1 / 5

Incorporating Snow Products into Models Chris Derksen and Murray MacKay

Environment Canada. Environnement Canada. Incorporating Snow Products into Models Chris Derksen and Murray MacKay Climate Research Branch, Meteorological Service of Canada, Downsview, Ontario.

penda
Download Presentation

Incorporating Snow Products into Models Chris Derksen and Murray MacKay

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Environment Canada Environnement Canada Incorporating Snow Products into Models Chris Derksen and Murray MacKay Climate Research Branch, Meteorological Service of Canada, Downsview, Ontario • The Contribution of Passive Microwave Derived Datasets to Regional Climate Model Simulations of Snow Cover and Water Equivalent: • Development of land-cover specific SWE retrieval algorithms. • Coupled atmosphere/land surface/hydrologic model simulations for regional scale climatological and hydrological applications in high latitude environments.

  2. Passive Microwave Algorithm Development at MSC • Land cover-based approach. • Open Prairie algorithm [(37V-19V)/18] developed in 1980’s: • Retrieval accuracy of  15 mm • Delineation of wet snow is possible • Boreal forest algorithms (37V-19V) produced as a result of BOREAS (mid 1990’s): • Retrieval accuracy of  25 mm for most areas • Systematic underestimation is an issue in regions of dense forest cover • (canopy closure/stem volume) • Operational applications: • Water resource management • Flood forecasting • Hydropower generation • Research applications: • Snow cover/climate interactions • Evaluation of Canadian Regional Climate Model simulations

  3. Comparison with CRCM Output P P CRCM OBS Coniferous 5-yr Avg. SWE CRCM SWE SSM/I P OBS Agricultural 5-yr Avg P CRCM SWE SSM/I SWE CRCM Coniferous 1998/99 Water Year • 5-yr simulation: 1998/99 – 2003/2003 (CLASS 2.7) • NOAA snow extent, passive microwave derived SWE, and CANGRID precipitation data compared to CRCM output for land cover specific regions. • Coniferous boreal forest: excellent agreement into March, greater uncertainty during melt. • Open prairie region: excellent agreement, even during snow melt.

  4. 00 UTC, November 4, 2000 06 UTC, November 4, 2000 12 UTC, November 4, 2000 CRCM Simulations of SWE and Frontogenesis Frontogenesis Function 18 UTC, November 3, 2000

  5. Priority Issues • Improved satellite-derived geophysical parameters: • skin temperature • SWE • lake ice • Standardized cross-platform satellite time series and derived datasets • Downscaling satellite data to high resolution models/sub-grid scale heterogeneity CANGRID Precipitation Stations

More Related