Short-term Prediction Research
and Transition Center

Survey & Results

2002 NASA-NWS Joint Symposium on Short-Term Forecasting and the Convective Weather Warning Process
Participant Survey

The organizers of the symposium have created this survey to gauge the interest level, concerns and needs of the participants. We would very much like everyone to fill out this survey, as your responses may be critical in determining the direction of future collaborative activities. Thank you for your time and effort in filling out this survey.

Affiliation:
NASA ___ Media ___ University ___
Emergency Management ___ NWS (Operations) ___ NWS (HQ) ___
Other (please specify) ___    

1. From your perspective, what do you see as the top 5 short-term (0-12 hour) forecast issues affecting your area or constituency? (i.e., convective initiation timing, forecasting mode of convection, better precipitation forecasts, improved aviation forecasts, etc.)

2. What types of products, services or data sets (i.e., satellite, radar, NWP, etc.) do you currently utilize to address the issues listed above?

3. How do you envision that these current products and services could be improved to better meet your needs?

4. Are there certain problems or issues that affect your local planning and operations that you feel are not adequately addressed by NWS products or services? (i.e., excessive lightning deaths, accurate wintertime model QPF, onset of wintertime precip, etc.)

5. What type(s) of new products, services, or data sets would you like to see developed in the future to address your local planning or operations? (i.e., higher resolution NWP or satellite data, lightning warnings, etc.)

6. How do you (or can you) see the research and academia community better helping to address these issues?

7. How are you currently introduced or exposed to new products, services, or datasets? (Examples...publications, conferences, memos, "word of mouth")

8. From your perspective, how could you be better introduced to those products, services or data sets?

9. As end users, would like you like to see more detailed verification information? If so, what type? (Ex. verification by convective regime, storm type - MCS, supercell, etc., model versus model, forecast vs model, etc.)

10. Satellite data is generally underutilized. What factor(s) do you feel limit its utility (data access, scientific understanding, training limitations). From what you hear about available satellite date from SpoRT, what do you see as most useful?

11. What one element or issue does the NWS need to address in order to increase warning lead times and decrease false alarm ratios? (i.e. additional WES training, science training, better spotter network)

RESULTS

Affiliation (number that responded):
NASA - 0
University - 0
Media - 1 (5.9%)
Emergency Management - 1 (5.9%)
NWS (Operations) - 12 (70.6%)
NWS (HQ) - 0
Others:
FAA - 1 (5.9%)
Gov't Lab - 1 (5.9%)
NOAA/OAR/FSL - 1 (5.9%)

1. From your perspective, what do you see as the top 5 short-term (0-12 hour) forecast issues affecting your area or constituency? (i.e., convective initiation timing, forecasting mode of convection, better precipitation forecasts, improved aviation forecasts, etc.)

(10) Convective initiation - improve warning lead times - utilize environmental winds and temps

(9) Accurate QPF forecasts - better training

(9) Convective forecasts - evolution of existing storms - storm type

(7) Improved aviation forecasts - timing of convection - verification programs that provide feedback quickly to forecasters - also program that takes into account consistency with zone forecasts

(7) Cloud forecasts - fog forecasts - ceiling and visibility forecasts in the 0-6 hour period

(6) Better short-term modeling (RUC/MesoEta/MM5) - local data sets, modeling, ensembles - diabatic initialization (to eliminate spin-up time)

(6) Precip type forecasting

(4) Forecasting max QPF (point and/or areal) for an event - better training

(3) Onset/timing of sensible weather (i.e. When is the snow going to begin?)

