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1 NCEP Update: Focus on Winter “Where America’s Climate, Weather and Ocean Services Begin” Louis W. Uccellini Director, NCEP Northeast Regional Operational.

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Presentation on theme: "1 NCEP Update: Focus on Winter “Where America’s Climate, Weather and Ocean Services Begin” Louis W. Uccellini Director, NCEP Northeast Regional Operational."— Presentation transcript:

1 1 NCEP Update: Focus on Winter “Where America’s Climate, Weather and Ocean Services Begin” Louis W. Uccellini Director, NCEP Northeast Regional Operational Workshop Albany, New York November 1, 2005

2 2 Outline NWS “Seamless Suite” Some recent advancements –Seasonal –Medium Range –Day 4-7 NDFD Day 1-3 Winter Weather Desk –SREF Support Other update items –Space Environment Center –Computer –WRF –Building

3 3 CFS 2x/day CDC 6-10 Day Forecast Upgrade HPC-NDFD, Days 4 -7 HPC Winter Weather Desk Days 1-3 WRF/SREF NAEFS Week 2 Hazards Assessment

4 The NCEP coupled Climate Forecast System (implemented August 24, 2004) Atmospheric component Global Forecast System 2003 (GFS03) T62 in horizontal; 64 layers in vertical Oceanic component GFDL MOM3 (Pacanowski and Griffies, 1998) Once per day coupling Sea ice extent based on observed climatology 60 runs per month used for a 9 month ensemble prediction Model now run twice per day

5 5 Without skill mask CFS Seasonal Precip Forecast (mm/month)

6 6 With skill mask If anomaly correlation between forecast and observed conditions over the 1982-2003 period is below 0.3, values are not shown CFS Seasonal Precip Forecast (mm/month)

7 7 Without skill mask CFS Seasonal Temp Forecast (deg/month)

8 8 With skill mask If anomaly correlation between forecast and observed conditions over the 1982-2003 period is below 0.3, values are not shown CFS Seasonal Temp Forecast (deg/month)

9 9 CPC Winter Season Forecast 2005-06

10 10 North American Ensemble Forecast System Combines global ensemble forecasts from Canada & USA –Now: CAN – 16/day out to 10 days, US – 40/day out to 16 days –’06 – CAN 40/day out to 16 days, US – 56/day out to 16 days –’07 – CAN 40/day out to 16 days, US – 80/day out to 16 days Generates products for –Intermediate users: weather forecasters at NCEP Service Centers and WFOs –Specialized users: hydrologic applications in all three countries –End users: forecasts for public distribution in US, Canada (MSC) and Mexico (NMSM) Future activities –Adding products (probabilistic in nature) –Incorporating ensemble data from other centers (e.g., FNMOC) –Unified evaluation/verification procedures International project to produce operational multi-center ensemble products

11 11 NAEFS Products NAEFS basic product list –11 functionalities Ensemble mean, spread, probabilities, etc –50 variables U,v,t,z,CAPE, precip type, etc. –7 domains Global, NH, NA, CONUS, SA Carib., Africa 300-400 products requested by users (will be supplied via priority order) –Graphics NAWIPS (March 06) NCEP Model Web Page – as early as March 2006 on experimental basis –Grids NAWIPS ftp site (GRIB2) in planning phase (Mar 06) NDGD in planning phase (Mar 06) Still working availability issues - first priority: “intermediate” users

12 12 ENSEMBLE 10-, 50- (MEDIAN) & 90-PERCENTILE FORECAST VALUES (BLACK CONTOURS) AND CORRESPONDING CLIMATE PERCENTILES (SHADES OF COLOR) 90 percentile 10 percentile 50 percentile

13 13 8-14 day Outlook 6-10 day Outlook Hazards Assessment Outlooks for period of rainfall from remnants of Tropical Storm Tammy

14 14 6-10 day forecast valid Oct 30 – Nov 3, 2005 TemperaturePrecipitation Temperature Precipitation 8-14 day forecast valid Oct 29 – Nov 4, 2005

