Thunderstorms Teachers Guide
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3. Electrical Structure of Thunderstorm Clouds
3. Electrical Structure of Thunderstorm Clouds 1 Cloud Charge Structure and Mechanisms of Cloud Electrification An isolated thundercloud in the central New Mexico, with rudimentary indication of how electric charge is thought to be distributed and around the thundercloud, as inferred from the remote and in situ observations. Adapted from Krehbiel (1986). 2 2 Cloud Charge Structure and Mechanisms of Cloud Electrification A vertical tripole representing the idealized gross charge structure of a thundercloud. The negative screening layer charges at the cloud top and the positive corona space charge produced at ground are ignored here. 3 3 Cloud Charge Structure and Mechanisms of Cloud Electrification E = 2 E (−)cos( 90o−α) Q H = 2 2 3/2 2πεo()H + r sinα = k Q = const R2 ( ) Method of images for finding the electric field due to a negative point charge above a perfectly conducting ground at a field point located at the ground surface. 4 4 Cloud Charge Structure and Mechanisms of Cloud Electrification The electric field at ground due to the vertical tripole, labeled “Total”, as a function of the distance from the axis of the tripole. Also shown are the contributions to the total electric field from the three individual charges of the tripole. An upward directed electric field is defined as positive (according to the physics sign convention). 5 5 Cloud Charge Structure and Mechanisms of Cloud Electrification Electric Field Change Due to Negative Cloud-to-Ground Discharge Electric Field Change Due to a Cloud Discharge Electric Field Change, kV/m Change, Electric Field Electric Field Change, kV/m Change, Electric Field Distance, km Distance, km Electric field change at ground, due to the Electric field change at ground, due to the total removal of the negative charge of the total removal of the negative and upper vertical tripole via a cloud-to-ground positive charges of the vertical tripole via a discharge, as a function of distance from cloud discharge, as a function of distance from the axis of the tripole. -
Weather Charts Natural History Museum of Utah – Nature Unleashed Stefan Brems
Weather Charts Natural History Museum of Utah – Nature Unleashed Stefan Brems Across the world, many different charts of different formats are used by different governments. These charts can be anything from a simple prognostic chart, used to convey weather forecasts in a simple to read visual manner to the much more complex Wind and Temperature charts used by meteorologists and pilots to determine current and forecast weather conditions at high altitudes. When used properly these charts can be the key to accurately determining the weather conditions in the near future. This Write-Up will provide a brief introduction to several common types of charts. Prognostic Charts To the untrained eye, this chart looks like a strange piece of modern art that an angry mathematician scribbled numbers on. However, this chart is an extremely important resource when evaluating the movement of weather fronts and pressure areas. Fronts Depicted on the chart are weather front combined into four categories; Warm Fronts, Cold Fronts, Stationary Fronts and Occluded Fronts. Warm fronts are depicted by red line with red semi-circles covering one edge. The front movement is indicated by the direction the semi- circles are pointing. The front follows the Semi-Circles. Since the example above has the semi-circles on the top, the front would be indicated as moving up. Cold fronts are depicted as a blue line with blue triangles along one side. Like warm fronts, the direction in which the blue triangles are pointing dictates the direction of the cold front. Stationary fronts are frontal systems which have stalled and are no longer moving. -
Climatic Information of Western Sahel F
Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Clim. Past Discuss., 10, 3877–3900, 2014 www.clim-past-discuss.net/10/3877/2014/ doi:10.5194/cpd-10-3877-2014 CPD © Author(s) 2014. CC Attribution 3.0 License. 