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SOCRATES Digital Camera Imagery and Movie Notes
During SOCRATES, the NSF/NCAR GV HIAPER flew forward, left, and right-facing digital cameras for in-flight image capture.
The forward camera is a Point Grey Research Hi-Res Flea Hi-Color, 1024x768 resolution. The Navitar DO-412 lens has a focal length of 4 mm and the field of view is about 62 x 48 degrees with some barrel distortion. This camera is located on the right wing pylon.
The right-facing camera is a Point Grey Research Flea 3 (FL3-FW-14S3C-C) - Color, 1280 x 960 resolution equipped with an Edmund Optics 6mm lens (#67-709). The field of view is 68 x 51 degrees with approximately 6% barrel distortion. This camera was looking out a right-side cabin window, tipped slightly down and aft from perpendicular to the fuselage.
The left-facing camera is a Point Grey Research Hi-Res Flea Hi-Color, 1024x768 resolution, same as the forward camera. This camera was looking out a left-side cabin window, tipped slightly down and aft from perpendicular to the fuselage.
Images were acquired once per second and stored as JPEG-compressed files, roughly 100 kB each. No image processing was performed beyond converting the raw pixel data to 24 bit color images. Applying a sharpening filter as is ordinarily done by consumer digital cameras will considerably improve the appearance. The UTC date and time are encoded in the filename as YYMMDD-HHMMSS.jpg.
The movies are playable with Quicktime, Windows Media Player, mplayer, VLC, and others.
Flight Specific Comments:
TF01, TF02, FF01
The right and left-facing cameras recorded images with transposed labeling. The issue was corrected by updating the file structure for these flights only. This was due to a misconfiguration which was fixed after FF01.
FF07
No imagery captured during this ferry flight from the forward or left facing cameras. The right camera collected a total of 18 images during this flight.
For questions, please contact:
Stuart Beaton or Janine Aquino
NCAR/EOL/RAF
Data Set Documentation Guidelines
Data Archive Submission Instructions
Data Documentation
Letter from the Project Manager
Operations Debrief (Dec 5, 2013)
Data Documentation
Educational Activities
DOW8 was deployed for 11 intensive operation periods (IOPs, Table 1) distributed over five sites (Figure 1). The deployments, described in more detail below, provided educational opportunities to TAMU students enrolled in SOAP and an NSF-funded REU.
Table 1
Summary of DOW8 IOPs
| Date | Time (CDT) | Location | Activity | |
| IOP-1 | 7-14-2018 | 4:00-6:30PM | Research Farm | SOAP |
| IOP-2 | 7-15-2018 | 2:00-5:00PM | Research Farm | SOAP |
| IOP-3 | 7-16-2018 | 2:00-5:00PM | Benchley | SOAP |
| IOP-4 | 7-18-2018 | 2:00-5:00PM | Teichman Road | REU |
| IOP-5 | 7-19-2018 | 6:00-8:30AM | Teichman Road | REU |
| IOP-6 | 7-19-2018 | 1:00-4:00PM | Teichman Road | REU |
| IOP-7 | 7-20-2018 | 6:00-8:30AM | Teichman Road | REU |
| IOP-8 | 7-20-2018 | 1:00-6:00PM | Danbury | REU |
| IOP-9 | 7-21-2018 | 6:00-8:30AM | Teichman Road | REU |
| IOP-10 | 7-22-2018 | 5:30-8:00AM | Pelican Island | REU |
| IOP-11 | 7-23-2018 | 3:00-6:00PM | Research Farm | SOAP |

