HIGH-RESOLUTION RAWINSONDE OBSERVATIONS OF THE COLD SECTOR PRECIPITATION REGIONS IN TRANSIENT MID-LATITUDE EXTRATROPICAL CYCLONES

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HIGH-RESOLUTION RAWINSONDE OBSERVATIONS OF THE COLD SECTOR PRECIPITATION REGIONS IN TRANSIENT MID-LATITUDE EXTRATROPICAL CYCLONES Patrick S. Market and Katie Crandall Department of Soil, Environmental and Atmospheric Sciences University of Missouri-Columbia Columbia, Missouri Robert Rauber Department of Atmospheric Sciences University of Illinois at Urbana-Champaign Urbana, IL Abstract Precipitation in the cold sector of mid-latitude, extratropical cyclones has come under scrutiny recently, especially banded rain and snow that occurs poleward, and often upstream ( wraparound precipitation ), of the surface cyclone center (usually called the northwest quadrant ). The Profiling of Winter Storms (PLOWS) project was conducted during the winter months of early 2009, and again during the 2009-2010 winter season, to gather data on such storms. During this time, data from 138 high-resolution radiosonde flights were collected to establish, in part, the static stability conditions in which wraparound precipitation occurred. Of chief interest in this paper is the prevalence of conditions conducive to upright convection in the sampled storms. Indeed, all but one of the 17 sampled storms presented upright convection (verified by radar) in the wraparound region, so the static stability values reported herein are likely underestimates due, in part, to the unique path of each radiosonde balloon. Of the 17 storms that were sampled, 12 (71%) captured at least one sounding with elevated convective available potential energy (CAPE), while of the 138 individual soundings, only 52 (38%) had elevated CAPE. We may thus conclude that the majority of sampled cyclones revealed elevated CAPE, but it was often short-lived. Those soundings also revealed that the most unstable CAPE values appear about 3 hours prior to the onset of wraparound precipitation, but still had a median value of 77 J kg -1 at the time of onset. Corresponding Author: Dr. Patrick Market University of Missouri, SEAS Dept. 302 ABNR, Columbia, MO, 65211. E-mail: marketp@missouri.edu

Market, et al. 1. Introduction The Profiling of Winter Storms (PLOWS) project was conducted during the first few months of 2009, and again during the winter of 2009-2010, with the objective of understanding better the precipitation substructures in the northwest and warm frontal quadrants of continental extratropical cyclones. Among the topics to be addressed in the course of the PLOWS study are determining the instabilities and types of mesoscale forcing (e.g., moist symmetric instability, moist frontogenesis, gravity waves, and elevated upright convection) that control the generation and evolution of precipitation substructures. To that end, the University of Missouri participated in PLOWS through its Collection and Analysis of Upper Air Sounding Data (CAUSD) subproject, using a radiosonde system to gather high-resolution vertical sounding profile data (both spatial and temporal) on the targeted extratropical cyclones. Specifically, the subject of elevated upright convection is addressed with this analysis; other instability modes are not addressed in this paper. Over the last two decades, studies have suggested a spectrum of energy scenarios for the atmosphere that harbors upright elevated convection. The results from these studies range from ample available energy for upright convection in the warm season (Rochette and Moore 1996; Moore et al. 1998), to lesser amounts in the cold season (Moore et al. 1998; Market et al. 2006), to cases where, due most likely to sampling errors, no energy was present at all (Colman 1990; Market et al. 2006). The occurrence of potential instability is common in these cases and portends layer lifting to the point where the atmosphere becomes unstable to a convective-scale disturbance in that layer (Sherwood 2000). In this brief contribution, we examine the data as they pertain to the convective-scale perturbations. Herein, we examine the aggregate data that were collected during these radiosonde flights and what they reveal about the static stability of the atmosphere sampled in the northwest and warm frontal quadrants of continental extratropical cyclones. We pay particular attention to those parameters that indicated the likelihood of upright convection. In section 2, we examine the methods of data collection and analysis. In section 3, the data are analyzed, and in section 4, conclusions from those analyses are offered. 