(3) Low level winds and temperatures structure (PBL)

(2) Better sounding data available

(2) Short-term lightning forecasts - flash density distribution (include onset and ending)

(2) Improved visualization of forecast information - ability to depict forecast information in high resolution gridded format

(1) Thunderstorms along coast killing a line of convection in northern AL

(1) Conditions in NE AL (need mesonet data)

(1) Storm reports from MS are often relayed too late

(1) Getting the word out to the users concerning the suite of products we issue

(1) Better communication with spotters - getting spotters to be active in calling in reports

(1) Better quality controlled data

(1) More real-time hourly precipitation reports to support radar estimates

(1) Unexpected elevated convection

(1) Forecaster complacency - think nothing will happen

(1) Issuing Flash Flood warnings - not pro-active enough - waits until flooding already ongoing

(1) Boundary forcing - surface winds, frontal positions

(1) Forestry needs

(1) Higher POD for severe weather/tornado warnings

(1) Lower FAR - but not at expense of POD

(1) Improved operational implementation of proven research/development

2. What types of products, services or data sets (i.e., satellite, radar, NWP, etc.) do you currently utilize to address the issues listed above?

(17) 88D (and other ) radar data - terminal Doppler - FAA radar

(14) Satellite - primarily GOES

(12) NCEP Models

(5) LAPS

(5) MSAS

(5) Local Model data (MM5)

(3) Surface observations - and supplemental surface data (FAA tower, forestry obs)

(2) Sounding model data

(1) ADAS

(1) Lightning

(1) LDAR

(1) LISDAD

(1) WDSS

(1) ITWS

(1) NOGAPS model data

(1) ECMWF model data

(1) Isentropic analysis

(1) Boundary layer analysis

(1) Local training

(1) Ham radio

(1) COOP data

(1) ASOS

(1) Profiler data

(1) Aircraft reports/Pireps

(1) Office coordination

(1) SCAN

(1) IFPS/WWA

3. How do you envision that these current products and services could be improved to better meet your needs?

(7) Real-time access to all available satellite (AMSU, MODIS, others), radar level II data, sounding data, and other remote sensing data

(4) Aggressive training, seminars, workshops, and utilizing the "x" shifts to improve forecaster understanding, WES training

(4) Increased computer processing - hardware upgrades - allowing for higher resolution model data transfer

(4) Integrating next-generation datasets (MODIS, high resolution models, lightning data, etc.) into AWIPS

(2) Operational based lightning detection software - total lightning data

(1) SPoRT should leverage local/mesoscale expertise and ways to build and support it:
- techniques to forecast 0-2 hours
- techniques to forecast 2-24 hours
- defining significant wx, hazardous wx, record wx, high profile events, etc. at anytime through 7,10,15 days

(1) More local data (satellite, mesonet, etc) into mesoscale models

(1) Research, research and research

(1) Models explicitly forecasting convection - eventually

(1) Radar polarization diversity

(1) Increased resolution in new NASA satellites (such as MODIS)

(1) Increased boundary layer vertical temperature and humidity profiles

(1) Deterministic product might be more useful format for keeping EMA and public aware during threatening weather conditions

(1) Cooperation between NWS and non-NWS met groups

(1) More input to model initialization - more real, current data ingest

(1) National boundary analysis - as proposed by SPC

(1) Autonowcaster software available across region

4. Are there certain problems or issues that affect your local planning and operations that you feel are not adequately addressed by NWS products or services? (i.e., excessive lightning deaths, accurate wintertime model QPF, onset of wintertime precip, etc.)

(3) Onset/timing of precip and accurate wintertime model QPF

(3) Lightning forecasts and/or warnings/advisories

(2) Max QPF forecast for heavy precip events

(1) Sky and cloud forecasts for aviation must be improved

(1) Putting lightning data into NWP - the inclusion of total-lightning info is a wide open field and must be pursued

(1) 0-6 hour forecasting of convection (initiation and mode)

(1) Better boundary layer temperature schemes, winds, etc. - especially during winter wx

(1) More enhanced LAPS, MSAS, LAMP guidance during convective events

(1) More model runs

(1) QPF forecasting

(1) Not enough fine scale information or forecasts (fire weather/operations)

(1) Difficulty in doing terminal and enroute aviation forecasts - need more guidance - maybe explicit cloud forecasts

(1) Aviation hazards

(1) Coordination with all regional offices during winter weather (from media)

(1) Pulse type severe storms (more timely warnings)

(1) Need increase network of hourly precipitation gages

(1) Not always as much heads-up to the public and officials as there used to be in NWS products (special weather statements, etc.)

