Winter component of the T-PARC Yucheng Song 1, Zoltan Toth 2, Yoshio Asuma 3, Rolf Langland 4, Carolyn Reynolds 4, Edmund Chang 5, Jack Parrish 6, Istvan.

Slides:



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

Investigating medium-range forecast uncertainty and large error cases along the East coast using ensemble and diagnostic tools  Minghua Zheng, Brian Colle,
Munehiko Yamaguchi Typhoon Research Department, Meteorological Research Institute of the Japan Meteorological Agency 9:00 – 12: (Thr) Topic.
New experiments on WSR with modern version high res GFS/GSI Yucheng Song EMC/NCEP/NOAA.
Targeted observations and Observing System simulation Experiments Within THORPEX Yucheng Song IMSG/EMC/NCEP/NOAA Camp Springs, MD THORPEX Review, Feb 25.
UCSB Climate Research Meeting Dept. of Geography ICESS- UCSB October 16, 2009 Earth Space Research Group Climate Variations and Impacts: Monthly Discussion.
Hazardous Weather Ahead and Outlook for Winter Dave Reynolds -MTR Dan Keeton - STO Meteorologists in Charge weather.gov/SanFrancisco or /Sacramento.
NATS 101 Lecture 3 Climate and Weather. Climate and Weather “Climate is what you expect. Weather is what you get.” -Robert A. Heinlein.
Upper-level Mesoscale Disturbances on the Periphery of Closed Anticyclones Thomas J. Galarneau, Jr. and Lance F. Bosart University at Albany, State University.
Institut für Physik der Atmosphäre ETReC 2007 George C. Craig DLR-Institut für Physik der Atmosphäre.
The PV-perspective Part I Based partly on: Weather analysis and forecasting: Applying Satellite Water Vapor Imagery and Potential Vorticity Analysis By.
An Examination of the Tropical System – Induced Flooding in Central New York and Northeast Pennsylvania in 2004.
1 THE WINTER STORM RECONNESSAINCE PROGRAM OF THE US NATIONAL WEATHER SERVICE Zoltan Toth GSD/ESRL/OAR/NOAA Formerly at EMC/NCEP/NWS/NOAA Acknowledgements:
Improving High Impact Weather Forecasts by Adaptive Observing Methods Yucheng Song NOAA/NWS/NCEP/EMC Dave Novak NOAA/NWS/NCEP/HPC.
CSTAR Update: New Tools for More Efficient Use of Ensembles in Operations Brian A. Colle, Minghua Zheng, and Edmund K.M. Chang, School of Marine and Atmospheric.
Model Verification of Short Range High Impact Weather in Central Florida Christopher Hicks Department of Marine and Environmental Systems Florida Institute.
Targeting strategies to improve hurricane track forecasts (JHT 03-05) PIs: Dr Sharanya J. Majumdar (University of Miami) Dr Sim D. Aberson (NOAA/AOML/HRD)
Coastal Meteorology and Atmospheric Prediction (COMAP) Research at Stony Brook University Michael Erickson, Brian A. Colle, Sara Ganetis, Nathan Korfe,
1 Aircraft Data: Geographic Distribution, Acquisition, Quality Control, and Availability Work at NOAA/ESRL/GSD and elsewhere.
Forecast Skill and Major Forecast Failures over the Northeastern Pacific and Western North America Lynn McMurdie and Cliff Mass University of Washington.
Impact of Targeted Dropsonde Data on Mid-latitude Numerical Weather Forecasts during the 2011 Winter Storms Reconnaissance Program Presented by Tom Hamill.
On Improving GFS Forecast Skills in the Southern Hemisphere: Ideas and Preliminary Results Fanglin Yang Andrew Collard, Russ Treadon, John Derber NCEP-EMC.
Chris: From the P3, use AXBTs, take temp and humidities of the sonde profile and deduce SST. 190 sondes from G4 in Feb but no SSTs. For a couple of wind.
Data assimilation and observing systems strategies Pierre Gauthier Data Assimilation and Satellite Meteorology Division Meteorological Service of Canada.
Adaptive targeting in OSSE Outline Adaptive observing / data processing techniques in OSSE Addition to OSSE Link with THORPEX Link with T-PARC.
1 Precipitation verification Precipitation verification is still in a testing stage due to the lack of station observation data in some regions
30 November December International Workshop on Advancement of Typhoon Track Forecast Technique 11 Observing system experiments using the operational.
Alaska Coastal Climatologies Wind/Wave PRIDE Alaska Coastal Climatologies Wind/Wave Workshop Anchorage, Alaska August 2, 2005 Storm Track Capabilities.
AMB Verification and Quality Control monitoring Efforts involving RAOB, Profiler, Mesonets, Aircraft Bill Moninger, Xue Wei, Susan Sahm, Brian Jamison.
1 Rolf Langland Naval Research Laboratory – Monterey, CA Uncertainty in Operational Atmospheric Analyses.
CalWater 2 – Ocean Winds FY15 Implementation Plan Chris Fairall (ESRL), Paul Chang (NESDIS), Allen White (ESRL), Ryan Spackman (STC/ESRL), Marty Ralph.