2. Data and Method During the months of February and March 2009, and again between November 2009 and March 2010, radiosonde data were collected on multiple storm systems that traversed the central United States (Table 1). As noted previously, the project focused on precipitation in the cold sector of mid-latitude, extratropical cyclones that occurs poleward and usually upstream ( wraparound precipitation ) of the surface cyclone center. This is the region of an extratropical cyclone (especially post-occlusion) that harbors the trough of warm air aloft, also known by the acronym trowal (Martin 1999); nine of the 12 PLOWS Intense Observing Periods (IOP) with robust wraparound precipitation signatures (storms denoted with asterisks in Table 1) were associated with occluded cyclones. Serial radiosonde ascents were flown from fixed locations every 2 or 3 hours to sample the target region of each cyclone. The data were quality controlled at the National Center for Atmospheric Research prior to analysis. A total of 148 of these ascents were examined for this paper, of which 10 were unused because they were lost, incomplete, or contained deep layers whose accuracy was suspect. Therefore, we had a collection of 138 ascents that were usable. Data were collected on pressure, temperature, humidity, wind speed and direction from each radiosonde ascent and plotted on skew-t log p diagrams for analysis of standard variables associated with large vertical parcel displacements (e.g., convection). Following Rochette et al. (1999), each level in the profile was evaluated by lifting the parcel representative of that level in the lowest 400 mb of the ascent in a search for the most unstable lifting parcel level (LPL). From that level, the lifting condensation level (LCL), level of free convection (LFC) and equilibrium level (EL) for the most unstable parcel were determined. The convective available potential energy (CAPE) and the convective inhibition (CIN) were also calculated for the most unstable parcel, also following Rochette et al. (1999). For each event, many radiosonde ascents were initiated before the wraparound precipitation began/ arrived at the surface launch site. We have separated ascents from each storm into groups of radiosondes flown before wraparound precipitation began/arrived, and after that time. This approach allows for a deeper understanding of the timing of stability changes in each of these storms. Yet, it is important to remember that each profile is dependent upon the path of the radiosonde balloon, some of which ascended through regions of precipitation; in convective regions, derived metrics (e.g., CAPE) may have been reduced. 3. Analysis We examine convective parameters in several different ways. First, we examine the aggregate results from those soundings with CAPE, particularly elevated CAPE. We then look at the time tendency of elevated CAPE with respect to the location of the radiosonde ascent within the 2 National Weather Digest

High-Resolution Rawinsonde Observations of the Cold Sector Precipitation Regions IOP Location Date Platform Elevated CAPE Wraparound Sampled 1 Joliet, IL 11 Feb 09 UMO Yes* Yes 2 Devalan, WI 18 Feb 09 UMO No Yes 3 Tomah, WI 26 Feb 09 NCAR No No 4 Davenport, IA 08 Mar 09 NCAR Yes* Yes 5 Manteno, IL 28 Mar 09 UMO Yes* Yes 7 Odessa, MO 16 Nov 09 UMO Yes* Yes 8 Ames, IA 24 Nov 09 UMO Yes* Yes 9 Amo, IN 02 Dec 09 UMO Yes* Yes 10 Clinton, IA 08 Dec 09 UMO Yes* Yes 13 Moulton, AL 17 Jan 10 UMO Yes* Yes 14 Whitewater, WI 24 Jan 10 UMO Yes* Yes 15 Vienna, IL 29 Jan 10 NCAR No No 17 Franklin, IN 05 Feb 10 NCAR No* Yes 18 Ft. Atkinson, WI 09 Feb 10 NCAR No Yes 19 Evansville, IN 15 Feb 10 NCAR Yes* Yes 21 Atlanta, IL 22 Feb 10 UMO Yes* Yes 24 Story City, IA 09 Mar 10 NCAR Yes No Table 1. A listing of the number of the PLOWS Intense Observing Period (IOP), location (city, state), date of the collected data, observing platform (UMO=University of Missouri radiosonde system; NCAR=the National Center for Atmospheric Research Mobile radiosonde system), presence of elevated CAPE (Yes / No; asterisks denote those storm systems which had a robust wraparound signature), and whether the wraparound region of a cyclone was sampled (Yes / No). sampled extratropical cyclone. Through these analyses, we reveal the likelihood of elevated convection and how long those episodes last. 3.1 Aggregate results We focus this analysis on the identification of those storms that were prone to upright convection resulting from the release of elevated conditional instability. Such environments are simple to diagnose, and their identification sets the stage for a more robust analysis (to appear in future papers) of the processes at work in generating banded precipitation. Similar work has been done previously (Market et al. 2006) for analyzing and comparing the stability regimes in thundering and nonthundering cold sector snow events, but the data samples used there were substantially smaller. Of the 138 radiosonde ascents in the PLOWS dataset that were usable, 81 (59%) revealed no CAPE for vertical parcel displacements. However, of the 17 storms that were sampled, 12 (71%) had at least one sounding with elevated convective available potential energy (CAPE). This distribution scatters a relatively small number of ascents over a relatively large number of cyclones. Therefore, the conditions suitable for upright convection manifest themselves in a majority of storm systems, although those conditions may not last very