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Working midnight shifts this past weekend, I had the opportunity to take a look at the VIIRS Day-Night Band Imagery for the detection and analysis of fog.  Early Monday morning, the observation at Ft. Payne was indicating fog with 1/2 statute mile visibility.  However, the presence of thin cirrus over parts of the area did not allow for the observation of ground phenomena, including fog, in the region via traditional Shortwave IR imagery (Image 1).  However, low clouds and fog were observed in the VIIRS Day-Night Band imagery since the cirrus were sufficiently translucent in the visible portion of the spectrum (Image 2).

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Image 1. VIIRS 3.9 µm IR image provided by NASA SPoRT, valid 0728 UTC 22 Aug 2016. Fog cannot be observed in the 3.9 um imagery since the cirrus are sufficiently opaque at this wavelength.

DNBReflectance_22Aug2016_0728Z

Image 2. VIIRS Day-Night Band Reflectance provided by NASA SPoRT, valid 0728 UTC 22 August 2016. Fog can be seen in the narrow Paint Rock Valley of western Jackson County (in northeastern Alabama). Despite the observation of fog at Ft. Payne (DeKalb County AL, –located to the SE of Jackson County), fog cannot be readily observed in the imagery, suggesting that the fog was very localized and perhaps shallow.

I could show the standard fog product imagery (11-3.9 µm), but the story is essentially the same as that of the 3.9 µm imagery of course.  The ability to see through thin cirrus is one of the primary advantages offered by the VIIRS Day-Night Band imagery and thus is among its most useful applications, operationally speaking.  These imagery are a part of the JPSS Proving Ground and have been available in AWIPS here at the HUN office for several years now, including other SPoRT collaborative partners.

In this particular case, it was operationally advantageous to see that the extent of the fog was not widespread and was just confined to some of the more fog-prone valley locations, especially the Paint Rock Valley, and may have only been highly localized to Ft. Payne, or even just the Ft Payne airport observation location.  Had the fog been observed through a larger area in Jackson and especially in DeKalb Counties, then a dense fog advisory might have been necessary.

 

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If you are near the Gulf Coast, you’ve probably gotten a little drenched over the last few days. In fact, there have been reports of floods and flash floods as a result of the days of heavy rain developing off the coast and moving inland. This season, SPoRT is assessing a new suite of precipitation products derived from NASA’s GPM mission: GPM passive microwave swath rain rates and IMERG, a morphed rain rate product that is available every 30 minutes and also in accumulations. For those of you who aren’t readily familiar with passive microwave rain rate products, here is a quick key point. Passive microwave really shines where our WSR-88ds are totally in the dark, namely over the oceans. Here are some screen captures of the new precip products on AWIPS.

The accumulated IMERG products are helpful to determine how much rain has fallen in radar- and gauge-void regions. According the IMERG 24-hr accumulation estimates (lower right panel), greater than 4 inches of rain had fallen in the 24hr period ending in August 9 at 12Z just south of Tallahassee along the coast and another 3+ inches had fallen south of Melbourne. Just off the coast, there were pockets of 8 and even 12 inches of total rain fall in 24 hours, according to IMERG.

IMERGRR09Aug16_1200Z

For Aug. 9 at 12Z, IMERG instantaneous rain rates are shown in the upper left, IR in the upper right, IMERG 3-hr accumulation in the lower left, and IMERG 24-hr accumulation in the lower right.

The instantaneous rain rate product, shown in the upper left in the above image, can be compared to IR or other imagery or observations to help highlight areas with the heaviest rain fall. Passive microwave is especially sensitive to precipitation-sized ice, so it points out the locations of strong convective updrafts within the larger system, whereas IR is sensitive to the cloud tops and can miss some important components of storm development that lead to heavy rain. Note on the animation below that although the rain rates corresponde well the IR imagery, as it should, the locations of heaviest rain are not always the locations with the coldest cloud top temperatures.

IR_IMERG_animation

Aug. 9 at 14Z, IMERG rain rates are toggled over IR.  Note that the coldest cloud tops don’t always coincide with the heaviest rain rates estimated by IMERG.

 

 

 

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On April 27, 2011, a severe weather outbreak occurred across the southeastern United States, resulting in 199 tornadoes across the region and over 300 fatalities (NWS 2011 Service Assessment).  Alabama was among the states hardest hit, with 68 tornadoes surveyed by the National Weather Service (NWS) Weather Forecast Offices (WFOs) in Huntsville, Birmingham, and Mobile, Alabama, and over 250 reported fatalities in the state. Huntsville, home to NASA’s Marshall Space Flight Center and the Short-term Prediction Research and Transition (SPoRT) Center, lost power along with most of Madison County after tornadoes severed major utility lines.  The power outage lasted well over a week in some areas. Once power was restored, SPoRT team members were able to provide satellite imagery to our partners in the National Weather Service to help clarify some of the high-intensity tornado damage tracks that occurred throughout the state. SPoRT provided pre- and post-event difference imagery at 250 m spatial resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS) and 15 m false color composites from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). These surveys helped our NWS partners confirm their ground surveys, but also helped to correct the characteristics of several tracks (Molthan et al. 2011). Many of these products remain available through the SPoRT web page (link) and also through the USGS Earth Explorer portal (link).

