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Storm Data Publication
FEBRUARY 2008 VOLUME 50 SSTORMTORM DDATAATA NUMBER 2 AND UNUSUAL WEATHER PHENOMENA WITH LATE REPORTS AND CORRECTIONS NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION noaa NATIONAL ENVIRONMENTAL SATELLITE, DATA AND INFORMATION SERVICE NATIONAL CLIMATIC DATA CENTER, ASHEVILLE, NC Cover: This cover represents a few weather conditions such as snow, hurricanes, tornadoes, heavy rain and flooding that may occur in any given location any month of the year. (Photos courtesy of NCDC) TABLE OF CONTENTS Page Outstanding Storm of the Month …..…………….….........……..…………..…….…..…..... 4 Storm Data and Unusual Weather Phenomena ....…….…....…………...…...........…............ 5 Reference Notes .............……...........................……….........…..….…............................................ 278 STORM DATA (ISSN 0039-1972) National Climatic Data Center Editor: William Angel Assistant Editors: Stuart Hinson and Rhonda Herndon STORM DATA is prepared, and distributed by the National Climatic Data Center (NCDC), National Environmental Satellite, Data and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA). The Storm Data and Unusual Weather Phenomena narratives and Hurricane/Tropical Storm summaries are prepared by the National Weather Service. Monthly and annual statistics and summaries of tornado and lightning events re- sulting in deaths, injuries, and damage are compiled by the National Climatic Data Center and the National Weather Service’s (NWS) Storm Prediction Center. STORM DATA contains all confi rmed information on storms available to our staff at the time of publication. Late reports and corrections will be printed in each edition. Except for limited editing to correct grammatical errors, the data in Storm Data are published as received. Note: “None Reported” means that no severe weather occurred and “Not Received” means that no reports were received for this region at the time of printing. -
PRECIPITATION What Does a 60 Percent Chance of Precipitation Mean?
PRECIPITATION What does a 60 percent chance of precipitation mean? http://www.cbc.ca/news/canada/ottawa/canada-weather-forecast-no-50-per-cent-forecast-1.4206067 The probability of (PoP) does not mean • the percent of time precipitation will be observed over the area; or • the percentage of meteorologists who believe precipitation will fall! The most common definition among meteorologists is the probability that at least one one-hundredth inch of liquid-equivalent precipitation will fall in a single spot. Here’s a good way to grasp a PoP of 60 percent: If we had ten tomorrows with identical weather conditions, any given point would receive rain on six (60 percent) of those days. And rain would not fall on four of those days — on any given point. Remember: this PoP is a forecast for 10 potential tomorrows, not a forecast for the next 10 days! Although this may be confusing, weather forecasters have no problem thinking of tomorrow’s weather as a group of potential tomorrows. One thing you can take to the bank: as the PoP increases, precipitation grows more likely. In meteorology, precipitation is any product of the condensation of atmospheric water vapor that falls under gravity. So many types… Rain Sleet Drizzle Hail Snow Graupel Thundersnow Fog and mist are technically SUSPENSIONS and not precipitation SYMBOLS RAINSHOWERS are identified on weather maps as a dot over a triangle Heavier rain as a series of dots, more when rain is heavier Rain - and other forms of precipitation - occur when Basically… warm moist air cools and condensation occurs. -
Proximity Sounding Composites of Midwestern Thundersnow Events