long. Indeed, 57 of the 138 usable sounding ascents revealed CAPE somewhere in the profile, including several that were based in the planetary boundary layer (PBL). Specifically, 5 of those 57 ascents with CAPE had no temperature inversion, indicating that the most unstable parcels originated from within the PBL. Therefore, the remaining 52 (38%) ascents that revealed CAPE, were harboring elevated CAPE representative of parcels above a temperature inversion and insulated from PBL processes. The pertinent values for the 52 ascents through layers conducive to elevated convection are summarized in Table 2. The most unstable parcel often originates, nearly saturated, around the 750-mb level (about 2250 m MSL), with an LCL a few tens of meters above that level, and an LFC a few tens of meters above the LCL. As such, convective inhibition values are often only a few J kg -1, if calculable at all. The median EL is 222 mb (about 2500 m) further above the LFC, and with a median most unstable CAPE of only 57 J kg -1, we have thus identified a layer where upright convection is likely, albeit often weak. Volume 36 Number 1 ~ August 2012 3

Market, et al. of these featured the surface cyclone center to the southeast of the radiosonde launch site. Those LCL (hpa) 557 930 755 ± 103 752 that did not were situated in an extratropical LFC (hpa) 551 936 752 ± 103 751 cyclone that had already begun to occlude. In EL (hpa) 124 935 525 ± 154 530 ensuing analyses we refer to the time when CAPE (J kg-1) 1 1000 127 ± 176 57 wraparound precipitation begins at the launch site as t=0. Thus, t = -6 hours is 6 hours before Table 2. Descriptive statistics (N = 52) for radiosonde ascents that wraparound precipitation starts, and t = +6 hours exhibited elevated convective available potential energy and were is 6 hours after wraparound precipitation starts. collected in the wraparound precipitation area northwest of transient, Figure 2 is a plot of the most unstable CAPE mid-latitude cyclone systems. Minimum, maximum, mean (and standard deviation), and median data are listed for the parcel with the most (J kg -1) as a function of time, centered on the unstable lifting condensation level (LCL; expressed in hpa), level of free period of transition to wraparound precipitation. convection (LFC; expressed in hpa), equilibrium level (EL; expressed in This analysis reveals a long tail of elevated CAPE hpa), and convective available potential energy (CAPE; J kg -1). leading up to the time of transition to wraparound precipitation (the solid vertical line in the middle of Fig. 3.2 Time tendencies 2). These values escalate rapidly around 3 hours prior -1 An effort was made to distinguish those radiosonde to the transition and remain relatively high (50-90 J kg ) ascents that were collected in the wraparound until t = 0 hours (when the most unstable CAPE still had -1 precipitation region of the target cyclones, as opposed a median value of 77 J kg ), after which time the values to those ascents collected elsewhere over the cold sector drop dramatically, becoming zero by t = +3 hours. This analysis reveals that, for those systems that (e.g., in warm frontal precipitation northeast of the surface harbor elevated CAPE, non-zero values may exist for as cyclone). An example of this distinction is shown in Fig. 1. As shown in Table 1, 14 cyclones had their wraparound long as 9 hours (if not longer) before the transition to precipitation regions sampled. Of those, 12 of the target wraparound precipitation. Beginning around 3 hours cyclones had a well-defined wraparound signature. Most prior to the transition time, CAPE values increase by a factor of four, in response to warming and moistening near the base and/or cooling and drying near the top of the conditionally unstable layer, most likely in response to the presence of the trowal air stream (Martin 1999). These data suggest that by three hours after the transition, convective overturning and/or system translation have eliminated or are in the process of eliminating the elevated CAPE in most events. Min Max Mean ±SD Median Fig. 1. Example analysis of a well-developed, transient, midlatitude cyclone with a well-defined wraparound precipitation region to the left / west of the heavy dark red line, valid at 0000 UTC 25 December 2009. Red triangle depicts typical storm-relative location of PLOWS equipment. Analyses are for a storm not sampled during PLOWS / CAUSD, and are meant for illustration only. The background image is radar reflectivity, and sea level pressure contours (every 4 hpa; black, solid) are from initial fields of the Rapid Update Cycle model. 4 National Weather Digest Fig 2. A plot of the median most unstable convective available potential energy (MUCAPE; J kg-1), based upon the most unstable parcel in a given thermodynamic profile, versus time (hours). The abscissa is broken into the period prior to the onset of wraparound precipitation (times < 0) and the period after wraparound precipitation. Median values are only show for those times when 5 values were available.

