JP3J.7 the MOISTURE ROUTE of PALO DURO CANYON Kevin R

JP3J.7 the MOISTURE ROUTE of PALO DURO CANYON Kevin R

JP3J.7 THE MOISTURE ROUTE OF PALO DURO CANYON Kevin R. Walter*, Christopher C. Weiss, Andrew H.P. Swift Texas Tech University Wind Science and Engineering Research Center, Lubbock, Texas 1. INTRODUCTION 2. PREVIOUS WORK Due to the significant discontinuity in elevation Despite Palo Duro Canyon’s potentially created by the “Caprock” Escarpment in west Texas, important role in local meteorology, there are few low-level moisture returning to that region under the previous works that address the issue. Further, to the influence of southeasterly flow potentially has significant authors’ knowledge there have been no attempts to take interaction with that feature. The shape of the Caprock measurements inside the canyon. Gerbier (1961), while Escarpment in the central Texas panhandle is such that investigating lee waves in the French Alps, found that air confined to the lowest atmospheric levels would be upward motion, an important factor for convection and “funneled” into the increasingly narrow cross-section of convective initiation, is most enhanced when winds flow Palo Duro Canyon. Eventually, the air would reach the into a concave escarpment with a steep boundary. A head of the canyon and lift over the escarpment, multi-year Amarillo, TX radar climatology by Marshall spreading onto the tabletop plains. Though the (1980) revealed a maximum in convective activity on or influence of the Caprock Escarpment on convective near the Caprock Escarpment, with the southeastern initiation is something that has interested storm chasers portion of Palo Duro Canyon recording the highest for decades, the problem needs further investigation for number of radar echoes during the months of May and a wider variety of meteorological reasons June (his Figure 10). This finding is consistent with (www.srh.noaa.gov/ama/paloduro/paloduro_front.htm). Fankhauser (1971), who documented the lifecycle of a Since low-level moisture is one of the keys to other thunderstorm that formed on the Caprock just northeast meteorological phenomena such as fog formation, it of Palo Duro Canyon and attributed the storm’s initiation would be useful to have some indication that the to moist upslope flow along the escarpment. idealized funneling situation described above indeed Correspondence with forecasters at the happens to some degree in the real atmosphere. National Weather Service in Amarillo, TX has indicated To scientifically address this issue, a vehicle- a suspicion amongst present-day operational mounted mobile mesonet was employed. Measured meteorologists that the canyon is an important part of parameters such as temperature, dewpoint, and wind local weather. For example, one prominent speed and direction from inside the canyon could then meteorological feature in west Texas during spring time be compared to those same parameters measured in is the dryline. Eastward mixing of the dryline during the locations outside the canyon. Figure 1 shows the regional topography, including Palo Duro Canyon. Figure 2. The eastward propagation of the dryline (indicated by the sharp line of clouds) is seemingly slowed in the vicinity of Palo Duro Canyon (indicated by arrow). Image courtesy of Robert Slattery, NWS Amarillo. Figure 1. Topography of the Texas Panhandle. Palo Duro Canyon is just southeast of Amarillo in Randall, day is often a key factor in severe thunderstorm Armstrong, and Briscoe counties. Maroon lines are initiation. Figure 2 shows a satellite image from a day transect portions of Hwy 207 (inside canyon) and Hwy with an active dryline. From this image, one can see 287 (northeast of canyon). that the eastward propagation of the dryline has been slowed or even halted in the vicinity of Palo Duro Canyon in the Texas panhandle. A deeper moist *Corresponding author address: Kevin R. Walter, Texas convective boundary layer in the canyon could Tech University, Wind Science and Engineering Center, potentially cause this retardation, though this cannot be Lubbock, Texas 79409-1023; e-mail: [email protected]. concluded from the image alone. 3. EXPERIMENTAL SETUP heading collected from the GPS unit was erroneous, resulting in false wind readings. The experimental design for this project centered on the mobile mesonet equipment owned and 5. CASE STUDIES AND ANALYSIS deployed by Texas Tech University. The mobile mesonet is a vehicle roof-mounted instrument package April 8, 2005 that, with an on-board data-logger, can be connected to The first case considered is April 8, 2005. On an in-car laptop computer via serial port for real-time this date, southeasterly winds advected moisture up the data monitoring. In addition, the real-time vehicle canyon axis. Though the wind pattern was desirable, position is logged by the mobile mesonet station via the the moisture gradient, and therefore the moisture Global Positioning System (GPS) so that the mesonet advection, was very weak. data can be transposed onto a spatial grid. Real-time Cross-sections of the canyon were taken at data were safely monitored during the project