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Wintertime Component of T-PARC Jan 2009 – March 2009 Environmental Modeling Center NOAA/NWS/NCEP USA Acknowledgements: Rick Rosen, Louis Uccellini, John.

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Presentation on theme: "Wintertime Component of T-PARC Jan 2009 – March 2009 Environmental Modeling Center NOAA/NWS/NCEP USA Acknowledgements: Rick Rosen, Louis Uccellini, John."— Presentation transcript:

1 Wintertime Component of T-PARC Jan 2009 – March 2009 Environmental Modeling Center NOAA/NWS/NCEP USA Acknowledgements: Rick Rosen, Louis Uccellini, John Gaynor CAS Technical Conference, November 2009, Incheon, Korea Yucheng Song & Zoltan Toth Talk prepared by Song &Toth reduced and given by Burridge on behalf of Uccelini who is in the KMA - questions to Uccelini tomorrow!

2 Collaborative Effort of Multiple Agencies CONTRIBUTORS / PARTICIPANTS Funding for observing assets –NOAA, Env. Canada, Roshydromet, Japan Science / operational aspects –US, Canada, Mexico, Russia, Japan, ECMWF/UKMO (including Universities and Institutions) Data archiving –NASA Langley Research Center Ackn: John Murray and Jared Entin (NASA)

3 3 Study the lifecycle of perturbations as they originate from the tropics, Asia, and/or the polar front, travel through the Pacific waveguide, and affect high impact wintertime weather events over North America and the Arctic MAIN THEME OF WINTER T-PARC Tropical flare-ups in western Pacific (IR) merge with Waves on westerly flow to influence Deep cyclogenesis in northeast Pacific Verification region, 12UTC 14 Oct Sensitive area 1, 00UTC 11 Oct Sensitive area 2, 00UTC 11 Oct Captured by Ensemble Transform KF targeting method

4 4 SCIENCE HYPOTHESES 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 multi-scale 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

5 Day -4-6 RAWIN Russia D -2-4 G-IV D -1-3 C-130 G-IV North America VR Arctic VR Day -5-6 E-AMDAR 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 ENHANCED OBSERVING PLATFORMS

6 Winter T-PARC platform statistics NOAA G-IV: 24 successful missions, 201hrs flown with 456 dropsondes Out of Japan during Jan 11 to Feb 26, 2009 USAF C-130s: 14 successful missions, 142.8hrs flown with 212 dropsondes Out of Alaska during Jan 20 to Feb 13, 2009 E-AMDAR from Lufthansa airlines: (Descents and Ascents: boxed area) Total: =1905 profiles =17640 en route obs From Jan 11 – Feb 28, 2009 Enhanced Russia RAOBS: Total 602 radiosondes released from 37 selected stations for 33 cases From Jan 12 to Feb 28, 2009

7 7 March 1, 2009 CA 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: 35.2% (7.07mb vs. 9.56mb) Targeted in high impact weather area marked by the circle Surface pressure from analysis (hPa; solid contours) Forecast Improvement (hPa, red) Forecast Degradation (hPa, blue)

8 8 Error reductions on a case-by-case basis as much as 35% Degraded Improved Target Area Verification Area Verification Domain Location/Time: case dependent Size: same for every case (1,000 km radius / sfc to 100mb) Error with Dropsondes Error without Dropsondes Overall results for Surface pressure (T-PARC 2009)

9 9 T-PARC Summary statistics Variable # cases improved # cases neutral #cases degraded Surface pressure Temperature Vector Wind Humidity OVERALL POSITIVE CASES. 13 OVERALL NEGATIVE CASES. 75% improved 25% degraded

10 TARGETED DROPSONDE IMPACT ON 24H FORECAST ERROR IN NOGAPS/NAVDAS Jan 20/12UTC high impact per-observation Summed impact of dropsonde observations (error reduction is NEGATIVE, units are J kg -1 ) Courtesy of Rolf Langland

11 JANUARY x10 -3 J kg -1 (Moist Total Energy Norm) JANUARY 2009 Error Reduction Error Increase Total # of targeted radiosonde data = 27,508 (06UTC and 18UTC) Number of targeted radiosonde profiles = 247 (33 stations provided at least one profile) Total targeted radiosonde impact = J kg -1 For comparison: 00UTC and 12UTC observations from these same stations: J kg -1 and 2,154 profiles during all of January 2009 Courtesy of Rolf Langland TARGETED RADIOSONDE IMPACT ON 24H FORECAST ERROR IN NOGAPS/NAVDAS Total # targeted LH-EAMDAR ascent/descent data = 17,444 (12-31 January 2009) Total targeted LH-EAMDAR impact = J kg -1 GLOBAL Lufthansa AMDAR ascent/descent impact = J kg -1 and 113,151 data during all of January 2009

12 Summary and Plans Field phase successfully completed –First time vertical profiling of winter storms west of the dateline Data archived at NASA (LARC) Ideal framework for wide variety of research opportunities –Dynamical /physical processes –Storm initiation/propagation –Role of moist processes –Interaction of tropical convection with extra-tropical storms –Socio-economical impact studies Need to identify funding resources for further research Ongoing evaluation –NRL preliminary evaluation large positive impact on the 24hr forecast more than 90% of targeted observations reduced forecast errors –NCEP data denial experiments Full T-PARC targeted data rejection – major impact Rejection of aircraft data only (ongoing) Proposed joint meeting with summer T-PARC next year


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