P4.2 PROXIMITY SOUNDING COMPOSITES OF MIDWESTERN THUNDERSNOW EVENTS Patrick S. Market*,1, Angela M. Oravetz1, David Gaede2, Evan Bookbinder2, Brian Pettegrew1, and Rashida Thomas1 1Department of Atmospheric Science 2National Weather Service Forecast Office University of Missouri-Columbia Springfield, MO Columbia, MO 1. INTRODUCTION Sounding profiles of the atmosphere during thundersnow analysis of rawinsonde data. are examined. Horizontal composite fields (Market et al. This work is patterned after Curran and Pearson 2004, this volume) paint a vivid portrait of an active (1971); a reanalysis of their sounding profile is snowstorm, but fail to distinguish clearly a typical cyclone reproduced in Figure 1. Proximity soundings were found from one that harbors an electrified cloud and in 12 thundersnow events and are discussed and defined thundersnow. Proximity soundings were found in 12 presently. Four of the events occurred at the exact time thundersnow events and are defined and discussed and location of a sounding. Four of the events occurred presently. at the exact time of a sounding but were not at the exact These profiles add value to the horizontal composites location the sounding occurred; the location of produced previously, which revealed thundersnow events thundersnow was within 90 nautical miles (nmi; 166.68 to be occurring in otherwise unremarkable, snow bearing km) of the sounding station. The remaining four cases extratropical cyclones. Working on the assumption that occurred within 90 nmi of the sounding station and the some feature (instability) makes these events unique, and thundersnow report occurred in a window of zero to that convection resulting from instability is the source of three hours after the rawinsonde was released. -
…Top 10 Weather Events of 2012…
…Top 10 weather events of 2012… In terms of severe weather, 2012 started out fast and furious, and then petered out by late March. 1) By anyone’s measure, the tornado outbreak on the 2nd of March must qualify as our top event of 2012. The 49 mile long EF-4 tornado that tracked across southern Indiana became the first EF-4 in our forecast area since the northern Bullitt County tornado on May 28, 1996. Seven other tornadoes also developed on March 2, with 3 confirmed tornadoes in Trimble County alone. The image to the left shows two supercells following similar paths across southern Indiana. The first cell was producing an EF-4 tornado at this time. The second storm later brought softball sized hail and an EF-1 tornado just south of Henryville. Also, excessively large hail fell across both southern Indiana and south central Kentucky. Outside of several reports of softball-sized hail near Henryville, Indiana, associated with the second of two supercells that tracked over nearly the same path, our most damaging hailstorm developed across southwestern Adair County. This storm produced a hail swath more than 10 miles long, smashing the windshields of hundreds of vehicles before knocking out the skylights of a Walmart store in Columbia. The first picture, courtesy Simon Brewer of The Weather Channel, shows a large tornado in Washington County, IN. The image at left shows hail damage to a golf course near Henryville. 2) The Leap Day tornado outbreak on February 29 featured a squall line that spawned 6 tornadoes across central and south central Kentucky. -
Analysis of Thundersnow Storms Over Northern Colorado
DECEMBER 2015 K U M J I A N A N D D E I E R L I N G 1469 Analysis of Thundersnow Storms over Northern Colorado MATTHEW R. KUMJIAN Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania WIEBKE DEIERLING Research Applications Laboratory, National Center for Atmospheric Research,* Boulder, Colorado (Manuscript received 13 January 2015, in final form 12 August 2015) ABSTRACT Lightning flashes during snowstorms occur infrequently compared to warm-season convection. The rarity of such thundersnow events poses an additional hazard because the lightning is unexpected. Because cloud electrification in thundersnow storms leads to relatively few lightning discharges, studying thundersnow events may offer insights into mechanisms for charging and possible thresholds required for lightning dis- charges. Observations of four northern Colorado thundersnow events that occurred during the 2012/13 winter are presented. Four thundersnow events in one season strongly disagrees with previous climatologies that used surface reports, implying thundersnow may be more common than previously thought. Total lightning information from the Colorado Lightning Mapping Array and data from conterminous United States light- ning detection networks are examined to investigate the snowstorms’ electrical properties and to compare them to typical warm-season thunderstorms. Data from polarimetric WSR-88Ds near Denver, Colorado, and Cheyenne, Wyoming, are used to reveal the storms’ microphysical structure and determine operationally relevant signatures related to storm electrification. Most lightning occurred within convective cells containing graupel and pristine ice. However, one flash occurred in a stratiform snowband, apparently triggered by a tower. Depolarization streaks were observed in the radar data prior to the flash, indicating electric fields strong enough to orient pristine ice crystals. -
