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Archive for the ‘Lightning Mapping Array’ Category

So, when are total lightning data useful?  Well, there are many such cases, and we’ve described many of those in this blog…including my post yesterday.  But, they’re also particularly useful when the National Lightning Detection Network (NLDN) data drop out of AWIPS.  That is what happened earlier this evening, in an apparent system-wide outage that lasted for a couple of hours.  When you’re in operations, data redundancies are great to have, particularly for these types of cases.

At about 2247 UTC, a thunderstorm was moving across northern portions of Morgan County, AL, and was approaching southern Madison County (image 1).  Initially, the thunderstorm was expected to remain to the south and east of the Huntsville International Airport, for which we provide Airport Weather Warnings.

Image 1.  KHTX radar reflectivity (dBZ), overlaid with North Alabama LMA.

Image 1. KHTX radar reflectivity (dBZ, 2247 UTC), overlaid with North Alabama LMA source densities (2246 UTC).  The location of the Huntsville airport (KHSV) and a 5-mile radius ring (blue circle) from the KHSV location are also included.

However, by 2252 UTC, a small shower had developed along outflow to the northwest of the thunderstorm, and had just become electrically active (image 2).  Notice the (albeit small) LMA source density values just to the southwest of the airport radius ring at this time.  Of course, due to the NLDN data outage, we had no idea if the thunderstorm was producing CG strikes, but the total lightning data was sufficient for letting us know that the cell had become electrically active.

Image 2. KHTX radar reflectivity (dBZ, ), overlaid with North Alabama LMA source densities (.  The location of the Huntsville airport (KHSV) and a 5-mile radius ring (blue circle) from the KHSV ASOS location are also included.

Image 2. KHTX radar reflectivity (dBZ, 2252 UTC ), overlaid with North Alabama LMA source densities (2252 UTC). The location of the Huntsville airport (KHSV) and a 5-mile radius ring (blue circle) from the KHSV location are also included.

Armed with this new information, the forecaster issued an Airport Weather Warning for the Huntsville Airport at 2252 UTC.  The next image (image 30) shows that the LMA indicated lightning (at least intra-cloud) within the 5-mile radius ring at 2314 UTC (image 3).

Image 3. KHTX radar reflectivity (dBZ), overlaid with North Alabama LMA.  The location of the Huntsville airport (KHSV) and a 5-mile radius ring (blue circle) from the KHSV ASOS location can also be seen.

Image 3. KHTX radar reflectivity (dBZ, 2312 UTC), overlaid with North Alabama LMA source densities (2314 UTC). The location of the Huntsville airport (KHSV) and a 5-mile radius ring (blue circle) from the KHSV location are also included.

Knowing that intra-cloud flashes often precede CG strikes, and that thunderstorms in this type of environment will often eventually produce CG flashes, the total lightning data are invaluable, and can help to buy extra minutes of lead time in a rapidly evolving situation.  In this case however, we also see the added benefit when other data are simply unavailable.

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The North Alabama Lightning Mapping Array (NALMA) data have been in and out of operations at WFO Huntsville, AL for a while now, due mainly to AWIPS II testing and related issues.   After being unavailable in operations for about a week, we were able to get the data back into operations on the afternoon of Thursday, June 13th…and it couldn’t have happened at a better time.  I was working the Aviation Forecast desk and was assisting in monitoring radar for severe weather operations and the data were of great benefit once again.  The first image below shows a small cluster of thunderstorm cells moving southward from Tennessee across the border into Lauderdale County, Alabama…the very northwest corner of the state, at about 2000 UTC, although the various data in the image range from 1955 to 2000 UTC.  NALMA data overlay the radar data and were being used to monitor for lightning activity in the cells.  Notice that at this time, NALMA data indicated the cell near St. Joseph, Tennessee was electrically active (white-pinkish shading).  Also, notice that the cell to the west and just north of Threet, Alabama was not electrically active yet, according to both the NALMA and NLDN data.

