4.7 Article

Seasonal hydrologic responses to climate change in the Pacific Northwest

期刊

WATER RESOURCES RESEARCH
卷 51, 期 4, 页码 1959-1976

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2014WR015909

关键词

seasonal changes; temperature; precipitation; Pacific Northwest

资金

  1. NOAA's Regional Integrated Science Assessment program [NA10OAR4310218]
  2. National Science Foundation [EAR-1250087]
  3. Directorate For Geosciences
  4. Division Of Earth Sciences [1250087] Funding Source: National Science Foundation

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Increased temperatures and changes in precipitation will result in fundamental changes in the seasonal distribution of streamflow in the Pacific Northwest and will have serious implications for water resources management. To better understand local impacts of regional climate change, we conducted model experiments to determine hydrologic sensitivities of annual, seasonal, and monthly runoff to imposed annual and seasonal changes in precipitation and temperature. We used the Variable Infiltration Capacity (VIC) land-surface hydrology model applied at 1/16 degrees latitude-longitude spatial resolution over the Pacific Northwest (PNW), a scale sufficient to support analyses at the hydrologic unit code eight (HUC-8) basin level. These experiments resolve the spatial character of the sensitivity of future water supply to precipitation and temperature changes by identifying the seasons and locations where climate change will have the biggest impact on runoff. The PNW exhibited a diversity of responses, where transitional (intermediate elevation) watersheds experience the greatest seasonal shifts in runoff in response to cool season warming. We also developed a methodology that uses these hydrologic sensitivities as basin-specific transfer functions to estimate future changes in long-term mean monthly hydrographs directly from climate model output of precipitation and temperature. When principles of linearity and superposition apply, these transfer functions can provide feasible first-order estimates of the likely nature of future seasonal streamflow change without performing downscaling and detailed model simulations.

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