A Winter Forecasting Handbook Winter Storm Information That Is Useful to the Public
A Winter Forecasting Handbook Winter storm information that is useful to the public: 1) The time of onset of dangerous winter weather conditions 2) The time that dangerous winter weather conditions will abate 3) The type of winter weather to be expected: a) Snow b) Sleet c) Freezing rain d) Transitions between these three 7) The intensity of the precipitation 8) The total amount of precipitation that will accumulate 9) The temperatures during the storm (particularly if they are dangerously low) 7) The winds and wind chill temperature (particularly if winds cause blizzard conditions where visibility is reduced). 8) The uncertainty in the forecast. Some problems facing meteorologists: Winter precipitation occurs on the mesoscale The type and intensity of winter precipitation varies over short distances. Forecast products are not well tailored to winter Subtle features, such as variations in the wet bulb temperature, orography, urban heat islands, warm layers aloft, dry layers, small variations in cyclone track, surface temperature, and others all can influence the severity and character of a winter storm event. FORECASTING WINTER WEATHER Important factors: 1. Forcing a) Frontal forcing (at surface and aloft) b) Jetstream forcing c) Location where forcing will occur 2. Quantitative precipitation forecasts from models 3. Thermal structure where forcing and precipitation are expected 4. Moisture distribution in region where forcing and precipitation are expected. 5. Consideration of microphysical processes Forecasting winter precipitation in 0-48 hour time range: You must have a good understanding of the current state of the Atmosphere BEFORE you try to forecast a future state! 1. Examine current data to identify positions of cyclones and anticyclones and the location and types of fronts. -
Heat Transfer Model of a Rotary Compressor S
Purdue University Purdue e-Pubs International Compressor Engineering Conference School of Mechanical Engineering 1992 Heat Transfer Model of a Rotary Compressor S. K. Padhy General Electric Company Follow this and additional works at: https://docs.lib.purdue.edu/icec Padhy, S. K., "Heat Transfer Model of a Rotary Compressor" (1992). International Compressor Engineering Conference. Paper 935. https://docs.lib.purdue.edu/icec/935 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Complete proceedings may be acquired in print and on CD-ROM directly from the Ray W. Herrick Laboratories at https://engineering.purdue.edu/ Herrick/Events/orderlit.html HEAT TRANSFER MODEL OF A ROTARY COMPRESSOR Sisir K. Padhy General Electric C_ompany Appliance Park 5-2North, Louisville, KY 40225 ABSTRACT Energy improvements for a rotary compressor can be achieved in several ways such as: reduction of various electrical and mechanical losses, reduction of gas leakage, better lubrication, better surface cooling, reduction of suction gas heating and by improving other parameters. To have a ' better understanding analytical/numerical analysis is needed. Although various mechanical models are presented to understand the mechanical losses, dynamics, thermodynamics etc.; little work has been done to understand the compressor from a heat uansfer stand point In this paper a lumped heat transfer model for the rotary compressor is described. Various heat sources and heat sinks are analyzed and the temperature profile of the compressor is generated. A good agreement is found between theoretical and experimental results. NOMENCLATURE D, inner diameter D. -
Soaring Weather
