessment: a cross-scale study
journal, December 2017

  • Hattermann, F. F.; Vetter, T.; Breuer, L.
  • Environmental Research Letters, Vol. 13, Issue 1
  • DOI: 10.1088/1748-9326/aa9938

Implications of 21st century climate change for the hydrology of Washington State
journal, May 2010


Evaluation of CMIP5 20 th century climate simulations for the Pacific Northwest USA : CMIP5 20TH CENTURY CLIMATE OF THE PNW
journal, October 2013

  • Rupp, David E.; Abatzoglou, John T.; Hegewisch, Katherine C.
  • Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 19
  • DOI: 10.1002/jgrd.50843

Projections of 21st century climate of the Columbia River Basin
journal, October 2016


The Potential to Narrow Uncertainty in Regional Climate Predictions
journal, August 2009

  • Hawkins, Ed; Sutton, Rowan
  • Bulletin of the American Meteorological Society, Vol. 90, Issue 8
  • DOI: 10.1175/2009bams2607.1

Seasonal Climate Variability and Change in the Pacific Northwest of the United States
journal, March 2014


Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments
journal, October 2014

  • Addor, Nans; Rössler, Ole; Köplin, Nina
  • Water Resources Research, Vol. 50, Issue 10
  • DOI: 10.1002/2014WR015549

Assessing the Impacts of Global Warming on Snowpack in the Washington Cascades
journal, May 2009


Overall uncertainty study of the hydrological impacts of climate change for a Canadian watershed: OVERALL UNCERTAINTY OF CLIMATE CHANGE IMPACTS ON HYDROLOGY
journal, December 2011

  • Chen, Jie; Brissette, François P.; Poulin, Annie
  • Water Resources Research, Vol. 47, Issue 12
  • DOI: 10.1029/2011WR010602

Shuffled complex evolution approach for effective and efficient global minimization
journal, March 1993

  • Duan, Q. Y.; Gupta, V. K.; Sorooshian, S.
  • Journal of Optimization Theory and Applications, Vol. 76, Issue 3
  • DOI: 10.1007/BF00939380

An intercomparison of statistical downscaling methods used for water resource assessments in the United States
journal, September 2014

  • Gutmann, Ethan; Pruitt, Tom; Clark, Martyn P.
  • Water Resources Research, Vol. 50, Issue 9
  • DOI: 10.1002/2014WR015559

The coastal streamflow flux in the Regional Arctic System Model: COASTAL STREAMFLOW FLUX IN RASM
journal, March 2017

  • Hamman, Joseph; Nijssen, Bart; Roberts, Andrew
  • Journal of Geophysical Research: Oceans, Vol. 122, Issue 3
  • DOI: 10.1002/2016JC012323

Detection and Attribution of Streamflow Timing Changes to Climate Change in the Western United States
journal, July 2009


Internal variability and model uncertainty components in future hydrometeorological projections: The Alpine Durance basin
journal, April 2014

  • Lafaysse, M.; Hingray, B.; Mezghani, A.
  • Water Resources Research, Vol. 50, Issue 4
  • DOI: 10.1002/2013WR014897

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

A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions
journal, December 2013


Effects of Hydrologic Model Choice and Calibration on the Portrayal of Climate Change Impacts
journal, April 2015

  • Mendoza, Pablo A.; Clark, Martyn P.; Mizukami, Naoki
  • Journal of Hydrometeorology, Vol. 16, Issue 2
  • DOI: 10.1175/JHM-D-14-0104.1

Towards seamless large-domain parameter estimation for hydrologic models: LARGE-DOMAIN MODEL PARAMETERS
journal, September 2017

  • Mizukami, Naoki; Clark, Martyn P.; Newman, Andrew J.
  • Water Resources Research, Vol. 53, Issue 9
  • DOI: 10.1002/2017WR020401

Declining Mountain Snowpack in Western North America*
journal, January 2005

  • Mote, Philip W.; Hamlet, Alan F.; Clark, Martyn P.
  • Bulletin of the American Meteorological Society, Vol. 86, Issue 1
  • DOI: 10.1175/BAMS-86-1-39

A New Look at Snowpack Trends in the Cascade Mountains
journal, May 2010

  • Stoelinga, Mark T.; Albright, Mark D.; Mass, Clifford F.
  • Journal of Climate, Vol. 23, Issue 10
  • DOI: 10.1175/2009JCLI2911.1

An Overview of CMIP5 and the Experiment Design
journal, April 2012

  • Taylor, Karl E.; Stouffer, Ronald J.; Meehl, Gerald A.
  • Bulletin of the American Meteorological Society, Vol. 93, Issue 4
  • DOI: 10.1175/BAMS-D-11-00094.1

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


Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs
journal, January 2004


Impacts of long-term temperature change and variability on electricity investments
journal, March 2021


Mapping (dis)agreement in hydrologic projections
journal, January 2018

  • Melsen, Lieke A.; Addor, Nans; Mizukami, Naoki
  • Hydrology and Earth System Sciences, Vol. 22, Issue 3
  • DOI: 10.5194/hess-22-1775-2018

Updated world map of the Köppen-Geiger climate classification
journal, January 2007

  • Peel, M. C.; Finlayson, B. L.; McMahon, T. A.
  • Hydrology and Earth System Sciences Discussions, Vol. 4, Issue 2
  • DOI: 10.5194/hessd-4-439-2007

Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments
text, January 2014

  • Addor, Nans; Rössler, Ole; Köplin, Nina
  • American Geophysical Union
  • DOI: 10.5167/uzh-99204

Hydrologic Response Of The Columbia River System To Climate Change
dataset, January 2017


Works referencing / citing this record:

Projected Changes in Interannual Variability of Peak Snowpack Amount and Timing in the Western United States
journal, August 2019

  • Marshall, Adrienne M.; Abatzoglou, John T.; Link, Timothy E.
  • Geophysical Research Letters, Vol. 46, Issue 15
  • DOI: 10.1029/2019gl083770