Program and Abstracts of 2012 Congress / Programme Et Résumés
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Prior to December 12Th Caused the Soil to Become Very Dry And
prior to December 12th caused the soil ies of storms are bringing welcome to become very dry and considerable rains to Southern California.—Claude irrigation was necessary before that A. Cole, U. S. Weather Bureau, Fruit- date. On December 30 to Jan. 1, Frost Service, Azusa, Calif. District there occurred a storm which shat- (excerpts from Supplemental Re- tered records of heavy rain of many port, Season of 1933-34). years' standing and did many thou- The mildness of Oregon's weather sands of dollars of damage to the in contrast to the severity of New citrus industry in this district, as well England's in the same latitude, led as other sections, particularly to the the Portland Oregonian to philoso- westward of the San Gabriel Valley. phize on the "small wonder that the The total precipitation for the storm pioneers came West," to which the was 16.33 inches at Azusa and Boston Transcript retorts: "The Ore- amounts ranging from 10 to 16 inch- gonians are becoming enervated by es elsewhere in this section. their soft climate. If the hardy pion- The rains of the winter were warm eers who went West had not been and but little snow has been deposited toughened by chilly weather like that in the mountains. As the season of ours of a week or two ago there closes at the end of February, a ser- would have been no Oregon. SIDELIGHTS ON THE COLD WINTER IN THE EAST Compiled by CHARLES F. BROOKS Though warm weather has re- The waters gathered in the short turned there are some features of the streams of southern New England, winter of 1933-34, necessarily omitted and the Charles on the 7th reached from the general article by C. -
Whither the Weather Analysis and Forecasting Process?
520 WEATHER AND FORECASTING VOLUME 18 FORECASTER'S FORUM Whither the Weather Analysis and Forecasting Process? LANCE F. B OSART Department of Earth and Atmospheric Sciences, The University at Albany, State University of New York, Albany, New York 5 December 2002 and 19 December 2002 ABSTRACT An argument is made that if human forecasters are to continue to maintain a skill advantage over steadily improving model and guidance forecasts, then ways have to be found to prevent the deterioration of forecaster skills through disuse. The argument is extended to suggest that the absence of real-time, high quality mesoscale surface analyses is a signi®cant roadblock to forecaster ability to detect, track, diagnose, and predict important mesoscale circulation features associated with a rich variety of weather of interest to the general public. 1. Introduction h day-1 QPF scores made by selected NCEP models, By any objective or subjective measure, weather fore- including the Nested Grid Model (NGM; Hoke et al. casting skill has improved signi®cantly over the last 40 1989), the Eta Model (Black 1994), and the Aviation years. By way of illustration, Fig. 1 shows the annual Model [AVN, now called the Global Forecast System threat score for 24-h quantitative precipitation forecast (GFS); Kanamitsu et al. (1991); Kalnay et al. (1998)]. (QPF) amounts of 1.00 in. (2.5 cm) or more over the The key point to be made from Fig. 2 is that HPC contiguous United States for 1961±2001 as produced by forecasters have been able to sustain approximately a forecasters at the Hydrometeorological Prediction Cen- 0.05 threat score advantage over the NCEP numerical ter (HPC) of the National Centers for Environmental models during this 12-yr period (and longer, not shown) Prediction (NCEP). -
The Operational CMC–MRB Global Environmental Multiscale (GEM)
VOLUME 126 MONTHLY WEATHER REVIEW JUNE 1998 The Operational CMC±MRB Global Environmental Multiscale (GEM) Model. Part I: Design Considerations and Formulation JEAN COÃ TEÂ AND SYLVIE GRAVEL Meteorological Research Branch, Atmospheric Environment Service, Dorval, Quebec, Canada ANDREÂ MEÂ THOT AND ALAIN PATOINE Canadian Meteorological Centre, Atmospheric Environment Service, Dorval, Quebec, Canada MICHEL ROCH AND ANDREW STANIFORTH Meteorological Research Branch, Atmospheric Environment Service, Dorval, Quebec, Canada (Manuscript received 31 March 1997, in ®nal form 3 October 1997) ABSTRACT An integrated forecasting and data assimilation system has been and is continuing to be developed by the Meteorological Research Branch (MRB) in partnership with the Canadian Meteorological Centre (CMC) of Environment Canada. Part I of this two-part paper motivates the development of the new system, summarizes various considerations taken into its design, and describes its main characteristics. 1. Introduction time and space scales that are commensurate with those An integrated atmospheric environmental forecasting associated with the phenomena of interest, and this im- and simulation system, described herein, has been and poses serious practical constraints and compromises on is continuing to be developed by the Meteorological their formulation. Research Branch (MRB) in partnership with the Ca- Emphasis is placed in this two-part paper on the con- nadian Meteorological Centre (CMC) of Environment cepts underlying the long-term developmental strategy, -