10, 3877–3900, 2014 This discussion paper is/has been under review for the journal Climate of the Past (CP). Climatic information Please refer to the corresponding final paper in CP if available. of Western Sahel V. Millán and Climatic information of Western Sahel F. S. Rodrigo (1535–1793 AD) in original documentary sources Title Page Abstract Introduction V. Millán and F. S. Rodrigo Conclusions References Department of Applied Physics, University of Almería, Carretera de San Urbano, s/n, 04120, Almería, Spain Tables Figures Received: 11 September 2014 – Accepted: 12 September 2014 – Published: 26 September J I 2014 Correspondence to: F. S. Rodrigo ([email protected]) J I Published by Copernicus Publications on behalf of the European Geosciences Union. Back Close Full Screen / Esc Printer-friendly Version Interactive Discussion 3877 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract CPD The Sahel is the semi-arid transition zone between arid Sahara and humid tropical Africa, extending approximately 10–20◦ N from Mauritania in the West to Sudan in the 10, 3877–3900, 2014 East. The African continent, one of the most vulnerable regions to climate change, 5 is subject to frequent droughts and famine. One climate challenge research is to iso- Climatic information late those aspects of climate variability that are natural from those that are related of Western Sahel to human influences. -
Chapter 7.0 – Determining Wind Direction Section 7.1 Overview Of
Chapter 7.0 – Determining Wind Direction Section 7.1 Overview of Wind Direction The wind direction is a measure or indication of where the air movement originated from. The wind direction can be measured through the use of a wind sock, wind vane, or a light object attached to a pole and string (example: A ping pong ball attached to a string which is tied to a stick). Wind direction is generally reported in either Azimuth degrees or Cardinal direction. Azimuth uses a circle with the northern most position indicating 0 degrees. The Cardinal direction system gives an Azimuth degree value a name. For example, 180 degrees is South(S) and 270 degrees is West (W) (See Figure 18 - A basic compass rose). Figure 18 - A basic compass rose Section 7.2 Overview of the homemade Wind Vane The wind vane used in this design was a homemade wind vane using a miniature absolute magnetic shaft encoder. The encoder chosen for use was the MA3 produced by US Digital. The purpose for choosing this specific encoder in regards to this design was that the MA3 met four (4) critical objectives. First, the MA3 was the correct size for the application. Second, the MA3 uses an analog output of 0 volts to 5 volts with respect to the current positions (See Figure 19 – MA3 Output behaviour) Figure 19 – MA3 Output behaviour Third, the MA3 uses a 5 volt input. This was a major consideration when choosing an encoder as a 5 volt input allowed for a more simple integration. Fourth, and final, the MA3 met the requirements of being able to function in an adverse environment, having an operational temperature of -40 ºC to +125 ºC. -
Extratropical Cyclones and Anticyclones
© Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION Courtesy of Jeff Schmaltz, the MODIS Rapid Response Team at NASA GSFC/NASA Extratropical Cyclones 10 and Anticyclones CHAPTER OUTLINE INTRODUCTION A TIME AND PLACE OF TRAGEDY A LiFE CYCLE OF GROWTH AND DEATH DAY 1: BIRTH OF AN EXTRATROPICAL CYCLONE ■■ Typical Extratropical Cyclone Paths DaY 2: WiTH THE FI TZ ■■ Portrait of the Cyclone as a Young Adult ■■ Cyclones and Fronts: On the Ground ■■ Cyclones and Fronts: In the Sky ■■ Back with the Fitz: A Fateful Course Correction ■■ Cyclones and Jet Streams 298 9781284027372_CH10_0298.indd 298 8/10/13 5:00 PM © Jones & Bartlett Learning, LLC. NOT FOR SALE OR DISTRIBUTION Introduction 299 DaY 3: THE MaTURE CYCLONE ■■ Bittersweet Badge of Adulthood: The Occlusion Process ■■ Hurricane West Wind ■■ One of the Worst . ■■ “Nosedive” DaY 4 (AND BEYOND): DEATH ■■ The Cyclone ■■ The Fitzgerald ■■ The Sailors THE EXTRATROPICAL ANTICYCLONE HIGH PRESSURE, HiGH HEAT: THE DEADLY EUROPEAN HEAT WaVE OF 2003 PUTTING IT ALL TOGETHER ■■ Summary ■■ Key Terms ■■ Review Questions ■■ Observation Activities AFTER COMPLETING THIS CHAPTER, YOU SHOULD BE ABLE TO: • Describe the different life-cycle stages in the Norwegian model of the extratropical cyclone, identifying the stages when the cyclone possesses cold, warm, and occluded fronts and life-threatening conditions • Explain the relationship between a surface cyclone and winds at the jet-stream level and how the two interact to intensify the cyclone • Differentiate between extratropical cyclones and anticyclones in terms of their birthplaces, life cycles, relationships to air masses and jet-stream winds, threats to life and property, and their appearance on satellite images INTRODUCTION What do you see in the diagram to the right: a vase or two faces? This classic psychology experiment exploits our amazing ability to recognize visual patterns. -
NWS Unified Surface Analysis Manual