(1) Dense fog/forecasting along waterways

(1) Freezing drizzle

(1) Poor TAF forecasting

(1) Inadequate resolution of surface analysis data in the CWA

(1) Still working to help reduce forecast errors - precip type and amounts

5. What type(s) of new products, services, or data sets would you like to see developed in the future to address your local planning or operations? (i.e., higher resolution NWP or satellite data, lightning warnings, etc.)

(9) Higher resolution and wider range of satellite data (MODIS, TRMM, microwave)

(8) High resolution model data (local modeling), non-hydrostatic models

(4) Lightning warnings and/or forecasts/advisories

(3) Level II radar from many radars in region

(2) Graphical HWO - out to 48 hours

(1) National implementation of products like the significant weather alert short term forecast product

(1) A product that tells EMA/Law Enforcement that weather has developed, currently is below severe thresholds, but still can be hazard to the public

(1) Threat assessment based tornado warnings - different levels (level 1 - level 2) for expected intensity or threat threshold

(1) Highly accurate, high resolution NWP data - non-hydrostatic runs at 2 or 3 km

(1) Local/regional smart initialization and smart tools for GFE to enhance graphical/digital forecasts

(1) Increase network of hourly precipitation gauges

(1) Hot-start approach to NWP model initializations

(1) Updraft max flux derived product

(1) Broadcast live on NWR during severe weather

(1) Recreational forecast

(1) Forecasting training

(1) Lightning specific statements in a SPS (where lightning category is in the header)

(1) Integrated graphical products tailored to the aviation community (cloud heights, tops, freezing level)

(1) Additional products or services that speak to the protection of life and property

(1) Would like to see a new facility take day to day forecasts and leverage them for economic interests (DOC)

6. How do you (or can you) see the research and academia community better helping to address these issues?

(1) Utilize lighting technology and research to provide NWS better ways to warn the public of dangers of lightning

(1) Meet users in aviation community to help us improve aviation forecasts

(1) Providing research funds and resources not available in NWS budget

(1) Porting cutting edge methodology to field forecasters

(1) Providing verification and track history to new data sets

(1) Assisting in local office training/seminars

(1) Participating in local research/studies/climatology - they have man power to assist

(1) Push for more real-time observations into the models

(1) Research into non-supercell tornadogenesis

(1) Research and academia need to understand end user requirements for information

(1) Government and private agencies should collaborate to address issues

(1) Ensure a link between operational planning and research community

(1) Have a funded process to allow researchers to work on operational priorities - initiatives from multi-agencies

(1) Create a test bed process to bring research to operations

(1) Ensure operational buy-in and commitment for successful test-bed developments

(1) Getting research findings (that can help the operational community), especially dealing with severe convection, into their hands ASAP.

(1) Integration on new data sets into AWIPS

(1) Direct and open communications between operational forecasters and the research/academia community

(1) Outline of conferences and meetings between the NWS and research community to foster and continue lines of communication

(1) Listening to the input from the operational forecasters (like this workshop)

(1) Understanding that data must be available as consistently as possible, and as near real-time as possible

(1) Research/academia need to work with operational people to discern their needs and develop plans accordingly (as is being done with SPoRT)

(1) They must operate in the operation context - science/technology transfer must be end to end

(1) Must facilitate the WFO to continually and naturally improve their mesoscale expertise

7. How are you currently introduced or exposed to new products, services, or datasets? (Examples...publications, conferences, memos, "word of mouth")

(14) Conferences - need more of the these

(8) Reading research publications/literature

(9) Word of mouth discussions

(7) Memorandums - from SOOs, national centers

(4) Web search - WX-TALK discussions

(4) Local training - SOO, seminars etc.

(2) Resident training - NWSTC, FSL, etc.

