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Travis Smith, Jidong Gao, Kristin Calhoun, Darrel Kingfield, Chenghao Fu, David Stensrud, Greg Stumpf & a cast of dozens NSSL / CIMMS Warn-on-Forecast real-time 3DVAR in the Hazardous Weather Testbed

Warn-on-Forecast real-time 3DVAR in the Hazardous Weather Testbed

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Warn-on-Forecast real-time 3DVAR in the Hazardous Weather Testbed. Travis Smith, Jidong Gao , Kristin Calhoun, Darrel Kingfield, Chenghao Fu, David Stensrud , Greg Stumpf & a cast of dozens NSSL / CIMMS. Overview. - PowerPoint PPT Presentation

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Page 1: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Travis Smith, Jidong Gao, Kristin Calhoun, Darrel Kingfield, Chenghao Fu, David Stensrud, Greg Stumpf & a cast of dozens

NSSL / CIMMS

Warn-on-Forecast real-time 3DVAR in

the Hazardous Weather Testbed

Page 2: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

OverviewInitial demonstration of real-time data assimilation ability to NWS forecasters. (2010-2012)Simulated warning operations (2011-2012)Comparison of 3DVAR data to single-radar and MR/MS severe weather algorithms.

Page 3: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

EWP 2012 Spring Experiment

Timeline5 weeks of real-time operations4-6 visiting forecasters per week (28 total)

• Product training prior to arrival• Leverage NWS Weather Event Simulator (WES)• New this year

Monday: 1pm – 9pm• EWP Orientation and real-time operations

Tuesday-Thursday: 8-hour flex shift• Start-time dependent on yesterday’s forecast• Ops start:12pm – 3pm • Ops end: 8pm – 11pm

Friday: 9am – 1pm• Debrief, discussion, and NWS/partners webinar

Overview

Training

Schedule

Virtual WES technology and training gave participants

exposure to products offsite

This allowed Monday to be an operations day, maximizing time

for forecaster feedback

Page 4: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

New In 2012: AWIPS-2NWS Advanced Weather Interactive Processing System 2 (AWIPS-2) is the next generation operational forecasting platform

Provides a familiar environment for the forecasters to evaluate the datasets and issue warnings via WarnGen

Domain Manager forSubsetting Experimental

Datasets

10 Floating Radar ProductGenerators for Level-III

Data Generation

Flexible Environment AllowingAny WFO to be Used in Operations

Additional Features:

Page 5: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Some available products (AWIPS2)

Max Updraft

Max Divergence above 8km

Simulated Reflectivity

3D Wind field (barbs, streamlines, color fill)

Page 6: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Some available products (AWIPS2)

0-3 km Max Vorticity

Updraft Helicity

Time accumulations (tracks) of Maximum Vorticity, Updraft Helicity, and Updraft Speed

Page 7: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Real-time 3DVAR supercells 2010-2012

• Automated tracking / data mining (Lakshmanan et al)

• Max 3-7km vertical vorticity > 0.01 s-1

• Lifetime 60 minutes or more

218 total85 w/ tornado(s)176 w/ other report

Page 8: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Number of radars used in analysis

Radars within 230 km of an analyzed storm cell

Page 9: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Storm distribution by range to nearest radar

5-minute time steps

Page 10: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Colman Co, TX: 2250 UTC, 11 June 2012

Max Updraft + 1 km winds Storm-top Divergence

Updraft HelicityMR/MS Hail Size (MESH)

Page 11: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Colman Co, TX: 2255 UTC, 11 June 2012

Max Updraft + 1 km winds Storm-top Divergence

Updraft HelicityMR/MS Hail Size (MESH)

Page 12: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Colman Co, TX: 2300 UTC, 11 June 2012

Max Updraft + 1 km winds Storm-top Divergence

Updraft HelicityMR/MS Hail Size (MESH)

Page 13: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Max Updraft Speed versus MR/MS hail size

estimate

All cases: R = 0.39 w/95% confidence interval of +/- 0.05

Page 14: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Max updraft speedW

(ms-

1 )

Page 15: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Vorticity versus single-radar azimuthal shear

All cases: R = 0.75w/ 95% confidence interval of +/- 0.02.

Page 16: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Updraft Helicity Distribution

Page 17: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Updraft Helicity Distribution

Page 18: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Receiving Feedback

Surveys

Live-Blogging

Forecasters can provide their pre-warning decision

making thoughts and images in real-time

Forecasters providing feedback on the

strengths/weaknesses of the products

Dedicated face-to-face time between forecasters

and developers on the evaluated products

Present summary of results to a wide audience

Weekly debriefing and WDTB webinar

Page 19: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Favorite products:

Updraft intensity Vertical VorticityStorm-top divergenceUpdraft HelicityUseful when “trying to diagnose a large number of storms” and “sitting on the fence” (about issuing a warning)

Forecaster Feedback

Page 20: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Forecaster Feedback

“highlighted the most intense areas of the storm” provided “information on cycling mesocylones”

Favorite products:

Updraft intensity Vertical VorticityStorm-top divergenceUpdraft Helicity

Page 21: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

More “efficient to view than existing algorithms” to diagnosis storm intensity and rotation

Forecaster Feedback

Favorite products:

Updraft intensity Vertical VorticityStorm-top divergenceUpdraft Helicity

Page 22: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Real-time data Issues:

Data Latency (approx 5 min)

Distance from Radar (lack of low-level input)

Bad data quality leads to bad 3DVARside lobe contamination, improper

dealiasing

Forecaster Feedback

Page 23: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Other related work“Virtual Volume Scan” radar data to put input data on the same timing as 3DVAR processing.

Improved radar QC

Page 24: Warn-on-Forecast real-time 3DVAR in the Hazardous Weather  Testbed

Online resources3DVAR real-time and archive images:• http://tiny.cc/3DVAREWP web site:• http://ewp.nssl.noaa.govEWP Blog:• https://secure.nssl.noaa.gov/projects/ewp/bl

og/

Archived WDTB webinars available:• http://www.wdtb.noaa.gov

/resources/HWT-EWP/