Soundings and Adiabatic Diagrams for Severe Weather Prediction and Analysis Review Atmospheric Soundings Plotted on Skew-T Log P Diagrams
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Comparison Between Observed Convective Cloud-Base Heights and Lifting Condensation Level for Two Different Lifted Parcels
AUGUST 2002 NOTES AND CORRESPONDENCE 885 Comparison between Observed Convective Cloud-Base Heights and Lifting Condensation Level for Two Different Lifted Parcels JEFFREY P. C RAVEN AND RYAN E. JEWELL NOAA/NWS/Storm Prediction Center, Norman, Oklahoma HAROLD E. BROOKS NOAA/National Severe Storms Laboratory, Norman, Oklahoma 6 January 2002 and 16 April 2002 ABSTRACT Approximately 400 Automated Surface Observing System (ASOS) observations of convective cloud-base heights at 2300 UTC were collected from April through August of 2001. These observations were compared with lifting condensation level (LCL) heights above ground level determined by 0000 UTC rawinsonde soundings from collocated upper-air sites. The LCL heights were calculated using both surface-based parcels (SBLCL) and mean-layer parcels (MLLCLÐusing mean temperature and dewpoint in lowest 100 hPa). The results show that the mean error for the MLLCL heights was substantially less than for SBLCL heights, with SBLCL heights consistently lower than observed cloud bases. These ®ndings suggest that the mean-layer parcel is likely more representative of the actual parcel associated with convective cloud development, which has implications for calculations of thermodynamic parameters such as convective available potential energy (CAPE) and convective inhibition. In addition, the median value of surface-based CAPE (SBCAPE) was more than 2 times that of the mean-layer CAPE (MLCAPE). Thus, caution is advised when considering surface-based thermodynamic indices, despite the assumed presence of a well-mixed afternoon boundary layer. 1. Introduction dry-adiabatic temperature pro®le (constant potential The lifting condensation level (LCL) has long been temperature in the mixed layer) and a moisture pro®le used to estimate boundary layer cloud heights (e.g., described by a constant mixing ratio. -
How Appropriate They Are/Will Be Using Future Satellite Data Sources?
Different Convective Indices - - - How appropriate they are/will be using future satellite data sources? Ralph A. Petersen1 1 Cooperative Institute for Meteorological Satellite Studies (CIMSS), University of Wisconsin – Madison, Madison, Wisconsin, USA Will additional input from Steve Weiss, NOAA/NWS/Storm Prediction Center ✓ Increasing the Utility / Value of real-time Satellite Sounder Products to fill gaps in their short-range forecasting processes Creating Temperature/Moisture Soundings from Infra-Red (IR) Satellite Observations A Conceptual Tutorial All level of the atmosphere is continually emit radiation toward space. Satellites observe the net amount reaching space. • Conceptually, we can think about the atmosphere being made up of many thin layers Start from the bottom and work up. 1 – The greatest amount of radiation is emitted from the earth’s surface 4 - Remember, Stefan’s Law: Emission ~ σTSfc 2 – Molecules of various gases in the lowest layer of the atmosphere absorb some of the radiation and then reemit it upward to space and back downward to the earth’s surface - Major absorbers are CO2 and H2O 4 - Emission again ~ σT , but TAtmosphere<TSfc - Amount of radiation decreases with altitude Creating Temperature/Moisture Soundings from Infra-Red (IR) Satellite Observations A Conceptual Tutorial All level of the atmosphere is continually emit radiation toward space. Satellites observe the net amount reaching space. • Conceptually, we can think about the atmosphere being made up of many thin layers Start from the bottom and work -
Atmospheric Instability Parameters Derived from Msg Seviri Observations