(1) Professional relationships - AMU/KSC, 45th WS, SMG, NWS/MLB participate in an annual Technical Interchange Meeting (self initiated)

(1) Conference publications

(1) Teletraining

(1) Need better NWS regional communications on the new technologies available

8. From your perspective, how could you be better introduced to those products, services or data sets?
(4) Continue conferences and face-to-face training and familiarization

(3) Aggressive training from the SOO - must train more effectively - training on model physics and interpretation

(2) Keep a master web site registry for sites that have the information with links

(2) Training web pages created by folks who really understand the new data sets and technology - administered by a group like NCEP or NASA

(2) An email listserver like WX-TALK, but with a more defined focus

(1) Real-time collaboration

(1) Diversity of insights (not just one office or a few offices)

(1) Technical Interchange Meetings

(1) More regional SOO meetings

(1) More interaction with research and academia community

(1) More training opportunities like NWSTC resident courses.

(1) Provide local SOOs with latest technology advances and information

(1) Provide local focal points with best training possible, so they can relay training to other forecasters.

(1) New technology advances and research should be shared with forecasters

(1) Sending an operation forecaster TDY to work with the researches and developers

9. As end users, would like you like to see more detailed verification information? If so, what type? (Ex. verification by convective regime, storm type - MCS, supercell, etc., model versus model, forecast vs model, etc.)

(4) Model versus model verification

(3) Would like to see verification and forecast reviews by weather regime (man power and data limitations would be issues)

(4) Verification by convective regimes

(2) Enhanced verification in near real-time on AWIPS workstations
HPC versus model verification

(2) Current verification information is sufficient

(2) More "user friendly" aviation verification program - including consistency checks

(2) With the advent of NDFD, would like to see the verification of sensible weather elements (forecast and model derived) posted to the web - learn situational biases

(2) Storm type versus model progs

(2) Would like to see verifications stats on temps, precip, forecaster versus the model

(2) Forecast/warning biases and verification - for example, do we do better with LEWP events than multicell events

(1) Bias and limitation study of the models

(1) Ensemble forecasts stats

(1) Verification should assess the "value" of the actual forecast - our gridded products should look like the high resolution analyses

(1) Determining "value-added" of automated and human-generated input to forecasts

10. Satellite data is generally underutilized. What factor(s) do you feel limit its utility (data access, scientific understanding, training limitations). From what you hear about available satellite date from SpoRT, what do you see as most useful?

Reasons for being underutilized:

(9) Data access - not integrated into AWIPS - field offices left out of the loop

(8) Scientific and training limitations

(7) Timeliness of data

(2) General lack of "off the shelf" product - need to convert data into user-level format (products)

(1) Lack of good satellite enhancement curves, especially for fog and stratus

What do you see as most useful?

(3) MODIS - 1 km - detecting boundaries and convection initiation

(2) Satellite data to support hourly radar estimates of precipitation

(1) High resolution soundings - especially good vertical resolution

11. What one element or issue does the NWS need to address in order to increase warning lead times and decrease false alarm ratios? (i.e. additional WES training, science training, better spotter network)

(6) Mesoscale training - like flight event simulator for pilots, WES training

(3) Better spotter network - be active in pursuing ground truth

(2) Additional science training including local seminars and training sessions

(2) Additional data - wind profilers, more real-time surface observations

(1) High resolution (spatial/temporal) mesoscale model data

(1) Tornadogenesis research leading to much higher density network of radars nationwide

(1) Boundary layer research.

(1) Better access to upper air data for media

(1) To advance warning lead times, next generation algorithms that utilize environmental information (shears, clouds, stability, boundaries, vorticity, etc.) must be developed. The role of data assimilation and NWP at the local level will be essential.

(1) The NWS needs a sociological project to find the optimum lead time and the actual role of FAR in reducing public response before investing tremendous resources on these issues.

(1) The NWS needs a thorough warning verification study of the SE - concentrate on situational warning verification - by meteorology/storm type and magnitude

 

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Technical Contact: Dr. William M. Lapenta (bill.lapenta@nasa.gov)

Responsible Official: Dr. James L. Smoot (James.L.Smoot@nasa.gov)

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