Botswana Environment Statistics: Natural Disasters Digest 2015
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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. -
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. -
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. -
Government Gazette
REPUBLIC OF BOTSWANA GOVERNMENT GAZETTE Vol. XV, No. 56 GABORONE 2nd September, 1977. CONTENTS Page Acting Appointment - Chief Justice — G.N. No. 491 of 1977 ................................................................ 706 Acting Appointment*- Minister of Finance and Development Planning — G.N. No. 492 of 1977......... 706 Bank of Botswana - Acting Appointment - Deputy Governor — G.N. No. 493 of 1977 ...................... 706 Revocation of Appointment - Permanent Secretary, Ministry of Agriculture — G.N. No. 494 of 1977 707 Acting Appointment - Permanent.Secretary, Ministry of Agriculture — G.N. No. 495 of 1977 .......... 707 Board of Management - Appointment of Representatives — G.N. No. 496 of 1977 ............................ 707 Notices of Authorization of Change of Name — G.N. No. 497 of 1977 ......................................................................................................................... 708 G.N. No. 498 of 1977 ......................................................................................................................... 708 G.N. No. 499 of 1977 ......................................................................................................................... 708 G.N. No. 500 of 1977 ..................... .................................................................................................. 709 Applications for Authorization of Change of Name — G.N. No. 501 of 1977 ........................................................................................................................ -
Severe Weather Forecasting Tip Sheet: WFO Louisville
Severe Weather Forecasting Tip Sheet: WFO Louisville Vertical Wind Shear & SRH Tornadic Supercells 0-6 km bulk shear > 40 kts – supercells Unstable warm sector air mass, with well-defined warm and cold fronts (i.e., strong extratropical cyclone) 0-6 km bulk shear 20-35 kts – organized multicells Strong mid and upper-level jet observed to dive southward into upper-level shortwave trough, then 0-6 km bulk shear < 10-20 kts – disorganized multicells rapidly exit the trough and cross into the warm sector air mass. 0-8 km bulk shear > 52 kts – long-lived supercells Pronounced upper-level divergence occurs on the nose and exit region of the jet. 0-3 km bulk shear > 30-40 kts – bowing thunderstorms A low-level jet forms in response to upper-level jet, which increases northward flux of moisture. SRH Intense northwest-southwest upper-level flow/strong southerly low-level flow creates a wind profile which 0-3 km SRH > 150 m2 s-2 = updraft rotation becomes more likely 2 -2 is very conducive for supercell development. Storms often exhibit rapid development along cold front, 0-3 km SRH > 300-400 m s = rotating updrafts and supercell development likely dryline, or pre-frontal convergence axis, and then move east into warm sector. BOTH 2 -2 Most intense tornadic supercells often occur in close proximity to where upper-level jet intersects low- 0-6 km shear < 35 kts with 0-3 km SRH > 150 m s – brief rotation but not persistent level jet, although tornadic supercells can occur north and south of upper jet as well. -
Severe Thunderstorm Safety
Severe Thunderstorm Safety Thunderstorms are dangerous because they include lightning, high winds, and heavy rain that can cause flash floods. Remember, it is a severe thunderstorm that produces a tornado. By definition, a thunderstorm is a rain shower that contains lightning. A typical storm is usually 15 miles in diameter lasting an average of 30 to 60 minutes. Every thunderstorm produces lightning, which usually kills more people each year than tornadoes. A severe thunderstorm is a thunderstorm that contains large hail, 1 inch in diameter or larger, and/or damaging straight-line winds of 58 mph or greater (50 nautical mph). Rain cooled air descending from a severe thunderstorms can move at speeds in excess of 100 mph. This is what is called “straight-line” wind gusts. There were 12 injuries from thunderstorm wind gusts in Missouri in 2014, with only 5 injuries from tornadoes. A downburst is a sudden