P3.33 ATMOSPHERIC INSTABILITY PARAMETERS DERIVED FROM MSG SEVIRI OBSERVATIONS Marianne König*, Stephen Tjemkes, Jochen Kerkmann EUMETSAT, Darmstadt, Germany 1. INTRODUCTION K-Index: Convective systems can develop in a thermo- (Tobs(850)–Tobs(500)) + TDobs(850) – (Tobs(700)–TDobs(700)) dynamically unstable atmosphere. Such systems may quickly reach high altitudes and can cause severe Lifted Index: storms. Meteorologists are thus especially interested to Tobs - Tlifted from surface at 500 hPa identify such storm potentials when the respective system is still in a preconvective state. A number of Maximum buoyancy: obs(max betw. surface and 850) obs(min betw. 700 and 300) instability indices have been defined to describe such Qe - Qe situations. Traditionally, these indices are taken from temperature and humidity soundings by radiosondes. As (T is temperature, TD is dewpoint temperature, and Qe radiosondes are only of very limited temporal and is equivalent potential temperature, numbers 850, 700, spatial resolution there is a demand for satellite-derived 300 indicate respective hPa level in the atmosphere) indices. The Meteorological Product Extraction Facility (MPEF) for the new European Meteosat Second and the precipitable water content as additionally Generation (MSG) satellite envisages the operational derived parameter. derivation of a number of instability indices from the brightness temperatures measured by certain SEVIRI 3. DESCRIPTION OF ALGORITHMS channels (Spinning Enhanced Visible and Infrared Imager, the radiometer onboard MSG). The traditional 3.1 The Physical Retrieval physical approach to this kind of retrieval problem is to infer the atmospheric profile via a constrained inversion An iterative solution to the inversion equation (e.g. and compute the indices then directly from the obtained Ma et al. -
Basic Features on a Skew-T Chart
Skew-T Analysis and Stability Indices to Diagnose Severe Thunderstorm Potential Mteor 417 – Iowa State University – Week 6 Bill Gallus Basic features on a skew-T chart Moist adiabat isotherm Mixing ratio line isobar Dry adiabat Parameters that can be determined on a skew-T chart • Mixing ratio (w)– read from dew point curve • Saturation mixing ratio (ws) – read from Temp curve • Rel. Humidity = w/ws More parameters • Vapor pressure (e) – go from dew point up an isotherm to 622mb and read off the mixing ratio (but treat it as mb instead of g/kg) • Saturation vapor pressure (es)– same as above but start at temperature instead of dew point • Wet Bulb Temperature (Tw)– lift air to saturation (take temperature up dry adiabat and dew point up mixing ratio line until they meet). Then go down a moist adiabat to the starting level • Wet Bulb Potential Temperature (θw) – same as Wet Bulb Temperature but keep descending moist adiabat to 1000 mb More parameters • Potential Temperature (θ) – go down dry adiabat from temperature to 1000 mb • Equivalent Temperature (TE) – lift air to saturation and keep lifting to upper troposphere where dry adiabats and moist adiabats become parallel. Then descend a dry adiabat to the starting level. • Equivalent Potential Temperature (θE) – same as above but descend to 1000 mb. Meaning of some parameters • Wet bulb temperature is the temperature air would be cooled to if if water was evaporated into it. Can be useful for forecasting rain/snow changeover if air is dry when precipitation starts as rain. Can also give -
P7.1 a Comparative Verification of Two “Cap” Indices in Forecasting Thunderstorms
P7.1 A COMPARATIVE VERIFICATION OF TWO “CAP” INDICES IN FORECASTING THUNDERSTORMS David L. Keller Headquarters Air Force Weather Agency, Offutt AFB, Nebraska 1. INTRODUCTION layer parcels are then sufficiently buoyant to rise to the Level of Free Convection (LFC), resulting in convection The forecasting of non-severe and severe and possibly thunderstorms. In many cases dynamic thunderstorms in the continental United States forcing such as low-level convergence, low-level warm (CONUS) for military customers is the responsibility of advection, or positive vorticity advection provide the Air Force Weather Agency (AFWA) CONUS Severe additional force to mechanically lift boundary layer Weather Operations (CONUS OPS), and of the Storm parcels through the inversion. Prediction Center (SPC) for the civilian government. In the morning hours, one of the biggest Severe weather is defined by both of these challenges in severe weather forecasting is to organizations as the occurrence of a tornado, hail determine not only if, but also where the cap will break larger than 19 mm, wind speed of 25.7 m/s, or wind later in the day. Model forecasts help determine future damage. These agencies produce ‘outlooks’ denoting soundings. Based on the model data, severe storm areas where non-severe and severe thunderstorms are indices can be calculated that help measure the expected. Outlooks are issued for the current day, for predicted dynamic forcing, instability, and the future ‘tomorrow’ and the day following. The ‘day 1’ forecast state of the capping inversion. is normally issued 3 to 5 times per day, the ‘day 2’ and One measure of the cap is the Convective ‘day 3’ forecasts less frequently. -