Figure 1. Locations of DOW8 IOP field sites.
SOAP
The first few days of the educational deployment of DOW8 were focused on training and local operations in College Station, TX with TAMU students enrolled in the SOAP course. Students were trained on DOW8 operations by the CSWR technician in groups of three in a parking lot on the TAMU campus. In addition to in-cab training, an hour-long training presentation on radar meteorology and the rapid-scan DOW slotted waveguide technology was given to the students by Drs. Nowotarski and Conlee.
During the following three days (July 14-16), three IOPs were conducted (IOPs 1-3, Table 1) wherein SOAP students participated in an early-afternoon weather discussion and planned deployments to either the research farm field site or a field site near Benchley, TX (Fig. 1) for rapid scanning of convective rain showers and pulse thunderstorms (Fig. 2). Several SOAP students also helped facilitate a local outreach event on the morning of July 15 (Sec. 3a). Another local IOP involving the SOAP students (IOP-11) was conducted at the research farm site on the last day of the educational deployment (July 23).

Figure 2. Research Farm SOAP DOW8 deployments.
NSF REU
i. Teichman Road
Five IOPs (IOPs 4-7 and 9, Table 1) occurred at the Teichman Rd site on Galveston Island (Fig. 1). IOP-4 was the students’ first exposure to the Teichman Rd site and we deployed there as an entire group after we arrived at Galveston Island on the afternoon of 18 July. Students were subsequently separated into smaller groups and were put in charge of monitoring the weather conditions for potential next IOPs and providing weather briefings to the rest of the group. From previous years we knew that there was often early morning convection over the water with redevelopment over land in the later afternoon, so morning groups would set their alarm and use the Houston NEXRAD to determine if there was any possible convective activity in the area over the next few hours. Each morning group decided to deploy and we captured a number of developing convective cells over the water (e.g., Fig. 3, top panel) for the three morning IOPs at Teichman Rd (IOPs 5, 7, and 9). The other afternoon IOP at Teichman Rd (IOP-6) observed developing convective cells over land and once again included the whole group and a sounding launch (Fig. 3, bottom panel).




Figure 3. The morning (two left images, IOP-5) and afternoon (two right images, IOP-6) of 19 July 2017.
We had the students think through a variety of scan modes using DOW8, including full-volume PPIs, sector-scan PPIs, RHIs, and a quasi-profiler mode. Their objective was to capture the developing convection in as much temporal and spatial detail as possible. The winds in the ordinary convective cells observed around Galveston Island are typically not very strong so we were not as concerned with velocity folding.
The students started with the scan strategies in Fig. 4 and would do an initial full PPI sweep with RS1 (i.e., 0.5 to 5.5 deg elevation angles) with a low PRF. After that, they would determine the distance and height of the best cell of interest and adapt the number of sweeps (each consisting of 6 elevation angles spaced 1 deg apart) and PRF to maximize the sampling of the cell. They also went through the process of determining appropriate sector scans, but realized that they did not buy one much in terms of sampling with the rapid scan ability of DOW8. When convective cells got close and topping out the storm became more difficult, the students attempted a series of RHIs (both individual and sector RHIs) to observe the tops of the cells. When cells passed over us (which happened twice), the students put DOW8 into a quasi-profiler mode.
While we couldn’t visualize any of these specialized scans in real-time, the process of inquiry and action by the students was unmatchable and the raw data, once processed, has the potential to contribute to our understanding of how things like entrainment and mixed-phase development occurs in ordinary convective cells.
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Figure 4. Example of five DOW8 scans that provide full-volume coverage (bottom right panel).
ii. Danbury
Because the prevailing weather pattern during the Galveston field trip was characterized by offshore early morning convection with afternoon convection farther inland, the students decided that the afternoon deployment on Thursday, July 20 should occur inland from Galveston Island to maximize data collection opportunities, mimicking how DOW8 might be used during a storm-chasing field experiment. The students developed a strategy to break into two teams with the goal of collecting simultaneous surface and upper air observations on the coast and inland at the radar site to measure horizontal variability in the afternoon convective environment.
During a meeting following the morning deployment on 20 July, students selected several target areas for remote field sites based Google-Earth satellite imagery. DOW8 and a mobile sounding team were deployed in the early afternoon to the target area, and students selected a site on an oil pad with an acceptable radar horizon near Danbury, TX, approximately 50 km west of the Galveston field site (Fig. 1). After obtaining permission from the landowners, students proceeded in setting up a field site suitable for obtaining co-located surface, upper-air, and radar observations (Fig. 5).

