Interactions with WFOs

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Interactions with WFOs NWS SSD and NASA/SPoRT Meeting 3 March, 2010 Kevin Fuell, Geoffrey Stano transitioning unique NASA data and research technologies to operations National Space Science and Technology Center, Huntsville, AL

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Interactions with WFOs. Kevin Fuell, Geoffrey Stano. NWS SSD and NASA/SPoRT Meeting 3 March, 2010. National Space Science and Technology Center, Huntsville, AL. transitioning unique NASA data and research technologies to operations. Training - Relevance to NASA/SPoRT. - PowerPoint PPT Presentation

Transcript of Interactions with WFOs

Page 1: Interactions with WFOs

Interactions with WFOs

NWS SSD and NASA/SPoRT Meeting3 March, 2010

Kevin Fuell, Geoffrey Stano

transitioning unique NASA data and research technologies to operations

National Space Science and Technology Center, Huntsville, AL

Page 2: Interactions with WFOs

transitioning unique NASA data and research technologies to operations

Training - Relevance to NASA/SPoRT

The “T” in SPoRT does not stand for “training” so why do it?

• Key part of supporting the transition of products

– Provide information on products to be tested and evaluated

– Communicate to other partners the lessons learned from initial testing

– Demonstrate utility and application to a forecast issue

• Bottom line: These are adult learners who mainly want to know how to apply the product in the workplace.

What does “source density” mean?

Why use it with radar?

Total? Meaning it shows the CGs that the NLDN misses?

I can apply it to more than just svr wx? Really?

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transitioning unique NASA data and research technologies to operations

Interactions via co-location and site visits – Kinesthetic and Audio/Visual Learning

• Science Sharing and co-location visits at HUN

– Hands-on demo product SPoRT provides for specific forecast application

– Quickly answer questions (both ways)– Display real-time data for discussion

• Interactions and use in HUN’s Collaborative Research Area led to first web-based training

• Visits to other WFOs– Present training on specific products that

apply to high priority forecast items• BMX (x2), OHX, MRX – LMA, MODIS fog, LIS, ADAS• HGX – MODIS SST, LMA• CRP – MODIS RGB and fog, • SMG – MODIS SST, LMA• MLB – LMA, MODIS SST• ABQ – LMA, TPW, MODIS RGB and fog

GOES Aviation Fog Depth and Low Cloud Base

First Hand Feedback

Science Talk in Operations Area

Page 4: Interactions with WFOs

transitioning unique NASA data and research technologies to operations

Tele-training

• Bi-monthly Coordination Calls– Present training on a relevant topic

(seasonal, new product, reminder)– Attendees hear what other users are

doing (peer-to-peer learning)

• Advocates can communicate this info or link to module/PPT to rest of the office

– MRX = Doug Schneider– OHX = Jim Moser– BMX = Kevin Laws– MOB = Steve Miller, Brian Daly– MLB = Tony Cristaldi– CRP = Waylon Collins– HGX = Kent Prochazka – SMG = Brian Hoeth, Doris Hood– ABQ = Brian Guyer, Annette Mokry

• ITOs contact us with data issues

AMSR-E June 2009

MODIS/GOES Hybrid

October 2009

MODIS in GFEApril 2009

MODIS “Fog”August 2009

NALMA / Eval prepApril 2009

MODIS SuiteOctober 2008

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transitioning unique NASA data and research technologies to operations

Distance Learning

• Development of short, easily digestible training modules that are web-based and incorporate simple instructional design methods.

– Articulate Presenter– Incorporates examples by active WFOs– Aim is for 15 minutes or less

• Working with Brian Motta (NWS/FDTB) to add modules to NOAA LMS for easier use and tracking by WFOs• Bottom line: Provides training to

a variety of learning styles, is interactive, and is tailored to end users.

Example of inserting interactive questions to reinforce learning and allow user to confirm their understanding.

