• Home
  • About
  • Program
  • Logistics
  • Abstracts

How Does Climate Change Compare to Natural Variability for Managing Energy Infrastructure in the North?

How Does Climate Change Compare to Natural Variability for Managing Energy Infrastructure in the North?
Abstract Category: 
4.2. Establishing Priorities for Mitigation and Adaptation and Evaluating Solutions
Type: 
Parallel
Time: 
18 March 2010 - 11:50am - 12:10pm
Jessica Cherry1, Susan Walker2, Amy Tidwell3, Nancy Fresco4
1International Arctic Research Center & Inst. of Northern Eng, University of Alaska Fairbanks, Fairbanks, AK, 99775, USA, jcherry [at] iarc [dot] uaf [dot] edu
2Hydropower Coordinator Office, NOAA-National Marine Fisheries Service, Anchorage, AK, USA
3Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, USA
4Scenarios Network for Alaska Planning, University of Alaska Fairbanks, Fairbanks, AK, USA

Several geographic characteristics of Southeast Alaska (SEAK) make assessing the regional impacts of climate change on hydroelectric power infrastructure particularly complex: one is the steep, heterogeneous topography surrounded by ocean; second is the strong influence of interannual and decadal-scale climate variability, a third is the presence of glaciers in many of the reservoir watersheds. Climate models project annual warming of 3–4 degrees C over the 21st century for Southeast Alaska and a 5–8% increase in annual precipitation, with a significant shift from snow to rain. Increases in runoff are expected to exceed increases in precipitation in basins with glaciers, as those glaciers melt, but not after they have receded entirely. Analysis of historical data show that approximately half of the observed warming in SEAK since 1920 is attributable to the variability of the Pacific Decadal Oscillation, a naturally occurring mode. This pattern of climate variability drives persistence of temperature and precipitation anomalies in such a way that utilities managers in SEAK should anticipate the possibility of "non-normal" inflows for an entire decade or longer, as part of natural variability. On top of this decadal persistence are the long-term trends associated with global climate change: warming and wetting. New scoping projects should analyze long-term (multi-decadal) climate and hydrology datasets where possible, as well as look at downscaled climate projections, while recognizing the limitations of these data and models. Managers of existing utilities should be aware of the availability of seasonal prediction tools from NOAA's Climate Prediction Center and other resources.

Presentation PDF

application/pdf iconDownload PDF (6.09 MB)
  • ‹ previous
  • 145 of 160
  • next ›

Browse Session Abstracts

  • View abstracts for the talks in each of the plenary session
  • View abstracts for the talks in each of the parallel session
  • View abstracts for the poster presentations
  • View abstracts for the poster presentations
  • Products
  • Attendees
  • Sponsors
  • Side Meetings
  • Video Archive
  • Press
  • ARCUS Logo
  • Contact
  • Twitter
  • News
  • Organizing Committee
  • Search
  • Log In
National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.