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Climatic Change

, Volume 149, Issue 3–4, pp 427–441 | Cite as

Sensitivity of streamflow to climate change in California

  • Theodore E. W. Grantham
  • Daren M. Carlisle
  • Gregory J. McCabe
  • Jeanette K. Howard
Article

Abstract

Climate change is rapidly altering the global water cycle, exposing vulnerabilities in both social and environmental systems. However, uncertainty in future climate predictions makes it difficult to design and evaluate strategies for building climate resilience. In regions such as California, characterized by stressed water-supply systems, high natural climate variability, and substantial uncertainty in future precipitation projections, alternative approaches to assessing climate risks may be useful. Here, we develop a hydrologic sensitivity approach to estimate regional streamflow responses to climate change in California. We use statistical models to predict monthly streamflow from physical catchment features and evaluate how flow changes with incremental changes in precipitation and temperature. The results indicate unique regional and monthly flow responses to climate change, with early summer flows (May–July) in interior mountain region having the greatest sensitivity to temperature and winter flows (December–March) in the xeric region having the greatest sensitivity to precipitation. When evaluated over the range of global climate model projections for mid-century (2040–2069), models generally suggest shifts in streamflow regimes towards higher wet season flows and lower dry season flows relative to historical conditions. The sensitivity analysis provides insight into catchment- and regional-scale hydrologic responses in California and complements other approaches for understanding the consequences of climatic change for water and risk management.

Supplementary material

10584_2018_2244_MOESM1_ESM.pdf (26 kb)
Figure S1 Model performance in predicting mean monthly streamflow in three regions of California (PDF 25.5 kb)
10584_2018_2244_MOESM2_ESM.xlsx (24 kb)
Table S1 Description of predictor variables evaluated in development of monthly streamflow models (XLSX 23.8 kb)
10584_2018_2244_MOESM3_ESM.xlsx (40 kb)
Table S2 Final set of predictor variables used in each monthly flow model for each region (XLSX 40.1 kb)
10584_2018_2244_MOESM4_ESM.xlsx (36 kb)
Table S3 Hydrologic and catchment characteristics of reference gages and sampled stream segments within HUC8 watersheds of each model region (XLSX 36.3 kb)
10584_2018_2244_MOESM5_ESM.xlsx (41 kb)
Table S4 Range of GCM-predicted temperature and precipitation change in each study region for 2040–2069 (XLSX 41.4 kb)
10584_2018_2244_MOESM6_ESM.xlsx (133 kb)
Table S5 Sensitivity of flow to changes in temperature and precipitation in select streams from California HUC8 watersheds (XLSX 132 kb)

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  • Theodore E. W. Grantham
    • 1
  • Daren M. Carlisle
    • 2
  • Gregory J. McCabe
    • 3
  • Jeanette K. Howard
    • 4
  1. 1.Department of Environmental Science, Policy, and ManagementUniversity of California, BerkeleyBerkeleyUSA
  2. 2.National Water-Quality ProgramU.S. Geological SurveyLawrenceUSA
  3. 3.U.S. Geological SurveyDenverUSA
  4. 4.The Nature ConservancySan FranciscoUSA

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