Strategic Intervention A novel use of Ensembles in Forecast Guidance Ken Mylne (Ensemble Forecasting Applications Manager) & Nick Grahame (Head of the Guidance Unit,

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Transcript Strategic Intervention A novel use of Ensembles in Forecast Guidance Ken Mylne (Ensemble Forecasting Applications Manager) & Nick Grahame (Head of the Guidance Unit,

Strategic Intervention
A novel use of Ensembles in Forecast
Guidance
Ken Mylne (Ensemble Forecasting Applications Manager) &
Nick Grahame (Head of the Guidance Unit, Operations Centre)
© Crown copyright Met Office
Motivation – the Problem
• How to use forecasters’ guidance in automated
production?
• Automated forecasts based on post-processed
NWP verify best, but…
• No means for forecaster to correct rare forecast errors
– busts
• How to edit or correct 5000 UK sites?
• Forecasters use Metmorph to produce modified
guidance, but…
• Metmorph cannot feed automated 5000 sites
• One direct feed to BBC graphics
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The Solution –
“Change Once, Use Many”
• Edgemoor Agreement – forecasters and research
met at Edgemoor Hotel and agreed new solution
• Strategic Intervention – allow forecaster to select an
alternative NWP solution that will feed downstream
outputs directly.
Strategic
Intervention
NWP
Intermediate State
using strategic
Intervention
PWS output
Post Processing
Customer Specific
Post Processing
Quality Check
process
Output
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Forecaster Advice
The Edgemoor Agreement
Strategic Intervention tool
• The SI tool will provide:
• Allows the Chief Forecaster to select an alternative data
source to drive the production process
• Reduced usage of downstream intervention
• Priorities for usage:
• Days 1-2
• Beyond day 2 should be probabilistic – no intervention
• Impact – large impact on customers
• 3 types of errors anticipated:
• Poor representation of trapped BL cloud/fog in winter or
spring anticyclones
• Errors in precipitation intensity/distribution/type
• Synoptic scale errors and outliers compared to other
models
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NWP Refresher - Ensembles
SI Production Flow
Standard Production
Intervened Production
Probabilistic Production
(as now)
Latest Obs
Forecaster
Selects NWP
guidance
Latest Deterministic
NWP run
Previous
Deterministic
NWP run
MOGREPS
member
MOGREPS
members
UKV EPS
UKV follows
guidance
UKV
UKV
MOGREPS-UK
member
Post-processing &
Automated Production
Change once,
use many
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Post-processing & Automated
Production
Post-processing &
Automated Production
Ensemble
Best-Data
Sites,
Best-Data
Sites,
Best-Data
Charts
Charts
Sites,
Website
Website
Charts
Products
Website
Ensemble
products
etc…
Products
Impact
model
etc…
etc…
NWP Refresher - Ensembles
SI Project
• Phase 1
Previous
Run
• Phase 1 SI – allows forecaster to select the
previous run of the deterministic NWP
– delivered April 2011
• Phase 2
MOGREPS • Phase 2 SI – will allow selection of a member of
Member
MOGREPS
• Controversial!
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NWP Refresher - Ensembles
Selection of Ensemble
Members – a good idea?
• Ensembles designed for
estimating the local forecast pdf
• Perturbed members intended to be
used as a group, NOT as alternative
scenarios
• Perturbed members expected to verify
worse than control – factor √2
• Identification of the “preferred member” or the “best
member” is very difficult:
• Best member locally at T+6 may not be best at T+24 or T+48
• Influences from upstream
• Different best members for different parameters and locations
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NWP Refresher - Ensembles
SI Potential - Daily Skill scores
Previous run & MOGREPS members
MSLP
25% members
better than BaU
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NWP Refresher - Ensembles
SI Potential - Daily Skill scores
Previous run & MOGREPS members
Temperature
25% members
better than BaU
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NWP Refresher - Ensembles
SI Potential - Daily Skill scores
Previous run & MOGREPS members
Precipitation Ave(ETS for 6h precip>0.5, 1.0, 4.0mm)
25% members
better than BaU
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NWP Refresher - Ensembles
Single day multi-variable plot
Can be calculated for any member
Different forecasts better for different variables
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NWP Refresher - Ensembles
Potential for improvements
• MOGREPS often has >25% members better for
certain variables
• Previous run occasionally better than BaU
• Little correlation between variables
• Less chance of there being a member which is best
for everything
• Can we identify such a member if it exists?
• Likely that SI can only correct the worst
element, with others being acceptable
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NWP Refresher - Ensembles
Business Rules
• Using perturbed forecasts regularly would
degrade the average verification
• Restrict SI selection to occasional use to correct
severe errors
• Expect forecast to be degraded away from area
targeted for correction
• Business Rules :
• BUSTS - Forecaster believes latest NAE is seriously
in error having a major impact on UK customers.
• First 24h only
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NWP Refresher - Ensembles
MOGREPS-UK and the UKV
• UKV is 1.5km convective-scale
model
• UK 36h forecast in Best Data
• MOGREPS-UK is new ensemble
using 2.2km version of UKV
• Under SI Phase 2 forecaster will
select alternative solution from
MOGREPS-UK
• Replace UKV in Best Data
• Selection by:
• Synoptic errors – upstream error
detection in analysis and
selection from MOGREPS-EU
• Mesoscale errors – error
detection in UKV and selection
from MOGREPS-UK
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NWP Refresher - Ensembles
Tools to aid selection
• Tools to compare
imagery with
model fields
• Very difficult with
web-based tools
• Now developing
pseudo-imagery
from MOGREPS
members to allow
full comparison
with imagery in
forecaster
workstations
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NWP Refresher - Ensembles
SI Limitations
• SI is NOT a replacement for Metmorph
• Used rarely – major busts only
• Chosen solution will not correct all errors or fully
represent guidance
• Only 12 members to choose from
• Quite likely worse than latest run AWAY from targeted
area
• Aim is to reduce major high impact error to
lesser lower impact errors
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NWP Refresher - Ensembles
Conclusions and Discussion
• Strategic Intervention allows the forecaster to
select an alternative source of NWP to drive the
automated forecast production
• Change Once, Use Many
• Latest model is usually the best
• Overuse of SI would be damaging
• Strict Business Rules for rare severe errors
• Unconventional use of ensembles
• Use with care!
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