Image 1.  KHTX radar data at 1955Z June 13, 2013...together with 15-min and 5-min NLDN data, NALMA source densities, and METAR observations valid at ~2000Z.

Image 1. KHTX radar data at 1955 UTC June 13, 2013…together with 15-min (2000 UTC) and 5-min (1955 UTC) NLDN data, NALMA source densities (1956 UTC), and METAR observations (~2000 UTC).

A little later, at about 2005 UTC, the cell had moved into Lauderdale County, now a few miles east of the town of Threet, and the NALMA indicated a sudden burst of electrical activity.  At this time, NLDN were not indicating any cloud-to-ground (CG) strikes.  Perhaps more importantly, this developing thunderstorm was moving towards the Muscle Shoals airport, which is located at the observation site (KMSL) in the northeastern section of Colbert County, directly to the south.

Image 2.

Image 2.  KHTX radar data at 2004 UTC June 13, 2013…together with 15-min (2000 UTC) and 5-min (2005 UTC) NLDN data, NALMA source densities (2004 UTC), and METAR observations (~2000 UTC).

The next image (Image 3), valid at about 2015 UTC shows the subsequent CG strikes in the NLDN data (horizontal blue lines).  Given the albeit small, but steady lightning production in this storm and increasing confidence that lightning was possible within 5 miles of the KMSL airport, a lightning warning was issued at 2015 UTC.

KHTX radar data at 1955 UTC June 13, 2013...together with 15-min and 5-min NLDN data, NALMA source densities, and METAR observations valid at ~2000 UTC.

Image 3.  KHTX radar data at 2014 UTC June 13, 2013…together with 15-min and 5-min NLDN data (2015 UTC), NALMA source densities (2014 UTC), and METAR observations (~2000 UTC).

The next image shows a CG strike within 5 miles of the KMSL airport at 2025 UTC, as noted by the small blue horizontal line north of KMSL and east of Florence.

KHTX radar data at 1955 UTC June 13, 2013...together with 15-min and 5-min NLDN data, NALMA source densities, and METAR observations valid at ~2000 UTC.

Image 4.  KHTX radar data at 2024 UTC June 13, 2013…together with 5-min NLDN data (2025 UTC), and METAR observations (~2000 UTC).

In this case, the LMA data alerted me that the cluster of cells had become electrically active, allowing me to shift my focus on when they might enter a 5-mile radius of the KMSL airport.   With a continuation of electrical activity as observed in the LMA data, my confidence was raised sufficiently, and the warning was issued for the airport.  The LMA data can be a great tool in situations like this, letting a forecaster know when a storm is electrically active and helping him/her to shift situational awareness appropriately, especially when CGs may not be initially present.  The LMA proved to be very beneficial in this case, allowing for some extra lead time with the airport weather warning for this cell.

Interestingly, the cell that entered eastern Lauderdale County was producing intra-cloud lightning throughout this time, but no CGs were reported by the NLDN.  Nevetheless, a forecaster would want some confirmation that a thunderstorm is in progress, particularly if he/she was involved in real-time weather watches for outdoor events, or for the possibility of lighting that could affect airport operations, as in the example above.

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This particular blog post focuses on total lightning observations from the Moore, Oklahoma tornado.  SPoRT is participating in the annual NOAA Hazardous Weather Testbed Spring Experiment in Norman, Oklahoma.  The Spring Experiment is demonstrating new NOAA and NASA experimental capabilities as part of the annual Experimental Warning Program.  One NASA capability being demonstrated is total lightning associated with severe / tornado weather events.  The data used were NOT from NASA, but from the Oklahoma Lightning Mapping Array operated by the University of Oklahoma.  NASA SPoRT has access to these data through a collaboration to support the Hazardous Weather Testbed and demonstrates SPoRT’s software plug-in to display these data in the National Weather Service’s AWIPS II system.  Also, this collaboration is demonstrating the SPoRT / MDL total lightning tracking tool.  This particular post discusses the connection of total lightning and tornado occurrence consistent with the “lightning jump” concept developed by Christopher Schultz (NASA Coop) and the lightning team here at the Earth Science Office.  These experimental data were not available to the Norman, Oklahoma forecast office and this post is intended as a discussion of how these data may have been used.

