A Climate Trend Analysis of Senegal
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Road Travel Report: Senegal
ROAD TRAVEL REPORT: SENEGAL KNOW BEFORE YOU GO… Road crashes are the greatest danger to travelers in Dakar, especially at night. Traffic seems chaotic to many U.S. drivers, especially in Dakar. Driving defensively is strongly recommended. Be alert for cyclists, motorcyclists, pedestrians, livestock and animal-drawn carts in both urban and rural areas. The government is gradually upgrading existing roads and constructing new roads. Road crashes are one of the leading causes of injury and An average of 9,600 road crashes involving injury to death in Senegal. persons occur annually, almost half of which take place in urban areas. There are 42.7 fatalities per 10,000 vehicles in Senegal, compared to 1.9 in the United States and 1.4 in the United Kingdom. ROAD REALITIES DRIVER BEHAVIORS There are 15,000 km of roads in Senegal, of which 4, Drivers often drive aggressively, speed, tailgate, make 555 km are paved. About 28% of paved roads are in fair unexpected maneuvers, disregard road markings and to good condition. pass recklessly even in the face of oncoming traffic. Most roads are two-lane, narrow and lack shoulders. Many drivers do not obey road signs, traffic signals, or Paved roads linking major cities are generally in fair to other traffic rules. good condition for daytime travel. Night travel is risky Drivers commonly try to fit two or more lanes of traffic due to inadequate lighting, variable road conditions and into one lane. the many pedestrians and non-motorized vehicles sharing the roads. Drivers commonly drive on wider sidewalks. Be alert for motorcyclists and moped riders on narrow Secondary roads may be in poor condition, especially sidewalks. -
Improving Lightning and Precipitation Prediction of Severe Convection Using of the Lightning Initiation Locations
PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE Improving Lightning and Precipitation Prediction of Severe 10.1002/2017JD027340 Convection Using Lightning Data Assimilation Key Points: With NCAR WRF-RTFDDA • A lightning data assimilation method was developed Haoliang Wang1,2, Yubao Liu2, William Y. Y. Cheng2, Tianliang Zhao1, Mei Xu2, Yuewei Liu2, Si Shen2, • Demonstrate a method to retrieve the 3 3 graupel fields of convective clouds Kristin M. Calhoun , and Alexandre O. Fierro using total lightning data 1 • The lightning data assimilation Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information method improves the lightning and Science and Technology, Nanjing, China, 2National Center for Atmospheric Research, Boulder, CO, USA, 3Cooperative convective precipitation short-term Institute for Mesoscale Meteorological Studies (CIMMS), NOAA/National Severe Storms Laboratory, University of Oklahoma forecasts (OU), Norman, OK, USA Abstract In this study, a lightning data assimilation (LDA) scheme was developed and implemented in the Correspondence to: Y. Liu, National Center for Atmospheric Research Weather Research and Forecasting-Real-Time Four-Dimensional [email protected] Data Assimilation system. In this LDA method, graupel mixing ratio (qg) is retrieved from observed total lightning. To retrieve qg on model grid boxes, column-integrated graupel mass is first calculated using an Citation: observation-based linear formula between graupel mass and total lightning rate. Then the graupel mass is Wang, H., Liu, Y., Cheng, W. Y. Y., Zhao, distributed vertically according to the empirical qg vertical profiles constructed from model simulations. … T., Xu, M., Liu, Y., Fierro, A. O. (2017). Finally, a horizontal spread method is utilized to consider the existence of graupel in the adjacent regions Improving lightning and precipitation prediction of severe convection using of the lightning initiation locations. -
Teranga Development Strategy
TERANGA DEVELOPMENT STRATEGY FEBRUARY 2014 PREPARED BY TABLE OF CONTENTS 1.0 INTRODUCTION 4 1.1 PURPOSE OF THE TDS 5 1.2 OUR PRIORITY OUTCOMES 7 1.3 OUR FOCUS AREA 8 1.4 MYTHODOLOGY 10 1.5 DOCUMENT STRUCTURE 14 2.0 OUR MINE OPERATION 15 2.1 THE SABODALA GOLD OPERATION 16 2.2 OUR FUTURE GROWTH 18 3.0 UNDERSTANDING OUR REGION 20 3.1 INTRODUCTION 21 3.2 GOVERNANCE 22 3.3 DEVELOPMENT PLANNING 27 3.4 AGRICULTURE AND LIVELIHOOD 31 3.5 EDUCATION 38 3.6 ENERGY AND INFRASTRUCTURE 46 3.7 TRANSPORTATION INFRASTRUCTURE 50 3.8 HEALTH, SAFETY AND SECURITY 53 3.9 WATER INFRASTRUCTURE 66 3.10 SANITATION INFRASTRUCTURE 70 3.11 HOUSING 72 3.12 ENVIRONMENT AND CONSERVATION 74 4.0 OUR VISION FOR OUR ROLE IN THE REGION 79 5.0 A SPATIAL STRUCTURE TO SUPPORT REGIONAL DEVELOPMENT 81 5.1 INTRODUCTION 82 5.2 THE GOLD DISTRICT CONCEPTUAL SPATIAL PLAN 87 2 6.0 OUR ACTIONS 92 6.1 INTRODUCTION 93 6.2 JOBS AND PEOPLE DEVELOPMENT 94 6.3 LAND ACQUISITION 102 6.4 PROCUREMENT 106 6.5 HEALTH, SAFETY AND SECURITY 110 6.6 MINE-RELATED INFRASTRUCTURE 116 6.7 WORKER HOUSING 119 6.8 COMMUNITY RELATIONS 121 6.9 MINE CLOSURE AND REHABILITATION 125 6.10 FINANCIAL PAYMENTS AND INVESTMENTS 129 LIST OF ACRONYMS 143 TERANGA DEVELOPMENT STRATEGY 3 SECTION 1 INTRODUCTION 4 1.1 PURPOSE OF THE TDS As the first gold mine in Senegal, Teranga has a unique opportunity to set the industry standard for socially responsible mining in the country. -
