26 March 2009
Arizona Downbursts: Recap and Look Ahead
The images above are examples of southwestern U.S. GOES-11 imager microburst risk products that were generated prior to significant downburst events over central and southern Arizona during August and September 2008. Both images display convective storm activity developing over central and western Arizona during the afternoon that would produce downbursts during the following one to four hours. The product image at 2130 UTC 9 August 2008 (top) displays a favorable microburst environment near Horseshoe Lake ALERT station (AHL), where a strong convective wind gust of 46 knots would occur about one hour later at 2238 UTC. In a similar manner, the product image at 2000 UTC 11 September 2008 (bottom), indicates a moderate to high risk of microbursts near Gila Bend (AGL), where a downburst wind gust of 42 knots would be observed about four hours later at 0025 UTC 12 September.
Validation during the upcoming 2009 convective season will entail comparing surface observations of downburst wind gusts by Arizona ALERT stations to GOES-11 imager microburst and GOES-11 sounder Microburst Windspeed Potential Index (MWPI) product output generated one to three hours prior to each event. Wind gust magnitude for each downburst event will be compared directly to the closest representative microburst product output (BTD for imager product, MWPI for sounder product). In addition, radar reflectivity imagery will be utilized to verify that observed wind gusts are in fact associated with convective storms. Surface wind histograms from respective ALERT stations will be analyzed to identify the time and intensity of observed downbursts as demonstrated in the image below:
The above wind histogram at Horseshoe Lake ALERT station represents downburst occurrence as a sharp peak in wind gust speed near 1540 LST 9 August. This information, in conjunction with high radar reflectivity (>55 dBZ) associated with the parent convective storm, as displayed in the previous entry, confirmed that this wind event was clearly associated with a downburst. Thus, product validation will follow the methodology as outlined in Pryor (2009). It is expected that such a procedure should yield a statistically significant sample size, from which product performance should be effectively evaluated using classical statistical analysis. Validation involving three downburst events during the 2008 convective season did yield favorable results: a correlation of .50 that was statistically significant at the 84% confidence level. It is promising that such a small sample size indicated a significant correlation between GOES-11 microburst algorithm output and observed downburst wind gust speeds. More detail pertaining to this study can be reviewed in the following paper published in Arxiv.org: http://arxiv.org/abs/0904.0446.
Regional climatology has identified that the typical warm-season microburst environment over central Arizona can be best described as "hybrid" with an "inverted V" vertical profile characterized by significant CAPE, a mid-tropospheric moist layer, and a deep, dry convective boundary layer. These attributes are most effectively captured by both the GOES imager and sounder-derived MWPI products.
References
Pryor, K.L., 2009: Microburst windspeed potential assessment: progress and developments. Preprints, 16th Conf. on Satellite Meteorology and Oceanography, Phoenix, AZ, Amer. Meteor. Soc.
20 March 2009
West Texas Windstorm: 14 August 2008
The images above are the Geostationary Operational Environmental Satellite (GOES)-11 imager microburst risk product visualized with McIDAS-X (top) and McIDAS-V (bottom) software, valid at 2300 UTC 14 August 2008. The bottom image also displays radar reflectivity from Lubbock, Texas NEXRAD (KLBB) at 0235 UTC 15 August 2008, time of downburst occurrence. The imager microburst risk product (top) displays a large
The Rapid Update Cycle (RUC) sounding profile above, at
Caracena, F., and J.A. Flueck, 1988: Classifying and forecasting microburst activity in the Denver area. J. Aircraft, 25, 525-530.
12 March 2009
An Anomalous Nighttime Downburst Event
The images above are a GOES sounder-derived MWPI product and corresponding
The above RUC model analysis sounding at 0700 UTC over Anton displayed the presence of the residual mixed layer that had developed and evolved during previous day. The layer, about 100 mb deep, provided sufficient downdraft instability that resulted from a steep, near dry-adiabatic lapse rate and large vertical relative humidity gradient. These conditions favored evaporative cooling and negative buoyancy generation as precipitation descended below the cloud base that was at a height near 10,000 feet. Thus, the cluster of relatively weak showers was capable of producing intense downdrafts due to a sub-cloud thermodynamic structure that provided very little inhibition. The residual mixed layer was overlying a conditionally unstable layer from the 800-mb level to the near the surface and a shallow stable boundary layer based at the surface. Surface observations at Anton (not shown) indicated a slight temperature increase at the time of downburst occurrence (0830 UTC), likely resulting from the mixing of warmer and drier air in the residual layer to the surface. Overall, the GOES-11 imager microburst risk product effectively indicated downburst potential in this nighttime, elevated mixed layer environment.
References
Pryor, K.L., 2009: Microburst windspeed potential assessment: progress and developments. Preprints, 16th Conf. on Satellite Meteorology and Oceanography, Phoenix, AZ, Amer. Meteor. Soc.
Stull, R.B., 1988: An introduction to boundary layer meteorology. Kluwer Academic Publishers, Boston, 649 pp.
05 March 2009
Initial Assessment of the GOES Imager Microburst Product over Western Texas
Correlation was calculated by comparing output brightness temperature difference (BTD) values derived from GOES-11 and MODIS data to wind gust observations associated with downbursts. The cases selected included observations of severe winds (> 50 knots), in which downbursts occurred one to three hours after the generation of the product image. These cases provided the opportunity to assess the imager products as predictive tools for microburst potential. It was required in the product images that skies were clear over the location of downburst occurrence to preclude cloud contamination and unrepresentatively low risk values. A correlation of .59 was found between GOES-11 microburst risk values and wind gust magnitude. By a factor of two, this correlation was stronger than that calculated between MODIS output BTD and downburst wind gust measurements. Thus, over western Texas, GOES-11 imager data would be the optimal source to calculate and display microburst risk (probability).
The summer downburst events (6 of 8) were associated with high-reflectivity convective storms (>50 dBZ), highlighting the importance of precipitation loading in the downburst generation process (Johns and Doswell 1992). In most cases the downbursts occurred during the late afternoon and evening, near the end of a day of strong solar heating that resulted in the development of a deep convective boundary layer. The imager microburst products captured the evolution of these favorable environmental conditions.
The images above exemplify a typical summer downburst event over western Texas. The West Texas Mesonet meteogram at Turkey on 27 July 2008 displays the evolution of a deep convective mixed layer as an increase in dewpoint depression (DD) , in which the maximum surface DD (45F) occurred about one hour prior to the downburst. It is apparent in the meteogram that the development and evolution of the mixed layer is tied to strong insolation throught the day. The GOES-11 imager microburst product at 2030 UTC 27 July with overlying radar reflectivity imagery at 2307 UTC shows the downburst-producing convective storm near Turkey in a region of high risk. In general, severe downbursts, with wind gusts greater than 50 knots, are likely when output BTD values are greater than 45K.
REFERENCES
Johns, R.H., and C.A. Doswell, 1992: Severe local storms forecasting. Mon. Wea. Rev., 121, 1134–1151.