Unified Surface Analysis Manual Weather Prediction Center Ocean Prediction Center National Hurricane Center Honolulu Forecast Office November 21, 2013 Table of Contents Chapter 1: Surface Analysis – Its History at the Analysis Centers…………….3 Chapter 2: Datasets available for creation of the Unified Analysis………...…..5 Chapter 3: The Unified Surface Analysis and related features.……….……….19 Chapter 4: Creation/Merging of the Unified Surface Analysis………….……..24 Chapter 5: Bibliography………………………………………………….…….30 Appendix A: Unified Graphics Legend showing Ocean Center symbols.….…33 2 Chapter 1: Surface Analysis – Its History at the Analysis Centers 1. INTRODUCTION Since 1942, surface analyses produced by several different offices within the U.S. Weather Bureau (USWB) and the National Oceanic and Atmospheric Administration’s (NOAA’s) National Weather Service (NWS) were generally based on the Norwegian Cyclone Model (Bjerknes 1919) over land, and in recent decades, the Shapiro-Keyser Model over the mid-latitudes of the ocean. The graphic below shows a typical evolution according to both models of cyclone development. Conceptual models of cyclone evolution showing lower-tropospheric (e.g., 850-hPa) geopotential height and fronts (top), and lower-tropospheric potential temperature (bottom). (a) Norwegian cyclone model: (I) incipient frontal cyclone, (II) and (III) narrowing warm sector, (IV) occlusion; (b) Shapiro–Keyser cyclone model: (I) incipient frontal cyclone, (II) frontal fracture, (III) frontal T-bone and bent-back front, (IV) frontal T-bone and warm seclusion. Panel (b) is adapted from Shapiro and Keyser (1990) , their FIG. 10.27 ) to enhance the zonal elongation of the cyclone and fronts and to reflect the continued existence of the frontal T-bone in stage IV. -
December 2013
Oklahoma Monthly Climate Summary DECEMBER 2013 A frigid and sometimes icy December seemed a fitting way to 1.53 inches, about a half-inch below normal, to rank as the close out the boisterous weather of 2013. Preliminary data from 59th wettest December on record. That total is possibly an the Oklahoma Mesonet ranked the month as the 17th coolest underestimate due to the frozen precipitation, although the December on record at nearly 4 degrees below normal. Records moisture pattern across various parts of the state was quite of this type for Oklahoma date back to 1895. The statewide clear. Far southeastern Oklahoma received from 3-5 inches average temperature as recorded by the Mesonet was 35.2 during the month while western areas of the state received degrees. As chilly as it seemed, however, that mark provided less than a half-inch, in general. little threat to 1983’s record cold of 25.8 degrees, but also far cooler than 2012’s 42.1 degrees. There were two significant The cold December propelled 2013’s statewide average winter storms during December, each creating headaches for annual temperature to a mark of 58.9 degrees, 0.8 degrees travelers and power utility companies. The first storm struck on below normal and the 27th coolest calendar year on record for December 5-6 in two separate waves and brought freezing rain, the state. That mark stands in stark contrast to 2012’s record sleet and snow across the state. Significant snow totals of 5-6 warm year of 63.1 degrees. -
Impact of Cloud Analysis on Numerical Weather Prediction in the Galician Region of Spain
Impact of Cloud Analysis on Numerical Weather Prediction in the Galician Region of Spain M. J. SOUTO, C. F. BALSEIRO AND V. P…REZ-MU—UZURI Group of Nonlinear Physics, Faculty of Physics, University of Santiago de Compostela, Santiago de Compostela, Spain Ming Xue University of Oklahoma, School of Meteorology, and CAPS Oklahoma, USA Keith BREWSTER Center for Analysis and Prediction of Storms, Oklahoma, USA April, 2001 Revised December, 2001 Corresponding author address: Dra. M. J. Souto, Group of Nonlinear Physics Faculty of Physics, University of Santiago de Compostela E-15706, Santiago de Compostela, Spain e-mail: [email protected] ABSTRACT The Advanced Regional Prediction System (ARPS) is applied to operational numerical weather forecast in Galicia, northwest Spain. A 72-hour forecast at a 10-km horizontal resolution is produced dta for the region. Located on the northwest coast of Spain and influenced by the Atlantic weather systems, Galicia has a high percentage (almost 50%) of rainy days per year. For these reasons, the precipitation processes and the initialization of moisture and cloud fields are very important. Even though the ARPS model has a sophisticated data analysis system (ADAS) that includes a 3D cloud analysis package, due to operational constraint, our current forecast starts from 12-hour forecast of the NCEP AVN model. Still, procedures from the ADAS cloud analysis are being used to construct the cloud fields based on AVN data, and then applied to initialize the microphysical variables in ARPS. Comparisons of the ARPS predictions with local observations show that ARPS can predict quite well both the daily total precipitation and its spatial distribution. -
ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARY
ESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere. -
Surface Station Model (U.S.)