Analysis of Lightning and Precipitation Activities in Three Severe Convective Events Based on Doppler Radar and Microwave Radiometer Over the Central China Region
atmosphere Article Analysis of Lightning and Precipitation Activities in Three Severe Convective Events Based on Doppler Radar and Microwave Radiometer over the Central China Region Jing Sun 1, Jian Chai 2, Liang Leng 1,* and Guirong Xu 1 1 Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China; [email protected] (J.S.); [email protected] (G.X.) 2 Hubei Lightning Protecting Center, Wuhan 430074, China; [email protected] * Correspondence: [email protected]; Tel.: +86-27-8180-4905 Received: 27 March 2019; Accepted: 23 May 2019; Published: 1 June 2019 Abstract: Hubei Province Region (HPR), located in Central China, is a concentrated area of severe convective weather. Three severe convective processes occurred in HPR were selected, namely 14–15 May 2015 (Case 1), 6–7 July 2013 (Case 2), and 11–12 September 2014 (Case 3). In order to investigate the differences between the three cases, the temporal and spatial distribution characteristics of cloud–ground lightning (CG) flashes and precipitation, the distribution of radar parameters, and the evolution of cloud environment characteristics (including water vapor (VD), liquid water content (LWC), relative humidity (RH), and temperature) were compared and analyzed by using the data of lightning locator, S-band Doppler radar, ground-based microwave radiometer (MWR), and automatic weather stations (AWS) in this study. The results showed that 80% of the CG flashes had an inverse correlation with the spatial distribution of heavy rainfall, 28.6% of positive CG (+CG) flashes occurred at the center of precipitation (>30 mm), and the percentage was higher than that of negative CG ( CG) − flashes (13%). -
Weather & Climate
Weather & Climate July 2018 “Weather is what you get; Climate is what you expect.” Weather consists of the short-term (minutes to days) variations in the atmosphere. Weather is expressed in terms of temperature, humidity, precipitation, cloudiness, visibility and wind. Climate is the slowly varying aspect of the atmosphere-hydrosphere-land surface system. It is typically characterized in terms of averages of specific states of the atmosphere, ocean, and land, including variables such as temperature (land, ocean, and atmosphere), salinity (oceans), soil moisture (land), wind speed and direction (atmosphere), and current strength and direction (oceans). Example of Weather vs. Climate The actual observed temperatures on any given day are considered weather, whereas long-term averages based on observed temperatures are considered climate. For example, climate averages provide estimates of the maximum and minimum temperatures typical of a given location primarily based on analysis of historical data. Consider the evolution of daily average temperature near Washington DC (40N, 77.5W). The black line is the climatological average for the period 1979-1995. The actual daily temperatures (weather) for 1 January to 31 December 2009 are superposed, with red indicating warmer-than-average and blue indicating cooler-than-average conditions. Departures from the average are generally largest during winter and smallest during summer at this location. Weather Forecasts and Climate Predictions / Projections Weather forecasts are assessments of the future state of the atmosphere with respect to conditions such as precipitation, clouds, temperature, humidity and winds. Climate predictions are usually expressed in probabilistic terms (e.g. probability of warmer or wetter than average conditions) for periods such as weeks, months or seasons. -
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. -
I. Project Context and Development Objectives ...5
