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Pavement Precipitation Accumulation

Pavement Precipitation Accumulation. Presenter: Mark Askelson University of North Dakota Department of Atmospheric Sciences/RWIC/STWRC. Improved Winter Precipitation Algorithm. Improved Winter Precipitation Algorithm. Algorithm Design. Radar Alg. Output. Decoder. Clutter and AP Filter.

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Pavement Precipitation Accumulation

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  1. Pavement Precipitation Accumulation Presenter: Mark Askelson University of North Dakota Department of Atmospheric Sciences/RWIC/STWRC Improved Winter Precipitation Algorithm

  2. Improved Winter Precipitation Algorithm • Algorithm Design Radar Alg. Output Decoder Clutter and AP Filter Snow Accum. Algorithm Radar Data Blend Surface and Radar Decoder Surface Obs. Radar + Surface Output Radar + Surface + Satellite Output Train Satellite from Radar + Surface Fill Holes Decoder Satellite Data Blending Algorithm Analyses/Model Final Output STWRC-Improved Winter Precipitation Algorithm

  3. Improved Winter Precipitation Algorithm • Radar Data • Bureau of Reclamation snowfall accumulation algorithm • Developed in late 1990’s • State-of-the-art radar algorithm • Surface Data • Adjust radar-based values—bias correction • Yes/no flags to refine snowfall area STWRC-Improved Winter Precipitation Algorithm

  4. Improved Winter Precipitation Algorithm • Satellite data • Geostationary Orbiting Environmental Satellites (GOES) Cloud Top Pressure Data • Estimates of atmospheric pressure at top of clouds • Available every hour • Idea: cloud top pressure is related to snowfall rate. Deeper systems more likely to produce heavier snowfalls. • Main function: fill holes STWRC-Improved Winter Precipitation Algorithm

  5. Improved Winter Precipitation Algorithm • Concerns • Create snowfall where it is not present. → Must evaluate. → Use surface data to prevent? • Accuracy → Same cloud tops will likely produce different snowfall rates in different systems. → Will train using combined radar and surface observation data. STWRC-Improved Winter Precipitation Algorithm

  6. Improved Winter Precipitation Algorithm • First Generation (Complete) • Based on level III radar data • Second Generation • Based on level II radar data • Progress • Many base level radar routines completed • Level II data decoder • Components of satellite processing software Radar-based liquid water equivalent snowfall rate (mm hr-1) at 6.a.m. on 25 January 2004. From early version of PPAES. STWRC-Improved Winter Precipitation Algorithm

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