Chapter 4: Changes in Temperature and Precipitation Across Canada
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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. -
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. -
Future Possible Dry and Wet Extremes in Saskatchewan, Canada
!"#"$%&'())*+,%&-$.&/01&2%#& 34#$%5%)&*0&6/)7/#89%:/0;& </0/1/&& '$%=/$%1&>($	%&2/#%$&6%8"$*#.&?@%08.;&6/)7/#89%:/0& 3&29%/#(0;&A&A(0)/,;&B&2*##$(87&&CDEF&& 6G<&'"+&H&EFIJCKE3EF& & Future Possible Dry and Wet Extremes in Saskatchewan, Canada Prepared for the Water Security Agency, Saskatchewan E Wheaton Adjunct Professor, University of Saskatchewan and Emeritus Researcher, Saskatchewan Research Council Box 4061 Saskatoon, SK, 306 371 1205 B Bonsal Research Scientist, Environment Canada Adjunct Professor, University of Saskatchewan Saskatoon, SK V Wittrock Research Scientist, Saskatchewan Research Council Saskatoon, SK November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�$4! 56! 7$#4+89&4(!,-+#(.(!)*+*#(!"#(/010+&+0$2!3/(2�$4! 56! .,*8)-2*.2')*'8"+"%2':%,12.+),*!' =9! -)!."!!),*'$*-'.,*.6"!),*!' =>! $.?*,@62-;2#2*+!' AB! %282%2*.2!' A<! 3 6MNN?GO& Droughts and extreme precipitation are extreme climate events and among the most costly and disruptive environmental hazards. -
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. -
CANADA's SIBERIAN POLICY I918
CANADA'S SIBERIAN POLICY i918 - 1919 ROBERT NEIL MURBY B.A,, University of British Columbia, 1968 A1 THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS in the DEPARTMENT OF SLAVONIC STUDIES We accept this thesis as conforming to the required standard. THE UNIVERSITY OF BRITISH COLUMBIA April, 1969 In presenting this thesis in partial fulfilment of the requirements for an advanced degree at the University of British Columbia, I agree that the Library shall make it freely available for reference and Study. I further agree that permission for extensive copying of this thesis for scholarly purposes may be granted by the Head of my Department or by his representatives. It is understood that copying or publication of this thes,is for financial gain shall not be allowed without my written permission. Robert N. Murby Department of Slavonic Studies The University of British Columbia Vancouver 8, Canada Da 1e April 17th. 1969 - ii - ABSTRACT The aim of this essay was to add to the extremely limited fund of knowledge regarding Canada's relations with Siberia during the critical period of the Intervention, The result hopefully is a contribution both to Russian/Soviet and Canadian history. The scope of the subject includes both Canada's military participation in the inter-allied intervention and simultaneously the attempt on the part of Canada to economically penetrate Siberia, The principal research was carried out at the Public Archives of Canada, Ottawa during September and October, 1968. The vast majority of the documents utilized in this essay have never previously been published either in whole or in part. -
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. -
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%). -
U.S.-Canada Cross- Border Petroleum Trade
U.S.-Canada Cross- Border Petroleum Trade: An Assessment of Energy Security and Economic Benefits March 2021 Submitted to: American Petroleum Institute 200 Massachusetts Ave NW Suite 1100, Washington, DC 20001 Submitted by: Kevin DeCorla-Souza ICF Resources L.L.C. 9300 Lee Hwy Fairfax, VA 22031 U.S.-Canada Cross-Border Petroleum Trade: An Assessment of Energy Security and Economic Benefits This report was commissioned by the American Petroleum Institute (API) 2 U.S.-Canada Cross-Border Petroleum Trade: An Assessment of Energy Security and Economic Benefits Table of Contents I. Executive Summary ...................................................................................................... 4 II. Introduction ................................................................................................................... 6 III. Overview of U.S.-Canada Petroleum Trade ................................................................. 7 U.S.-Canada Petroleum Trade Volumes Have Surged ........................................................... 7 Petroleum Is a Major Component of Total U.S.-Canada Bilateral Trade ................................. 8 IV. North American Oil Production and Refining Markets Integration ...........................10 U.S.-Canada Oil Trade Reduces North American Dependence on Overseas Crude Oil Imports ..................................................................................................................................10 Cross-Border Pipelines Facilitate U.S.-Canada Oil Market Integration...................................14 -
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. -
Hydrological Extremes in the Canadian Prairies in the Last Decade Due to the ENSO Teleconnection—A Comparative Case Study Using WRF
