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Ensemble Verification Review of developments and plans

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Point-wise measures, including: ... Develop/adapt display software for interactive interrogation of output statistics ... ( FSL: statistical display tools) Other ... – PowerPoint PPT presentation

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Title: Ensemble Verification Review of developments and plans


1
Ensemble Verification Review of developments
and plans
  • By Yuejian Zhu
  • June 17th 2005

2
Ensemble Verification current status
  • NCEP global ensemble verification package used
    since 1995
  • Comprehensive verification statistics computed
    against analysis fields
  • Post most of skill scores on web-site and updated
    daily/frequently
  • Inter-comparison with other NWP centers (mainly
    MSC and ECMWF)
  • Saved ASCII (text) format statistics for each
    initial forecasts (or verified analysis)
  • Many of them use climatology
  • NCEP regional ensemble (SREF) verification
    package
  • Basic measures computed routinely since 1998
  • Probabilistic measures being developed
    independently from global ensemble
  • Unification from global and regional
  • Need to unify computation of global regional
    ensemble verification measures
  • Running unified code on NCEP daily operation
    (year 2005)
  • Unified framework must facilitate wide-scale
    national/international collaboration
  • North American Ensemble Forecast System
    (collaboration with Met. Service Canada)
  • THORPEX International Research Program
  • WRF meso-scale ensemble developmental and
    operational activities
  • Facilitate wider community input in further
    development/enhancements
  • For example, how to establish basis for
    collaboration with NCAR, statistical community,
    etc..

3
Ensemble Verification design specifications
  • Computation based on daily/6-hourly/3-hourly
    cycle
  • Store the computation scores
  • Compute statistics selected from list of
    available
  • Point-wise measures, including
  • RMS errors, PAC for individual ensemble members,
    mean and medium
  • Measure of reliability (Talagrand distribution
    and outlier, spread vs. RMS error, reliability
    part of BS, RPSS, etc)
  • Measure of resolution (ROC, IC, resolution part
    of BS, RPSS, potential EV, etc)
  • Combined measures of reliability and resolution
    (BSS, RPSS, etc)
  • Multivariate statistics (such as PECA
    (Perturbation versus Error Correlation Analysis)
    , etc. reference from Wei)
  • Variable and lead time make all available that
    are used from ensemble
  • Aggregate statistics as chosen in time, space,
    etc
  • Select time periods (seasonal, monthly, etc)
  • Select spatial domain (pre-designed or user
    specified area)
  • Select lead-time (optional)
  • Select variables
  • Verify against observation/analysis
  • Scripts running verification codes should handle
    against both O/A issues
  • Use the same subroutine to compute statistics for
    either one
  • Account for effect of observation/analysis
    uncertainty? (if possible)

4
Ensemble Verification design specifications
  • Verify for different ensemble sizes
  • Combination of multi-model ensemble
  • Variable ensemble sizes, comparable
  • Define forecast/verification events by either
  • Observed/analyzed climatology, such as
  • 10 percentile thresholds in climate distribution
  • above/below normal
  • User specified thresholds compute corresponding
    climate percentiles, such as
  • Precipitation greater than 1 inch per 24 hours
  • Temperature below frozen
  • Wind shear greater than 10m/s
  • Based on ensemble members (like Talagrand stats)
    compute climate percentiles
  • Facilitate the use of benchmark
  • Climatology, persistence, extreme or user
    specified
  • Short, medium, long-rang and climate forecast
  • Operational and research community
  • Prioritize and find balance between
  • Flexibility vs. complexity
  • Operational vs. research use

5
Ensemble Verification development and plan
  • Design unified ensemble verification framework
  • Input data handling
  • Use standard WMO formats as data input
  • GRIB format for analysis, forecast and
    climatology
  • BUFR format for observation
  • Option to allow non-standardized user/institution
    specifying
  • Computation of statistics
  • Establish required software functionalities
    (scripts)
  • Build up required verification statistics
    program/subroutines (source codes)
  • Jointly develop and share scripts/subroutines
    with standard input/output
  • Comparable scientific results from independent
    investigators
  • Output daily statistics (discussion)
  • Adopt WMO recommended (if any)
  • VSDB format (SREF used)
  • User specified
  • Display of output statistic (option)
  • Develop/adapt display software for interactive
    interrogation of output statistics
  • FVS display system
  • FSL approach to WRF verification

6
Ensemble Verification development and plan
  • Develop and implement new verification framework
  • Utilize existing software and infrastructure
    where possible
  • Combine current global and regional verification
    software
  • Use existing climatology, develop new
    climatological distribution (anomalies)
  • NCEP new ensemble-related verification efforts
  • Direct all of them toward new framework if
    possible
  • Share NCEP works with Meteorological Service of
    Canada for
  • Northern American Ensemble Forecast System
    (NAEFS) project
  • Mainly exchange the subroutines
  • Share NCEP works with interested collaborators
  • Forecast System Lab. (FSL statistical display
    tools)
  • Other institutions
  • Make new software available to national/internatio
    nal community
  • THORPEX international research program
  • WRF ensemble verification
  • Coordinate further development with wider
    community (WMO, other NWP centers)
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