GPH 212 – Introduction to Meteorology I
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Avoiding the Risks of Deadly Lightning Strikes
Avoiding the Risks of Deadly Lightning Strikes Lightning is one of the most underrated severe weather hazards, yet ranks as the second-leading weather killer in the United States. More deadly than hurricanes or tornadoes, lightning strikes in America each year kill an average of 73 people and injure 300 others, according to NOAA's National Weather Service. How Lightning Works Lightning is caused by the attraction between positive and negative charges in the atmosphere, resulting in the buildup and discharge of electrical energy. This rapid heating and cooling of the air produces the shock wave that results in thunder. During a storm, raindrops can acquire extra electrons, which are negatively charged. These surplus electrons seek out a positive charge from the ground. As they flow from the clouds, they knock other electrons free, creating a conductive path. This path follows a zigzag shape that jumps between randomly distributed clumps of charged particles in the air. When the two charges connect, current surges through that jagged path, creating the lightning bolt. The Warning Signs High winds, rainfall, and a darkening cloud cover are the warning signs for possible cloud-to- ground lightning strikes. While many lightning casualties happen at the beginning of an approaching storm, more than 50 percent of lightning deaths occur after the thunderstorm has passed. The lightning threat diminishes after the last sound of thunder, but may persist for more than 30 minutes. When thunderstorms are in the area, but not overhead, the lightning threat can exist when skies are clear. Safety Precautions While nothing offers absolute safety from lightning, some actions can greatly reduce your risks. -
Weather Forecasting and to the Measuring Weather Data, Instruments, and Science That Make Forecasting Accurate
Delta Science Reader WWeathereather ForecastingForecasting Delta Science Readers are nonfiction student books that provide science background and support the experiences of hands-on activities. Every Delta Science Reader has three main sections: Think About . , People in Science, and Did You Know? Be sure to preview the reader Overview Chart on page 4, the reader itself, and the teaching suggestions on the following pages. This information will help you determine how to plan your schedule for reader selections and activity sessions. Reading for information is a key literacy skill. Use the following ideas as appropriate for your teaching style and the needs of your students. The After Reading section includes an assessment and writing links. VERVIEW Students will O understand the main factors that cause The Delta Science Reader Weather weather and produce weather changes Forecasting introduces students to the learn about the various instruments for world of weather forecasting and to the measuring weather data, instruments, and science that make forecasting accurate. Students will explore identify some of the elements of severe the six main weather factors—temperature, weather, and distinguish between weather air pressure, wind, humidity, precipitation, and climate and cloudiness—as well as discover the discuss the function of nonfiction text difference between weather and climate. elements such as the table of contents, The book also contains a biographical headings, tables, captions, and glossary sketch of tornado expert Tetsuya Theodore Fujita and information about two other kinds interpret photographs and graphics— of weather scientists: climatologists and diagrams, illustrations, weather maps— hurricane hunters. Students will find out to answer questions how a weather satellite works and how complete a KWL chart to track new different types of winds get their names. -
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. -
Exploring the MBL Cloud and Drizzle Microphysics Retrievals from Satellite, Surface and Aircraft
Exploring the MBL cloud and drizzle microphysics retrievals from satellite, surface and aircraft Xiquan Dong, University of Arizona Pat Minnis, SSAI 1. Briefly describe our 2. Can we utilize these surface newly developed retrieval retrievals to develop cloud (and/or drizzle) Re profile for algorithm using ARM radar- CERES team? lidar, and comparison with aircraft data. Re is a critical for radiation Wu et al. (2020), JGR and aerosol-cloud- precipitation interactions, as well as warm rain process. 1 A long-term Issue: CERES Re is too large, especially under drizzling MBL clouds A/C obs in N Atlantic • Cloud droplet size retrievals generally too high low clouds • Especially large for Re(1.6, 2.1 µm) CERES Re too large Worse for larger Re • Cloud heterogeneity plays a role, but drizzle may also be a factor - Can we understand the impact of drizzle on these NIR retrievals and their differences with Painemal et al. 2020 ground truth? A/C obs in thin Pacific Sc with drizzle CERES LWP high, tau low, due to large Re Which will lead to high SW transmission at the In thin drizzlers, Re is overestimated by 3 µm surface and less albedo at TOA Wood et al. JAS 2018 Painemal et al. JGR 2017 2 Profiles of MBL Cloud and Drizzle Microphysical Properties retrieved from Ground-based Observations and Validated by Aircraft data during ACE-ENA IOP 푫풎풂풙 ퟔ Radar reflectivity: 풁 = ퟎ 푫 푵풅푫 Challenge is to simultaneously retrieve both cloud and drizzle properties within an MBL cloud layer using radar-lidar observations because radar reflectivity depends on the sixth power of the particle size and can be highly weighted by a few large drizzle drops in a drizzling cloud 3 Wu et al. -
