Plenty of Fresh Powder for Paralympic Winter Games in PyeongChang: Three Snowstorms in Eight Days

Plenty of Fresh Powder for Paralympic Winter Games in PyeongChang: Three Snowstorms in Eight Days

The 13th Paralympic Winter Games are set to begin officially in PyeongChang on March 9th, and the mountainous Olympic venues in eastern South Korea have had no shortage of snow in the last week.  Three major winter storms have affected the Korean Peninsula since 28 February 2018, helping to recharge the snowpack for the Paralympic Winter Games.  Figure 1 shows 24-hour simulated snowfall totals from SPoRT’s real-time NASA Unified-Weather Research and Forecasting (NU-WRF) model for the three recent snowstorms on 28 February, 4 March, and 7-8 March.  SPoRT is continuing to generate 24-hour forecasts of NU-WRF model runs, updated four times per day as part of the research field campaign known as the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic Winter Games (ICE-POP).



Figure 1.  Simulated 24-hour accumulated snowfall (in cm) from NU-WRF simulations of the snowstorms occurring over the Korean Peninsula on (a) 28 February, (b) 4 March, and (c) 7-8 March 2018.  The region depicted is the inner-nested NU-WRF model grid with 1-km horizontal spacing.


The Korea Meteorological Administration’s surface analysis on 0300 UTC 28 February shows a potent low pressure approaching the Korean Peninsula from the southwest (Fig. 2), which eventually intensified to less than 970 mb near northern Japan the next day.  A picture taken of the NASA Precipitation Imaging Package after the 28 February storm (Fig. 3) shows the substantial snowpack resulting from the ~40 cm (~16 inch) snowfall that occurred at the research station labeled “DGRWC” in the NU-WRF simulated snowfall plots of Figure 1.



Figure 2.  Surface analysis from 0300 UTC 28 February 2018, courtesy of the Korea Meteorological Administration (KMA).




Figure 3.  (top) Photograph taken of the NASA Precipitation Imaging Package (PIP) at the NASA instrumentation site in South Korea, following the snowstorm of 28 February. (bottom) NASA PIP and disdrometers observe a large number of 2.5+ cm diameter snowflakes/aggregates during 28 February.  Photograph at top taken by Mr. Kwonil Kim, Ph.D. student at Kyungpook National Univ.  Bottom image provided by Larry Bliven, NASA GSFC/Wallops Flight Facility.


Perhaps the most interesting of the three events is the latest storm from 7-8 March.  The NU-WRF model simulated composite radar reflectivity at 30-minute intervals (Fig. 4) shows a shield of moderate to heavy synoptic precipitation associated with the low pressure tracking to the south of the Olympic venues.  As the precipitation shield pulls away after ~0600 UTC 8 March, surface winds increase from a northeasterly direction over the Sea of Japan and push residual moisture inland against the mountains oriented parallel to the coastline.  This leads to a prolonged band of shallow, but moderately intense snowfall in the mountains as the moist onshore flow is forced upward by the topography.  Consequently, snowfall amounts are enhanced along the east coast of the Korean Peninsula.  Finally, the evolution from deep synoptically-driven snowfall to the shallower forced uplift snowfall is captured nicely by NU-WRF time-height cross sections at the various Olympic venues.  Figure 5 shows one of these time-height sections at the Alpensia site (location labeled in Fig. 1 panels), depicting the deep snowfall mixing ratios until ~0600 UTC 8 March, followed by a transition to much shallower, episodic snowfall for the remainder of the time period through 1800 UTC 8 March.



Figure 4.  Twenty-hour hour animation of NU-WRF simulated composite radar reflectivity (dBZ) at 30-minute intervals from the model run initialized on 1200 UTC 7 March 2018.



Figure 5.  Time-height cross-section of simulated precipitation microphysics in the lowest 2000 meters above ground level at the Alpensia Olympic venue, from the NU-WRF model run initialized on 1800 UTC 7 March 2018.

NASA/SPoRT Providing Real-time Numerical Weather Prediction Guidance for 2018 Winter Olympics

The NASA/SPoRT Center has developed a real-time numerical weather prediction (NWP) configuration that is being provided to forecasters in South Korea in support of the 2018 PyeongChang Olympics and Paralympic games.  The real-time modeling solution is part of a broader initiative known as the International Collaborative Experiment for the PyeongChang Olympics and Paralympic Winter 2018 Games (ICE-POP), which focuses on the measurement, physics, modeling, and prediction of heavy orographic snow in the PyeongChang Region of South Korea from January to March, 2018.  ICE-POP is led by the Korean Meteorological Administration (KMA) as a component of the World Meteorological Organization’s (WMO) World Weather Research Program (WWRP) Research and Development and Forecast Demonstration Projects (RDP/FDP).