Document of The World Bank FOR OFFICIAL USE ONLY Public Disclosure Authorized Report No: ICR00005096 IMPLEMENTATION COMPLETION AND RESULTS REPORT IDA-47370; IDA-57310 ON CREDITS Public Disclosure Authorized IN THE AMOUNT OF SDR 71.9 MILLION (US$105 MILLION EQUIVALENT) TO THE REPUBLIC OF SENEGAL Public Disclosure Authorized FOR A SENEGAL: TRANSPORT AND URBAN MOBILITY PROJECT June 17, 2020 Transport Global Practice Africa Region Public Disclosure Authorized This document has a restricted distribution and may be used by recipients only in the performance of their official duties. Its contents may not otherwise be disclosed without World Bank authorization. CURRENCY EQUIVALENTS (Exchange Rate Effective April 30, 2020) Currency Unit = CFA Francs ( XO F) XOF 603= US$1 US$ 1.37= SDR 1 FISCAL YEAR July 1 – June 30 ABBREVIATIONS AND ACRONYMS AFTU Urban Transport Financing Association (Association de Financement des Transports Urbains) AGEROUTE Road Management Agency (Agence des Travaux et de Gestion des Routes) AF Additional Financing BRT Bus Rapid Transit CAS Country Assistance Strategy CEREEQ Experimental Research Centre for Equipment Studies CETUD Dakar Urban Transport Council (Conseil Exécutif des Transports Urbains de Dakar) CGQA Air Quality Management Center CPF Country Partnership Framework CPS Country Partnership Strategy DDD Dakar Mass Transit Company (Dakar-Dem-Dik) DGI Infrastructure General Directorate DR Directorate of Roads (Direction des Routes) DTR Directorate of Road Transports (Direction des Transports Routiers) DTT Directorate -
Cloud and Precipitation Radars
Sponsored by the U.S. Department of Energy Office of Science, the Atmospheric Radiation Measurement (ARM) Climate Research Facility maintains heavily ARM Radar Data instrumented fixed and mobile field sites that measure clouds, aerosols, Radar data is inherently complex. ARM radars are developed, operated, and overseen by engineers, scientists, radiation, and precipitation. data analysts, and technicians to ensure common goals of quality, characterization, calibration, data Data from these sites are used by availability, and utility of radars. scientists to improve the computer models that simulate Earth’s climate system. Storage Process Data Post- Data Cloud and Management processing Products Precipitation Radars Mentors Mentors Cloud systems vary with climatic regimes, and observational DQO Translators Data capabilities must account for these differences. Radars are DMF Developers archive Site scientist DMF the only means to obtain both quantitative and qualitative observations of clouds over a large area. At each ARM fixed and mobile site, millimeter and centimeter wavelength radars are used to obtain observations Calibration Configuration of the horizontal and vertical distributions of clouds, as well Scan strategy as the retrieval of geophysical variables to characterize cloud Site operations properties. This unprecedented assortment of 32 radars Radar End provides a unique capability for high-resolution delineation Mentors science users of cloud evolution, morphology, and characteristics. One-of-a-Kind Radar Network Advanced Data Products and Tools All ARM radars, with the exception of three, are equipped with dual- Reectivity (dBz) • Active Remotely Sensed Cloud Locations (ARSCL) – combines data from active remote sensors with polarization technology. Combined -60 -40 -20 0 20 40 50 60 radar observations to produce an objective determination of hydrometeor height distributions and retrieval with multiple frequencies, this 1 μm 10 μm 100 μm 1 mm 1 cm 10 cm 10-3 10-2 10-1 100 101 102 of cloud properties. -
Chapter 4: Fog
CHAPTER 4: FOG Fog is a double threat to boaters. It not only reduces visibility but also distorts sound, making collisions with obstacles – including other boats – a serious hazard. 1. Introduction Fog is a low-lying cloud that forms at or near the surface of the Earth. It is made up of tiny water droplets or ice crystals suspended in the air and usually gets its moisture from a nearby body of water or the wet ground. Fog is distinguished from mist or haze only by its density. In marine forecasts, the term “fog” is used when visibility is less than one nautical mile – or approximately two kilometres. If visibility is greater than that, but is still reduced, it is considered mist or haze. It is important to note that foggy conditions are reported on land only if visibility is less than half a nautical mile (about one kilometre). So boaters may encounter fog near coastal areas even if it is not mentioned in land-based forecasts – or particularly heavy fog, if it is. Fog Caused Worst Maritime Disaster in Canadian History The worst maritime accident in Canadian history took place in dense fog in the early hours of the morning on May 29, 1914, when the Norwegian coal ship Storstadt collided with the Canadian Pacific ocean liner Empress of Ireland. More than 1,000 people died after the Liverpool-bound liner was struck in the side and sank less than 15 minutes later in the frigid waters of the St. Lawrence River near Rimouski, Quebec. The Captain of the Empress told an inquest that he had brought his ship to a halt and was waiting for the weather to clear when, to his horror, a ship emerged from the fog, bearing directly upon him from less than a ship’s length away. -
Investigating the Climate System Precipitationprecipitation “The Irrational Inquirer”