Chapter 16 SOARING WEATHER While horse racing may be the "Sport of Kings," of the craft depends on the weather and the skill soaring may be considered the "King of Sports." of the pilot. Forward thrust comes from gliding Soaring bears the relationship to flying that sailing downward relative to the air the same as thrust bears to power boating. Soaring has made notable is developed in a power-off glide by a conven contributions to meteorology. For example, soar tional aircraft. Therefore, to gain or maintain ing pilots have probed thunderstorms and moun altitude, the soaring pilot must rely on upward tain waves with findings that have made flying motion of the air. safer for all pilots. However, soaring is primarily To a sailplane pilot, "lift" means the rate of recreational. climb he can achieve in an up-current, while "sink" A sailplane must have auxiliary power to be denotes his rate of descent in a downdraft or in come airborne such as a winch, a ground tow, or neutral air. "Zero sink" means that upward cur a tow by a powered aircraft. Once the sailcraft is rents are just strong enough to enable him to hold airborne and the tow cable released, performance altitude but not to climb. Sailplanes are highly 171 r efficient machines; a sink rate of a mere 2 feet per second. There is no point in trying to soar until second provides an airspeed of about 40 knots, and weather conditions favor vertical speeds greater a sink rate of 6 feet per second gives an airspeed than the minimum sink rate of the aircraft. -
* Corresponding Author Address: Mark A. Tew, National Weather Service, 1325 East-West Highway, Silver Spring, MD 20910; E-Mail: [email protected]
P1.13 IMPLEMENTATION OF A NEW WIND CHILL TEMPERATURE INDEX BY THE NATIONAL WEATHER SERVICE Mark A. Tew*1, G. Battel2, C. A. Nelson3 1National Weather Service, Office of Climate, Water and Weather Services, Silver Spring, MD 2Science Application International Corporation, under contract with National Weather Service, Silver Spring, MD 3Office of the Federal Coordinator for Meteorological Services and Supporting Research, Silver Spring, MD 1. INTRODUCTION group is called the Joint Action Group for Temperature Indices (JAG/TI) and is chaired by the NWS. The goal of The Wind Chill Temperature (WCT) is a term used to JAG/TI is to internationally upgrade and standardize the describe the rate of heat loss from the human body due to index for temperature extremes (e.g., Wind Chill Index). the combined effect of wind and low ambient air Standardization of the WCT Index among the temperature. The WCT represents the temperature the meteorological community is important, so that an body feels when it is exposed to the wind and cold. accurate and consistent measure is provided and public Prolonged exposure to low wind chill values can lead to safety is ensured. frostbite and hypothermia. The mission of the National After three workshops, the JAG/TI reached agreement Weather Service (NWS) is to provide forecast and on the development of the new WCT index, discussed a warnings for the protection of life and property, which process for scientific verification of the new formula, and includes the danger associated from extremely cold wind generated implementation plans (Nelson et al. 2001). chill temperatures. JAG/TI agreed to have two recognized wind chill experts, The NWS (1992) and the Meteorological Service of Mr. -
Investigation of Compressor Heat Dispersion Model Da Shi Shanghai Hitachi Electronic Appliances, China, People's Republic Of, [email protected]
Purdue University Purdue e-Pubs International Compressor Engineering Conference School of Mechanical Engineering 2014 Investigation Of Compressor Heat Dispersion Model Da Shi Shanghai Hitachi Electronic Appliances, China, People's Republic of, [email protected] Hong Tao Shanghai Hitachi Electronic Appliances, China, People's Republic of, [email protected] Min Yang Shanghai Hitachi Electronic Appliances, China, People's Republic of, [email protected] Follow this and additional works at: https://docs.lib.purdue.edu/icec Shi, Da; Tao, Hong; and Yang, Min, "Investigation Of Compressor Heat Dispersion Model" (2014). International Compressor Engineering Conference. Paper 2314. https://docs.lib.purdue.edu/icec/2314 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Complete proceedings may be acquired in print and on CD-ROM directly from the Ray W. Herrick Laboratories at https://engineering.purdue.edu/ Herrick/Events/orderlit.html 1336, Page 1 Investigation of Rotary Compressor Heat Dissipation Model Da SHI 1, Hong TAO2, Min YANG 3* 1SHEC, R&D Centre, Shanghai, China Contact Information (+8621-13564483789, [email protected]) 2SHEC, R&D Centre, Shanghai, China Contact Information (+8621-13501728323,[email protected]) 3SHEC, R&D Centre, Shanghai, China Contact Information (+8621-15900963244, [email protected]) * Corresponding Author ABSTRACT This paper presented a model of rotary compressor heat dissipation, which can be used to calculate heat dissipation under forced-convective/natural-convective and heat radiation mode respectively. The comparison, between calculated and experimental result for both constant speed compressor and variable speed one, shows that the average heat dissipation error is below 20% and discharge temperature deflection is less than 4 ℃。 1. -