High-Resolution Rawinsonde Observations of the Cold Sector Precipitation Regions 4. Conclusions Analyses were presented of data from 138 radiosonde ascents through 17 winter storms over the central United States from the winters of 2008-2009 and 2009-2010. Of the 138 individual ascents, only 52 (38%) possessed elevated CAPE, which might seem to suggest that the environment conducive to elevated, upright convection is not that common. However, of the 17 storms that were sampled, a majority of them (71%) had at least one radiosonde ascent with elevated convective available potential energy (CAPE). Thus, the 52 ascents that possessed elevated CAPE were distributed fairly broadly across 12 of the 17 sampled storms. We may thus conclude that the majority of sampled cyclones revealed elevated CAPE, although it may have been short-lived. Statistical analysis of the LCL, LFC, EL, and CAPE of the most unstable parcel in each of the 52 ascents with elevated CAPE were also offered. Those values reveal a typical elevated layer in the mid-troposphere as nearly saturated, with a median base at around750 hpa, a depth of 2-3 km, and a CAPE value of 57 J kg -1, which translates into a theoretical maximum vertical velocity of 10.6 m s -1. These values tend to maximize at the time of, and during the several hours prior to, the transition to wraparound precipitation north and west of the surface cyclone center. These findings are important to the operational community, as they serve to highlight that the majority of transient, mid-latitude, extratropical cyclones possess an environment conducive to elevated upright convection. That environment is transient and often short-lived (at least from an Eulerian perspective), but it can support significant vertical motions over the cold sector of winter storms. This is a frequency much higher than many had previously thought. Moreover, given the existence of radar-verified elevated upright convection in 16 of the 17 storms, it is clear that this rawinsonde dataset alone, while important and useful, fails to account for all possible instability scenarios. References Colman, B. R., 1990: Thunderstorms above frontal surfaces in environments without positive CAPE. Part II: Organization and instability mechanisms. Mon. Wea. Rev., 118,1123 1144. Market, P. S., A. M. Oravetz, D. Gaede, E. Bookbinder, A. R. Lupo, C. J. Melick, L. L. Smith, R. S. Thomas, R. Redburn, B. P. Pettegrew, and A. E. Becker, 2006: Proximity soundings of thundersnow in the central United States. J. Geophys. Res., 111, D19208, doi:10.1029/2006jd007061 Martin, J. E., 1999: Quasigeostrophic forcing of ascent in the occluded sector of cyclones and the trowal airstream. Mon. Wea. Rev., 127, 70 88. Moore, J. T., A. C. Czarnetzki, and P. S. Market, 1998: Heavy precipitation associated with elevated thunderstorms formed in a convectively unstable layer aloft. Meteorol. Appl., 5, 373-384. Rochette, S. M., and J. T. Moore, 1996: Initiation of an elevated mesoscale convective system associated with heavy rainfall. Wea. Forecasting, 11, 443 457., J. T. Moore, and P. S. Market, 1999: The importance of parcel choice in elevated CAPE computations. Natl. Wea. Dig., 23(4), 20-32. Sherwood, S. C., 2000: On moist instability. Mon. Wea. Rev., 128, 4139 4142. Acknowledgments The authors would like to thank our two reviewers for their careful consideration of our work and for their comments, which have made the manuscript that much stronger. This work is supported by the National Science Foundation (NSF), Award No. ATM- 0021656. Any opinions, findings, conclusions or recommendations expressed herein are those of the authors and do not necessarily reflect the views of the NSF. Volume 36 Number 1 ~ August 2012 5

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