OBSERVATIONAL ANALYSIS of the PREDICTABILITY of MESOSCALE CONVECTIVE SYSTEMS by Israel L
National Science Foundation Graduate Fellowship DGE-0234615 and Grant ATM-0324324 OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS by Israel L. Jirak William R. Cotton, P.I. OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS by Israel L. Jirak Department of Atmospheric Science Colorado State University Fort Collins, Colorado 80523 Research Supported by National Science Foundation under a Graduate Fellowship DGE-0234615 and Grant ATM-0324324 October 27, 2006 Atmospheric Science Paper No. 778 ABSTRACT OBSERVATIONAL ANALYSIS OF THE PREDICTABILITY OF MESOSCALE CONVECTIVE SYSTEMS Mesoscale convective systems (MCSs) have a large influence on the weather over the central United States during the warm season by generating essential rainfall and severe weather. To gain insight into the predictability of these systems, the precursor environment of several hundred MCSs were thoroughly studied across the U.S. during the warm seasons of 1996-98. Surface analyses were used to identify triggering mechanisms for each system, and North American Regional Reanalyses (NARR) were used to examine dozens of parameters prior to MCS development. Statistical and composite analyses of these parameters were performed to extract valuable information about the environments in which MCSs form. Similarly, environments that are unable to support organized convective systems were also carefully investigated for comparison with MCS precursor environments. The analysis of these distinct environmental conditions led to the discovery of significant differences between environments that support MCS development and those that do not support convective organization. MCSs were most commonly initiated by frontal boundaries; however, such features that enhance convective initiation are often not sufficient for MCS development, as the environment needs to lend additional support for the development and organization oflong-lived convective systems. -
Thunderstorm Predictors and Their Forecast Skill for the Netherlands
Atmospheric Research 67–68 (2003) 273–299 www.elsevier.com/locate/atmos Thunderstorm predictors and their forecast skill for the Netherlands Alwin J. Haklander, Aarnout Van Delden* Institute for Marine and Atmospheric Sciences, Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands Accepted 28 March 2003 Abstract Thirty-two different thunderstorm predictors, derived from rawinsonde observations, have been evaluated specifically for the Netherlands. For each of the 32 thunderstorm predictors, forecast skill as a function of the chosen threshold was determined, based on at least 10280 six-hourly rawinsonde observations at De Bilt. Thunderstorm activity was monitored by the Arrival Time Difference (ATD) lightning detection and location system from the UK Met Office. Confidence was gained in the ATD data by comparing them with hourly surface observations (thunder heard) for 4015 six-hour time intervals and six different detection radii around De Bilt. As an aside, we found that a detection radius of 20 km (the distance up to which thunder can usually be heard) yielded an optimum in the correlation between the observation and the detection of lightning activity. The dichotomous predictand was chosen to be any detected lightning activity within 100 km from De Bilt during the 6 h following a rawinsonde observation. According to the comparison of ATD data with present weather data, 95.5% of the observed thunderstorms at De Bilt were also detected within 100 km. By using verification parameters such as the True Skill Statistic (TSS) and the Heidke Skill Score (Heidke), optimal thresholds and relative forecast skill for all thunderstorm predictors have been evaluated. -
The Sensitivity of Convective Initiation to the Lapse Rate of the Active Cloud-Bearing Layer