15 15 4-7 Day HPC Gridded Forecast The following grids are being generated daily Experimental grids can be viewed here –http://www.hpc.ncep.noaa.gov/5km_grids/5km_gridsbody.html Production Methodology documentation –http://www.hpc.ncep.noaa.gov/5km_grids/medr_5km_methodolo gy.pdf All grids extend offshore to cover the coastal waters Verification program underway –Maximum temperature –Minimum temperature –12 hour PoP –6 hourly dew point –6 hourly wind (direction and speed) –6 hourly cloud cover –12 hourly weather

16 16 HPC/NDFD Highlights For decades HPC provided day 3 - 7 guidance –Max Temp, Min Temp, 24 hr (later 12 hr) Pop, surface progs Spring 2004 - HPC asked to provide forecasts for additional fields including dew point, sky cover, wind direction and speed, and precipitation type HPC requested to deliver these forecasts as 5 km grids HPC began providing these fields in June 2004.

17 17 Methodology HPC has 2 forecasters/shift preparing day 4 – 7 forecasts (one shift/day) –One prepares surface progs and writes the narrative –Second prepares the max/min temperatures and PoPs HPC uses N-AWIPS to generate forecasts –Forecasters start with MOS max/min temps and MOS12 hr PoPs –Forecasters can edit 384 stations; usually edit ~ 20 - 25% of stations for a particular forecast –Usually focus on areas they expect MOS to be deficient due to synoptic scale considerations Additional fields increased the number of grids from 16 to 102 –No additional forecasters made available –Only solution was to generate additional fields automatically Basic philosophy is to generate a set of grids consistent with the manually generated forecasts (H, L, Fronts) –Each additional field is generated from a manually prepared HPC product –Currently, these additional fields are not touched by a forecaster

18 18 Grid Production Max/min temperature grids are produced by interpolation of manually prepared point forecasts to a grid with Prism climatology as a background PoP grids are interpolated from HPC modified stations Dew points use the HPC temperature forecasts and MOS ensemble with Prism climatology as a background Cloud cover is based on HPC PoPs and max temps Winds are based on HPC surface progs Precipitation type is based on HPC max/min temperature forecasts and on PoPs (for aerial coverage) WFOs provide input between “preliminary” and “final” product release through 12Planet

19 19 Verification Results In general, HPC point forecasts are as good as or better than MOS and NDFD HPC winds are poorest of all HPC grids These results have been consistent from month to month

20 20 How HPC adds value to Day 4 - 7 HPC shows 5 – 10% improvement over MOS –Is this a good use of resources?

21 21 How HPC adds Value to Day 4 – 7 (Cont.) A “Big win” or “Big loss” occurs when HPC beats or looses to MOS by > 10 degrees. In those cases, HPC is better than MOS ~ 80 percent of the time (sample size ~ 35 - 40) HPC BIG WIN VS BIG LOSS PERCENTAGES COMPARED TO GFS MOS 2004 % of time

22 22 4-7 Day Gridded Products 4 day valid Nov 1 Maximum Temperature 5 day valid Nov 2 6 day valid Nov 3 7 day valid Nov 4

23 23 4-7 Day Gridded Products 4 day valid Nov 1 Minimum Temperature 5 day valid Nov 2 6 day valid Nov 3 7 day valid Nov 4

24 24 Issues Time of release of forecasts –Some WFOs want HPC to issued grids earlier HPC starts with MOS rather than previous forecast –Field prefers less “flip-flopping” How involved do forecasters need to be? –Are post-processed grids good enough? Should HPC provide probabilistic info? –QPF – exceedance values –Day 4 – 7 – ranges in addition to “best guess” How is collaborative approach sustained?