Module 4.2D Short Range Forecasting of Cloud
MODULE 4.2D SHORT RANGE FORECASTING OF CLOUD, PRECIPITATION AND RESTRICTIONS TO VISIBILITY Convective Cloud and Precipitation Table of Contents 1. INTRODUCTION ...................................................................................................................................................1 2. WARM SEASON CONVECTIVE WEATHER...................................................................................................1 ANALYSIS OF REAL TIME DATA ................................................................................................................................1 MODIFYING THE TEPHIGRAM.....................................................................................................................................1 DIURNAL AND SEASONAL TRENDS ............................................................................................................................2 SYNOPTIC CORRELATIONS TECHNIQUES....................................................................................................................3 PHYSICAL PROCESSES APPROACH .............................................................................................................................4 THUNDERSTORMS: WHAT TO DO WITH THEM ONCE YOU KNOW WHERE THEY ARE..............................................8 3. WINTERTIME CONVECTION - SNOWSQUALLS .........................................................................................9 AIR MODIFICATION TABLE................................................................................................................................9 -
Local History Clipping Files
Local History Clipping Files Clipping files are divided into: • Open stacks (white cabinets next to the LHG Room) • Closed stacks (black cabinets in Room 440) Open clipping files are organized alphabetically by subject heading in 8 white cabinets on the 4th floor (each cabinet has its own key at the 4th floor information desk): Cabinet 8 Cabinet 7 Cabinet 6 Cabinet 5 22: SH - SK 19: PA - PR 16: LO - MO 13: HAL R - HA 23: SK - TH 20: PR - RE 17: MU - NO 14: HA - HO 24: TH - ZO 21: RE - SH 18: NO - PA 15: HO - LO Cabinet 1 Cabinet 2 Cabinet 3 Cabinet 4 1: AB - AR 4: BIO J - BIO U-V 7: CH - CO 10: FO - HAL A 2: AR - BA 5: BIO WA - CA 8: CO - EL 11: HAL B - HAL H 3: BE - BIO I 6: CA - CH 9: EL - FO 12: HAL H - HAL R Clipping File Subject Headings A Aged - Dwellings Agriculture - Nova Scotia Abortion - Nova Scotia AIDS - Nova Scotia (2 folders) Acadia University AIDS - Nova Scotia (pre-1990) Acadians (closed stacks in room 440) Acid Rain - Nova Scotia AIDS - Nova Scotia - Eric Smith (closed stacks in room 440) Actors and Actresses - A-Z (3 folders) Advertising 1 Airlines Atlantic Institute of Education Airlines - Eastern Provincial Airways (closed stacks in room 440) (closed stacks in room 440) Atlantic School of Theology Airplane Industry Atlantic Winter Fair (closed stacks in room 440) Airplanes Automobile Industry and Trade - Bricklin Canada Ltd. Airports (closed stacks in room 440) (closed stacks in room 440) Algae (closed stacks in room 440) Automobile Industry and Trade - Canadian Motor Ambulances Industries (closed stacks in room 440) Amusement Parks (closed stacks in room 440) Automobile Industry and Trade - Lada (closed stacks in room 440) Animals Automobile Industry and Trade - Nova Scotia Animals, Treatment of Automobile Industry and Trade - Volvo (Canada) Ltd. -
MP - Mechanistic Habitat Modeling with Multi-Model Climate Ensembles - Final - HMJ5.Docx
MP - Mechanistic Habitat Modeling with Multi-Model Climate Ensembles - Final - HMJ5.docx Mechanistic Habitat Modeling with Multi-Model Climate Ensembles A practical guide to preparing and using Global Climate Model output for mechanistically modeling habitat, as exemplified by the modeling of the fundamental niche of a pagophilic Pinniped species through 2100. Masters project submitted in partial fulfillment of the requirements for the Master of Environmental Management degree in the Nicholas School of the Environment of Duke University, May 2013. Author: Hunter Jones Adviser: Dr. David Johnston Abstract Projections of future Sea Ice Concentration (SIC) were prepared using a 13- member ensemble of climate model output from the Coupled Model Inter- comparison Project (CMIP5). Three climate change scenarios (RCP 2.6, RCP 6.0, RCP 8.5), corresponding to low, moderate, and high climate change possibilities, were used to generate these projections for known Harp Seal whelping locations. The projections were splined and statistically downscaled via the CCAFS Delta method using satellite-derived observations from the National Sea Ice Data Center (NSIDC) to prepare a spatial representation of sea ice decline through the year 2100. Multi-Model Ensemble projections of the mean sea ice concentration anomaly for Harp Seal whelping locations under the moderate and high climate change scenarios (RCP 6.0 and RCP 8.5) show a decline of 10% to 40% by 2100 from a modern baseline climatology (average of SIC, 1988 - 2005) while sea ice concentrations under the low climate change scenario remain fairly stable. Projected year-over-year sea ice concentration variability decreases with time through 2100, but uncertainty in the prediction (model spread) increases. -