out-rush of this wind. Strong downbursts can produce extensive damage which is often similar to damage produced by a small tornado. A downburst can easily overturn a mobile home, tear roofs off houses and topple trees. Severe thunderstorms can produce hail the size of a quarter (1 inch) or larger. Quarter- size hail can cause significant damage to cars, roofs, and can break windows. Softball- size hail can fall at speeds faster than 100 mph. Thunderstorm Safety Avoid traveling in a severe thunderstorm – either pull over or delay your travel plans. When a severe thunderstorm threatens, follow the same safety rules you do if a tornado threatens. Go to a basement if available. -
Botswana Semiology Research Centre Project Seismic Stations In
BOTSWANA SEISMOLOGICAL NETWORK ( BSN) STATIONS 19°0'0"E 20°0'0"E 21°0'0"E 22°0'0"E 23°0'0"E 24°0'0"E 25°0'0"E 26°0'0"E 27°0'0"E 28°0'0"E 29°0'0"E 30°0'0"E 1 S 7 " ° 0 0 ' ' 0 0 ° " 7 S 1 KSANE Kasane ! !Kazungula Kasane Forest ReserveLeshomo 1 S Ngoma Bridge ! 8 " ! ° 0 0 ' # !Mabele * . MasuzweSatau ! ! ' 0 ! ! Litaba 0 ° Liamb!ezi Xamshiko Musukub!ili Ivuvwe " 8 ! ! ! !Seriba Kasane Forest Reserve Extension S 1 !Shishikola Siabisso ! ! Ka!taba Safari Camp ! Kachikau ! ! ! ! ! ! Chobe Forest Reserve ! !! ! Karee ! ! ! ! ! Safari Camp Dibejam!a ! ! !! ! ! ! ! X!!AUD! M Kazuma Forest Reserve ! ShongoshongoDugamchaRwelyeHau!xa Marunga Xhauga Safari Camp ! !SLIND Chobe National Park ! Kudixama Diniva Xumoxu Xanekwa Savute ! Mah!orameno! ! ! ! Safari Camp ! Maikaelelo Foreset Reserve Do!betsha ! ! Dibebe Tjiponga Ncamaser!e Hamandozi ! Quecha ! Duma BTLPN ! #Kwiima XanekobaSepupa Khw!a CHOBE DISTRICT *! !! ! Manga !! Mampi ! ! ! Kangara # ! * Gunitsuga!Njova Wazemi ! ! G!unitsuga ! Wazemi !Seronga! !Kaborothoa ! 1 S Sibuyu Forest Reserve 9 " Njou # ° 0 * ! 0 ' !Nxaunxau Esha 12 ' 0 Zara ! ! 0 ° ! ! ! " 9 ! S 1 ! Mababe Quru!be ! ! Esha 1GMARE Xorotsaa ! Gumare ! ! Thale CheracherahaQNGWA ! ! GcangwaKaruwe Danega ! ! Gqose ! DobeQabi *# ! ! ! ! Bate !Mahito Qubi !Mahopa ! Nokaneng # ! Mochabana Shukumukwa * ! ! Nxabe NGAMILAND DISTRICT Sorob!e ! XurueeHabu Sakapane Nxai National Nark !! ! Sepako Caecae 2 ! ! S 0 " Konde Ncwima ° 0 ! MAUN 0 ' ! ! ' 0 Ntabi Tshokatshaa ! 0 ° ! " 0 PHDHD Maposa Mmanxotai S Kaore ! ! Maitengwe 2 ! Tsau Segoro -
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. -
Massachusetts Tropical Cyclone Profile August 2021
Commonwealth of Massachusetts Tropical Cyclone Profile August 2021 Commonwealth of Massachusetts Tropical Cyclone Profile Description Tropical cyclones, a general term for tropical storms and hurricanes, are low pressure systems that usually form over the tropics. These storms are referred to as “cyclones” due to their rotation. Tropical cyclones are among the most powerful and destructive meteorological systems on earth. Their destructive phenomena include storm surge, high winds, heavy rain, tornadoes, and rip currents. As tropical storms move inland, they can cause severe flooding, downed trees and power lines, and structural damage. Once a tropical cyclone no longer has tropical characteristics, it is then classified as a post-tropical system. The National Hurricane Center (NHC) has classified four stages of tropical cyclones: • Tropical Depression: A tropical cyclone with maximum sustained winds of 38 mph (33 knots) or less. • Tropical Storm: A tropical cyclone with maximum sustained winds of 39 to 73 mph (34 to 63 knots). • Hurricane: A tropical cyclone with maximum sustained winds of 74 mph (64 knots) or higher. • Major Hurricane: A tropical cyclone with maximum sustained winds of 111 mph (96 knots) or higher, corresponding to a Category 3, 4 or 5 on the Saffir-Simpson Hurricane Wind Scale. Primary Hazards Storm Surge and Storm Tide Storm surge is an abnormal rise of water generated by a storm, over and above the predicted astronomical tide. Storm surge and large waves produced by hurricanes pose the greatest threat to life and property along the coast. They also pose a significant risk for drowning. Storm tide is the total water level rise during a storm due to the combination of storm surge and the astronomical tide. -
Kgatleng SUB District
