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The Disappearance of Lake Chad: History of a Myth
The disappearance of Lake Chad: history of a myth Géraud Magrin1 Université Paris 1 Panthéon-Sorbonne, France Abstract The article explores the hydropolitics of Lake Chad. Scientific and popular views on the fate of Lake Chad differ widely. The supposed 'disappearance' of the Lake through water abstraction and climate change is a popular myth that endures because it serves a large set of heterogeneous interests, including those supporting inter-basin water transfers. Meanwhile scientific investigations show substantial and continuing Lake level fluctuations over time, and do not support its projected disappearance. The task is to understand how the myth of the disappearing Lake has been engendered and used, by studying the discourses and the strategies of the main stakeholders involved. The Lake has been protected so far from massive water abstraction, and inter-basin transfer projects, due to the fragmentation of its political management, new security threats, and the piecemeal nature of the interests in play. Key words: Lake Chad; environmental myths; hydropolitics; political ecology; inter-basin transfers Résumé Cet article aborde le lac Tchad d’un point de vue hydropolitique. Les discours scientifique et du grand public sur l'état du lac Tchad diffèrent largement. La « disparition » supposée du lac sous l’effet des prélèvements anthropiques pour l’irrigation et du changement climatique est un mythe qui perdure car il sert un ensemble d'intérêts hétérogènes, dont ceux favorables à un projet de transfert d'eau inter-bassins. Or les recherches scientifiques montrent que le lac a toujours fluctué au cours du temps, et que les dynamiques récentes ne conduisent pas à sa disparition, si souvent annoncée. -
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. -
January — March Year 2017
VOL 2 ISSUE 01 JANUARY — MARCH YEAR 2017 2016/17 DRY SEASON SUMMARY Dominica's dry season officially runs from December to May each year. The 2016 wet season, which prolonged into December resulting in a delay to the start of the 2016/17 dry season, was recorded as a normal season as it relates to rainfall amounts. A weak La Niña (the cooling of the Eastern Equatorial Pacific Ocean) was observed towards the end of 2016 and a transition to ENSO– neutral is expected during the period January to March 2017. La Niña tends to shift rainfall chances for January-February-March 2017 to above to normal in the southern-most is- lands of the Caribbean. With this occurrence, above to normal rainfall amounts are expected, resulting in less solar radiation and more cooling by clouds and more rainfall than last year. Temperatures are also expected to be closer to normal. IN THIS ISSUE Pg.1 2016/17 Dry-Season Dominica’s Climate Pg.2 Looking back at 2016 Pg.3 2016 Hurricane Season Looking ahead Pg.4 Seasonal Forecast Chart 1. Mid-December ENSO prediction plume DOMINICA’S CLIMATE Rainfall received during the dry season are usually generated by the annual migration of the North Atlantic Subtropical High, low level clouds which move with the easterly trade winds, southward dipping frontal boundaries and trough sys- tems. The dry season runs from December to May when the seas are cooler and thunderstorms and rainfall activity are relatively low. On average approximately 40% of the annual rainfall is recorded in elevated and eastern areas and ap- proximately 25% along the western coast. -
Infinity Summer Rain Safety Data Sheet
Infinity Summer Rain Safety Data Sheet SECTION 1: Identification of the substance/mixture and of the company/undertaking 1.1. Product identifier Product form : Mixture Product name : Infinity Summer Rain Product code : 11414 1.2. Relevant identified uses of the substance or mixture and uses advised against Use of the substance/mixture : Deodorizer 1.3. Details of the supplier of the safety data sheet Val-U-Chem Inc. PO Box 82310 Phoenix, AZ 85071 - USA T 602-957-2808 - F 602-957-2980 1.4. Emergency telephone number Emergency number : 800-255-3924 SECTION 2: Hazards identification 2.1. Classification of the substance or mixture Classification (GHS-US) Eye Irrit. 