Figure 1 takes place at 1910 UTC and shows a 4-panel display from AWIPS II.  The lower two panels show radar observations of storm relative velocity (left) and reflectivity (right).  The top panels show two total lightning products.  The first is the source density product (left), which is used by several SPoRT partners in operations.  The pseudo-geostationary lightning mapper (PGLM – right) is the demonstration product SPoRT is providing to the Hazardous Weather Testbed this year to demonstrate what the future Geostationary Lightning Mapper observations may look like.  The PGLM data are derived from the ground-based lightning mapping array data.  In this case it is from the Oklahoma network provided to SPoRT with this collaboration.  Lastly, please note the two pop-up windows.  These display the output from the SPoRT / MDL total lightning tracking tool, which is a time series of the source densities (left) and PGLM (right) observations, respectively.  Newcastle and Moore, Oklahoma are circled for reference.

Figure 1: AWIPS II four panel display from 1910 UTC that shows the total lightning source density (upper left), and pseudo geostationary lightning mapper flash extent density (PGLM - upper right), along with the radar storm relative velocity (lower left), and radar reflectivity (lower right).  The pop-up windows show the total lightning tracking tool's time series plot for the source densities (left) and PGLM flash extent density (right), respectively.

Figure 1: AWIPS II four panel display from 1910 UTC that shows the total lightning source density (upper left), and pseudo geostationary lightning mapper flash extent density (PGLM – upper right), along with the radar storm relative velocity (lower left), and radar reflectivity (lower right). The pop-up windows show the total lightning tracking tool’s time series plot for the source densities (left) and PGLM flash extent density (right), respectively.

Both the source density and PGLM demonstrate a lightning jump around 1910 UTC, as shown by the spike in observations in the time series (~800 sources and 46 flashes, respectively).  Christopher Schultz’s official lighting jump algorithm supports this visual inspection as it too indicated a lightning jump.  Interestingly, the first severe thunderstorm warning was issued at 1912 UTC and based on radar observations at 1908 UTC.  Normally, we train that lightning jumps will precede severe weather, so why is the jump coincident with the initial severe thunderstorm warning?  The answer is that the environment in central Oklahoma was extremely favorable for tornadic supercells.  As such, as storms showed any signs of growth a warning was issued.  This is similar to how the Huntsville forecast office operated during the April 27, 2011 outbreak as there were so many violent storms across the region.  Given the environment, the total lightning would play a reinforcing role as the lightning jump at 1910 UTC indicates that this storm is rapidly strengthening and becomes rooted in the boundary layer.  One feature that the total lightning observations provide is a very rapid update cycle.  The total lightning data update every minute, versus the radar updating every 4-6 minutes.  This means that the total lightning observations are providing continuous updates into how the storm is evolving, allowing the forecaster to evaluate the storm’s growth in between radar volume scans.

We will next step forward to 1928 UTC, shown in Figure 2.

This is the same as Figure 1, but at 1928 UTC.

Figure 2: This is the same as Figure 1, but at 1928 UTC.

The total lightning observations begin to undergo a second, reinforcing lightning jump at 1928 UTC.  The time series plot is less obvious than from 1910 UTC, particularly with the source densities, but the lightning jump algorithm did flag a reinforcing jump at this time.  At this point, this is 12 minutes before the official tornado warning at 1940 UTC and 28 minutes prior to the reported touchdown time of 1956 UTC, near Newcastle, Oklahoma.  This reinforcing jump emphasizes to the forecaster that something is occurring and that the storm continues to intensify.  Given that a severe thunderstorm warning is already active, this reinforcing jump alerts the forecaster that this storm is unlikely to weaken soon.  The radar reflectivity emphasizes this as well, as it begins to take on a supercell structure and a faint hook echo may be forming (circled in reflectivity frame).