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Earth and Atmospheric Sciences, Department Papers in the Earth and Atmospheric Sciences of 2007 The Sensitivity of Convective Initiation to the Lapse Rate of the Active Cloud-Bearing Layer Adam L. Houston Dev Niyogi Follow this and additional works at: https://digitalcommons.unl.edu/geosciencefacpub Part of the Earth Sciences Commons This Article is brought to you for free and open access by the Earth and Atmospheric Sciences, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Papers in the Earth and Atmospheric Sciences by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. VOLUME 135 MONTHLY WEATHER REVIEW SEPTEMBER 2007 The Sensitivity of Convective Initiation to the Lapse Rate of the Active Cloud-Bearing Layer ADAM L. HOUSTON Department of Geosciences, University of Nebraska at Lincoln, Lincoln, Nebraska DEV NIYOGI Departments of Agronomy and Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana (Manuscript received 25 August 2006, in final form 8 December 2006) ABSTRACT Numerical experiments are conducted using an idealized cloud-resolving model to explore the sensitivity of deep convective initiation (DCI) to the lapse rate of the active cloud-bearing layer [ACBL; the atmo- spheric layer above the level of free convection (LFC)]. Clouds are initiated using a new technique that involves a preexisting airmass boundary initialized such that the (unrealistic) adjustment of the model state variables to the imposed boundary is disassociated from the simulation of convection. Reference state environments used in the experiment suite have identical mixed layer values of convective inhibition, CAPE, and LFC as well as identical profiles of relative humidity and wind. -
Association of Rainfall and Stability Index with Lightning Parameter Over the Indo-Gangetic Plains
American Journal of Climate Change, 2017, 6, 443-454 http://www.scirp.org/journal/ajcc ISSN Online: 2167-9509 ISSN Print: 2167-9495 Association of Rainfall and Stability Index with Lightning Parameter over the Indo-Gangetic Plains M. I. R. Tinmaker, M. Y. Aslam, D. M. Chate* Indian Institute of Tropical Meteorology, Pune, India How to cite this paper: Tinmaker, M.I.R., Abstract Aslam, M.Y. and Chate, D.M. (2017) Asso- ciation of Rainfall and Stability Index with The Lightning Imaging Sensor (LIS) based satellite lightning grid data for 10 year Lightning Parameter over the Indo-Gangetic period (1998-2007) were used to study the association of rainfall and stability in- Plains. American Journal of Climate Change, 6, 443-454. dex with lightning parameter over Indo-Gangetic plain (IGP) region. The spatial −2 −1 https://doi.org/10.4236/ajcc.2017.63023 variation of flash rate density (FRD) is found to be (40 fl·km ·yr ) higher over northern region of IGP as compare to that of eastern IGP region. The annual var- Received: July 24, 2017 iation of FRD exhibits bimodal distributions, while the precipitation rate shows Accepted: August 8, 2017 Published: August 11, 2017 unimodal distributions. The results show that the FRD peaked 2 months (pre- monsoon) in advance to the monsoon months where rainfall peak occurred due Copyright © 2017 by authors and to environmental lapse rates more than 7.0ºC/km during pre-monsoon which is Scientific Research Publishing Inc. evident from the temperature profile for correlation coefficient between temper- This work is licensed under the Creative Commons Attribution International ature (700 mb) and FRD with coefficient of 0.70, p ≤ 0.0001 during pre-monsoon. -
Short-Term Convective Mode Evolution Along Synoptic Boundaries
1430 WEATHER AND FORECASTING VOLUME 25 Short-Term Convective Mode Evolution along Synoptic Boundaries GREG L. DIAL,JONATHAN P. RACY, AND RICHARD L. THOMPSON NOAA/NWS/Storm Prediction Center, Norman, Oklahoma (Manuscript received 9 June 2009, in final form 22 March 2010) ABSTRACT This paper investigates the relationships between short-term convective mode evolution, the orientations of vertical shear and mean wind vectors with respect to the initiating synoptic boundary, the motion of the boundary, and the role of forcing for ascent. The dominant mode of storms (linear, mixed mode, and discrete) was noted 3 h after convective initiation along cold fronts, drylines, or prefrontal troughs. Various shear and mean wind vector orientations relative to the boundary were calculated near the time of initiation. Results indicate a statistical correlation between storm mode at 3 h, the normal components of cloud-layer and deep- layer shear vectors, the boundary-relative mean cloud-layer wind vector, and the type of initiating boundary. Thunderstorms, most of which were initially discrete, tended to evolve more quickly into lines or mixed modes when the normal components of the shear vectors and boundary-relative mean cloud-layer wind vectors were small. There was a tendency for storms to remain discrete for larger normal shear and mean wind components. Smaller normal components of mean cloud-layer wind were associated with a greater likelihood that storms would remain within the zone of linear forcing along the boundary for longer time periods, thereby increasing the potential for upscale linear growth. The residence time of storms along the boundary is also dependent on the speed of the boundary. -