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The MODIS Band 1 difference image above shows some of the scars left behind by the April 27, 2011 tornado outbreak. Radar snapshots were taken from various times to identify the supercell thunderstorms associated with each track.  Reproduced from Molthan et al. 2011.

Follow-on studies examined the capability of various NASA sensors for detecting and measuring the length and width of scars visible when using the Normalized Difference Vegetation Index, or NDVI, a measurement of vegetation greenness and health commonly derived from multiple satellite imaging platforms.  SPoRT examined NDVI products from MODIS (250 m), Landsat-7 Enhanced Thematic Mapper Plus (ETM+, 30m) and ASTER (15 m) collected in May and June 2011. Possible tornado tracks were identified, mapped, and were then measured to compare against the official NWS damage surveys.  In general, many of the major tornadoes (defined here with maximum intensity EF-3 and greater) were at least partially visible at resolutions of 15-250 m, though weaker tornadoes or those that occurred in complex terrain were more difficult to detect using NDVI and a single snapshot in time. As tornadoes initiated and increased in intensity, or dissipated and decreased in intensity, some of their characteristics became more difficult to detect.  However, some weaker tornadoes were also apparent in Landsat-7 imagery (30 m) in well-vegetated areas.  A summary of the study is available as a publication in the National Weather Association’s Journal of Operational Meteorology. In 2013, SPoRT received support from NASA’s Applied Sciences: Disasters program to partner with the NWS and facilitate the delivery of satellite imagery to their Damage Assessment Toolkit (DAT).  The DAT is used by the NWS to obtain storm survey information while in the field. Satellite imagery from NASA, NOAA, and commercial sensors (acquired in collaboration with USGS and the Hazards Data Distribution System) helps to supplement the survey process by providing an additional perspective of suspected damage areas.

Many of the damage scars apparent from the April 27, 2011 outbreak exhibited signs of recovery and change in the years following the outbreak.  Other tornado events also brought additional vegetation damage and scarring to the region. With five years passing since the 27 April 2011 tornado outbreak, annual views of cloud-free imagery have been obtained from the Landsat missions, operated and managed as a collaboration between the USGS and NASA.  In the viewer linked below, SPoRT has collaborated with the USGS Earth Resources Observation Systems (EROS) Data Center to acquire 30 m true color and vegetation index information from Landsat 5, Landsat 7, and Landsat 8 during the late spring and summer months when local vegetation is at its greenest, allowing the greatest contrast between damaged and undamaged areas. Users can take a look at these images in a web viewer that allows toggling between different products and years, view some of the tornado tracks surveyed by the NWS following the April 27, 2011 event, and zoom into areas of interest to examine how some of the affected areas have evolved over time:

Tuscaloosa, AL

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The above animation shows the year before and years after the EF-4 tornado impacted the Tuscaloosa area. The tornado track has seen a significant recovery, but a scar still remains in 2015. In addition to seeing how the landscape as recovered from tornado, development in and around Tuscaloosa is also apparent.  Missing pixels in 2012 are due to an issue with the Landsat-7 imager.

Hackleburg-Phil Campbell

phill_full_half_v2

Similar to the Tuscaloosa animation, this animation shows the recovery of the EF-5 tornado that moved through Hackleburg and Phil Campbell, before tracking northeast across the Tennessee River.  Missing pixels in 2012 are due to an issue with the Landsat-7 imager.

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On April 16th a fire was reported in the Shenandoah National Park in eastern Rockingham County, Virginia, situated roughly between the cities of Harrisonburg and Charlottesville. Estimated at about 500 acres (per latest news reports), the fire (named the Rocky Mountain Fire) is large enough and producing a sufficient amount of smoke to be seen in Geostationary satellite data from GOES-13 this afternoon (Image 1).

GOES_AfternoonLoop_18Apr2016

Image 1. GOES visible loop, 1646-1845 UTC, 18 April 2016.  A plume of smoke can be seen extending SSE of the fire in the central portion of the image.  The Charlottesville, VA observation site (in the path of the smoke) contains a report of smoke in the last couple of frames of the loop.

However, the fire can also be seen in Day-Night Band Imagery, produced by the VIIRS instrument aboard the Suomi-NPP satellite.  The first image below (image 2) shows no visible fire early on the morning of the 16th and the growth of the fire over the next couple of mornings in the next two images (images 3, 4).

DNBRadiance_0729Z16Apr2016_blog

Image 2.  VIIRS Day-Night Band Radiance RGB, 0729 UTC 16 April 2016. The circle shows the eventual location of the fire (although not evident yet in this image from the morning of April 16th).