water Article Hydrological Extremes in the Canadian Prairies in the Last Decade due to the ENSO Teleconnection—A Comparative Case Study Using WRF Soumik Basu * , David J. Sauchyn and Muhammad Rehan Anis Prairie Adaptation Research Collaborative, Regina, SK S4S 0A2, Canada; [email protected] (D.J.S.); [email protected] (M.R.A.) * Correspondence: [email protected] Received: 8 September 2020; Accepted: 21 October 2020; Published: 23 October 2020 Abstract: In the Prairie provinces of Alberta, Saskatchewan, and Manitoba, agricultural production depends on winter and spring precipitation. There is large interannual variability related to the teleconnection between the regional hydroclimate and El Niño and La Niña in the Tropical Pacific. A modeling experiment was conducted to simulate climatic and hydrological parameters in the Canadian Prairie region during strong El Niño and La Niña events of the last decade in 2015–2016 and 2010–2011, respectively. The National Center for Atmospheric Research (NCAR) Weather Research and Forecasting (WRF) model was employed to perform two sets of sensitivity experiments with a nested domain at 10 km resolution using the European Centre for Medium-Range Weather Forecasts Reanalysis (ERA) interim data as the lateral boundary forcing. Analysis of the hourly model output provides a detailed simulation of the drier winter, with less soil moisture in the following spring, during the 2015–2016 El Niño and a wet winter during the La Niña of 2010–2011. The high-resolution WRF simulation of these recent weather events agrees well with observations from weather stations and water gauges. Therefore, we were able to take advantage of the WRF model to simulate recent weather with high spatial and temporal resolution and thus study the changes in hydrometeorological parameters across the Prairie during the two extreme hydrological events of the last decade. -
6Th Grade Reading Comprehension Worksheets | Extreme Weather
Name: ___________________________________ Extreme Weather Severe storms happen in low-pressure weather systems. Warm, wet air begins rising into the air. The higher it rises, the cooler it becomes. Water vapor in the air forms drops, a process called condensation. The drops join together to form clouds, and then precipitation of some kind (rain, sleet, snow, or hail) will fall down to Earth’s surface. Although conditions must be very specific for a thunderstorm A tornado in Oklahoma to develop, thunderstorms remain the most common kind of extreme weather. Before a thunderstorm can develop, there have to be three conditions present: the air has to be full of moisture, there must be either an intensely heated portion of Earth’s surface sending warm air up quickly or an approaching cold front, and the warm air that is rising must be warm enough to stay warmer than the air it passes through as it rises. The moisture in the rising air condenses, clouds form and a storm begins. A cold front happens when cold air is moving near the surface of Earth, and it pushes warm air up very quickly. This is often the beginning of a thunderstorm. Clouds form, and heavy rains begin falling. Opposite electrical charges inside storm clouds separate, causing lightning to flash towards Earth. Lightning has enough energy to heat the air all around it. This sudden burst of heat is what causes the noise we know as thunder. Thunderstorms often bring disasters with them, including floods, fires caused by lightning, damage from hailstones or strong winds, and even tornadoes. -
NOAA's Atlantic Oceanographic and Meteorological Laboratory
Improving Early Warnings for Extreme Weather Events NOAA’s Atlantic Oceanographic and Meteorological Laboratory Lightning over the Great Plains. Texas. May 12, 2009. Image Credit: NOAA/NSSL, VORTEX II. Financial Impacts from Extreme Weather Events A recent nationwide survey indicated that weather loss of life and damage to critical infrastructure. This forecasts generate $31.5 billion in economic benefits to effort is crucial for informing emergency management and U.S. households.1 Since 1980, the U.S. has sustained 279 public preparedness. weather and climate disasters where overall damages reached or exceeded $1 billion (including Consumer Price Index adjustment in 2020 dollars); The total cost of these 279 events exceeds $1.825 trillion.2 AOML scientists are working to improve the forecasts of four main disaster types: tropical cyclones, tornado- related severe storms, heat waves, and extreme rainfall. Improved weather forecasts provide emergency managers, government officials, businesses, and the public with more accurate and timely warnings to minimize catastrophic 1 U.S. Department of Commerce/National Oceanic and Atmospheric Administration. (2018, June). NOAA By The Numbers: Economic Statistics Relevant to NOAA’s Mission. Silver Spring, Maryland: United States. 2 NOAA National Centers for Environmental Information (NCEI) U.S. Billion-Dollar Weather and Climate Disasters (2020). Understanding Long-Term Ocean Dynamics Leads to Better Short-Term Prediction Extreme weather events are responsible for devastating atmospheric observations and model simulations. For mortality and economic impacts in the United States, example, researchers at AOML study how temperature but current extreme weather forecasts are only able to variations associated with El Niño and La Niña, as well as accurately predict events a few days in advance.