25 25 Continued improvement of methodology –Better algorithms for post processed fields Faster processing of grids for earlier delivery –Better hardware –Optimize processing Expand coverage to OCONUS Explore other ways of creating sensible weather grids –Greater use of ensembles to create grids from selected blend (NAEFS) –Forecasters focus on model selection and modification Future Plans

26 26 Winter Weather ?Goals of 4 year experiment from 2001- 2004: ?Improve Winter Weather Services to the public through coordination of the winter weather watches/warnings with National guidance products ?Test short range ensemble for their applications to winter weather forecasting ?Motivation: ?Jan 24-25, 2000; December 30, 2000: March 4-6, 2001 ?WWD “operational” September 15, 2004 NWS Winter Weather Desk

27 27 Regional Stats ERWWE1 (01-02’) WWE2 (02-03’) WWE3 (03-04’) WWD (04- 05’) # WFOs823 ALL POD.89.90.92 FAR.33.30.32.30 CSI.62.65M.66 LT–Warn13151821 To date NWS FY05 LT is 18h, 3h greater than GPRA goal of 15h CRWWE2 (02-03’) WWE3 (03-04’) WWD* (04- 05’) # WFOs833ALL POD.90.88.92 FAR.40.45.32 CSI.57.51.65 LT–Warn13 17 WRNonWWE3 (03-04’) WWE3 (03-04’) WWD* (04-05’) # WFOs1210ALL POD.86.88 FAR.26.27.30 CSI.66.67.64 LT–Warn121416 SRNonWWE 3 (03- 04’) WWE3 (03-04’) WWD (04- 05’) # WFOs411ALL POD.84.92.90 FAR.37.38.39 CSI.57.59.57 LT–Warn599 * Oct - Mar

28 28 February 28 th 2005 Event

29 29 February 28, 2005 Event 48 hr prob of >4”24 hr prob of >4” 24 hr storm track 24 hr snowfall

30 30

31 31 Winter Weather Desk Status ?Time line: Sep 15 – April 1 ?Participants ?NCEP HPC ?Provide SREF based Winter Wx guidance ?Collaborate with WFOs (Chat Room Technology) ?WFOs ?All CONUS WFOs ?Use guidance from NCEP to produce coordinated Winter Storm Watches/Warnings ?Products: http://www.hpc.ncep.noaa.gov/wwd/winter_wx.shtml ?24 h probability (low, moderate, high) of meeting/exceeding 4”, 8”, 12” snow, 0.25” freezing rain (for day 1, 2, 3) ?72h Low tracks graphic and discussion

32 32 Winter Weather Desk Status (cont.) Off to a good start Began operational status 00Z Sept 15 Three significant event so far: all verified exceptionally well for snowfall amount and watch/warning criteria –Ern MT into the Dakotas (Oct 4-5) Collaboration conducted with FGF, BYZ, GGW, BIS, UNR –Front Range Event (Oct 9-10) Collaboration conducted with CYS and PUB –Northeast Event (Oct 24-25) Collaboration conducted with RLX, OKX, PHL, LWX Early challenges –Staffing WWD during active tropical season ! –Training HPC staff (vets and newbies) and WFOs

33 33 Day 2 Probability of Snow Valid 12Z Oct 10 – 12Z Oct 11 > 8 in > 12 in

34 34 Short Range Ensemble Forecast ?15 members twice per day ?87 hrs from 9 and 21Z ?Resolution 32km/60 levels ?Mean and spread charts available for forecaster use ?Developing products on probability of snow and ice accumulation ?http://wwwt.emc.ncep.noaa.gov/mmb/SREF/SREF.html 0.01” snow

35 35 SREF Upgrades FY2005 Improved and new products (Convective, Aviation, Winter Weather) Output SREF forecasts for Alaska and Hawaii Add RSM BUFR files Common WRF post-processor FY2006 Add six members twice per day (WRF ARW & WRF NMM) Run SREF 4 times per day (03, 09, 15 and 21 UTC) Implement Grid Based Bias Correction Improve Probabilistic FVS verification Develop spread information for NDGD Add WRF BUFR Files Implement ensemble mean BUFR files