The overarching ICE-POP goal is to gain a better understanding of orographic frozen precipitation processes, with the expectation that ICE-POP activities will also improve real-time weather forecasts and KMA-led decision support during the 2018 Winter Olympics. A coordinated array of surface, air and ship-borne meteorological instrumentation, radars, and NWP tools from numerous international partners (including NASA) support the ICE-POP objectives.  NASA’s participation in the ICE-POP RDP/FDP involves Marshall and Goddard Space Flight Centers collaborating as a team on a variety of common forecast and research goals.  The outcome of NASA’s involvement in ICE-POP will be the contribution of observational and modeling data that, as part of the larger ICE-POP dataset, will provide a more comprehensive understanding of orographic snowfall processes — a necessary step for improving and/or developing satellite-based snowfall retrieval algorithms and improved snow microphysics in NWP models.

For the real-time NWP solution as part of the ICE-POP FDP, SPoRT has configured the NASA Unified-Weather Research and Forecasting (NU-WRF) modeling framework to generate 24-hour forecasts four times per day, with initialization times at 0000, 0600, 1200, and 1800 UTC.  The model physics suite features the advanced 4-ice microphysics and short- and long-wave radiation parameterization schemes developed at Goddard Space Flight Center.  The NU-WRF grid setup consists of a triple-nested domain at 9-km, 3-km, and 1-km horizontal spacing, and 62 terrain-following vertical levels, covering regions spanning eastern Asia (9-km grid), the Korean peninsula and surrounding waters (3-km grid), and the eastern Korean peninsula centered on the Olympics venue (1-km grid; Fig. 1).  Initial and (lower) boundary conditions are provided by the NCEP Global Forecast System model and SPoRT’s own 2-km resolution sea surface temperature composite product.


Figure 1. Depiction of the triple-nested grid configuration for the real-time NU-WRF forecast guidance, consisting of 9-km (upper-left), 3-km (right), and 1-km (lower-left) mesh grids.

Model fields are output every 3 hours on the 9-km grid, and every 30 minutes on the 3-km and 1-km grids.  The high-resolution output from the 1-km nest centered on the Olympics venue is being delivered in real time to South Korea forecasters for decision support during the games. SPoRT is sending full grids as well as point forecasts of model fields of interest at each specific game site.  Additionally, numerous graphics of temperature, moisture, winds, precipitation, snowfall, etc. are produced for each grid and hosted to a live model web page, accessible to the public.  The SPoRT/NU-WRF model output along with other models from participating international organizations will provide unique forecast guidance for advanced decision support during the Winter Olympics.  For more information and access to all the SPoRT modeling and remote-sensing products being served for ICE-POP, please link to the SPoRT ICE-POP project page.

Finally, an examination of the SPoRT/NU-WRF model guidance initialized at 1200 UTC 7 February offers a preview of anticipated conditions for the opening ceremony on 8 February.  A weak low pressure is forecast to move southeastward across the Yellow Sea, as indicated by the simulated mean sea level pressure and composite reflectivity from the 3-km grid in Figure 2.  However, this system should not impact the Korean peninsula, so the Olympic venues are forecast to remain free of precipitation.  Temperatures will be seasonably cold, as they are expected to remain below freezing at the venues for the next 24 hours (Fig. 3 animation of forecast 2-meter temperatures on the 1-km nested grid).  Visibility looks good, as it is forecast to remain above 10 km (Fig. 4 animation) with little to no low-level cloud cover being simulated by the 1200 UTC initialization of NU-WRF (not shown).  Enjoy the games and be sure to visit the SPoRT/NU-WRF modeling page often for short-term forecast weather conditions during the 2018 Winter Olympics!


Figure 2.  Animation of 30-minute mean sea level pressure (hPa), 10-m winds (m/s), and composite reflectivity (dBZ) from the 3-km nested grid of the SPoRT/NU-WRF simulation initialized on 1200 UTC 7 Feb 2018.