90001602.Pdf
Kobe University Repository : Kernel タイトル Prediction of human thermophysiological responses during shower Title bathing 著者 Abdul, Munir / Takada, Satoru / Matsushita, Takayuki / Kubo, Hiroko Author(s) 掲載誌・巻号・ページ International Journal of Biometeorology,54(2):165-178 Citation 刊行日 2010-03 Issue date 資源タイプ Journal Article / 学術雑誌論文 Resource Type 版区分 author Resource Version 権利 Rights DOI 10.1007/s00484-009-0265-9 JaLCDOI URL http://www.lib.kobe-u.ac.jp/handle_kernel/90001602 PDF issue: 2021-09-29 PREDICTION OF HUMAN THERMOPHYSIOLOGICAL RESPONSES DURING SHOWER BATHING Abdul Munir Department of Architecture, Faculty of Engineering, Syiah Kuala University, Darussalam, Banda Aceh 23111, Indonesia Satoru Takada Department of Architecture, Graduate School of Engineering, Kobe University, Rokko, Nada, Kobe 657-8501, Japan Phone: +81 78 803 6038 Fax: +81 78 803 6038 Email: [email protected] Takayuki Matsushita Department of Architecture, Graduate School of Engineering, Kobe University, Rokko, Nada, Kobe 657-8501, Japan Hiroko Kubo Department of Environmental Health, Faculty of Human Life and Environment, Nara Women's University, Kitauoya-nishimachi, Nara 630-8506, Japan ABSTRACT This study develops a model to predict the thermophysiological response of the human body during shower bathing. Despite the needs for the quantitative evaluation of human body response during bathing for thermal comfort and safety, the complicated mechanisms of heat transfer at the skin surface, especially 1 during shower bathing, have disturbed the development of adequate models. In this study, an initial modeling approach is proposed by developing a simple heat transfer model at the skin surface during shower bathing, applied to Stolwijk’s human thermal model. -
7.2 DEVELOPMENT of a METEOROLOGICAL PARTICLE SENSOR for the OBSERVATION of DRIZZLE Richard Lewis* National Weather Service St
7.2 DEVELOPMENT OF A METEOROLOGICAL PARTICLE SENSOR FOR THE OBSERVATION OF DRIZZLE Richard Lewis* National Weather Service Sterling, VA 20166 Stacy G. White Science Applications International Corporation Sterling, VA 20166 1. INTRODUCTION “Very small, numerous, and uniformly dispersed, water drops that may appear to float while The National Weather Service (NWS) and Federal following air currents. Unlike fog droplets, drizzle Aviation Administration (FAA) are jointly participating in a falls to the ground. It usually falls from low Product Improvement Program to improve the capabilities stratus clouds and is frequently accompanied by of the of Automated Surface Observing Systems (ASOS). low visibility and fog. The greatest challenge in the ASOS was to automate the visual elements of the observation; sky conditions, visibility In weather observations, drizzle is classified as and type of weather. Despite achieving some success in (a) “very light”, comprised of scattered drops that this area, limitations in the reporting capabilities of the do not completely wet an exposed surface, ASOS remain. As currently configured, the ASOS uses a regardless of duration; (b) “light,” the rate of fall Precipitation Identifier that can only identify two being from a trace to 0.25 mm per hour: (c) precipitation types, rain and snow. A goal of the Product “moderate,” the rate of fall being 0.25-0.50 mm Improvement program is to replace the current PI sensor per hour:(d) “heavy” the rate of fall being more with one that can identify additional precipitation types of than 0.5 mm per hour. When the precipitation importance to aviation. Highest priority is being given to equals or exceeds 1mm per hour, all or part of implementing capabilities of identifying ice pellets and the precipitation is usually rain; however, true drizzle. -
Electrified Shower Clouds and Their Contribution to the Global Electrical Circuit” (Liu Et
Contribution of Thunderstorms and Shower Clouds to the Global Electric Circuit Review of “Diurnal Variations of Global Thunderstorms and Electrified Shower Clouds and Their Contribution to the Global Electrical Circuit” (Liu et. al. 2010) Kyle Chudler ATS 780 • Two main discrepancies • Amplitude of thunder days is Thunder Days and Carnegie Curve ~2 times that of Carnegie curve • Phases misaligned • Thunder Day curve max: Africa (14 – 15 UTC) • Carnegie curve max: South America (19 – 20 UTC) • Possible explanations: • Ocean not accounted for • Non-lightning producing precipitation (electrified shower clouds) • Try to use TRMM data to get a Whipple (1929) handle on both of these Methods • TRMM Precipitation Features • Groups contiguous raining pixels into one feature • Can get statistics of individual PF’s (max echo height, precipitation volume, etc.) • Divide PFs into thunderstorms, electrified shower clouds, and non-electrified • Thunderstorm: PF’s with at least one lightning flash (LIS) • Electrified Shower Cloud: , T30dBZ < -10 C over land and T30dBZ < -17 C over ocean • Only look at PF’s > 75 km2 • 75% of population, but <10% of rainfall and rain area • Compare several diurnal cycles to Carnegie curve • Rainfall • Total, On/Off Land, Thunderstorm vs Electrified Shower • Total Lightning • Contrast amplitude and phases of cycles • More PFs over Ocean (81%) than land (19%) • Thunderstorms • ~1/200 PFs • 25% of rainfall • Electrified Shower Clouds • ~1/200 PFs • 15% of rainfall Non-electrified Rainfall Dominates Ocean Diurnal Rainfall vs. Carnegie Curve • Total rainfall (black line) has similar phase, smaller amplitude • Includes ocean, which has weaker diurnal signal • Best match is land rainfall • 60% of land rainfall is from electrified storms/showers • Best amplitude match of all cycles Diurnal Rainfall vs. -
