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James%20Brown

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Title: James%20Brown


1
RFC Verification Workshop
Plans for expanding probabilistic forecast
verification
James Brown
James.D.Brown_at_noaa.gov
2
Contents
  • 1. Future of EVS
  • Release schedule
  • Planned improvements
  • 2. New verification techniques
  • Real time forecasting
  • Screening verification datasets
  • 3. Discussion and feedback survey

2
3
1. Future of EVS
4
Release schedule
  • XEFS is outside of AWIPS
  • First limited release of EVS 1.0 beta
  • MARFC and CNRFC to conduct initial tests
  • Beginning 09/07
  • Other RFCs??
  • After initial tests complete (1-2 months)
  • Depends on expressions of interest

4
5
Planned improvements
  • Managing workload
  • Batch processing (for forecast groups etc.)
  • Tailor interface for different users
  • Functionality for screening results
  • Improved documentation/help
  • Use cases for different metrics
  • Improved users manual and online help
  • Confidence intervals for metrics

5
6
Planned improvements
  • Longer term goals
  • Common platform for ensemble forecasting
  • XEFS common appearance and functions.
  • Led by HSEB, Steve Shumate and others.
  • Common platform for verification (with IVP).

6
7
2. New verification methods
8
Prognostic verification
  • The principle
  • Live forecast issued X days into future
  • How well are they likely to perform?
  • How did similar forecasts perform in past?
  • Three sources of information
  • a) The forecaster what determines similar?
  • b) The past forecasts that are similar
  • c) Past observations corresponding to (b)

9
Huntingdon, PA 1st June 1994
10
Lead day 1 from previous example
11
North Fork, CA 13th June 2003
12
North Fork, CA 13th June 2003
Lead day 1
13
Current status
  • Very early stage
  • Preparing a manuscript on methods
  • Generated several examples (/w code)
  • Critical questions
  • How to select similar forecasts?
  • Conditioning may be simple or complex
  • What types of products (graphics etc.)?
  • What functionality to include in tools?

14
Meta-verification
  • Screening large verification datasets
  • Large volumes of data produced by EVS
  • End-users need condensed data
  • But a single summary metric biased view
  • Better to build rules using several metrics
  • Make rules aware of forecasting situations
  • Status
  • Will investigate possibilities soon (e.g. AI)

14
15
3. Discussion and feedback
15
16
Questions
  • What plans for ensemble verification?
  • What priorities for diagnostic verif.?
  • What priorities for real-time verif.?
  • Ideas on specific products for each?

16
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