Figure 3 comes at 1940 UTC, shown in Figure 3, when the tornado warning was issued.

This is the same as Figure 1, but at 1940 UTC.

Figure 3: This is the same as Figure 1, but at 1940 UTC.

At this stage, the lightning activity has decreased somewhat after the initial jump at 1910 UTC and the reinforcing jump at 1928 UTC.  Radar continues to show intensification, particularly with the radar velocity couplet clearly evident to the west-southwest of Newcastle, Oklahoma.

We will next step ahead to 1950 UTC, just prior to the touchdown of the tornado at 1956 UTC in Figure 4.

Figure 4: This is the same as Figure 1, but at 1950 UTC.

Figure 4: This is the same as Figure 1, but at 1950 UTC.

At this stage, the tornado warning has been active for 10 minutes and the radar observations show the classic hook echo and velocity couplet signatures.  Both total lightning products show one final increase in activity, but given the high values for the past few minutes, this is not a third lightning jump.  The tornado would touchdown 6 minutes later just outside of Newcastle, Oklahoma before further intensifying and moving through Moore, Oklahoma.

Christopher Schultz provided an additional radar analysis that is a cross section of the radar azimuthal shear (a measure of the storm’s rotation) in time in Figure 5.  Red vertical bars show the occurrence of the original and reinforcing lightning jump at 1910 and 1928 UTC, respectively.  Of note is the large increase in azimuthal shear after each lightning jump prior to the tornado’s touchdown.

Figure 5: A radar azimuthal shear cross section plot from 1900-2300 UTC.  The red bars indicate the times of lightning jumps from the lightning jump algorithm.

Figure 5: A radar azimuthal shear cross section plot from 1900-2300 UTC. The red bars indicate the times of lightning jumps from the lightning jump algorithm.

Once again, I would like to re-iterate that these experimental data were not available to the forecasters in real-time and that this is a post-event analysis.  Overall, the total lightning data behaved as expected, with two lightning jumps preceding the severe weather and the tornado that would later impact Moore, Oklahoma.  Based on the extremely favorable environment for tornadic supercells, the total lightning data would play a supporting role providing insight into the storm’s development for a forecaster, particularly with its one minute update times.  Total lightning typically has more utility in marginal events, but the post-analysis here shows that the underlying concepts of what drives a lightning jump are just as valid here.

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WFO Huntsville is supporting the Panoply Arts Festival in downtown Huntsville this weekend.  This event, which often features over 100,000 attendees, has a history of being disrupted due to bad weather.  WFO Huntsville staff are working both on-site and at the WFO to make sure that everyone remains safe.

WFO staff are using the new LMA plug-in provided by SPoRT to determine whether a lightning threat exists for the festival.  A cell developed in Lawrence County, AL, Saturday afternoon, and using the LMA data, we were able to determine that it contained intracloud lightning.  (The concentric circles indicate the 5 and 10-mile radii from the festival site.)

KHTX radar and North Alabama Lightning Mapping Array source density data, with range rings from downtown Huntsville

KHTX radar and North Alabama Lightning Mapping Array source density data, with range rings from downtown Huntsville

Fortunately, subsequent LMA and radar scans indicated a weakening trend, and it ended up posing no threat to the festival and its attendees.

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LMA data are still up and running in AWIPS II here at the Huntsville WFO and I had the opportunity to view the data yesterday morning as a narrow band of convection moved across the area.  It is nice to have these data back in operations and the utility can be seen in the series of images below.  In these images, the KHTX reflectivity data are overlaid with North Alabama Lightning Mapping Array (NALMA) data and 1-minute NLDN data.  The NALMA data are generally white and pinkish in color and lay atop the radar imagery.  The NLDN data appear as “-” or “+” based on the polarity of the cloud-to-ground flash.  In the first image below, the NALMA data indicated intra-cloud lightning prevalent in Lincoln County, TN, stretching westward into Giles County.  No cloud-to-ground lightning was occurring at the time with this area of convection.