Downscaling Geopotential Height Using Lapse Rate
KMITL Sci. Tech. J. Vol. 12 No. 2 Jul.-Dec. 2012 Downscaling Geopotential Height Using Lapse Rate Chiranya Surawut1 and Dusadee Sukawat2* 1Earth System Science, King Mongkut ’s University of Technology Thonburi, Bangkok, Thailand 2*Department of Mathematics, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand Abstract In order to utilize the output from a global climate model, relevant information for the area of interest must be extracted. This is called "downscaling". In this paper, the derivation of a local geopotential height in terms of lapse rate is presented. The main assumptions are hydrostatic balance, perfect gas, constant gravity, and constant lapse rate. Two sets of data are required for this method, simulation outputs from the Education Global Climate Model (EdGCM) and the observed data at the points of interest (Chiangmai, Bangkok, Ubon Ratchathani, Phuket and Songkla). The results show that downscaling of the geopotential heights by using lapse rate dynamic equation are closer to the observed data than the geopotential heights from EdGCM. Keywords: Downscaling, Geopotential height, Lapse rate 1. Introduction Climate change data are simulation outputs from global climate models (GCMs). Outputs of GCMs are coarse resolution, so it must be downscaled for use in regional applications by downscaling [1]. The starting point for downscaling is a larger scale atmospheric or coupled oceanic atmospheric model run from a GCM [2]. There are two major kinds of downscaling, statistical and dynamical methods. Statistical downscaling methods use historical data and archived forecasts to produce downscaled information from large scale forecasts. Dynamical downscaling methods involve dynamical models of the atmosphere nested within the grids of the large scale forecast models [1]. -
Conditions Météorologiques Et Routières Lexique Français-Anglais Introduction Les Entrées Sont Classées Selon L'ordre Al
Conditions météorologiques et routières Lexique français-anglais Introduction Les entrées sont classées selon l’ordre alphabétique strict des mots. Les expressions ou termes en anglais sont présentés en italique. Il y a lieu de noter que la liste des équivalents n’est pas exhaustive. Il existe d’autres équivalents corrects. Dans certains cas, les équivalents diffèrent d’une province à l’autre et d’un domaine juridique à l’autre. Il existe aussi des régionalismes qui sont propres à un territoire ou à une seule province. L’Institut Joseph-Dubuc tient à remercier les nombreux juristes et spécialistes qui lui ont transmis leurs commentaires et proposé des ajouts ou des corrections concernant ces lexiques. - 1 - Conditions météorologiques et routières Lexique français-anglais - A - accès de rage d'un automobiliste road rage accotement shoulder air air air arctique arctic air Alerte Météo WeatherAlert amas de neige bank of snow; snowbank amoncellement de neige bank of snow; snowbank atmosphère atmosphere avalanche avalanche avalanche de neige snow avalanche; snow slide averse shower; downpour averse de grêle hail shower averse de neige flurry; snow flurry; snow shower averse de neige fondante wet flurry averse de pluie rain shower averse torrentielle cloudburst avertissement de blizzard blizzard warning avertissement de bourrasques de neige snow squall warning avertissement de coup de vent gale warning avertissement de gel frost warning avertissement de gel rapide flash freeze warning avertissement de marée de tempête storm surge warning avertissement -
Bias Removal and Model Consensus Forecasts of Maximum and Minimum Temperatures Using the Graphical Forecast Editor 1. Introducti
Bias Removal and Model Consensus Forecasts of Maximum and Minimum Temperatures Using the Graphical Forecast Editor Jeffrey T. Davis National Weather Service Office Tucson, Arizona 1. Introduction Operational Numerical Weather Prediction (NWP) models have inherent biases that need to be removed either objectively or subjectively before used in official National Weather Service (NWS) forecasts. The recent shift of the NWS to the Interactive Forecast Preparation System (IFPS) to create and distribute digital weather forecasts has led to more of a dependency on the direct use of NWP models. This dependency on raw model output is mainly due to the gridded format needed to initialize digital weather forecasts. The primary tool for creating these digital forecasts is the Graphical Forecast Editor (GFE) (Lefebvre, 1995). The GFE has two design features that account for the objective and subjective adjustments of the native NWP model grid. The front-end feature is referred to as “Smart Initialization” which is used to objectively derive sensible weather elements and downscale the coarser resolution models to a higher 2.5 km or 5 km grid spacing. The second feature is interactive and accounts for both subjective and objective adjustments through the use of simple graphical editing tools and “Smart Tools”. The baseline GFE design lacks the capability to objectively remove model biases in the initialization process. This is not to say that the GFE should have this capability, but high resolution, bias-corrected model grids are not currently included in the overall IFPS design. As a result, forecasters are tasked with subjectively correcting for these model biases using the GFE tools. -