Can we Predict the Impact of Observations on 3 to 6 day Winter Weather Forecasts? Masters Thesis Defense May 10, 2007 Kathryn J. Sellwood University of.
Upgraded Russian Radiosonde Network for IPY U.S. (NOAA) Winter NOAA G-4 and Air Force C-130s JapanPalau Typhoon Landfall U.S.(NSF/ONR), EU, Japan, Korea,
KIT – University of the State of Baden-Württemberg and National Laboratory of the Helmholtz Association Variability in forecasts of the track.
1 The Assessment of the DAOS WG on Observation Targeting Talk presented by Rolf Langland (NRL-Monterey) DAOS Working Group THIRD THORPEX International.
NATS 101 Section 6: Lecture 3 Weather vs. Climate.
1 A Pacific Predictability Experiment - Targeted Observing Issues and Strategies Rolf Langland Pacific Predictability Meeting Seattle, WA June 6, 2005.
1 Results from Winter Storm Reconnaissance Program 2008 Yucheng SongIMSG/EMC/NCEP Zoltan TothEMC/NCEP/NWS Sharan MajumdarUniv. of Miami Mark ShirleyNCO/NCEP/NWS.
1 Results from Winter Storm Reconnaissance Program 2007 Yucheng SongIMSG/EMC/NCEP Zoltan TothEMC/NCEP/NWS Sharan MajumdarUniv. of Miami Mark ShirleyNCO/NCEP/NWS.
2006(-07)TAMDAR aircraft impact experiments for RUC humidity, temperature and wind forecasts Stan Benjamin, Bill Moninger, Tracy Lorraine Smith, Brian.
Aircraft, Satellite Measurements and Numerical Simulations of Gravity Waves in the Extra-tropical UTLS Region Meng Zhang, Fuqing Zhang and Gang Ko Penn.
1 Rolf Langland NRL-Monterey Plans for Evaluation of Lidar Wind Observations at NRL-Monterey Working Group on Space-Based Lidar Winds 05 Feb 2008.
Lennart Bengtsson ESSC, Uni. Reading THORPEX Conference December 2004 Predictability and predictive skill of weather systems and atmospheric flow patterns.
Yucheng Song & Zoltan Toth 1 Yucheng Song and Zoltan Toth EMC/NCEP/NWS/NOAA Update on the Winter Storm Reconnaissance Program Meeting of the working group.
Munehiko Yamaguchi, Sharanya J. Majumdar (RSMAS/U. Miami) and multiple collaborators 3 rd THORPEX International Science Symposium 14 Sep Coordinated.
F. Prates/Grazzini, Data Assimilation Training Course March Error Tracking F. Prates/ F. Grazzini.
AMS Annual Meeting - January NRL Global Model Adaptive Observing During TPARC/TCS-08 Carolyn Reynolds Naval Research Laboratory, Monterey, CA OUTLINE:
Predictability of High Impact Weather during the Cool Season: CSTAR Update and the Development of a New Ensemble Sensitivity Tool for the Forecaster Brian.
Tropical Moisture Exports and Extreme Rainfall Mengqian Lu and Upmanu Lall Earth and Environmental Engineering, Columbia University, NY, NY, United States.
Adaptive targeting in OSSE Outline Adaptive observing / data processing techniques in OSSE Addition to OSSE Link with THORPEX Link with T-PARC Yucheng.
Impacts of Rossby Wave Packets on Forecast Uncertainties and Errors
Exploring Multi-Model Ensemble Performance in Extratropical Cyclones over Eastern North America and the Western Atlantic Ocean Nathan Korfe and Brian A.
NOAA G-IV AIRCRAFT TRACK AROUND HURRICANE IVAN. ETKF PLANNED FLIGHT ACTUAL G-IV FLIGHT.
Sensing Hazards with Operational Unmanned Technology: NOAA's multi-year plan to deploy the NASA Global Hawk aircraft for high impact weather Michael L.
Doppler Lidar Winds & Tropical Cyclones Frank D. Marks AOML/Hurricane Research Division 7 February 2007.
Potential Use of the NOAA G-IV for East Pacific Atmospheric Rivers Marty Ralph Dave Reynolds, Chris Fairall, Allen White, Mike Dettinger, Ryan Spackman.
Adaptive Observations at NWS Lacey Holland, SAIC at EMC/NCEP/NWS Zoltan Toth, EMC/NCEP/NWS Acknowledgements:
Global vs mesoscale ATOVS assimilation at the Met Office Global Large obs error (4 K) NESDIS 1B radiances NOAA-15 & 16 HIRS and AMSU thinned to 154 km.
TOWARDS DEVELOPMENT OF THORPEX AFRICA PLAN Andre KAMGA FOAMOUHOUE ACMAD For THORPEX AFRICA REGIONAL COMMITTEE 88 th AMS Annual meeting, Jan 20-24, New.
NOAA, version 1.0, 7 June 2016 Coordination Group for Meteorological Satellites - CGMS El Nino Rapid Response Presented to CGMS-44, Working Group 2, agenda.
An Investigation of the Skill of Week Two
Aircraft weather observations: Impacts for regional NWP models
Aircraft-based Observations:
Item Taking into account radiosonde position in verification
Science Objectives contained in three categories
Impact of aircraft data in the MSC forecast systems
Results from the THORPEX Observation Impact Inter-comparison Project
NATS 101 Lecture 3 Climate and Weather
Recent Forecast Impact Results from WSR and ATREC
NATS 101 Lecture 3 Climate and Weather
Presentation transcript:

