Title: The NASA
1The NASA Short-term Prediction Research and
Transition (SPoRT) Center Huntsville WFO
Assessment of NASA Products Chris Darden
2Brief Review of FY 05 Accomplishments
- WRF Assessment Results (from WFO HUN forecaster
assessment period) - Completed last fall and shared with forecast
staff - Results were deemed useful by forecasters in
decision making process - Enhanced Mesoscale Model Training
- Addl WRF Seminar held October 12, 2005
- Expansion of Modeling Efforts
- AWIPS ingest started at WFO MOB
- Also received interest from WFO MRX
3Brief Review of FY 05 Accomplishments
- Additional LMA Case Studies Gathered
- Identified approx. 9 cases to date that are of
particular interest - There are many more cases where LMA data have
been used. These cases represent a cross-section
of various storm types, thermodynamic, and
kinematic regimes - 22 LMA Surveys were completed in FY 05
- Significant jump in surveys from the previous
year - In many cases, the forecasters found the LMA data
provided addl confidence in the Warning Decision
Process - Either potentially increasing lead times or
decreasing FARs - A couple of examples will be shown later
4Brief Review of FY 05 Accomplishments
- A few comments from the LMA Surveys and general
correspondence/emails - When I did look at the LMA data before issuing a
warning, I did feel more confident in issuing the
warning. I like the LMA data! If this data IS
also incorporated into SCAN probably more
forecasters here will routinely use this data.
Henry S. - OHX - LMA helped with "confidence" about warnings.
- This (LMA) allowed us additional lead time
(10-15 minutes) to issue/update Significant
Weather Alerts for the affected county. - All three warnings were verified with no missed
events that we know of. The LMA data was utilized
throughout the event by the warning forecaster on
duty. - In particular, there were cells in Shelby and
Jefferson counties that showed nice jumps in
advance of severe wx occurrences.
5Brief Review of FY 05 Accomplishments
- Collaborative efforts have been well represented
at professional conferences and workshops - Specifically, NWS Presentations Include
- Four papers/presentations at 2005 AMS
- Four more planned for 2006 AMS
- Oral Presentation at Spring 05 SECAPS
- Southern Thunder, DFW
- Formal Visitview Teletraining materials were
prepared and presented to NWS SR forecasters
(Feb. 05) on Total Lightning Applications - Material also part of the office severe weather
training plan
6Brief Review of FY 05 Accomplishments
- Expansion of NASA satellite products at NWS field
offices - Delivery of MODIS and AMSR-E datasets into WFO
MFL, MOB, and SMG - Feedback from coastal offices quite positive
(more about that later) - Continued utilization of high spatial resolution
NASA satellite data in support of WFO operations - Forecasters have noted that the increased spatial
resolution of the MODIS datasets has allowed for
enhanced customer support/forecasts for mesoscale
phenomenon such as fires, valley fog, etc. - Will show a few examples
7Brief Review of FY 05 Accomplishments
- Inclusion of Convective Initiation Products into
AWIPS - Initial training session completed Spring 05
- Dry run of data ingest during the summer with
addl tweaking - Plans for operational rollout for the Spring
06 convective season - WFO MRX also interested in CI Products
- Access to dual-polarimetric ARMOR data (since
Spring 05) has provided addl avenues for
collaboration and research activities.
8NowLets Share a Few Success Stories
- Since early May, WFO MFL has been receiving MODIS
and AMSR-E products - This brings the total number of WFOs receiving
some form of NASA developed or derived products
to 7. - During a recent event of very high impact
(Hurricane Wilma), these datasets were quite
helpful in the decision making process for the
local forecast office. - However, even during more benign regimes, these
datasets are quite useful in the data sparse
regions adjacent to the Gulf of Mexico.
9- in high wind events tipping buckets dont
always give you the true sense of how much is
really raining. - MODIS data we have found it to be very useful
in giving us a better sense of how extensive the
cloud cover is at night, detecting low level
clouds which is critical for aviation forecasting
operationsdetecting cloud streets and subtle
convergent lines during day time with the high
res visible Pablo Santos, SOO
10Here's an example from yesterday (the 7th) of
how we can use the 88D and 3.9u IR imagery to
sense fires during the fire weather season. Andy
Kula, WFO HUN Note The IR temp was only 27C from
GOES (not shown) but showed up much better from
MODIS.
Location of Fire
11- High resolution data quite useful to assess
existing soil moisture - MODIS SSTs provide much more detailed information
for coastal office - Coastal offices can utilize this detailed
information for ingest into GFE for water temps
and other smart tools and procedures
12Local Modeling
- Why is it important?
