6
Statistical model development, statistical forecasting approaches, and ensemble forecasting methods—Part 1

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Thursday, 6 February 2014: 1:30 PM-3:00 PM
Room C205 (The Georgia World Congress Center )
Host: 22nd Conference on Probability and Statistics in the Atmospheric Sciences
Chair:  Scott Sellars, Center for Hydrometeorology and Remote Sensing, Univ. of California, Irvine, CA
Papers:
  1:30 PM
6.1
A Practical Model Blending Technique Based on Bayesian Model Averaging
Bruce Veenhuis Jr., NOAA/NWS, Silver Spring, MD
Recorded Presentation Manuscript (674.5 kB)

Handout (461.2 kB)

  1:45 PM
6.2
Recent Development to Improve NAEFS SPP
Hong Guan, Systems Research Group Inc./EMC and NCEP/NOAA, College Park, MD; and Y. Zhu and B. Cui
Recorded Presentation Manuscript (1.4 MB)

  2:00 PM
6.3
Determining an Optimal Decay Factor for Bias-Correcting MOS Temperature and Dewpoint Forecasts
Bob Glahn, NOAA/NWS, Silver Spring, MD
Recorded Presentation Manuscript (323.5 kB)

Handout (392.2 kB)

  2:15 PM
6.4
Experimental MOS Precipitation Type Guidance from the ECMWF Model
Phillip E. Shafer, NOAA/NWS, Silver Spring, MD; and D. E. Rudack
Recorded Presentation Manuscript (1.3 MB)

Handout (1.8 MB)

  2:30 PM
6.5
Statistical forecasting of rainfall from radar reflectivity in Singapore
Xiao Liu, IBM, Singapore, Singapore; and V. Gopal and L. A. Treinish
Recorded Presentation

Handout (918.1 kB)

  2:45 PM
6.6
Partial least squares regression as a useful tool for determining the predictable component of atmospheric fields
Nat Johnson, Univ. of Hawaii, Honolulu, HI; and M. L'Heureux
Recorded Presentation

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