 

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Image 3. VIIRS Day-Night Band Radiance RGB, 0710 UTC 17 April 2016. The small white dot in the center of the circle likely represents the fire early on the morning of the 17th.

 

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Image 4. VIIRS Day-Night Band Radiance RGB image, 0615 UTC 18 April 2016, showing the much larger “Rocky Mountain Fire” in portions of the Shenandoah Nat’l Park in eastern Rockingham County, VA.

 

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On December 23, 2015, an unusual early winter season tornado outbreak struck much of the Tennessee Valley. Several tornadic supercell thunderstorms developed across northern Mississippi and western Tennessee in the afternoon hours, producing several large long-track tornadoes that unfortunately resulted in numerous fatalities and injuries. These same storms then moved rapidly east-northeastward at up to 70 mph across Middle Tennessee during the evening, spawning 4 tornadoes and causing 2 deaths and 7 injuries. Prior to this tornado outbreak, only 7 tornadoes had ever been recorded across Middle Tennessee since the 1800s, easily making this the largest and worst December tornado outbreak in Middle Tennessee history.

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OHX radar base reflectivity (left) & storm-relative velocity (right) at 623 pm CST on December 23, 2015 showing a supercell thunderstorm with an EF2 tornado in progress southeast of Linden, TN

NWS Nashville sent out three storm survey teams to evaluate all of the damage from these tornadoes on Christmas Eve and again on Christmas Day. Unfortunately, the affected areas were very rural and mostly inaccessible to the storm survey teams, with few roads available to evaluate damage indicators or determine beginning and end points. Thankfully, Landsat 8 imagery was available in the online Damage Survey Interface (DAT beta version) that depicted the swaths of blown down forests along the tornado paths that tracked through areas where the storm survey teams could not access. Landsat imagery allowed NWS Nashville personnel to extend two of the tornado paths by several more miles than originally estimated.

landsat

Landsat 8 panchromatic imagery (contrast enhanced) from March 22, 2016 showing the damage swath from an EF2 tornado that killed 2 people southeast of Linden, TN. The beginning point of this tornado was adjusted ~2 miles further southwest than originally estimated based on the satellite imagery.

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Conditions have been very warm and dry lately in parts of the Southern Plains and the Southwest.  This has resulted in a few blowing dust events and over the last 24 hours or so, and some very large grass fires in the open prairie.  Take a look at this loop of GOES 3.9 um imagery from 1655 UTC to 2115 UTC today, to see this rapid expansion of a very large fire ongoing on the Oklahoma/Kansas border, encompassing Comanche, Barber and Woods Counties.  The black colors represent the fire hot spots developing and expanding in the very dry and windy conditions.  In fact, widespread wind gusts around 40 to 50 mph were common in the region today.

3.9um_FiresInPlains_23March2016

Image 1. GOES 3.9 um loop from 1655 to 2115 UTC 23rd March 2016.

 

This fire even showed quite up well last night in the Suomi NPP VIIRS Day-Night Band imagery.

DayNightBandRadianceRGB_KSandOKFire_0818Z23Mar2016

Image 2. Suomi VIIRS Day-Night Band Radiance RGB, 0818 UTC 23rd March 2016. The white circle indicates the location of the large grass fire in Woods and Comanche Counties.

Interestingly, the smoke from these grass fires is apparently not sufficiently dense or reflective to show up very well in the nighttime visible imagery.  Only a faint wisp of smoke can be seen extending to the NE of the fire in the prevailing direction of the surface wind last night.

Meanwhile, the Dust RGB showed significant dust plumes in and around the region…

DustRGB_1946UTC23Mar2016

Image 3. Suomi NPP VIIRS Dust RGB, 1946 UTC 23rd March 2016. Circles indicate areas of blowing dust evident in the Dust RGB. At this time, blowing dust was reported in Lubbock, TX and Hobbs, NM (not shown).

 

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SFR_0220UTC_02162016

During the afternoon and early evening hours on 2/15/2016, a large area of rain covered much of northeast Kentucky and southeast Ohio as well as the western half of West Virginia.

An upper level disturbance then moved across the area during the evening and overnight hours with the rainfall mixing with and then transitioning to all snow.

I wanted to show how the SFR image performed during this transition.  The image above is from 0220 UTC on 2/16/2016.  At that time, much of the precipitation across West Virginia was still in the form of rain…with an area of snow extending from northwest Pennsylvania across central Ohio into southwest portions of that state.

There appears to be several observations of rain across Ohio with surface temperatures  of 32 to 35 DegF  where the SFR product indicated snow in the clouds.  It does appear that where surface temperatures were warmer than 35 DegF, the SFR product did not indicate any snow in the clouds.

From an earlier post, I believe the SFR throws out snow when the model-based 10-m temperatures exceeded 33 DegF.  Is this filter working in this situation?

 

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