Figure 3.  Animation of 30-minute 2-m temperatures (deg C) and 10-m winds (m/s) from the 1-km nested grid of the SPoRT/NU-WRF simulation initialized on 1200 UTC 7 Feb 2018.


Figure 4.  Animation of 30-minute surface visibility (km) and 10-m winds (m/s) from the 1-km nested grid of the SPoRT/NU-WRF simulation initialized on 1200 UTC 7 Feb 2018.

April 27, 2011–Five Years Later: A Satellite Imagery Perspective

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).


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


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


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.

The Langmuir Lab LMA at WFO Albuquerque

In late April,  NASA SPoRT and the Albuquerque NWS met with scientists at New Mexico Tech to coordinate the integration of the Langmuir Lab lightning mapping array data into our operations.  According to Bill Rison, Paul Krehbiel, and Ron Thomas, New Mexico Tech’s Lightning Mapping Array (LMA) is a 3-dimensional total lightning location system. The system is patterned after the LDAR (Lightning Detection and Ranging) system developed at NASA’s Kennedy Space Center by Carl Lennon, Launa Maier and colleagues. The LMA measures the time of arrival of 60 MHz RF radiation from a lightning discharge at multiple stations, and locates the sources of the radiation to produce a three-dimensional map of total lightning activity.  The time-of-arrival technique for studying lightning was pioneered by Dave Proctor in South Africa.  The NASA SPoRT core project site details that operationally, total lightning data provide several advantages to forecasters.  First, total lightning data often give a 3-5 minute lead time ahead of the first cloud-to-ground lightning strike.  This improves lightning safety for the National Weather Service’s Terminal Aerodrome Forecasts (TAFs) and Airport Weather Warnings (AWWs).  This safety feature also can be used for incident support of special events. In addition, the total lightning data provides information about the spatial extent of lightning that is not available in the traditional cloud-to-ground data (  This data may also be used to evaluate the degree of lightning activity within active wildfire smoke plumes.  The image below is an example of an LMA station at Briggsdale, Colorado taken by New Mexico Tech.  These stations are solar-powered and communications are operated via cell technology.

LMA stations at Briggsdale, Colorado.  Photo available from NM Tech.

Figure 1.  LMA station at Briggsdale, Colorado. Photo available from NM Tech.

After the first collaboration between NWS Albuquerque and NM Tech, forecaster Jennifer Palucki met with Harald Edens in June to install the xLMA and Live LMA software onto our office outreach laptop.  The LMA data that forecasters are evaluating at Albuquerque consists of source densities.  The imagery is available as a contour shaded product and describes the overall extent of sources from a particular thunderstorm or complex of thunderstorms.  The Live LMA software provides the actual point source information that make up the densities available in AWIPS.  The forecaster can actually see the structure of the point sources making up a flash on a 1-minute temporal resolution.  Figure 2 below shows the composite radar reflectivity valid at 0200 UTC July 23, 2014 for a complex of thunderstorms developing southward into the Albuquerque Metro Area.  The associated LMA source density product at 0202 UTC in Figure 3 illustrates the structure of the shaded point sources for the lightning flash.  The graphic shown in Figure 4 details the point sources available with the Live LMA software.  The source densities making up the flash during this 1-minute period stretched as far as 30-km from north to south and 20-km from east to west.  The altitude of the main source region was near 10-km.  The data available in AWIPS also allows the forecaster to slice and dice the data by elevation angle.  Forecasters at the Albuquerque NWS will continue evaluating the LMA products through summer 2014 to offer feedback to NASA SPoRT and NM Tech on its operational application.


Figure 2.  Mosaic Composite Reflectivity valid at 0200 UTC July 23, 2014.

Figure 2. Mosaic Composite Reflectivity valid at 0200 UTC July 23, 2014.


Figure 3.  Langmuir Lab LMA Source Density product valid at 0202 UTC July 23, 2014.

Figure 3. Langmuir Lab LMA Source Density product valid at 0202 UTC July 23, 2014.

Figure 4.  Live LMA 1-minute point sources valid at 0202 UTC July 23, 2014.

Figure 4. Live LMA 1-minute point sources valid at 0202 UTC July 23, 2014.