Winter component of the T-PARC Yucheng Song 1, Zoltan Toth 2, Yoshio Asuma 3, Rolf Langland 4, Carolyn Reynolds 4, Edmund Chang 5, Jack Parrish 6, Istvan Szunyogh 7, Chris Doyle 8, Trevor Smith 8, Mel Shapiro 9, Alexander Kats 10, Mark Moran 11, Christina Prates 11, Cihan Sahin 11, David Richardson 11, Tim Hewson 11 (1) Plurality at NOAA/NWS/NCEP/EMC, Camp Springs, MD, USA (2) NOAA/NWS/NCEP/EMC, Camp Springs, MD, USA (3) University of the Ryukyus, Okinawa, Japan (4) NRL, Monterey, CA, USA (5) SUNY, Stonybrook, NY, USA (6) NOAA/AOC, MacDill AFB, FL, USA (7) Texas A&M University, College Station, Texas, USA (8) Environment Canada, Vancouver, BC, Canada (9) UCAR, Boulder, CO, USA (10) Roshydromet/CAO, Moscow, Russia (11) ECMWF, Shinfield Park, UNITED KINGDOM Third THORPEX International Science Symposium (TISS) :10-10:30

Motivations Operations Preliminary evaluations Summary Outline

CASE DEPENDENT, ETKF-BASED ANALYSIS OF THE INFLUENCE ON THE WINTER STORM Sharan Majumdar March 05 March 04 March 07March 06 Verification eventMarch 11

20 more times bigger errors than initial condition error after 5 days GFS “dropout” case

The time-mean geopotential height of the 300-hPa surface for (a) WSR99 and (b) WSR00. The sample period starts at 0000 UTC 13 Jan 1999 for WSR99 and at 0000 UTC 23 Jan 2000 for WSR00. Shown by shades is the daily amplification of the most unstable baroclinic mode (Eady index) for the time-mean flow in the 850– 925-hPa layer. Dropsonde locations are shown by crosses Szunyogh et al. 2002, M.W.R Storm track regions are most unstable regions a) b)