Convective Heat Transfer Coefficient for Indoor Forced Convection Drying of Corn Kernels
Int. J. Mech. Eng. & Rob. Res. 2013 Ravinder Kumar Sahdev et al., 2013 ISSN 2278 – 0149 www.ijmerr.com Vol. 2, No. 4, October 2013 © 2013 IJMERR. All Rights Reserved Research Paper CONVECTIVE HEAT TRANSFER COEFFICIENT FOR INDOOR FORCED CONVECTION DRYING OF CORN KERNELS Ravinder Kumar Sahdev1*, Chinu Rathi Saroha1 and Mahesh Kumar2 *Corresponding Author: Ravinder Kumar Sahdev, [email protected] In this present research paper, an attempt has been made to determine the convective heat transfer coefficient of corn kernels under indoor forced convection drying mode. The experiments were conducted in the month of May 2013 in the climatic conditions of Rohtak (28° 40': 29 05'N 76° 13': 76° 51'E). Corn kernels were dried from initial moisture content 43% dry-basis. Experimental data was used to evaluate the values of constants (C and n) in Nusselt number expression by using linear regression analysis and consequently convective heat transfer coefficient was determined. The convective heat transfer coefficient for corn kernels was found to be 1.04 W/m2 °C. The experimental error in terms of percent uncertainty has also been calculated. Keywords: Corn kernels, Convective heat transfer coefficient, Indoor forced convection drying INTRODUCTION the interior of the corn kernels takes place due Corn is one of the main agricultural products to induced vapor pressure difference between in many countries. It is an important industrial the corn kernels and surrounding medium. raw material in the starch industry (Haros and The convective heat transfer coefficient is Surez, 1997; and Soponronnarit et al., 1997a). an important parameter in drying rate It is also a grain that can be eaten raw off the simulation since the temperature difference cob. -
Using Analogues to Simulate Intensity, Trajectory, and Dynamical Changes in Alberta Clippers with Global Climate Change
Using Analogues to Simulate Intensity, Trajectory, and Dynamical Changes in Alberta Clippers with Global Climate Change Item Type Thesis Authors Ward, Jamie L. Download date 07/10/2021 05:51:34 Link to Item http://hdl.handle.net/10484/5573 Using Analogues to Simulate Intensity, Trajectory, and Dynamical Changes in Alberta Clippers with Global Climate Change _______________________ A thesis Presented to The College of Graduate and Professional Studies Department of Earth and Environmental Systems Indiana State University Terre Haute, Indiana ______________________ In Partial Fulfillment of the Requirements for the Degree Master of Arts _______________________ by Jamie L. Ward August 2014 Jamie L. Ward, 2014 Keywords: Alberta Clippers, Storm Tracks, Lee Cyclogenesis, Global Climate Change, Atmospheric Analogues ii COMMITTEE MEMBERS Committee Chair: Gregory D. Bierly (Ph.D.) Professor of Geography Indiana State University Committee Member: Stephen Aldrich (Ph.D.) Assistant Professor of Geography Indiana State University Committee Member: Jennifer C. Latimer Associate Professor of Geology Indiana State University iii ABSTRACT Alberta Clippers are extratropical cyclones that form in the lee of the Canadian Rocky Mountains and traverse through the Great Plains and Midwest regions of the United States. With the imminent threat of global climate change and its effects on regional teleconnection patterns like El Niño-Southern Oscillation (ENSO), properties of Alberta Clipper could be altered as a result of changing atmospheric circulation patterns. Since the Great Plains and Midwest regions both support a large portion of the national population and agricultural activity, the effects of global climate change on Alberta Clippers could affect these areas in a variety of ways.