Image 1.  KHTX reflectivity valid ~1413Z April 24, 2013, with North Alabama LMA and NLDN data.

Image 1. KHTX 0.5 degree reflectivity valid ~1413Z April 24, 2013, overlaid with NALMA and 1-minute NLDN data.

A little later at 1435Z, the area of convection had moved downstream to Bedford County, TN.  Intra-cloud lightning activity had been sporadic through the period, but can be seen increasing again with a forming area of deep convection in the eastern portion of the county at 1435Z.  Notice a negative cloud-to-ground strike can be seen in west central portions of Bedford County (just to the upper-left of the “B” in Bedford).

Image 2.

Image 2.  KHTX 0.5 degree reflectivity valid ~1435Z April 24, 2013 overlaid with NALMA and 1-minute NLDN data.

Later, at 1443Z, as the developing area of deep convection enters western Coffee County, a small jump appears in the LMA data, likely correlated with a strengthening updraft.  Still, no cloud-to-ground lightning has occurred with this storm.

Image 3.  KHTX reflectivity valid ~1413Z April 24, 2013, overlain with NALMA and 1-minute NLDN data.

Image 3. KHTX 0.5 degree reflectivity valid ~1443Z April 24, 2013, overlaid with NALMA and 1-minute NLDN data.

Finally, at 1449Z, the NLDN data indicate a negative cloud-to-ground strike in northwestern Coffee County, as seen in the image below (the negative sign may be a little difficult to see, but is located in the NW part of the county on the western fringe of the area of high reflectivity).

Image 4.

Image 4.  KHTX 0.5 degree reflectivity valid ~1449Z April 24, 2013 overlaid with NALMA and 1-minute NLDN data

In this case, the NALMA data showed that electrical activity was occurring in the intra-cloud region and that a thunderstorm was in progress well before (~35 minutes) the NLDN data alone would have indicated.   These data can be invaluable during real-time weather watches for our Emergency Manager partners and for the general public during outdoor events and can also alert a forecaster that a thunderstorm is indeed in progress when there are no cloud-to-ground strikes observed by the NLDN data alone.

Now, for something a little different…

I also noticed some unusual data that appeared well ahead of the line of convection yesterday in Madison and Limestone Counties.  While intra-cloud lightning could take place well ahead of the deep convection within the cirrus shield, this didn’t seem to be the case yesterday.  After some consultation with Dr. Geoffrey Stano of SPoRT/ENSCO, he believes the NALMA was detecting an aircraft traveling east to west through the region.  He wrote to me that, “the speed of the propogation in successive images and the “line” the sources make all point to an aircraft.”

Here are the images…

Image 5.  KHTX 0.5 degree reflectivity overlaid with unusual NALMA signature over Madison County, AL.

Image 5. KHTX 0.5 degree reflectivity overlaid with unusual NALMA signature over Madison County, AL, valid ~1326Z Apr 24, 2013.

Image 6.  KHTX 0.5 degree reflectivity overlaid with NALMA data valid ~1328Z Apr 24, 2013.

Image 6. KHTX 0.5 degree reflectivity overlaid with unusual NALMA signature over Limestone County, AL valid ~1328Z Apr 24, 2013.

The NALMA page maintained by the lightning group showed the linear streak very well too, as seen in this image provided by Dr. Stano…

Image 7.  NALMA data for the period 1300-1400Z April 24, 2013.  Notice the linear streak highlighted from ENE to WSW.

Image 7. NALMA data for the period 1300-1400Z April 24, 2013. Notice the linear streak highlighted from ENE to WSW.