Figure 5. Danbury, TX DOW8 deployment (IOP-8).
During the ~3 hour remote deployment (IOP-8, Table 1), students alternated between radar operations, monitoring surface observations, and conducting a mobile balloon launch. The mobile-site balloon launch was synchronized with a simultaneous launch from the Galveston field site at 1948 UTC using shortwave radio communications. Launch 142 from Danbury (red lines in Fig. 6) was inland and closer to the ordinary convective cells observed by DOW8 (Fig. 7). The soundings are similar above the boundary layer but the marine air cooled and stabilized the lower levels of Launch 143 from Teichman Rd (blue lines in Fig. 6), resulting in a small cap near the ocean and reduced CAPE. The most unstable CAPE version (which is a surface parcel in each sounding) shows a very large value of 4000 J/kg available for the inland cells.
However, shear was weak so ordinary convection resulted.
Students at the Galveston site gained valuable experience in coordinating the DOW8 radar scan strategies based on the proximity, height, and stage of convection, alternating between full volume and sector PPIs with varying waveforms and elevation angles.

Figure 6. Soundings of inland (red) vs. coastal (blue) conditions during IOP-8.

Figure 7. Example of ordinary convective cell evolution every five minutes with DOW8 from IOP-8. Range rings are every 5 km.
iii. Other Galveston locations
On the final day of the Galveston REU field trip, an early morning IOP (IOP-10, Table 1) was conducted at a new field site on Pelican Island (Fig. 1) with good radar visibility towards the west, north, and east where early convection was observed over Galveston Bay. Following this deployment, the REU students helped facilitate an outreach event co-sponsored by the NWS forecast office in League City, TX (Sec. 3b). This also served as a learning and professional development experience for the students who interacted with NWS meteorologists and toured the office.
Outreach
A concerted effort was made to improve the public outreach impact of the DOW8 deployment from the previous TAMU educational deployment in Summer 2015. Two primary events were planned associated with the DOW8 being in the College Station area and later in the Houston/Galveston area during the REU/SOAP field experience.
College Station open-DOW event
A public event was held at an accessible location on campus adjacent to the Kyle Field football stadium on 15 July from 9 am to 12 pm (Fig. 8). Television, radio, and social media advertising were used, as well as signs along the major thoroughfare adjacent to the deployment location. In addition, the local Amateur Radio club, full of trained spotters and other weather technology enthusiasts, were invited to attend in conjunction with their nearby meeting, using it as a program element. A campus-wide visitation program by accomplished prospective students was also in progress, and our event was announced in sessions likely to have interests in the atmospheric sciences.
We were joined at the event by a storm-chasing vehicle, the Weather Edge, from the local CBS affiliate, KBTX. KBTX also provided additional media coverage. We estimate that approximately 70-75 people were able to tour DOW8 and the Weather Edge during the 3-hour event.