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

Collaborative efforts of winter T-PARC among multi-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)

OPERATIONS

The main website is the central place for forecast products and discussions A plethora of products have been used to provide sound guidance to the adaptive platforms Significant amount of coordination among different participants 1.Track redesign due to length change or weather pattern changes 2.Different time zones 3.Air traffic control 4.“Lost in translation”

Requests from HPC/SPC/OTHERS - example 46N 148E at 21/12Z Asian low 50N 128W at 23/00Z Vancouver area Priority Valid Time Area Remarks High 02/22-24/12z 40N 123W West coast pcpn Moderate 02/22/00z 39N 80W Eastern US system 02/23/00z 42N 72W Moderate 02/24/00z 35N 90W MS-TN Valley pcpn 02/25/00z 35N 87W High /23/00Z...33N/83W....Upper trof supporting psbl E coast storm Medium /23-24/00Z...40N/122W....CA precipitation

ECMWF/UKMO DTS system used as a reference in winter T-PARC

Today’s run +36 Our tool to design the tracks based on overlaid summary chart onto Google map

Google earth is widely used for track display and distance measurement G-IV and C-130 tracks on Feb 13, 12Z

Comparing sensitivity charts with short lead forecasts – as a reference to design the tracks A sound check with short lead time forecast

After flight check - track overlaid on MTSAT maps Surface pressure and 500mb geopotential height Courtesy of Dr. Asuma Yoshio

Wave packet from analysis From Edmund Chang Wave packet analysis used as a reference timing and location

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 a selected of 37 stations for 33 cases From Jan 12 to Feb 28, 2009

The tireless G-IV crew and their tracks NOAA AOC G-IV crews for T-PARC T-PARC/WSR09 tracks

Evaluation Results

21 Overall results for Surface pressure (T-PARC 2009) In certain cases, significant RMS reductions are observed as high as 35%

22 Overall results for vector wind (T-PARC 2009)

23 Surface Pressure RMS vs. Fcst Hours RMS error reduction vs. forecast lead time ~10-20% rms error reduction in winds

24 Vector Wind RMS vs. Fcst Hours RMS error reduction vs. forecast lead time ~10-20% rms error reduction in winds Beyond 4 days

25 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

26 4 significant systems/events Date Verification Region Leading hours Surface pressure RMS (with) Surface pressure RMS (w/o) RMS error reduction Jan 31E (77W, 44N)843.25mb5.45mb67% Feb 06AK (156W, 58N) mb9.904mb27.7% Feb 13W (115W,35N)721.20mb1.618mb34.8% Feb 24W(123W,40N) mb9.56mb35.2%

Wild West -- The worst weather on this Presidents Day Monday is in California, where rain, snow and wind are pounding most of the state. Flood watches have been posted for coastal areas while winter storm warnings are in effect for most of the eastern part of the state. The worst of the storminess will end later today, as the system moves into the Great Basin overnight and Tuesday. That same storm will eject into the middle and southern states by later Tuesday and Wednesday. Feb 16, 2009 from USATODAY Up to two meters of snow had fallen in the Sierra Nevada over the past week Review the Feb 13, 12Z missions

Wild West -- The worst weather on this Presidents Day Monday is in California, where rain, snow and wind are pounding most of the state. Flood watches have been posted for coastal areas while winter storm warnings are in effect for most of the eastern part of the state. The worst of the storminess will end later today, as the system moves into the Great Basin overnight and Tuesday. That same storm will eject into the middle and southern states by later Tuesday and Wednesday. Feb 16, 2009 from USATODAY Up to two meters of snow had fallen in the Sierra Nevada over the past week

30 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; shown in red) Forecast Degradation (hPa; blue)

31 March 1, 2009 CA Storm Forecast improvement Red: forecast improvement Globally averaged fit of surface pressure: Difference of forecast- analysis

Major snowstorm roars up coast Atlantic coast braces for biggest snowstorm of the season March 2, 2009, heavy rainfall near CA on the 27 th, Feb WHY T-PARC? The best example

Strong connection of the tropical and extra-tropical systems

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

FEBRUARY x10 -3 J kg -1 (Moist Total Energy Norm) Total # of targeted radiosonde data = 29,898 (06UTC and 18UTC) Number of targeted radiosonde profiles = 272 (33 stations provided at least one profile) Total targeted radiosonde impact = J kg -1 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 x10 -3 J kg -1 (Moist Total Energy Norm) Courtesy of Rolf Langland