- Provides our forecasters with much needed
experience with the WRF model - Provides an alternative mesoscale solution to the
NAM (as potential input into GFE) - NCEP WRF currently only run once per day
- Lack of continuity not desirable
- Forecasters not able to get a handle on how the
model is doing - Not available in AWIPS
1300 UTC August 4, 2005
24h forecast 3h accumulated precipitation
NAM
WRF
Composite radar reflectivity
1412 UTC August 25, 2005
Composite radar reflectivity
15Lightning Initiatives
- Utilization of LMA Source Density Fields for
Warning Decision Making - Utilization of LMA for first strike forecasting
- Development of Lightning Threat Index for
Emergency Managers - Correlate LMA fields with CI work to improve
convective nowcasting and TAFs
16Lightning Case Study 1
- October 18, 2004
- Rotating storm near edges of radar coverage
- LMA provided forecaster extra confidence in
tornado warning
17Radar Coverage
KHTX
KGWX
o
0.5 Elevation Heights FROM KHTX 10889 ft MSL FROM
KGWX 7559 ft MSL
18October 18, 2004 Case
0.5 º SRM
1.5 º SRM
Developing Mesocyclone/Hook
0.5 º Refl
LMA Source Density
Minimal Electrical Activity
2234 UTC
19October 18, 2004 Case
0.5 º SRM
1.5 º SRM
Persistent Couplet
0.5 º Refl
LMA Source Density
Lightning Jump
2240 UTC
20October 18, 2004 Case
0.5 º SRM
1.5 º SRM
Strengthening Couplet
0.5 º Refl
LMA Source Density
Slight decrease in source count
2244 UTC
21October 18, 2004 Case
0.5 º SRM
1.5 º SRM
Minutes before tornado touchdown
0.5 º Refl
LMA Source Density
Continued decrease in sources
2250 UTC
22Lightning Case Study 2
- November 15, 2005
- Rotating storm again near edges of radar coverage
- LMA provided forecaster extra confidence in
tornado warning
1/2
F0
23November 15, 2005 Case
LMA Source Density
0.5 º SRM
Minimal Electrical Activity
Broad Rotational Couplet
0.9 º Refl
0.5 º Refl
0213 UTC
24November 15, 2005 Case
Some Increase in Rotation and IC Rates
0217 UTC
25November 15, 2005 Case
Lightning Jump and Tightening of Couplet
0221 UTC
26November 15, 2005 Case
Decrease in IC Sources Rates
0226 UTC
27November 15, 2005 Case
Time of Tornado Touchdown
0230 UTC
28Can LMA Data Provide CG Lead Time?
- Some Results from NSSL Experiments
- 20-25 within one min., 80 within 8 mins.
Courtesy Don MacGorman (STEPS Experiment)
29LMA Providing Lead Time for First CGs
Developing Convection
No CGs reported
10-20 LMA sources
30First CGs Reported 5 Minutes Later
31Team up with Convective Initiation
- Dr. Mecikalski at UAH
- Use in conjunction with LMA to highlight threat
areas - Illustrates possible thunderstorm development
next 0-2 hours - Provide enhanced nowcasting information and
expanded support to local partners and customers
32Satellite-Lightning Relationships
- Current Work Develop relationships between IR
TB/TB and lightning source counts/flash densities
toward nowcasting (0-2 hr) future lightning
occurrence - Supported by the NASA New Investigator Program
Award NAG5-12536
North Alabama LMA Lightning Source Counts
2040-2050 UTC
2047 UTC
2147 UTC
2140-2150 UTC
kkoooooooookkkkkkkkkkk
33End Result
- Provide a decision support tool to local
emergency managers - Would include some type of threat index or
probability of lightning - Based on LMA/NLDN output, cell tracking
information, and hopefully 0-3 CI information
34Summary and Future Plans
- WFO Collaborative Goals For The Coming Year.
- Finalize and deliver a Lightning Threat
Index/Product (in some form) to the emergency
management community - Begin utilizing ADAS in operations for analysis
and as initialization/verification input into
GFE. - Another Lightning Teletraining Session
- A recorded version of the Visitview files for
audio playback - Develop a clearer picture of where were going
with the local/mesoscale modeling program - Local modeling is EXTREMELY important to the WFO,
and we want this relationship to continue in some
capacity!
35Summary and Future Plans
- WFO Collaborative Goals For The Coming Year.
- Solidify contact points at WFO BMX and OHX.
- Take FAM trips if necessary/requested.
- Integrate the CI products into our aviation and
short term forecast framework - Ensure adequate staff training and
familiarization - Continue to synthesize dual-polarimetric (ARMOR)
data and other near-storm environment datasets
(MIPS) with NASA products/datasets to enhance
short term forecasts and warnings - NWS SCEP student (and UAH masters student)
currently working on such a cross-cutting thesis - Continue to gather/identify LMA cases of interest
and pursue partnership with FL/NSSL Lightning
Proposal
36Summary and Future Plans
- Continue to Gather LMA Case Studies
- Goal is to have one extensive case study (May 6,
2003) complete and delivered to all participating
offices this year - Need to identify available resources to conduct
addl thorough studies/event reviews for
verification and publication - WFO time limited in this area
- Perhaps a fully funded graduate student?
37Summary and Future Plans
- A Bigger Picture Idea.
- Cant take credit for this one. Our MIC Mike
Coyne came up with the idea originally. - Start a Special Topics course in the UAH ATS
program which would essentially be a formal
volunteer program with the NWS - One of the tasks of the students participating
might be assisting with the heavy lifting
necessary for case studies, reviews,
verification, etc.
38Questions or Comments?