Figure 8. Outreach flyer and visitors to DOW8 during the College Station event.
Houston/Galveston open-DOW event
A public event was held adjacent to the NWS Houston/Galveston Forecast Office in League City, TX (between Galveston and Houston) on 22 July from 10 am to 1 pm (Fig. 9). This event included not only DOW8 demonstrations, but also demonstrations of the CSWR pod and the TAMU in-situ and upper air gear being used in the field experiment. Social media was the main advertisement, as the NWS has a huge Facebook and Twitter following. Again, ham radio volunteers associated with the NWS and Galveston County Emergency Management were targeted as they would be very interested in the radar technology of DOW8. NWS and Galveston County also provided many informative handouts and freebies in addition to those brought by TAMU.
This event had an excellent turnout, even though we had to temporarily suspend demonstrations due to lightning safety for a nearby cell. Many families with young children enjoyed the hands-on activities we prepared (e.g., making a cloud wheel) as well as touring DOW8. Several of the NWS employees came out on their off weekend day and brought family members. We estimate 125-150 people attended this event.
Assessment
Instructor point of view
Having DOW8 made substantial positive impact on both educational programs it touched. Access to and control of a mobile radar was a tremendous boon. As an instructor, DOW8 was crucial in conveying concepts related to radar site selection, scan strategy, and data interpretation for a variety of applications. The flexibility of a mobile, rapid-scan X-band radar was essential to the success of our summer programs, including the goal of capturing the rapid evolution of regular convection. Traeger Meyer, the DOW8 technician, was also a pleasure to work with and was very good with the students.
Student point of view
Below is a sampling of student feedback from both SOAP and REU participants.
Tyler Fenske (senior, Texas A&M University, SOAP participant): “The opportunity to use the DOW this past summer was invaluable and taught myself and my peers what advantages the DOW has over stationary radars, how to operate the DOW (simply), and how to interpret its data. It was fascinating to see it in action and to see the power of its mobility, as we were able to target certain locations based on where we expected convection and storms to occur. The high-resolution data also provided us with new insights about the storms we were observing. Overall, our time with the DOW was a very positive experience that taught us a lot about its advantages and capabilities.”
Benjamin Johnson (junior, Cornell University, REU participant): “Learning radar and other weather concepts in class is one thing, but being able to apply them in real life was a truly valuable experience.”
Erin Jones (junior, Millersville University, REU participant): “In addition to learning how to use the DOW, I took part in deciding what features should be scanned, when the scanning should begin and end, and how the DOW can be best utilized to achieve the most worthwhile results for the project. This study has advanced my ability to think critically and make decisions in a scientific field project setting.”
Glenn Liu (senior, CUNY Hunter College, REU participant): "Working with the DOW allowed me to experience firsthand the technology and skills used in meteorological fieldwork. As a student from a university without a meteorology program, learning how to operate the DOW and the concepts behind its data acquisition provides invaluable context; whenever I encounter radar data or read literature that is based on it, I can now better understand the author's methodology and its implications for their results."
Kiana McFadden (senior, Jackson State University, REU participant): “Allowing students to have access to the DOW affords great learning opportunities. Students, like myself, are able to have hands-on training with complex instruments while also learning how to collect and analyze data. Utilizing the DOW allows classroom training to be put to use in a real life scenario. I am thankful for the opportunity to have experience working with the DOW, and I hope more students are able to utilize this great tool.”
Emma Thomas (senior, University of Missouri, REU participant): “My experience with the DOW allowed me to gain experience in performing meteorological related field work by participating in real-live data collection and observation. This opportunity also gave me the chance to learn more about radar and how it works, which could be a useful skill to have for academic coursework or future career endeavors.”
Lessons learned
One factor that limits the educational deployment utility of any of the DOWs we’ve requested is the relative lack of ability to recall, display, and loop recently collected data sets in near-real time during the deployment. In an educational deployment, especially a mini-field campaign, many of the lessons need to be learned during the experience itself. It is in this usage where a user-friendly, recently collected data display and processing native to the DOW would be very beneficial.
In addition, formatting of DOW portable hard drives in a PC or Mac-readable format would be helpful for retrieving data during the deployment and prior to the DOW departing. We couldn’t easily read the disk with sample data from the first IOP that Traeger gave us and had to plug it into a Linux server in our basement to read it. We also didn’t get the whole data dump before Traeger left. Andrew Frambach was accommodating in providing us the data after the fact, but it added extra time for everyone to track down the data and transfer it after the deployment was over.
Finally, we very much appreciate the willingness of CSWR to entertain the possibility of processing the DOW8 scans that we did in unconventional ways. A personal lesson learned would be to talk to the CSWR engineers beforehand to see what is possible in terms of data processing (not that we still wouldn’t have scanned the way we did to make the students think more, but an ideal end goal would also be to have the data in a more useable format).