2A H319 Skin Sens. 1 H317 Full text of H-phrases: see section 16 2.2. Label elements GHS-US labeling Hazard pictograms : GHS07 Signal word : Warning Hazard statements : May cause an allergic skin reaction. Causes serious eye irritation. Precautionary statements : Avoid breathing mist, vapors. Wash hands and forearms thoroughly after handling. Contaminated work clothing must not be allowed out of the workplace. Wear eye protection, protective gloves. If on skin: Wash with plenty of water. If in eyes: Rinse cautiously with water for several minutes. Remove contact lenses, if present and easy to do. Continue rinsing. If skin irritation or rash occurs: Get medical advice/attention. If eye irritation persists: Get medical advice/attention. Take off contaminated clothing and wash it before reuse. Dispose of contents/container in accordance with Local, State, and Federal regulations. 2.3. Hazard not otherwise classified (HNOC) No additional information available 2.4. Unknown acute toxicity (GHS-US) No data available SECTION 3: Composition/information on ingredients 3.1. -
Hurricane Knowledge
Hurricane Knowledge Storm conditions can vary on the intensity, size and even the angle which the tropical cyclone approaches your area, so it is vital you understand what the forecasters and news reporters are telling you. Tropical Depressions are cyclones with winds of 38 mph. Tropical Storms vary in wind speeds from 39-73 mph while Hurricanes have winds 74 mph and greater. Typically, the upper right quadrant of the storm (the center wrapping around the eye) is the most intense portion of the storm. The greatest threats are damaging winds, storm surge and flooding. This is in part why Hurricane Katrina was so catastrophic when bringing up to 28-foot storm surges onto the Louisiana and Mississippi coastlines. A Tropical Storm Watch is when tropical storm conditions are possible in the area. A Hurricane Watch is when hurricane conditions are possible in the area. Watches are issued 48 hours in advance of the anticipated onset of tropical storm force winds. A Tropical Storm Warning is when tropical storm conditions are expected in the area. A Hurricane Warning is when hurricane conditions are expected in the area. Warnings are issued 36 hours in advance of tropical storm force winds. Here are a few more terms used when discussing hurricanes: Eye: Clear, sometimes well-defined center of the storm with calmer conditions. Eye Wall: Surrounding the eye, contains some of the most severe weather of the storm with the highest wind speed and largest precipitation. Rain Bands: Bands coming off the cyclone that produce severe weather conditions such as heavy rain, wind and tornadoes. -
Winds:Towards Better Weather Forecasts in Africa
WINDS:TOWARDS BETTER WEATHER FORECASTS IN AFRICA. KINYODA G. G Kenya Meteorological Department P.o box 30259, Nairobi. KENYA Tel: 56 78 80/Fax: 56 78 88 ABSTRACT: Poor operational meteorological network in Africa has for a long time continued to make weather forecasting difficult. Data extracted from the operational meteorological satellites is therefore vital information for this region. This paper describes, compares and evaluates the operational use of wind information disseminated via the MDD system to Africa; focussing at the Regional Specialized Meteorological Centre (RSMC), Nairobi, the African Centre of Meteorological Applications for Development (ACMAD), Niamey (Niger) and the Drought Monitoring Centre (DMC) in Nairobi. 1. INTRODUCTION 4. SCOPE In describing and evaluating the use of the wind Meteorological services rely heavily on timely information received via the MDD system, this paper :- dissemination of meteorological observations and derived • Discusses briefly the main weather/climate infuencing products.In many parts of the world telecommunications factors in Africa. This is considered important in the links provided by the WMO Global Telecommunications understanding of how the wind information is analysed, System (GTS), which is also used for interchange of interpreted and incorporated into the weather forecasts. meteorological data are satisfactory. However, extensive • Verifies qualitatively, the analysed wind information areas still suffer from a high degree of unreliability. Africa against the validating "truth" provided by a is particularly affected by the unreliability of the GTS. coresponding Meteosat imagery, over a short period. Fortunately, this region lies within the field of view of the • Finally, the MDD’s mission performance is evaluated Meteosat satellite. -
Contribution of Tropical Cyclones to Precipitation Around Reclaimed Islands in the South China Sea
