• Home
  • About
  • Program
  • Logistics
  • Abstracts

State of the Land Surface in the Arctic System Reanalysis

State of the Land Surface in the Arctic System Reanalysis
Abstract Category: 
1.2. Understanding the Linkages and Feedbacks Between the Arctic System Components
Type: 
Poster
Andrew G. Slater1, David N. Kindig2, Mark C. Serreze3
1National Snow and Ice Data Center, University of Colorado, Campus Box 449, Boulder, CO, 80309-0449, USA, Phone 303-735-5358, aslater [at] kryos [dot] colorado [dot] edu
2National Snow and Ice Data Center, University of Colorado, Campus Box 449, Boulder, CO, 80309-0449, USA, kindig [at] kryos [dot] colorado [dot] edu
3National Snow and Ice Data Center, University of Colorado, Campus Box 449, Boulder, CO, 80309-0449, USA, serreze [at] kryos [dot] colorado [dot] edu

The Arctic System Reanalysis (ASR) is an Arctic specific reanalysis, conducted at a high spatial resolution (15km or less) for the 2000–2010 period. The Weather Research and Forecasting (WRF) model, with a polar optimized physics selection, will form the basis of the ASR. WRF will use the Noah land surface model. While the atmosphere will have the benefit of 3D-Var assimilation, the land surface is presently planned to run with minimal assimilation. However, land surface model improvements pertinent to the Arctic have been made, for example to the soil lower boundary, conditions have been developed to better represent permafrost. Additionally we have examined portions of the land surface shortwave radiative budget with particular emphasis on albedo. Using station data from multiple locations across Alaska we assess the incoming flux at the surface over the period August 2005–2006. Remote sensing data from the MODIS instruments is used to compare model results to snow cover fraction, snow albedo and most importantly mean terrestrial albedo. Results suggest an autumnal bias of excess modeled snow cover and albedo. In the spring, the model often provides a terrestrial albedo that is within the span of MODIS pixels contained by a gridbox however compared to the observed mean/median, the model often displays a systematic error.

  • ‹ previous
  • 49 of 219
  • 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.