SPoRT Tiled Mapping Service Allows Decision Makers and the Public Unique Views of Super Typhoon Bopha

SPoRT’s Disaster Response Team sprung into action this morning to produce imagery in response to Super Typhoon Bopha as it approaches The Philippines and the Southeast Asia mainland.  To better serve SPoRT’s partners, end-users, and the general public, this imagery has been integrated into SPoRT’s new Tiled Mapping Service (TMS).  The TMS allows users the capability to view the highest resolution data using only their web browser.  This service is also helpful for disaster response teams that are working in the field as browsers on tablets or smartphones can seamlessly pan and zoom SPoRT imagery without the need for a specific decision support system, lots of computational horsepower, or fast data download speeds.  In addition, users can adjust the transparency of different data sets in order to compare features from multiple instruments.  The transparency can be adjusted by clicking on the text associated with the displayed product in the layer tree and then using the scroll bar in the upper left of the display to adjust the transparency.

Below is an example of using the TMS to layer Day Night Band (DNB) imagery from NASA/NOAA/DoD’s Visibile Infrared Imaging Radiometer Suite (VIIRS) valid at around 1700 UTC on 2 December 2012 and the 89 GHz RGB product from NASA’s Tropical Rainfall Measurement Mission (TRMM) Microwave Imager.  In the VIIRS image, cloudy features appear as white even in the middle of the night as moonlight is reflected from the cloud tops.  Here, Super Typhoon Bopha can be seen in the bottom right of the VIIRS swath.  However, the edge of the scan bisects the storm.  To get a more full picture of the storm–and to learn additional information about where active convection is occurring–the passive microwave 89 GHz RGB product can be overlain.  With the transparencies appropriately adjusted, one can see both the extent of the cloud field associated with the storm (white features in the VIIRS DNB imagery) along with areas that are most convectively-active (red areas in PM RGB).

SPoRT continues to process additional datasets to add into the system, so check back for updates as new satellite data become available.

Example of overlaying NASA satellite datasets in SPoRT's TMS.  Passive Microwave RGB imagery from 0200 UTC on 3 December overlays VIIRS DNB  imagery from 1700 UTC on 2 December for Super Typhoon Bopha as it approaches The Phillipines

Example of overlaying NASA satellite datasets in SPoRT’s TMS. Passive Microwave RGB imagery from TRMM is overlaid on VIIRS DNB imagery to show where most active convection is occurring with Super Typhoon Bopha as it approaches The Philippines.

High-resolution VIIRS DNB Imagery of Super Typhoon Bopha from SPoRT TMS displayed using a handheld device.

High-resolution VIIRS DNB Imagery of Super Typhoon Bopha from SPoRT TMS displayed using a handheld device.

SPoRT Multispectral Imagery Products Available For Download

As mentioned in earlier blog posts, SPoRT is currently producing a suite of satellite imagery products in support of forecasting for Hurricane Sandy.  These products include multispectral (also called RGB) imagery that blends specific channels that are sensitive to different atmospheric characteristics.  They are used to identify different cloud and air mass features within and surrounding the storm.  The products are available to NWS/NCEP in their NAWIPS decision support system and in KML format for viewing via Google Earth.  All of the data that SPoRT provides to the NWS are also freely available on the SPoRT website or through download via anonymous FTP, so non-NWS decision makers and the public can access the data to track the storm.

VIIRS images are available on the SPoRT website ( by selecting VIIRS under the “Real-Time Data” tab.  MODIS images are available on the SPoRT website by selecting MODIS under the “Real-Time Data” tab.

KMZ files for Google Earth are available for download via SPoRT’s FTP server.  Click on the links next to each product description to view a list of VIIRS or MODIS imagery available for download into Google Earth.

  • True Color RGB:  Shows a representation of what the naked eye would view from space.  VIIRS   MODIS
  • Air Mass RGB:  Shows different cloud and air mass features, including moist tropical air and dry stratospheric air that enable forecasters to determine how the storm is interacting with its environment.   VIIRS & CrIS   MODIS
  • Day-Night-Band:  Allows for imagery to be generated using reflected moonlight or emitted surface light.  This is especially helpful because other visible satellite imagery is not available at night.  This product shows the location of city lights in clear skies and can be used to depict the extent of power outages due to large storm systems.   VIIRS
  • Dust RGB:  Shows the location of dust, which can be a contributing factor to hurricane development.   VIIRS  MODIS
  • False Color RGB:  Enhanced imagery that can differentiate snow from cold cloud tops.   VIIRS  MODIS
  • Nighttime Microphysics RGB:  Used to differentiate clouds from low-level fog.  VIIRS  MODIS

Training on how to interpret the different imagery can be found in training modules developed by SPoRT.  These modules can be viewed on the SPoRT website by selecting Training under the “Transitions” tab.

