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Archive for the ‘AWIPS II’ Category

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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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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SPoRT’s AWIPS II team continues to develop plug-ins, not just for unique NASA data sets, but also for GOES-R Proving Ground activities.  The latest development involves the Convective Initiation GOES-R proxy product under development by our neighbors with the University of Alabama in Huntsville.  These data will be provided to the Hazardous Weather Testbed Experimental Warning Program in May and June, and transitioned to local WFO partners in the future.

UAH Convective Initiation in AWIPS II

UAH Convective Initiation in AWIPS II

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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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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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SPoRT is working towards ingesting and displaying satellite-based fire and smoke detections in AWIPS II.  The visible image below shows a smoke plume in southeastern Idaho, captured by GOES West at 2345Z on July 13, 2010.  The orange dots represent fire/hotspot detections while the polygons represent smoke detections (red=”heavy” smoke, yellow=”medium” smoke, and green=”light” smoke).

Fire and Smoke Detections in AWIPS II

Fire and Smoke Detections in AWIPS II

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SPoRT "hybrid" GOES / MODIS visible image and NESDIS Hazardous Mapping System fire product displayed in AWIPS II.

Working closely with Jason Burks, the Information Technology Officer at the Huntsville NWS forecast office, SPoRT team members have developed several unique software components (plug-ins) to display NASA satellite data in the next generation display system, AWIPS II, being developed by Raytheon for the NWS. This software not only preserves data integrity and allows for an accurate display of NASA data in AWIPS II but also facilitates the development of advanced visualization displays, and muli-data set multi-band composite display tools. AWIPS II is schedule for operational deployment by the NWS in 2011.

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A MODIS Hybrid

The SPoRT program is one of many organizations participating in the GOES-R Proving Ground to help prepare the meteorological community for the capabilities that will be available aboard GOES-R when it launches in 2015. Part of this work is to look for current observation capabilities that mirror what GOES-R will have. The MODIS instruments aboard the Aqua and Terra satellites have similar resolution and spectral channels to the planned ABI (Advanced Baseline Imager) instrument. Therefore, it is an excellent demonstration of future capabilities. However, the MODIS instruments are aboard polar orbiting satellites, meaning that unlike conventional geostationary GOES imagery swaths, data are available only when MODIS passes overhead. This creates poor temporal resolution that is unsuitable for many forecasters who prefer the ability to loop satellite data.

To address this issue in SPoRT’s Proving Ground activities, SPoRT personnel took existing GOES data, available at 30 minute intervals, and embedded the higher resolution MODIS swaths into the GOES data whenever MODIS was available. The result, shown in the figure below, creates a product available at a high enough temporal resolution to allow for animated loops and allows forecasters better access to MODIS data as it is no longer presented as an isolated snapshot. With the initial demonstration, SPoRT saw that this process could be applied to the current MODIS product suite now to enhance the utility of the MODIS data for all of our partners and not just with the Proving Ground activities. Efforts are now underway to provide this hybrid product in AWIPS to our National Weather Service partners as well as within SPoRT’s AWIPS II demonstration work.

This image, produced by Matt Smith and Kevin Fuell from 20 September, shows the 11 micron infrared hybrid product. The MODIS and GOES imagery are separated by the blue, dashed line. The bottom and right sides show the lower resolution (4 km) GOES IR image alongside the high resolution (1 km) MODIS IR data over the Four Corners region of the southwest United States.

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Currently, selected National Weather Service Offices can get MODIS data into their AWIPS work stations. These unique data, provided by SPoRT to our partners have a number of applications, ranging from fog detection, snow cover, and sea surface temperatures. An additional feature relevant to the current fire in California is the ability to identify fire hotspots using 3.9 micron imagery as well as identifying smoke plumes through the natural color composite.

Below is an image showcasing SPoRT’s efforts to continue to support the National Weather Service as they transition to the next generation of display software, AWIPS II. Here is a combined image of a MODIS natural color composite where the smoke can be clearly seen in grey. In addition are two shapefiles provided by the United States Geological Survey website that show the burn area of the fire (orange) and the current fire hot spots (red) for the last 24 hours. These shapefiles are now viewable in AWIPS II.

One of SPoRT’s primary goals is to make these data available in AWIPS, and now AWIPS II, so that forecasters can overlay additional meteorological information to improve both situational awareness and improved forecasts. In this example, instead of having to consult both a web page and the AWIPS II station, a forecaster can synthesize these data in one combined image. Additionally, a forecaster could then overlay current surface observations, including winds to help provide detailed information to emergency managers and fire fighters in the field.

This image shows the 1 km MODIS natural color composite image that is effective in detecting smoke plumes. Overlaid with this are two fire shapefiles from the USGS viewable in AWIPS II. These files provide the burn area (orange outline) and current fire hot spots (red) for the past 24 hours.

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