Forecast Verification Research Laurie Wilson, Environment Canada Beth Ebert, Bureau of Meteorology WWRP-JSC, Geneva, 17-19 July, 2013

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Transcript Forecast Verification Research Laurie Wilson, Environment Canada Beth Ebert, Bureau of Meteorology WWRP-JSC, Geneva, 17-19 July, 2013

Forecast Verification Research
Laurie Wilson, Environment Canada
Beth Ebert, Bureau of Meteorology
WWRP-JSC, Geneva, 17-19 July, 2013
Verification working
group members
Beth Ebert (BOM, Australia)
Laurie Wilson (CMC, Canada)
• Barb Brown (NCAR, USA)
• Barbara Casati (Ouranos, Canada)
• Caio Coelho (CPTEC, Brazil)
• Anna Ghelli (ECMWF, UK)
• Martin Göber (DWD, Germany)
• Simon Mason (IRI, USA)
• Marion Mittermaier (Met Office, UK)
• Pertti Nurmi (FMI, Finland)
• Joel Stein (Météo-France)
• Yuejian Zhu (NCEP, USA)
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Aims
Verification component of WWRP, in collaboration with
WGNE, WCRP, CBS
• Develop and promote new verification methods
• Training on verification methodologies
• Ensure forecast verification is relevant to users
• Encourage sharing of observational data
• Promote importance of verification as a vital part of
experiments
• Promote collaboration among verification scientists,
model developers and forecast providers
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Relationships / collaboration
WGCM
WGNE
TIGGE
SDS-WAS
CIMO SPICE
Polar
Prediction
SWFDP
HIW
CBS
operational
verification
S2S
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SRNWP
COST-731
Front Page HEADLINES
• Final draft of “Verification of Tropical Cyclone Forecasts”
has been released for comment and feedback.
– Comments to be received until the end of August, then document
to be published by WMO.
• The science of verification methods has advanced with
the publication of a special issue of Meteorological
Applications, June, 2013, containing 12 papers based on
presentations at the Melbourne workshop 2011.
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Promotion of best
practice
Verification of tropical cyclone forecasts
1. Introduction
2. Observations and analyses
3. Forecasts
4. Current practice in TC verification – deterministic forecasts
5. Current verification practice – Probabilistic forecasts and
ensembles
6. Verification of monthly and seasonal tropical cyclone forecasts
7. Experimental verification methods
8. Comparing forecasts
9. Presentation of verification results
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Verification of deterministic TC
forecasts
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Beyond track and intensity…
Track error distribution
Model 1
Model 2
TC
genesis
Wind speed
Precipitation (MODE spatial method)
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Verification of probabilistic TC
forecasts
TIGGE ensemble
intensity error before
bias correction
After bias correction
Courtesy Yu Hui
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(STI)
Verification of TC
seasonal frequencies
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Met Apps special issue
1. Progress and challenges in forecast verification E. Ebert, L. Wilson, A. Weigel, M. Mittermaier, P.
Nurmi, P. Gill, M. Göber, S. Joslyn, B. Brown, T. Fowler and A. Watkins
2. A unified verification system for operational models from Regional Meteorological Centres of China
Meteorological Administration Jing Chen, Yu Wang, Li Li, Bin Zhao, Fajing Chen, Yinglin Li and Yingjie
Cui
3. Factors affecting the quality of QPF: a multi-method verification of multi-configuration BOLAM
reforecasts against MAP D-PHASE observations Marco Casaioli, Stefano Mariani, Piero Malguzzi and
Antonio Speranza
4. An assessment of the SEEPS and SEDI metrics for the verification of 6 h forecast precipitation
accumulations Rachel North, Matthew Trueman, Marion Mittermaier and Mark J. Rodwell
5. A long-term assessment of precipitation forecast skill using the Fractions Skill Score Marion
Mittermaier, Nigel Roberts and Simon A. Thompson
6. Using MODE to explore the spatial and temporal characteristics of cloud cover forecasts from highresolution NWP models M. P. Mittermaier and R. Bullock
7. Exploratory use of a satellite cloud mask to verify NWP models Ric Crocker and Marion Mittermaier
8. A new index for the verification of accuracy and timeliness of weather warnings Laurence J. Wilson and
Andrew Giles
9. Expected impacts and value of improvements in weather forecasting on the road transport sector Pertti
Nurmi, Adriaan Perrels and Väinö Nurmi
10. Verification of marine forecasts using an objective area forecast verification system Michael A. Sharpe
11. Comparative skill assessment of consensus and physically based tercile probability seasonal
precipitation forecasts for Brazil Caio A. S. Coelho
12. Three recommendations for evaluating climate predictions Thomas E. Fricker, Christopher A. T. Ferro
and David B. Stephenson
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SEDI for ECMWF vs UKMet 6 h precip
forecasts
FROM: North et al 2013
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1-SEEPS for UKMet and
ECMWF 6h precip fcsts
FROM: North et al, 2013
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Comparison of physical and statistical tercile
precip probability forecast accuracy for Brazil
Uses “Generalized
Discrimination” score
(Mason and Wiegel,
2009)
In this case, spring
And summer, the
Consensus forecasts
“win”
From: Coehlo, 2013
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FDPs and RDPs
Sydney 2000 FDP
Beijing 2008 FDP/RDP
MAP D-PHASE
SNOW-V10 RDP
FROST-14 FDP/RDP
-Participants to do own verification
-JWGFVR to assist with special data
and road verification
-JWGFVR to establish compulsory
measures for verification
SCMREX and INCE-CE
-Requests for advice, projects
starting
Typhoon Landfall FDP
-Mainly training sessions at
workshops so far
Severe Weather FDP
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Verification of model
precipitation forecasts for
E. Africa
All GTS data received by
ECMWF and NCEP for
2010-11 rainy season.