President's Words
Newsletter March 2009 Kingston Amateur Radio Club 2009 Executive President: Les, VE3KFS Newsletter Editor: Joan Clarke [email protected] [email protected] Vice-Pres: Robert, VE3RPF Repeater Committee: [email protected] VE3KFS, Les Lindstrom [email protected] Treasurer: Bill, VA3OL [email protected] VA3GST, John Snasdell-Taylor [email protected] Secretary: Chip, VA3KGB va3kgb@rac .ca VA3KGB, Chip Chapman [email protected] Past-Pres: Tom, VE3UDO [email protected] VE3JCQ, John Wood [email protected] 2009 Committee Chairs Two Meter Net Manager: VE3MNE, Don Gilroy [email protected] VE3CLQ, Bill Nangle [email protected] P.O. Box 1402 Kingston Ontario K7L 5C6 http://www.ve3kbr.com VE3KAR The 2nd Repeater is now VE3KBR Operational VE3UEL 147.090(+) MHz VE3KER 146.94(-) MHz News Kingston Amateur NOTE FROM THE PRESIDENT (Les, VE3KFS) Tom Lloyd VA3ZE/ VE3UDO Silent Key The passing of Tom has really struck the Amateur community here in Kingston as the flood of mail on the Free list has shown. As a long standing member of the KARC Tom could always be counted on to provide guidance and help to his fellow Amateur. His support and hard work on such club efforts as the repeater, field day, Emergency services and Club picnics to mention just a few, were instrumental in the KARC success over many years. The celebration of Tom's life was very well attended by a majority of KARC members. Thanks to all who were able to attend. Don't forget the next club meeting on Wednesday, April 1st, 2009 7: 00 pm. at Smitty's From the Editor: This is a much smaller newsletter than you've been getting – not many articles coming in. -
CLIMATE CHANGE and PUBLIC HEALTH in GREY BRUCE HEALTH UNIT Current Conditions and Future Projections
CLIMATE CHANGE AND PUBLIC HEALTH IN GREY BRUCE HEALTH UNIT Current Conditions and Future Projections 2017 0 ABOUT THIS REPORT This report was completed as part of a Master of Public Health practicum placement by Gillian Jordan of Lakehead University during the summer of 2017 under the supervision of Robert Hart and Alanna Leffley of Grey Bruce Health Unit. Acknowledgements Much of this report was inspired by past work conducted by Stephen Lam, Krista Youngblood, and Dr. Ian Arra. This report is meant to build upon and accompany these previous reports to assist in furthering climate change-related understanding and planning of adaptation activities in Grey Bruce. Special thanks to Bob Hart and Alanna Leffley for their guidance and assistance throughout the report process; additional thanks to Virginia McFarland for her help with data analysis. Suggested Citation: Grey Bruce Health Unit. (2017). Climate Change and Public Health in Grey Bruce Health Unit: Current conditions and future projections. Owen Sound, Ontario. Grey Bruce Health Unit. 0 CONTENTS Table of Figures ............................................................................................................................................. ii Executive Summary ...................................................................................................................................... iii Introduction .................................................................................................................................................. 1 Climate Change -
Weather Direct Alerts
Version 1.5, 05/05/15 Weather Alerts from Weather Direct Definition: Alerts is the entire collection of U.S. National Weather Service and Canadian Weather Office warnings, watches, advisories and statements (see Appendix A for the supported list). We also call alerts Severe Weather Alerts or Weather Alerts.1 Alerts is an optional feature that must be activated. Customers may receive alerts on the weather direct device (scrolling on non-audio units), via e-mail or as SMS (Short Message Service) text on a cell phone. Preview Alerts on My Web Forecasts Note: This feature is available to all users. My Web Forecasts does not deliver alerts. It allows you to confirm that an alert is active at the selected location. Login to your Weather Direct account at www.weatherdirect.com. Find the My Web Forecasts section (right side of browser screen). Select Click to Add Web Forecasts. When the Edit Settings box appears, type the location you wish to monitor in the blank provided, press the search button to find it, highlight the correct item in the list with the mouse, and then press the Save button to display it: 1 Version 1.5, 05/05/15 A colored alert scrolling above the location (as below), means the location has a valid alert active. An expired alert will almost instantly stop scrolling on the web site because our web servers do not have to wait for the transfers involved in alert message delivery. The square button on the forecast location will display the last 3 months of alerts history; however, the 3 month history is not always an exact replica of what scrolled on the device because the history cannot receive a “cancel” notice (if issued before the published expiration).