Severe Weather
Volume 12 Number 2 SEVERE WEATHER AN ASSESSMENT OF THE NGM FOUR-LAYER LIFTED INDEX PROGNOSES OF EXTREME INSTABILITY Steven J. Weiss (1) National Weather Service National Severe Storms Forecast Center Kansas City, Missouri 64106 ABSTRACT The ability ofthe Nested Grid Model to predict conditions LFM NGM ofextreme instability is examined. Extreme instability, defined 7 LAYER 16 LAYER as the occurrence of lifted index values of -8°C or less, is ofien associated with warm season outbreaks of severe thunderstorms. Error. analysis of the 24 and 36-h model forecasts indicates that the prediction ofextreme instability is nearly always ove/forecast. In contrast, when conditions t (16) 54 of extreme instability actually occur, the model tends to unde/forecast the degree ofinstability. Thus, it is concluded that the NGM exhibits a vel}' high False Alarm Ratio and 50 ....... /@/////:......................... ............ .. a vel}' low Probability of Detection when conditions of extreme instability are considered. Changes in the NGM simulation of some physical pro cesses were implemented midway through the data period, (7) 67 (15) 61 and appear to have had a noticeable affect on the stability forecasts. The magnitude ofthe ove/forecast errors increased after the revised physics package was implemented. Fur ther, large ove/forecast errors were often coincident with 100 100 forecast precipitation maxima, and were occasionally coin ........................ _....... ································1 cident with precipitation " bulls-eyes." It is hypothesized that the revised convective adjustment procedure is a major contributor to the instability errors, primarily due to an 67 66 excessive low level latent heat release. (6) (14) 1. INTRODUCTION -- j 200 .................. ..................... 200 A basic requirement for the development of thunderstorms is (13) the presence of a moist, unstably stratified air mass (see Miller, (5) 67 70 2; Doswell, 3; McNulty, 4). -
Comparison of Convective Parameters Derived from ERA5 and MERRA-2 with Rawinsonde Data Over Europe and North America
15 APRIL 2021 T A S Z A R E K E T A L . 3211 Comparison of Convective Parameters Derived from ERA5 and MERRA-2 with Rawinsonde Data over Europe and North America a,b,c d e f b,g MATEUSZ TASZAREK, NATALIA PILGUJ, JOHN T. ALLEN, VICTOR GENSINI, HAROLD E. BROOKS, AND h,i PIOTR SZUSTER a Department of Meteorology and Climatology, Adam Mickiewicz University, Poznan, Poland b National Severe Storms Laboratory, Norman, Oklahoma c Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, Oklahoma d Department of Climatology and Atmosphere Protection, University of Wrocław, Wrocław, Poland e Central Michigan University, Mount Pleasant, Michigan f Department of Geographic and Atmospheric Sciences, Northern Illinois University, DeKalb, Illinois g School of Meteorology, University of Oklahoma, Norman, Oklahoma h Department of Computer Science, Cracow University of Technology, Krakow, Poland i AGH Cracow University of Science and Technology, Krakow, Poland (Manuscript received 25 June 2020, in final form 7 December 2020) ABSTRACT: In this study we compared 3.7 million rawinsonde observations from 232 stations over Europe and North America with proximal vertical profiles from ERA5 and MERRA-2 to examine how well reanalysis depicts observed convective parameters. Larger differences between soundings and reanalysis are found for thermodynamic theoretical parcel parameters, low-level lapse rates, and low-level wind shear. In contrast, reanalysis best represents temperature and moisture variables, midtropospheric lapse rates, and mean wind. Both reanalyses underestimate CAPE, low-level moisture, and wind shear, particularly when considering extreme values. Overestimation is observed for low-level lapse rates, mid- tropospheric moisture, and the level of free convection.