Targeted observations and Observing System simulation Experiments Within THORPEX Yucheng Song...
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Transcript of Targeted observations and Observing System simulation Experiments Within THORPEX Yucheng Song...
Targeted observations and Observing System simulation Experiments Within
THORPEX
Yucheng Song
IMSG/EMC/NCEP/NOAA
Camp Springs, MD
THORPEX Review, Feb 25 2009
MOTIVATIONS
• Apply the adaptive targeting technique to real world application such as WSR, T-PARC
• Evaluate the data impact from these adaptive observations with respect to analysis and forecast for high impact weather events
• Understand how observation error in the sensitive region grows to affect downstream forecast (dropout cases)
• Explore the value of targeted observations in data assimilation
• Develop/improve targeting techniques (such as ETKF) within the framework of OSE and OSSE
2007-2008 Activities
• Implementation and maintenance of ETKF codes for adaptive targeting purpose with MPI features for faster performance and capability of running for large domain
• Collaboration with HMT on a joint winter storms reconnaissance 2008 with the P-3 flights
• Working with OSSE group on setting up the data simulation system and NCEP OSSE system
• Participation in the summer T-PARC project in preparing for the unified GRIB coding for DTS system
• Winter T-PARC project preparation
Valentine’s day Storm
• Weather event with a large societal impact• Each GFS run verified against its own analysis – 60 hr forecast• Impact on surface pressure verification• RMS error improvement: 19.7% (2.48mb vs. 2.97mb)Targeted in high impact weather area marked by the circle
Surface pressure from analysis (hPa; solid contours)Forecast Improvement (hPa; shown in red)Forecast Degradation (hPa; blue)
Overall results for Vector wind
The RMS error reduction could reach as high as 30% in certain verification areas
Day -4-6
RAWIN
Russia
D -2-4
G-IV
D -1-3
C-130
G-IV
North
America
VR
Arctic
VR Day -5-6E-AMDAR
Winter T-PARC platforms
Extensive observational platforms during T-PARC winter phase allow us to track the potential storms and take additional observations as the perturbation propagate downstream into Arctic and North America
WINTER T-PARC THEMES
• Rossby-wave propagation plays a major role in the development of high impact weather events over North America and the Arctic on the 3-5 days forecast time scale
• Additional remotely sensed and in situ data can complement the standard observational network in capturing critical processes in Rossby-wave initiation and propagation
• Adaptive configuration of the observing network and data processing can significantly improve the quality of data assimilation and forecast products
• Regime dependent planning/targeting • Case dependent targeting
• New DA, modeling and ensemble methods can better capture and predict the initiation and propagation of Rossby-waves leading to high impact events
• Forecast products, including those developed as part of the TPARC research, will have significant social and/or economic value
• Identify potential high impact weather events over NA and Arctic – At 5-7 day lead time, to improve shorter lead time forecasts– Use NAEFS ensemble forecast products– Weather Service forecaster involvement from US, Canada, Mexico
• Determine sensitive areas affecting verification events at different times– Use ETKF or ET or other techniques– Inter-compare results from NCEP, NRL, NASA/GSFC, others– Consensus decision
• Observe conditions in sensitive areas– Use various observing platforms as sensitive areas move through their
domain as lead time shortens
CONCEPT OF OPERATIONS
CONCEPT OF OPERATIONS - 2
• Assimilate all standard and adaptive observations – Use operational DA and forecast systems– Improved NAEFS forecasts
• Generate new experimental products based on improved NAEFS system– These include sea ice, freezing spray, river flow forecast etc.– Solicit direct feedback from user community– Enhance products in post-TPARC developments
• Evaluate impact of adaptive observations and other NWP methods– Use either operational or enhanced DA/Modeling/ensemble systems– Consider differences between DA/forecast system with/without adaptive
data– Inter-compare operational and experimental NWP systems
9:30AM-10:30AM
10AM-11:00AM
11AM-1:00PM
1PM-1:30PM
2:30PM-3:30PM
3:30PM-5:30PM
5:30PM-
Receiving requests from HPC, SPC
and others, compile/review
cases
Run NCEP setup and ETKF program/submit/evaluate cases on DTS system
Waiting for DTS results to be ready/review
forecast products from different
sources
NCEP internal discussion based on different products
Daily briefing/decision meeting through
gotomeeting software
WINTER T-PARC DAILY OPERATION FLOW CHART
Decisions for Radiosonde
issuedG-IV/C-130
track design
Daily decisions need to be made for the 60 and 84hr leading time, e.g. on Feb 18, we need to make decision for Feb 20, 12Z and Feb 21, 12Z. If there was a request
yesterday, we also need to review that mission, for example Feb 19, 12Z
Winter T-PARC Science Questions
• Can the adaptive collected data improve the analysis and forecast?
• When and where would be the best timing for targeting?
• Why in some cases the SV and ET KF show different results?
• How meso-scale structure interact with large scale background in changing the predictability for long lead time?
• What role is the moist process in the initiation and developing stages?
Planned Tasks for 2009-10
• Winter T-PARC/WSR2009 – Coordination with international collaborators for the field stage– Evaluate the impacts of T-PARC observations in post field
stage– Hosting meeting for T-PARC
• Develop/improve adaptive targeting techniques• Implementation of ET KF methods into OSSE• Participation of data impact configuration of GFS/GDAS
for OSSE• Collaboration with NOAA UAS program and DWL group
for their possible application in future missions• Collaboration with SREF on possible ET KF codes• Participation in SWICE