SPoRT True Color RGB Image in Google Earth depicting Hurricane Sandy off the Carolina Coast at 1749 UTC on 28 October 2012

*UPDATE*:  It appears that the latest version of Google Earth (6.2) is cropping some of these KML images.  To view the full images, it is recommended to use Google Earth 6.1 to view the VIIRS imagery.  This older version can be downloaded by visiting the Google Earth download page ( and clicking the “advanced setup” link located below the Terms of Service.

The SPoRT Partners Virtual Workshop Starts Tomorrow, September 12th…

Hi all, the SPoRT Partners Virtual Workshop will be held on the afternoons of September 12th and 13th.  Here is the workshop agenda for the next couple of days…

Wednesday, September 12th (Noon – 4:00 PM – Central)

12:00 – 12:25

•Welcome, introduction, logistics, etc.

Convection, Severe Weather, and Total Lightning

12:25 – 12:50

An overview of summer convection across central Alabama – WFO Birmingham – Kevin B. Laws

12:50 – 1:15

Evaluation of the Convective Initiation (CI) GOES-R Algorithm in South Florida in July of 2012 – WFO Miami – Jeral Estupiñán

1:15 – 1:40

Using NASA SPoRT data sets to improve warning decision making during the peninsular Florida warm/wet season – WFO Melbourne – Jonathan C. Guseman, Matthew R. Volkmer, Peter F. Blottman, and David W. Sharp

Collaborations with OPC

1:40 – 2:05

Presentation by Michael Folmer

2:05 – 2:30


Operational Uses of Total Lightning

2:30 – 2:55

An investigation of North Alabama Lightning Mapping Array data and usage in the real-time operational warning environment during the March 2, 2012 severe weather outbreak in northern Alabama – WFO Huntsville / NASA SPoRT – Kristopher D. White, Geoffrey T. Stano, and Brian Carcione

2:55 – 3:20

Use of total lightning data at Chattanooga, Tennessee (Hamilton County) for public safety and decision making – WFO Morristown / NASA SPoRT – David Hotz, Anthony Cavallucci, and Geoffrey T. Stano

NASA SPoRT’s AWIPS II Activities

3:15 – 3:40

Demonstration of SPoRT / WFO Huntsville AWIPS II activities – NASA SPoRT / WFO Huntsville – Jason Burks, Kevin McGrath, and Matt Smith

3:45 – 4:00

Closing remarks, additional questions

Thursday, September 13th (Noon – 4:00 PM Central)

12:00 – 12:05

Brief introduction

Operational Uses of Unique Satellite Imagery

12:05 – 12:30

The integration of unique satellite observations into operational forecasting and their impact on short-term prediction and decision support – WFO Albuquerque – Brian Guyer and Deirdre Kann

12:30 – 12:55

Quantifying Saharan dust events in Miami, Florida during the summer of 2012 – WFO Miami – Jeral Estupiñán, Roberto Arias, and Dan Gregoria

12:55 – 1:20

Demonstration of RGB Composite Imagery at NWS forecast offices in preparation for GOES-R – WFO Huntsville / NASA SPoRT – Kristopher D. White and Kevin Fuell

1:20 – 1:45

Updates to NASA SPoRT’s hybrid imagery as well as transitioning VIIRS imagery from Soumi NPP – NASA SPoRT – Matt Smith

1:45 – 2:00



Initialization Datasets and Modeling Collaborations

2:00 – 2:25

Recent upgrades to NASA SPoRT initialization datasets for the Environmental Modeling System – NASA SPoRT – Jonathan L. Case

2:25 – 2:50

The utility of the real-time NASA Land Information System data for drought monitoring applications – WFO Huntsville / NASA SPoRT – Kristopher D. White and Jonathan L. Case

2:50 – 3:15

Preliminary results of a U.S. Deep South warm season deep convective initiation modeling experiment using NASA SPoRT initialization datasets for the operational National Weather Service local model runs – WFOs Houston and Mobile / NASA SPoRT – Jeffrey M. Medlin, Lance Wood, Brad Zavodsky, Jonathan L. Case, and Andrew Molthan

Workshop Wrap-Up

3:15 – 4:00

We are really looking forward to the workshop and hope to “see” you there!