1x10 -3 J kg -1 (Moist Total Energy Norm) Error Reduction Error Increase 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 JANUARY 2009 FEBRUARY 2009 Total # targeted LH-EAMDAR ascent/descent data = 24,423 (1-28 February 2009) Total targeted LH-EAMDAR impact = J kg -1 Courtesy of Rolf Langland

A myriad of research interests in Winter T-PARC Strong mapping into the US THORPEX Science Plan ( 13 of 15 priorities) Rossby wave packet analysis and IPY connection ( 3.4,4.4 ) Meso-scale storm structure and moist processes studies ( 4.1 ) Multi-scale tropical influences – YOTC ( 3.1,3.3,4.4 ) Data assimilation: best use of observations ( 4.2 ) Satellite data calibration/validation with in situ data ( 4.2 ) Adaptive targeting studies ( 4.3 ) Ensemble-based probabilistic forecasting & socio-economic applications - Winter Olympic Demo ( 4.5,5.1-5 ) Field phase completed, data archived by NASA How to support post-field research/evaluation?

Data archive contribution by NASA-Langley Research Center Web address: Need user account to access Support sftp and scp for scripting purposes Please contact us: Data: satellite data conventional data cloud images with tracks Some DTS products Analysis and forecast (pressure level data) Ackn: John Murray and Jared Entin (LARC)

Summary and Plans Field phase successfully completed –Winter T-PARC marks the first time vertical profiling of winter storms conducted west of the dateline Data archived at NASA (LARC) A wide variety of research opportunities now open –An ideal framework for research studies such as dynamical /physical processes storm initiation/propagation the 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 the data reduced forecast errors –NCEP data denial experiments Full rejection (done) Only rejecting the aircraft data (ongoing) Propose a joint meeting with summer T-PARC next year

GDAS: 300mb v (ave:30-60N)PRX2: 300mb v (ave:30-60N)

PRX2-PRX4: 300mb v (ave:30-60N)

JANUARY 2009FEBRUARY 2009 Sensitivity of 24hr Forecast to initial conditions Courtesy of Rolf Langland

WTPARC Targeted Observation Summary – NOGAPS/NAVDAS Impact on moist total-energy 24h forecast error norm in global domain January 2009 Impact# of obs Avg impact per-ob EAsian EAMDAR Jkg -1 17, x Jkg -1 Dropsondes Jkg -1 27, x Jkg -1 Russian Raobs Jkg -1 27, x Jkg -1 (06z and 18Z) February 2009 Impact# of obs Avg impact per-ob EAsian EAMDAR Jkg -1 24, x Jkg -1 Dropsondes Jkg -1 32, x Jkg -1 Russian Raobs Jkg -1 29, x Jkg -1 (06 and 18Z) Petropavlosk Jkg -1 3, x Jkg -1 Courtesy of Rolf Langland

WTPARC Targeted Observation Summary – NOGAPS/NAVDAS Impact on moist total-energy 24h forecast error norm in global domain January 2009 Impact# of obs Avg impact per-ob EAsian EAMDAR Jkg -1 17, x Jkg -1 Dropsondes Jkg -1 27, x Jkg -1 Russian Raobs Jkg -1 27, x Jkg -1 (06z and 18Z) February 2009 Impact# of obs Avg impact per-ob EAsian EAMDAR Jkg -1 24, x Jkg -1 Dropsondes Jkg -1 32, x Jkg -1 Russian Raobs Jkg -1 29, x Jkg -1 (06 and 18Z) Petropavlosk Jkg -1 3, x Jkg -1

Raob Station Petropavlosk Kamchatskoe (53.02N, E) Feb 2009 (very large forecast error reduction) Total Impact of all soundings = J kg -1 (10,320 data) Just the 06Z and 18Z soundings = J kg -1 (3,396 data)

Station radiosonde impact on 24H FORECAST ERROR IN NOGAPS/NAVDAS – Feb 2009 Number of Station radiosonde observations assimilated in NOGAPS/NAVDAS Summed impact of Station observations (error reduction is NEGATIVE, units are J kg -1 ) 6-hour assimilation windows