Weather Prediction Center (WPC) 2014 Review Tony Fracasso Acting Science and Operations Officer Contributions by Chris Bailey, Keith Brill, Jim Hayes,

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Presentation transcript:

Weather Prediction Center (WPC) 2014 Review Tony Fracasso Acting Science and Operations Officer Contributions by Chris Bailey, Keith Brill, Jim Hayes, David Novak, Dan Petersen 2014 NCEP Production Suite Review

Outline ●Highlights from 2014 o QPF: Days 0-7 o Winter Weather o Medium Range ●Collaboration with Regions ●Research to Operations (HMT-WPC) ●WPC Requirements for EMC 2

WPC QPF Services forecast lead time DAYS HOURS Day 4-7 QPF Deterministic QPF Excessive Rainfall Probabilistic QPF Mesoscale Precipitation Discussion Medium Range Days 1-3 QPF MetWatch 3

4

5 % Improvement 50% NAM 30% GFS 18% ECMWF 6% ENSBC GPRA GOAL: WPC FY 2014: 0.332

MetWatch Desk Provides enhanced situational awareness of potential flash flood events (1-6hrs) Similar to SPC’s MCD Model Requirement: Storm-scale ensemble 6

MetWatch Desk 727 total 431 MPDs issued YTD All MPDs Jim Hayes (WPC) 7

Winter Weather Desk 8

Winter Weather Deterministic and Probabilistic Snowfall and Ice Low tracks graphic Heavy Snow Discussion 9

Winter Weather Desk Verification Season Skill of human-influenced probabilities vs auto ensemble (4”/8”/12”) Forecaster adds skill at all thresholds overall, especially at higher amounts Day 1Day 2 Day 3 4” 8” 12” 10

Probability Snowfall Winter Weather Desk - PWPF 57 member ensemble WPC Deterministic Snowfall WPC “most likely” deterministic value Probability Snowfall 58 member ensemble 11

Official NWS Forecast Minimum Most Likely Maximum Expect at least this much Potential for this much WPC Probabilistic Data Supports WFOs 12 BOX OKX PHI LWX X X X X

Day 4-7 Probability of Winter Weather Issued twice daily (0900/2100Z) NWS FOs only Probability of >0.10” frozen QPF (~1” snow or 0.1” ice) in 24 hrs (e.g., day 4) Started 1 December 13

Medium Range Fronts & Pressure CONUS Sensible Wx Elements Alaska Sensible Wx Elements 14

Medium Range Verification # years to improve two forecast days was ~20 years ‘70s/’80s but was ~10 years in the 2000s Steady the last 3-4 years? 15

16

May 1-17 Dept. from Avg. (925hPa Temperature) X X X WPC AK Discussion (10 May) TEMPERATURES SHOULD BE ABOVE AVERAGE… RECORD HIGH TEMPERATURES POSSIBLE. AK Record Heat - May record or near-record highs King Salmon, AK 17

Nationally consistent set of gridded products for NDFD weather elements CLUSTER 1 NATIONAL BLEND The National Blend Plan WPC applies “over-the-loop” expertise to blended grids WPC Weather Forecast Offices 18 Schematic WPC Forecaster Interface CLUSTER 2

Clusters Example (Day 7) 500hPa heights/vorticity Cluster 1 (10 members) H Cluster 2 (7 members) 19

Clusters Verification (PMSL Day 7) 1 Sept - 24 Nov 2014 Cluster1 Cluster2 Cluster3 GEFS ECENS Given cluster(s) that beat the ECMWF ensemble mean Better  20

Collaboration Calls on High-Impact Events Facilitated by the Regional Operations Centers - Central US (July) - Tropical Storm Norbert, Odile (August) - Southern/Central US heavy rain (October) - Pre-Thanksgiving Day storm (November) 21

Winter Weather Desk Collaboration Season 254 Questions from WFOs (via 12Planet chat) 63 telephone calls 4 conference calls (33 WFOs) 3 National Go-To Meeting Winter Weather Webinars (70 WFOs, RFCs, OCCWS, regional HQ, and AWC) Dan Petersen (WPC) 22

Winter Weather Watch Collaborator Based on 12-hr winter storm warning criteria 24 Nov :58 UTC weather.gov webpage Winter Weather Watch Collaborator Output WPC 72-hour Probability of >8” Snow (%) 23

Hydrometeorological Testbed Winter Weather Experiment (Jan - Feb 2014) o Parallel SREF (with and without rime factor) o NAM with rime factor modification o 36 participants Flash Flood and Intense Rainfall (FFaIR) Experiment (July 2014) o Parallel NAM (now operational) o NCASE (NCEP Convection Allowing Scale Ensemble) - high resolution, multi-model, time-lagged ensemble 24

Pre-Thanksgiving Day Snow 00Z 26 Nov NAM Decreased snow - DC/NYC metro - CT River Valley Increased snow SW of Albany (resolution) NAM: QPF x (wx=snow) x Roebber SLR NAM Rime Filter 25 Experimental Datasets in Operations

Evolving Methodologies Ensemble approach offered best results Use modified probabilities (X% of Flash Flood Guidance) 26

Excessive Rainfall Outlook Changes Define Flash Flood to be within 40km of a point (consistent with SPC) Current WPC Excessive Rainfall Outlook Possible Future WPC Flash Flood Outlook 5-10% >10% >2% <5% 27

WPC Requirements QPF Improved skill (especially with high impact events) More accurate placement of convective maxima HRRRE 28

WPC Requirements Winter Weather Add rime factor and percent of frozen precipitation to GFS output (and GEFS?) Coupling to land-surface model Extratropical cyclone tracking displayed in AWIPS2 29

GEFS avg. 500hPa height error outside envelope (m) ECENS avg. 500hPa height error outside envelope (m) 168-hr forecasts (1 August – 1 November 2014) WPC Requirements Ensemble Systems Increased ensemble spread in the SREF and GEFS Bring GEFS reforecast into production Cohesive ensemble output synthesis methods 30

Extra Slides 31

GPRA GOAL FY14 WPC Driest month since Oct 1987! 6

Day 1 Day 2 Day 3

% Improvement 50% NAM 30% GFS 18% ECMWF 6% ENSBC

% Improvement 50% NAM 30% GFS 18% ECMWF 6% ENSBC 7

Experimental Datasets in Operations 26

Case: 26 November Z 26 Nov NAM - Decreased snow in DC/NYC metro - Increased snow in Catskills (resolution) NAM: QPF x (wx=snow) x Roebber SLR NAM Rime Filter

When does the public turn to WPC? WPC Webpage Hits Per Day (2014) ← 11 Feb Clearing snow at DCA 13 Feb 2014

T.S. Norbert - September 8, 2014 Phoenix, AZ Wettest Day in Recorded History in Phoenix I-15 destroyed in spots RFC Analysis Day 6-7 Forecast Day 3 ForecastDay 0 Forecast Flash Flood Reports Repor ts 4

Quotes “An unsophisticated forecaster uses statistics as a drunken man uses lamp posts… for support rather than illumination.” ~ Andrew Lang ( ) “Fate laughs at probabilities.” ~ Lytton E.G Bulwer ( )