water Article Contribution of Tropical Cyclones to Precipitation around Reclaimed Islands in the South China Sea Dongxu Yao 1,2, Xianfang Song 1,2,*, Lihu Yang 1,2,* and Ying Ma 1 1 Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; [email protected] (D.Y.); [email protected] (Y.M.) 2 Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China * Correspondence: [email protected] (X.S.); [email protected] (L.Y.); Tel.: +86-010-6488-9849 (X.S.); +86-010-6488-8266 (L.Y.) Received: 15 September 2020; Accepted: 2 November 2020; Published: 5 November 2020 Abstract: Tropical cyclones (TCs) play an important role in the precipitation of tropical oceans and islands. The temporal and spatial characteristics of precipitation have become more complex in recent years with climate change. Global warming tips the original water and energy balance in oceans and atmosphere, giving rise to extreme precipitation events. In this study, the monthly precipitation ratio method, spatial analysis, and correlation analysis were employed to detect variations in precipitation in the South China Sea (SCS). The results showed that the contribution of TCs was 5.9% to 10.1% in the rainy season and 7.9% to 16.8% in the dry season. The seven islands have the same annual variations in the precipitation contributed by TCs. An 800 km radius of interest was better for representing the contribution of TC-derived precipitation than a 500 km conventional radius around reclaimed islands in the SCS. -
Forecasting of Thunderstorms in the Pre-Monsoon Season at Delhi
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Publications of the IAS Fellows Meteorol. Appl. 6, 29–38 (1999) Forecasting of thunderstorms in the pre-monsoon season at Delhi N Ravi1, U C Mohanty1, O P Madan1 and R K Paliwal2 1Centre for Atmospheric Sciences, Indian Institute of Technology, New Delhi 110 016, India 2National Centre for Medium Range Weather Forecasting, Mausam Bhavan Complex, Lodi Road, New Delhi 110 003, India Accurate prediction of thunderstorms during the pre-monsoon season (April–June) in India is essential for human activities such as construction, aviation and agriculture. Two objective forecasting methods are developed using data from May and June for 1985–89. The developed methods are tested with independent data sets of the recent years, namely May and June for the years 1994 and 1995. The first method is based on a graphical technique. Fifteen different types of stability index are used in combinations of different pairs. It is found that Showalter index versus Totals total index and Jefferson’s modified index versus George index can cluster cases of occurrence of thunderstorms mixed with a few cases of non-occurrence along a zone. The zones are demarcated and further sub-zones are created for clarity. The probability of occurrence/non-occurrence of thunderstorms in each sub-zone is then calculated. The second approach uses a multiple regression method to predict the occurrence/non- occurrence of thunderstorms. A total of 274 potential predictors are subjected to stepwise screening and nine significant predictors are selected to formulate a multiple regression equation that gives the forecast in probabilistic terms. -
From Headquarters
from headquarters EDITOR'S NOTE: With this issue we begin a regular column intended to keep AMS members informed of activities and initiatives that are currently under way within the Society and that are being administered by the staff at AMS Headquarters. Revision of the Glossary of Meteorology required to track the terms through the writing and review processes and the preparation for publication. In 1952 Ralph E. Huschke and a team of principal Funding for the Glossary revision has been ob- and subject volunteer contributors began assembling tained through the National Science Foundation with meteorological, hydrological, oceanographic, math- support from the Environmental Protection Agency, ematical, and physics terms for publication. The col- the National Oceanic and Atmospheric Administra- lection of 7247 terms resulted in the Glossary of tion, the U.S. Air Force, the U.S. Navy, and the Meteorology published in 1959 by the AMS. At that Department of Energy. In addition, the AMS is contrib- time, the Glossary contained up-to-date terms found uting more than $90,000 annually to the project, in meteorology and sister disciplines. In the 35 years substantially from its special initiative fund, generated since its publication, more than 10 000 copies of the from interest on reserves, to support overhead and Glossary have been sold. publication costs. Over the decades, the field of meteorology has Publication of the revised Glossary is planned for expanded in the traditional sense and into the new late 1997, with simultaneous publication in an appro- areas of satellite meteorology and numerical weather priate electronic format. The electronic edition will be prediction, among others. -