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transitioning unique NASA data and research technologies to operations

Aviation Product Training

• NESDIS asked SPoRT to transition GOES Low Cloud Base and Fog Depth products

– Developed 15 minute module and introduced MODIS Fog product during evaluation

• User feedback indicates interest in MODIS high resolution fog product

– Developed 8 minute module on MODIS Spectral Difference (i.e. Fog)

• User feedback provided to NESDIS product developers:

– Combine the two products– Greater delineation of low clouds

ceilings below 1000 ft– Increase frequency of LCB product– Application of fog depth to MODIS

Graphics: screen grab of a interior page of module

MODIS “Fog”at 1km resolution vs. 4km GOES

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transitioning unique NASA data and research technologies to operations

MODIS Fog

• Demo• Created as a lead into evaluation• Increase learning by…….

– Relevant - demonstrates application with user-provided examples

• August 28, 2008 – HUN river valley case• September 7, 2008 – HUN & MRX radiational

case• April 27, 2009 – HUN variable topography case

– Pre-existing Knowledge - Illustrates how it adds value to standard data

• User feedback leading to improvements in MODIS fog product and a follow up training module

http://weather.msfc.nasa.gov/sport/training/MODIS_fog_training/launcher.html

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transitioning unique NASA data and research technologies to operations

Total Lightning Training I

• Stems from delivering presentations during several site visits

– Crafted from user discussions and examples

• Educates users of CG vs total lightning

– What is “source density”?

• Describes applications• Lightning II - simulation/scenario

based– First CG– Classic severe wx– Marginal severe to non-warning event

http://weather.msfc.nasa.gov/sport/training/LMA/launcher.html

Source density, VIL, Reflectivity

0.5, 1.3

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transitioning unique NASA data and research technologies to operations

CIRA Blended TPW

• CIRA asked SPoRT to distribute its Blended TPW and associated Anomaly product

• Several SPoRT WFOs provided feedback of positive value

– MFL – tracking tropical waves, incr. lead time for flooding events

– MLB – monitor trends and plumes– HUN – validation of model short-term

forecast

• Mutli-agency effort to create training led by SPoRT

– Product content from CIRA experts – Cases from SPoRT users– Application from national center uses

Miami, FL submitted case of increased lead time to flooding

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transitioning unique NASA data and research technologies to operations

Future work - Training

• Increase individual Science Sharing and Feedback sessions with WFOs for specific products via telecon

• Continue creating a library of short training modules for SPoRT suite

• Develop training with GOES-R Proving Ground partners

– Possible ABI-proxy product module– Per request of PG partners – we are in

the process of creating a total lightning module that will include GLM-like products

MODIS /GOES Hybrid of derived or multichannel products

MODIS

GOES

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MODIS SST and NASA LIS for WRF EMS – SPoRT interaction w/ WFOs

• MODIS SST composites and LIS surface fields (i.e. soil moisture,…)

– SST at 1 km, LIS at 3 km / 1 km nest

• J. Case regular interactions w/ MFL, MOB, BMX

– 6-month SST impact study with MFL and current discussions of including LIS

– Re-run of TS. Claudette case for MOB to examine impact of SST

– Currently discussing use of LIS surface fields for upcoming BMX project to improve short-term convection fcst

• J. Case provides support to WRF-EMS developer to add NASA data options

Graphic: get SST composites and some other WRF output graphic

transitioning unique NASA data and research technologies to operations

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transitioning unique NASA data and research technologies to operations

How NASA data in AWIPS II is possible and how it will change things…

• HUN co-location makes it easier and faster to transition data.

– Jason Burks part of NCLADT

• Presently create several grids at varying resolutions to cover geographic areas of interest

– i.e. 4km conus, 1km region, 500m state, 250m WFO scales

• AWIPS II should allow 1 data file at the highest resolution. Then just zoom and pan.

– Can NWS bandwidth handle it?– Can AWIPS II graphic card handle it?

• Data to be sent in a more raw form to retain higher fidelity

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transitioning unique NASA data and research technologies to operations

Data Distribution via NWS Regions

• “Have it your way.”• FTP to LDM• Support from NWS Regions• Increased resources to

maintain/monitor data flow– Fewer disruptions to end users– Shorter time during outages– Established main points of

contact for improved communication

CIRA GOES AviationMODISAMSRE ADAS

SPoRT

SRHQ

Total Lightning

ARHQPRHQCRHQWRHQERHQ

Local WFOs