The full set of results is being
written up and will be
published by WMO later this
year as part of an SWFDP
verification training document
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RSMC chart and Hydro-est
Spatial Verification Method
Intercomparison Project
• Falls under “promotion of best
practice in verification”
• International comparison of many
new spatial verification methods
• Phase 2 in planning stage
– Complex terrain
– MAP D-PHASE / COPS dataset
– Wind and precipitation, timing errors
– Case selection underway
– More information at EMS/ECAM Reading
September
– Led by Eric Gilleland (NCAR)
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Outreach and training
• Verification workshops and
tutorials
– On-site, travelling
http://www.cawcr.gov.au/projects/verification/
– Ensemble verification methods
(EMS/ECAM) Sept 8, Reading
– East Africa SWFDP
• EUMETCAL training modules
• SWFDP verification document
• Verification web page
• Sharing of tools
• Proposal for 6th International
Verification Methods Workshop
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Proposal for 6th International
Verification Methods Workshop
• Invited by Indian Meteorological Department (IMD) and
National Center for Medium Range Weather Forecasting
(NCMRWF)
• March 13-19, 2014
• Similar format to previous workshops (Three day tutorial
– one day off – three day science workshop)
• Special emphasis on Monsoon verification and Tropical
Storm verification in both tutorial and workshop.
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Topics for 6IVMW
• Verification of high impact weather forecasts and
warnings, especially tropical cyclones and monsoon
events.
• Verification of ensembles and probability forecasts
• Spatial forecast verification
• Seasonal forecast verification
• Climate projection evaluation
• Propagation of uncertainty
• User issues including communicating verification to
decision makers
• Verification tools
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Seamless verification
Spatial scale
Seamless forecasts - consistent across space/time scales
single modelling system or blended
likely to be probabilistic / ensemble
seasonal decadal climate
subseasonal prediction prediction change
NWP prediction
global
regional
local
very
short
range
nowcasts
point
minutes
hours
days
weeks
months
forecast aggregation time
years
decades
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More thoughts on
seamless verification
• Principles of all verification:
– Why is it being done? What does the user want to know about
the forecast?
• “Attributes of forecast” – reliability, discrimination,
accuracy, skill etc.
• Verification doesn’t care about the source of the
forecast, or its presentation – that is decided by the
forecast user (hopefully)
• It does care about the nature of the predictand
(deterministic/continuous, categorical, probabilistic)
• Attributes can be measured for any forecast projection,
or averaging period; the meaning is similar.
• Example: Generalized discrimination score
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Near Future Events
• WMO publication of TC document following comments
• EMS one-day ensemble verification training workshop
• Advice on precipitation verification metrics for WGNE (by
Sept 2013)
• JWGFVR-WGTMR joint meeting (Oct 2013)
• 6IVMW (March 2014)
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Final thoughts
• “Good will” participation (beyond advice) in WWRP and THORPEX
projects getting harder to provide
– Videoconferencing
– Capacity building of “local” scientists
– Include verification component in funded projects
• Tendency towards “Verification within”
– May be fine for research users of verification only
– Not consistent with “best verification practice” when other users
are considered, e.g. SERA
– SOCHI
– HyMEX
– A change from the original intent of JWGFVR – the
INDEPENDENT verification of products from an RDP/FDP
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Thank you
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