Severe Thunderstorms and Tornadoes Toolkit
SEVERE THUNDERSTORMS AND TORNADOES TOOLKIT A planning guide for public health and emergency response professionals WISCONSIN CLIMATE AND HEALTH PROGRAM Bureau of Environmental and Occupational Health dhs.wisconsin.gov/climate | SEPTEMBER 2016 | [email protected] State of Wisconsin | Department of Health Services | Division of Public Health | P-01037 (Rev. 09/2016) 1 CONTENTS Introduction Definitions Guides Guide 1: Tornado Categories Guide 2: Recognizing Tornadoes Guide 3: Planning for Severe Storms Guide 4: Staying Safe in a Tornado Guide 5: Staying Safe in a Thunderstorm Guide 6: Lightning Safety Guide 7: After a Severe Storm or Tornado Guide 8: Straight-Line Winds Safety Guide 9: Talking Points Guide 10: Message Maps Appendices Appendix A: References Appendix B: Additional Resources ACKNOWLEDGEMENTS The Wisconsin Severe Thunderstorms and Tornadoes Toolkit was made possible through funding from cooperative agreement 5UE1/EH001043-02 from the Centers for Disease Control and Prevention (CDC) and the commitment of many individuals at the Wisconsin Department of Health Services (DHS), Bureau of Environmental and Occupational Health (BEOH), who contributed their valuable time and knowledge to its development. Special thanks to: Jeffrey Phillips, RS, Director of the Bureau of Environmental and Occupational Health, DHS Megan Christenson, MS,MPH, Epidemiologist, DHS Stephanie Krueger, Public Health Associate, CDC/ DHS Margaret Thelen, BRACE LTE Angelina Hansen, BRACE LTE For more information, please contact: Colleen Moran, MS, MPH Climate and Health Program Manager Bureau of Environmental and Occupational Health 1 W. Wilson St., Room 150 Madison, WI 53703 [email protected] 608-266-6761 2 INTRODUCTION Purpose The purpose of the Wisconsin Severe Thunderstorms and Tornadoes Toolkit is to provide information to local governments, health departments, and citizens in Wisconsin about preparing for and responding to severe storm events, including tornadoes. -
Great Green Wall for the Sahara and the Sahel Initiative
Great Green Wall for the Sahara and the Sahel initiative The African wall An African partnership to tackle desertification and land degradation Desertification affects millions of the most vulnerable people in Africa, where two-thirds of the land cover consists of drylands and deserts. Contrary to popular perception, desertification is not the loss of land to the desert or through sand-dune movement. Desertification refers to land degradation in arid, semi-arid and sub-humid areas resulting from factors such as human pressure on fragile eco-systems, deforestation and climate change. Desertification and land degradation have a strong negative impact on the food security and livelihoods of the local communities in Africa’s drylands, home to the world’s poorest populations. In 2007, African Heads of State and Government endorsed the Great Green Wall for the Sahara and the Sahel Initiative with the objective of tackling the detrimental social, economic and environmental impacts of land degradation and desertification in the region. The initiative aims to support the efforts of local communities in the sustainable management and use of forests, rangelands and other natural resources in drylands. It also seeks to contribute to climate change mitigation and adaptation, as well improve the food security and livelihoods of the people in the Sahel and the Sahara. From the initial idea of a line of trees from east to west through the African desert, the vision for a Great Green Wall has evolved into that of a mosaic of interventions addressing the challenges facing the people in the Sahel and Sahara. The overall goal of the Great Green Wall initiative is to strengthen the resilience of the region’s people and natural systems with sound ecosystems’ management, sustainable development of land resources, the protection of rural heritage and the improvement of the living conditions of the local population. -
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%).