Kgatleng SUB District VOL 5.0 KGATLENG SUB DISTRICT Population and Housing Census 2011 Selected Indicators for Villages and Localities ii i Population and Housing Census 2011 [ Selected indicators ] Kgatleng Sub District Population and Housing Census 2011 [Selected Indicators] Kgatleng Sub District 3 Table of Contents Kgatleng Sub District Population And Housing Census 2011: Selected Indicators For Villages And Localities Preface 3 VOL 5,0 1.0 Background and Commentary 6 1.1 Background to the Report 6 Published by 1.2 Importance of the Report 6 STATISTICS BOTSWANA Private Bag 0024, Gaborone 2.0 Population Distribution 6 Phone: (267)3671300, 3.0 Population Age Structure 6 Fax: (267) 3952201 Email: [email protected] 3.1 The Youth 7 Website: www.cso.gov.bw/cso 3.2 The Elderly 7 4.0 Annual Growth Rate 7 5.0 Household Size 7 COPYRIGHT RESERVED 6.0 Marital Status 8 7.0 Religion 8 Extracts may be published if source is duly acknowledged 8.0 Disability 9 9.0 Employment and Unemployment 9 10.0 Literacy 10 ISBN: 978-99968-429-7-9 11.0 Orphan-hood 10 12.0 Access to Drinking Water and Sanitation 10 12.1 Access to Portable Water 10 12.2 Access to Sanitation 11 13.0 Energy 11 13.1 Source of Fuel for Heating 11 13.2 Source of Fuel for Lighting 12 13.3 Source of Fuel for Cooking 12 14.0 Projected Population 2011 – 2026 13 Annexes 14 iii Population and Housing Census 2011 [ Selected indicators ] Kgatleng Sub District Population and Housing Census 2011 [Selected Indicators] Kgatleng Sub District 1 FIGURE 1: MAP OF KATLENG DISTRICT Preface This report follows our strategic resolve to disaggregate the 2011 Population and Housing Census report, and many of our statistical outputs, to cater for specific data needs of users. -
E-Government and Democracy in Botswana: Observational and Experimental Evidence on the Effects of E-Government Usage on Political Attitudes
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Bante, Jana et al. Working Paper E-government and democracy in Botswana: Observational and experimental evidence on the effects of e-government usage on political attitudes Discussion Paper, No. 16/2021 Provided in Cooperation with: German Development Institute / Deutsches Institut für Entwicklungspolitik (DIE), Bonn Suggested Citation: Bante, Jana et al. (2021) : E-government and democracy in Botswana: Observational and experimental evidence on the effects of e-government usage on political attitudes, Discussion Paper, No. 16/2021, ISBN 978-3-96021-153-2, Deutsches Institut für Entwicklungspolitik (DIE), Bonn, http://dx.doi.org/10.23661/dp16.2021 This Version is available at: http://hdl.handle.net/10419/234177 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. -
2A.1 FOG and THUNDERSTORM FORECASTING in MELBOURNE, AUSTRALIA Harvey Stern* Bureau of Meteorology, Melbourne, Vic., Australia
2A.1 FOG AND THUNDERSTORM FORECASTING IN MELBOURNE, AUSTRALIA Harvey Stern* Bureau of Meteorology, Melbourne, Vic., Australia 1. INTRODUCTION Although a lift in the CSI did not occur in every single instance when the verification data was analysed with A twelve-month "real-time" trial of a methodology all lead times taken separately, a lift occurred in most utilised to generate Day-1 to Day-7 forecasts, by instances. The exceptions were in the cases of Day-1 mechanically integrating judgmental (human) and and Day-2 forecasts of fog, where the CSIs were automated predictions, was conducted between 20 substantially below corresponding CSIs for the human August 2005 and 19 August 2006. After 365 days, the (official) forecasts. trial revealed that, overall, the various components (rainfall amount, sensible weather, minimum These forecasts are worthy of comment. The inability temperature, and maximum temperature) of (of the combining process) to improve on the Day-1 Melbourne forecasts so generated explained 41.3% and Day-2 official forecasts of fog may very well be a variance of the weather, 7.9% more variance than the consequence of the effort that the forecasting 33.4% variance explained by the human (official) personnel of the Victorian Regional Office (and others) forecasts alone (Stern, 2007a, 2007b). have invested over the years into short term fog and low cloud forecasting at Melbourne Airport (Goodhead, The trial continues and the purpose of the current 1978; Keith, 1978; Stern and Parkyn, 1998, 1999, paper is to report on its performance at predicting fog 2000, 2001; Newham, 2004, Weymouth et al, 2007; and thunderstorms between August 2005 and June Newham et al, 2007), most recently using a Bayesian 2007, a period of almost two years.