36 36 New Impact Graphics from SREF Probability event will last more than 12, 24, 48 hrs Probability visibility will be reduced to 1/2, 1/4, or 1/8 mile in winter precip Probability winter precip rate will be more than 1, 2, or 3" per hr Probability road sensor will detect winter precip (relative to normal) Probability Blizzard Criteria will be met Probability Freezing Rain.01" or more will accumulate on any surface Probability NWS Winter Storm Warning criteria will be met (under construction)

37 37 National Operational Hydrologic Remote Sensing Center Analysis Snow Depth as of 12Z Oct 26

38 38 Low tracks Valid 12z Oct 24, 2005 Thru 12Z Oct 27, 2005

39 39 >12 in >8 in >4 in 48 hour probability of snow Valid 12Z Oct 25 – 12Z Oct 26

40 40

41 41 Experimental WWD Snow Accums downscaled using PRISM data

42 42 Probability Snow Detected on Roads

43 43 NCEP: Other Update Items Space Environment Center Computing Capability WRF Update Building

44 44 Space Environment Center SEC formally joined NCEP/NWS/NOAA on January 9 –Their addition helps foster a seamless suite of operational products from the “Sun to the Sea” Provides space weather alerts and warnings for disturbances that can affect people and equipment working in space and on Earth Service/Science linkage offers many exciting challenges for future growth to insure the delivery of weather/ocean/climate products to a diverse and increasingly sophisticated user community (e.g., climate, aviation)

45 45 Receives Over 210 Million Global Observations Daily Sustained Computational Speed: 1.485 Trillion Calculations/Sec Generates More Than 5.7 Million Model Fields Each Day Global Models (Weather, Ocean, Climate) Regional Models (Aviation, Severe Weather, Fire Weather) Hazards Models (Hurricane, Volcanic Ash, Dispersion) 2.4x upgrade operational on January 25, 2005 Backup in Fairmont, WV operational on January 25, 2005 Computing Capability Commissioned/Operational IBM Supercomputer in Gaithersburg, MD (June 6, 2003) $26.4M/Year Investment

46 46 GFS CFS GFDL SREF NAM - Eta NOAH Land Surface Model Dispersion Air Quality 2005 NCEP Production Suite Atmospheric Model Dependencies Forecas t GGSIGGSI WRF-NMM WRF-ARW ETA RSM L D A S Sev Wx WRF-NMM WRF-ARW GENS EDASEDAS RUC

47 47 WRF Implementation Schedule “HiResWindow” for Hazardous Weather: (ARW and NMM) Implemented operationally at NCEP on 6/28/05 (~5 km) WRF SREF members: Operational FY06 (1 st Qtr) North American WRF: Operational in FY06 (3 rd Qtr) WRF SREF: Fully Operational in FY07* Hurricane WRF: Operational in FY07* Rapid Refresh WRF: Operational in FY07* WRF Chem: Beyond FY08* * As resources allow

48 48 GFS CFS Hurricane WRF SREF NAM - WRF NOAH Land Surface Model Dispersion Chem WRF* Air Quality 2007 NCEP Production Suite Atmospheric Model Dependencies Forecas t Rapid Refresh WRF GGSIGGSI RGSIRGSI WRF-NMM WRF-ARW RSM ? L D A S Sev Wx WRF-NMM WRF-ARW *FY08 GENS

49 49 NOAA Center for Weather and Climate Prediction Defined requirements for 268,762 RSF Includes housing 800 Federal employees, contractors, and visiting scientists 5 NCEP Centers NESDIS research and satellite services OAR Air Resources Laboratory Begin move to new facility September ’07 and complete by Feb ‘08

50 50 Summary Making progress with collaborative forecasting –Across entire spectrum from climate to weather –Event-driven to standard day-to-day forecasts –NCEP Service and Modeling Centers are “ready for winter” Making progress with a community modeling approach across all time scales – increasingly ensemble based NCEP infrastructure issues being addressed –Computer –Buildings (UMD and OU (SPC))

51 51 Background Slides

52 52

53 53 NOAA Center for Weather and Climate Prediction

54 54


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