Surface Station Model (U.S.) Notes: Pressure Leading 10 or 9 is not plotted for surface pressure Greater than 500 = 950 to 999 mb Less than 500 = 1000 to 1050 mb 988 Æ 998.8 mb 200 Æ 1020.0 mb Sky Cover, Weather Symbols on a Surface Station Model Wind Speed How to read: Half barb = 5 knots Full barb = 10 knots Flag = 50 knots 1 knot = 1 nautical mile per hour = 1.15 mph = 65 knots The direction of the Wind direction barb reflects which way the wind is coming from NORTHERLY From the north 360° 270° 90° 180° WESTERLY EASTERLY From the west From the east SOUTHERLY From the south Four types of fronts COLD FRONT: Cold air overtakes warm air. B to C WARM FRONT: Warm air overtakes cold air. C to D OCCLUDED FRONT: Cold air catches up to the warm front. C to Low pressure center STATIONARY FRONT: No movement of air masses. A to B Fronts and Extratropical Cyclones Feb. 24, 2007 Case In mid-latitudes, fronts are part of the structure of extratropical cyclones. Extratropical cyclones form because of the horizontal temperature gradient and are part of the general circulation—helping to transport energy from equator to pole. Type of weather and air masses in relation to fronts: Feb. 24, 2007 case mPmP cPcP mTmT Characteristics of a front 1. Sharp temperature changes over a short distance 2. Changes in moisture content 3. Wind shifts 4. A lowering of surface pressure, or pressure trough 5. Clouds and precipitation We’ll see how these characteristics manifest themselves for fronts in North America using the example from Feb. -
You Are a Meterologist!
YOU ARE A METEROLOGIST! ★A meteorologist is a scientist who studies the atmosphere to forecast weather in a given area. ASSIGNMENT: You have been hired by the Weather Channel as a meteorologist to forecast weather in the United States. Since the Weather Channel provides forecasts for all over the country, your first assignment with them is to forecast four different areas of the United States using your knowledge about air masses and fronts. TASK: 1.) Examine the map of the United States and locate the four cities named on your data table. (Use an atlas to help you find these places.) 2.) After locating the cities, identify and describe the fronts heading towards each city and the air mass that follows it. (Use your reference sheet to help recall types of air mass: continental polar, continental tropical, maritime polar, or maritime tropical.) Record this information in the data table. 3.) For each city, predict how the incoming front will change the weather (temperature, air pressure, storms in that area.) Record your thinking in the data table. 4.) Select one city and write a paragraph about the anticipated weather for that area. Be sure to include data from the table to explain your thinking and forecast. DATA TABLE-FORECASTING WEATHER IN THE UNITED STATES INCOMING INCOMING CITY, STATE FRONT AIR MASS EXPLAIN HOW THIS FRONT MIGHT CHANGE THE IN THE UNITED (Warm Front How do you know? WEATHER AT THIS AREA? STATES or Cold Front) (What’s your evidence from the map?) TEMPERATURE POSSIBLE WEATHER St. Louis, Missouri El Paso, Texas Atlanta, Georgia Minneapolis Minnesota ★MAKE AN INFERENCE: Locate Boston, Massachusetts. -
Migration and Climate Change
Migration and Climate Change No. 31 The opinions expressed in the report are those of the authors and do not necessarily reflect the views of the International Organization for Migration (IOM). The designations employed and the presentation of material throughout the report do not imply the expression of any opinion whatsoever on the part of IOM concerning the legal status of any country, territory, city or area, or of its authorities, or concerning its frontiers or boundaries. _______________ IOM is committed to the principle that humane and orderly migration benefits migrants and society. As an intergovernmental organization, IOM acts with its partners in the international community to: assist in meeting the operational challenges of migration; advance understanding of migration issues; encourage social and economic development through migration; and uphold the human dignity and well-being of migrants. _______________ Publisher: International Organization for Migration 17 route des Morillons 1211 Geneva 19 Switzerland Tel: +41.22.717 91 11 Fax: +41.22.798 61 50 E-mail: [email protected] Internet: http://www.iom.int Copy Editor: Ilse Pinto-Dobernig _______________ ISSN 1607-338X © 2008 International Organization for Migration (IOM) _______________ All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise without the prior written permission of the publisher. 11_08 Migration and Climate Change1 Prepared for IOM by Oli Brown2 International Organization for Migration Geneva CONTENTS Abbreviations 5 Acknowledgements 7 Executive Summary 9 1. Introduction 11 A growing crisis 11 200 million climate migrants by 2050? 11 A complex, unpredictable relationship 12 Refugee or migrant? 1 2.