Dr. Stano described this as a corona discharge that is generated by an aircraft flying through clouds that are electrically active (although not necessarily producing lightning).  The corona discharge can go into very high frequency range (VHF), which can be observed by an LMA.  We’re not sure at this point if we’re going to observe this more in AWIPS II.  Nevertheless, forecasters will have to be made aware of this type of phenomena and not be falsely alarmed by sudden increases or appearences of source data from the NALMA.

Acknowledgement:  I would like to thank Dr. Geoffrey Stano for his consultation with this post.

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WFO Huntsville has been using total lightning information from the North Alabama Lightning Mapping Array since 2003, when it was first incorporated into the AWIPS-1 infrastructure.  Since that time, it has been a part of the office culture.  However, when WFO HUN began testing the AWIPS-2 software last summer, we lost access to the NALMA data.

That changed recently when we installed the first SPoRT-sponsored AWIPS-2 “plug-in” which allows us to ingest and visualize NALMA data once again.  On Monday, it got its first real test as severe weather swept the southeast, and we’re pleased to say that the LMA plug-in passed with flying colors.  (In fact, AWIPS-2 in general had its best performance since testing began.)  The plug-in performed well and forecasters were excited to have access to the total lightning data once again.

Some examples of the data during the event follow.

An AWIPS-2 "Situational Awareness" display including radar mosaic, surface observations, and warning areas.  The color-filled 'blobs' overlaid atop the radar are North Alabama Lightning Mapping Array Source Density data.

An AWIPS-2 “Situational Awareness” display including radar mosaic, surface observations, and warning areas. The color-filled ‘blobs’ overlaid atop the radar are North Alabama Lightning Mapping Array Source Density data.

A 4-Panel display of KHTX radar reflectivity (top-left), velocity (top-right), correllation coefficient (bottom-right), and NALMA source density (bottom-left) at 2042 UTC, right around the time tornado warnings were issued for portions of northeast Alabama.

A 4-Panel display of KHTX radar reflectivity (top-left), velocity (top-right), correllation coefficient (bottom-right), and NALMA source density (bottom-left) at 2042 UTC, right around the time tornado warnings were issued for portions of northeast Alabama.

Several pockets of significant wind damage were reported, and storm survey crews will be out today surveying possible tornadoes.  We did not notice any lightning jumps prior to the most significant damage, but forecasters did make note of a few jumps in other cases.

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The use of LMA data during severe weather operations at the Huntsville, AL NWS office has a rather long history.  Beginning in 2003, these data have been available to HUN forecasters in some form.  Very recently, on the morning of March 2nd, 2012, these data again provided utility in helping to assess and anticipate the potential for severe weather.  The image below (Figure 1) is a four panel AWIPS display of LMA data at 1442Z (upper left) and other various radar data from HTX (Hytop, AL) beginning at 1441Z March 2nd, 2012, which preceded the initial severe thunderstorm warning in our forecast area that day by about 10 minutes.  For your reference, the panels of radar data are as follows…

upper right: (0.5 degree Reflectivity dBZ)

lower right: (0.5 degree Velocity)

lower left: (0.5 degree Correlation Coefficient)

Figure 1.

Figure 2.

Notice the LMA data (upper left panel) at the start of the event, with source density values generally around 100 or less at 1442Z.  The associated storm and area of interest was in northern portions of Lawrence County and SW portions of Limestone County.  Reflectivity and velocity data at this time show little storm organization.  The next image (Figure 2) is a four panel a couple of mintues later (valid 1444Z for LMA and 1446Z for radar data).  Here, the beginning stages of a “spike” in LMA can be seen with source density values up to about 200 at this time.  The next image (Figure 3), however, really shows the spike in source density values, up to about 500, at 1446Z.  Notice here that there was no change in radar data at the 0.5 degree level because in volume coverage pattern (VCP) 11,

Figure 3.