Educational Product Educators Grades 5–8 Investigating the Climate System PrecipitationPrecipitation “The Irrational Inquirer” PROBLEM-BASED CLASSROOM MODULES Responding to National Education Standards in: English Language Arts ◆ Geography ◆ Mathematics Science ◆ Social Studies Investigating the Climate System PrecipitationPrecipitation “The Irrational Inquirer” Authored by: CONTENTS Mary Cerullo, Resources in Science Education, South Portland, Maine Grade Levels; Time Required; Objectives; Disciplines Encompassed; Key Terms; Key Concepts . 2 Prepared by: Stacey Rudolph, Senior Science Prerequisite Knowledge . 3 Education Specialist, Institute for Global Environmental Strategies Additional Prerequisite Knowledge and Facts . 5 (IGES), Arlington, Virginia Suggested Reading/Resources . 5 John Theon, Former Program Scientist for NASA TRMM Part 1: How are rainfall rates measured? . 6 Editorial Assistance, Dan Stillman, Truth Revealed after 200 Years of Secrecy! Science Communications Specialist, Pre-Activity; Activity One; Activity Two; Institute for Global Environmental Activity Three; Extensions. 8 Strategies (IGES), Arlington, Virginia Graphic Design by: Part 2: How is the intensity and distribution Susie Duckworth Graphic Design & of rainfall determined? . 9 Illustration, Falls Church, Virginia Airplane Pilot or Movie Critic? Funded by: Activity One; Activity Two. 9 NASA TRMM Grant #NAG5-9641 Part 3: How can you study rain? . 10 Give us your feedback: Foreseeing the Future of Satellites! To provide feedback on the modules Activity One; Activity Two . 10 online, go to: Activity Three; Extensions . 11 https://ehb2.gsfc.nasa.gov/edcats/ educational_product Unit Extensions . 11 and click on “Investigating the Climate System.” Appendix A: Bibliography/Resources . 12 Appendix B: Assessment Rubrics & Answer Keys. 13 NOTE: This module was developed as part of the series “Investigating the Climate Appendix C: National Education Standards. -
Mali's Infrastructure
COUNTRY REPORT Mali’s Infrastructure: A Continental Perspective Cecilia M. Briceño-Garmendia, Carolina Dominguez and Nataliya Pushak JUNE 2011 © 2011 The International Bank for Reconstruction and Development / The World Bank 1818 H Street, NW Washington, DC 20433 USA Telephone: 202-473-1000 Internet: www.worldbank.org E-mail: [email protected] All rights reserved A publication of the World Bank. The World Bank 1818 H Street, NW Washington, DC 20433 USA The findings, interpretations, and conclusions expressed herein are those of the author(s) and do not necessarily reflect the views of the Executive Directors of the International Bank for Reconstruction and Development / The World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries. Rights and permissions The material in this publication is copyrighted. Copying and/or transmitting portions or all of this work without permission may be a violation of applicable law. The International Bank for Reconstruction and Development / The World Bank encourages dissemination of its work and will normally grant permission to reproduce portions of the work promptly. For permission to photocopy or reprint any part of this work, please send a request with complete information to the Copyright Clearance Center Inc., 222 Rosewood Drive, Danvers, MA 01923 USA; telephone: 978-750-8400; fax: 978-750-4470; Internet: www.copyright.com. -
Climate Change and Health Risks in Senegal
0f TECHNICAL REPORT CLIMATE CHANGE AND HEALTH RISKS IN SENEGAL September 2015 This document was produced for review by the United States Agency for International Development. It was prepared by Chemonics for the ATLAS Task Order. This document was produced for review by the United States Agency for International Development. It was prepared by Chemonics for the Climate Change Adaptation, Though Leadership, and Assessments (ATLAS) Task Order No. AID-OAA-I-14-00013, under the Restoring the Environment through Prosperity, Livelihoods, and Conserving Ecosystems (REPLACE) IDIQ. Chemonics Contact: Chris Perine, Chief of Party ([email protected]) Chemonics International Inc. 1717 H Street NW Washington, DC 20006 Cover Photo: A woman practices good mosquito net care and repair, a key component of campaigns in Senegal with NetWorks and the National Malaria Control Programme (NMCP). © 2011 NetWorks Senegal/CCP, Courtesy of Photoshare CLIMATE CHANGE AND HEALTH RISKS IN SENEGAL September 2015 Prepared for: United States Agency for International Development Climate Change Adaptation, Thought Leadership and Assessments (ATLAS) Prepared by: Fernanda Zermoglio (Chemonics International) Anna Steynor (Climate Systems Analysis Group, University of Cape Town) Chris Jack (Climate Systems Analysis Group, University of Cape Town) This report is made possible by the support of the American People through the United States Agency for International Development (USAID). The contents of this report are the sole responsibility of Chemonics and do not necessarily