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. -
Literature Review and Scientific Synthesis on the Efficacy of Winter Orographic Cloud Seeding
Statement on the Application of Winter Orographic Cloud Seeding For Water Supply and Energy Production Literature Review and Scientific Synthesis on the Efficacy of Winter Orographic Cloud Seeding A Report to the U.S. Bureau of Reclamation January 2015 Prepared by David W. Reynolds CIRES Boulder, Co 1 Technical Memorandum This information is distributed solely for the purpose of pre-dissemination peer review under applicable information quality guidelines. It has not been formally disseminated by the Bureau of Reclamation. It does not represent and should not be construed to represent Reclamation’s determination or policy. As such, the findings and conclusions in this report are those of the author and do not necessarily represent the views of Reclamation. 2 Statement on the Application of Winter Orographic Cloud Seeding For Water Supply and Energy Production 1.0 Introduction ........................................................................................................................ 5 1.1. Introduction to Winter Orographic Cloud Seeding .......................................................... 5 1.2 Purpose of this Study........................................................................................................ 5 1.3 Relevance and Need for a Reassessment of the Role of Winter Orographic Cloud Seeding to Enhance Water Supplies in the West ........................................................................ 6 1.4 NRC 2003 Report on Critical Issues in Weather Modification – Critical Issues Concerning Winter Orographic -
Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique
Remote Sens. 2015, 7, 1758-1776; doi:10.3390/rs70201758 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique Carolien Toté 1,*, Domingos Patricio 2, Hendrik Boogaard 3, Raymond van der Wijngaart 3, Elena Tarnavsky 4 and Chris Funk 5 1 Flemish Institute for Technological Research (VITO), Remote Sensing Unit, Boeretang 200, 2400 Mol, Belgium 2 Instituto Nacional de Meteorologia (INAM), Rua de Mukumbura 164, C.P. 256, Maputo, Mozambique; E-Mail: [email protected] 3 Alterra, Wageningen University, PO Box 47, 3708PB Wageningen, The Netherlands; E-Mails: [email protected] (H.B.); [email protected] (R.W.) 4 Department of Meteorology, University of Reading, Earley Gate, PO Box 243, Reading RG6 6BB, UK; E-Mail: [email protected] 5 United States Geological Survey/Earth Resources Observation and Science (EROS) Center and the Climate Hazard Group, Geography Department, University of California Santa Barbara, Santa Barbara, CA 93106, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +32-14-336844; Fax: +32-14-322795. Academic Editor: George P. Petropoulos and Prasad S. Thenkabail Received: 8 August 2014 / Accepted: 29 January 2015 / Published: 5 February 2015 Abstract: Satellite derived rainfall products are useful for drought and flood early warning and overcome the problem of sparse, unevenly distributed and erratic rain gauge observations, provided their accuracy is well known. Mozambique is highly vulnerable to extreme weather events such as major droughts and floods and thus, an understanding of the strengths and weaknesses of different rainfall products is valuable. -
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418 BULLETIN AMERICAN METEOROLOGICAL SOCIETY Forecasting Summertime Shower Activity at Grand Junction, Colorado WOODROW W. DICKEY U. S. Weather Bureau ABSTRACT Due to the lack of a dense network of reporting stations in the Grand Junction, Colorado area and the inadequate representation of shower activity by observations of rain at a single rain gage, certain arbitrary criteria were set up to define a "shower" day at Grand Junction. Relationships of a number of meteorological variables to shower activity were determined and the four variables which showed the strongest relationships were combined graphically to form an objective forecast aid for determining the probability of shower activity at Grand Junction during the 18-hour period 1130MST to 0530MST. Tests on independent data confirm the relationship found in the developmental data. INTRODUCTION accuracy equal to those that have been issued in the past. HIS study was initiated with the objec- tive of providing one of a number of DEFINITION OF A SHOWER DAY AT objective aids for forecasting various T GRAND JUNCTION weather elements in the Grand Junction, Colorado area. Specifically it was aimed at forecasting Summertime shower activity even in a rela- July and August shower activity during the pe- tively small area is not adequately represented by riod 1130MST to 0530MST the following morn- observation of rain at a single rain gage. Lack- ing, the forecast to be based on data available no ing a dense network of reporting stations in the later than 0530MST of the forecast morning. Grand Junction area, an attempt was made to Since the aid was to be used for the generalized obtain a more representative picture of shower weather forecast which is normally released to activity by inspecting the remarks entered on the the public, no attempt was made to pinpoint the WBAN Form 1130's and setting up certain arbi- trary criteria for deciding if the day were a forecast with respect to time, and a deliberate "shower day" or not.