it takes about 5-6 minutes for data between corresponding angles.  This is one way in which the LMA data can come in handy.  The LMA data are updated about every two minutes, importantly, filling in the gap between successive corresponding radar scans.  While the LMA data don’t directly detect severe weather signals, they do indirectly indicate whether or not a storm is strengthening (weakening) due to increases (decreases) in updraft strength.  During a situation when a warning forecaster is not ready to issue a severe thunderstorm or tornado warning, these data can help to indicate several mintues in advance that a storm is about to ramp up intensity.  This can be especially useful in situations when the warning forecaster is about to the point of being ”on the fence” with regards to the warning situation.  Such was the case on the morning of Friday, March 2nd.  Corresponding radar reflectivity data in the 3.4 degree slice (elevation in northern Lawrence and SW Limesone Counties) was used as one tool to assess the hail threat that morning.  Figure 4 below shows the rapid increase in reflectivity values at this level (~20-25 kft) over the area of interest (click the image to bring up the loop…you may have to click it twice).  However, dBZ values remained below 55 dBZ.

Figure 4.

As the warning operator that morning, although overall storm structure didn’t necessarily indicate large hail or damaging winds, and we had no reports to that point, the LMA data indicated that this storm was on the verge of rapidly increasing in intensity. Due to the significant spike in LMA source density values, and with me nearly “riding the fence” with regards to a warning, I went ahead and issued the first severe thunderstorm warning for our area that morning at 1451Z (851 am CST).  At 1505Z (9:05 am CST) we received the first report of quarter size (1 inch) hail in the town of Ripley in Limestone County.  A little further downstream, another report was received from law enforcement at 1512Z (9:12 am CST) of golf ball size hail in the Athens community.

Of course, this was the storm that produced the first tornado in the Canebrake community just south of Athens that morning.  Overall, the LMA data did show the very typical rapid increase and then decrease in values with the storm evolution, before the tornado.  This aspect of the LMA source density data may be followed up in another post.  But, I just wanted to show for now the usefulness of these data in warning situations.  This was a particularly good case, in which the LMA data helped the warning forecaster to realize that a storm of interest was likely to undergo rapid strengthening, and that a warning was necessary.  Figure 5 below is a loop of the storm of the first storm of interest that morning (click on the image to see the loop – you may have to click twice).

Figure 5.

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SPoRT’s AWIPS II team continues to make progress on preparing SPoRT data for the next generation of NWS decision support software.  This week, the team successfully ingested and viewed total lightning information from the North Alabama Lightning Mapping Array, overlaid with radar data from the Hytop, Alabama doppler radar.

NALMA and Hytop, AL Radar data in AWIPS II, from 10/24/10

NALMA and Hytop, AL Radar data in AWIPS II, from 10/24/10

The plug-in has already been used to view data from other total lightning networks, but there is still more work to be done.  The team’s next goals involve viewing high-resolution satellite imagery from MODIS, as well as multiple levels of total lightning data.

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There is always excitement in Huntsville when there is a chance for a good snow event.  Already, at this point 2 inches of snow have fallen and the event has just started.  However, we can always make things a little more exciting with thundersnow!  Around 0434 UTC, a single flash of lightning was detected by the NALMA and supported by all of the Facebook and Twitter posts by the weather folks here in town.  The two images show the overall radar reflectivity observations (in clear air mode) at the time of the flash (Figure 1) and the raw NALMA observations as seen on the SPoRT web page (Figure 2) .  The flash likely originated in the cluster of high source densities over Huntsville proper and then extended to our southwest traveling several tens of kilometers.  Needless to say, this will be an interesting event to revisit and analyze.

 

Figure 1: Huntsville radar reflectivity (from Hytop) at the time of the lightning flash during the thundersnow event on 10 January 2011.

Figure 2: Lightning flash observed by NALMA during the thundersnow event at 0434 UTC on 10 January 2011.

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SPoRT is collaborating with the Huntsville National Weather Service Office to develop software plugins to visualize data in AWIPS II.  The most recent success is displaying North Alabama Lightning Mapping Array (NALMA) total lightning observations, as shown below.

NALMA Source Density in AWIPS II CAVE Display

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