via a 1500 UTC, 1600 UTC, 2000 UTC, and 2100 UTC. custom-made laptop stand. Even though the mesonet Dewpoint values in these four cross-sections are includes its own functioning GPS, this data stream is not overlaid on an elevation trace of the canyon along easily monitored in real-time. Thus, the real-time Highway 207 (Figure 3). As expected, moisture levels vehicle position was monitored on a high-resolution map are meager; however, a signal of increased moisture (as via personal GPS and commercially-available mapping much as 2ºC) is found inside the canyon. A thick deck software. Additionally, the authors noted key features in of clouds was present over the canyon during the the data via a personal voice-recorder throughout the morning hours. As the day progressed, these stratus field experiment to facilitate data analysis and clouds eroded, and the coherent moisture increase interpretation at later dates. within the canyon was gradually counteracted by the To obtain adequate spatial coverage and truly effects of atmospheric mixing. Consequently, dewpoint investigate the local effect of the canyon, transects of values dropped through the afternoon. Another the canyon were performed continuously throughout the interesting feature of note is the minima in dewpoint at time period when moisture advection up the canyon was all times of day coinciding with the steepest north and evident. Fortunately, Highway 207 provides almost a south-facing slopes of the canyon rim. In addition, direct cross-section of the southeastern portion of the moisture values on the north rim plains are consistently canyon. Thus, a 32 km section of Highway 207 that lower than values on the southern rim plains. crossed directly through the canyon was the primary Throughout the experiment, temperature transect for data collection. In some cases, a secondary measurements were found to have much lower variance option to descend into the mouth of the canyon at Palo than dewpoint, as evident by comparing Figure 3 to Duro Canyon State Park was exercised. These two Figure 4. Also, during the morning hours, there were routes were the only available passages for data several locations where temperature was seemingly collection inside the canyon. discontinuous, one approximately correlating with the Prairie Dog Town Fork of the Red River at the base of 4. DATA COLLECTION AND QUALITY CONTROL the canyon, and one correlating with the south rim of the canyon. In addition, temperature trends across the Data collection was at a sampling rate of 0.5 canyon were found to completely reverse in just one Hz, or one measurement every two seconds. hour, with the 2000 UTC transect depicting warmer Preliminary results showed that moisture values temperatures on the north canyon wall and the 2100 exhibited high variance. To minimize variations UTC transect depicting warmer temperatures on the between neighboring data points, a five, and in some south canyon wall. The cause of these temperature cases ten-point moving average was applied as needed trends is unclear, and does not completely agree with to the measurements. Due to electrical interference the theories of Marshall (1980), who hypothesized that with the sensors, random spikes in the temperature and additional heating on southward-facing canyon walls dewpoint measurements were noted. To minimize force higher temperatures, a cross-canyon breeze, these false readings, values that were more than 3ºC and upward motion on the north rim of the canyon. higher than the previous reading (two seconds earlier) Throughout the day, wind direction both in and were overwritten with the previous value. out of the canyon was generally south-southeasterly. In the absence of large vehicle accelerations, Wind speeds (not shown) inside the canyon were one is able to calculate a “true” wind speed and consistently lower than that found on the rim plains, so direction through vector subtraction of the vehicle speed an argument of increased moisture advection based on and heading from the measured wind speed and the wind speed trends alone would not necessarily hold. direction. To minimize false readings caused by vehicle In the weeks following the first data collection period, a acceleration, and to neglect wind measurements while more typical spring-like pattern began to be established the vehicle was stationary, wind measurements were over the southern plains. Large-scale southeasterly disregarded at vehicle speeds less than 5.1 m/s, since flow allowed for very gradual moisture return the greatest accelerations usually occur below this northwestward into the Texas panhandle and eastern speed. Stationary measurements were disregarded New Mexico, and drylines eventually became because, without a flux gate compass, the vehicle established on a near-daily basis near the Texas - New 4-08-2005 Moisture Transect Canyon Elevation Profile 1500 UTC 1600 UTC 2000 UTC 2100 UTC 1100 2.5 1050 1.5 1000 950 0.5 900 850 Dewpoint (C)Dewpoint -0.5 Elevation (m) 800 -1.5 750 -2.5 700 34.78 34.8 34.82 34.84 34.86 34.88 34.9 Latitude (degrees) Figure 3.

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