D 2.3 Present State of Risk Monitoring and Warning Systems
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Health Guidelines Vegetation Fire Events
HEALTH GUIDELINES FOR VEGETATION FIRE EVENTS Background papers Edited by Kee-Tai Goh Dietrich Schwela Johann G. Goldammer Orman Simpson © World Health Organization, 1999 CONTENTS Preface and acknowledgements Early warning systems for the prediction of an appropriate response to wildfires and related environmental hazards by J.G. Goldammer Smoke from wildland fires, by D E Ward Analytical methods for monitoring smokes and aerosols from forest fires: Review, summary and interpretation of use of data by health agencies in emergency response planning, by W B Grant The role of the atmosphere in fire occurrence and the dispersion of fire products, by M Garstang Forest fire emissions dispersion modelling for emergency response planning: determination of critical model inputs and processes, by N J Tapper and G D Hess Approaches to monitoring of air pollutants and evaluation of health impacts produced by biomass burning, by J P Pinto and L D Grant Health impacts of biomass air pollution, by M Brauer A review of factors affecting the human health impacts of air pollutants from forest fires, by J Malilay Guidance on methodology for assessment of forest fire induced health effects, by D M Mannino Gaseous and particulate emissions released to the atmosphere from vegetation fires, by J S Levine Basic fact-determining downwind exposures and their associated health effects, assessment of health effects in practice: a case study in the 1997 forest fires in Indonesia, by O Kunii Smoke episodes and assessment of health impacts related to haze from forest -
Meteoswiss Good to Know Postdoc on Climate Change and Heat Stress
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss MeteoSwiss Good to know The Swiss Federal Office for Meteorology and Climatology MeteoSwiss is the Swiss National Weather Service. We record, monitor and forecast weather and climate in Switzerland and thus make a sus- tainable contribution to the well-being of the community and to the benefit of industry, science and the environment. The Climate Department carries out statistical analyses of observed and modelled cli- mate data and is responsible for providing the results for users and customers. Within the team Cli- mate Prediction we currently have a job opening for the following post: Postdoc on climate change and heat stress Your main task is to calculate potential heat stress for current and future climate over Europa that will serve as a basis for assessing the impact of climate change on the health of workers. You derive complex heat indices from climate model output and validate them against observational datasets. You will further investigate the predictability of heat stress several weeks ahead on the basis of long- range weather forecasts. In close collaboration with international partners of the EU H2020 project Heat-Shield you will setup a prototype system of climate services, including an early warning system. Your work hence substantially contributes to a heat-based risk assessment for different key industries and potential productivity losses across Europe. The results will be a central basis for policy making and to plan climate adaptation measures. Your responsibilities will further include publishing results in scientific journals and reports, reporting and coordinating our contribution to the European project and presenting results at national and international conferences. -
Summary of Activities Implemented by WMO
IPA PROJECT BUILDING RESILIENCE TO DISASTERS IN WESTERN BALKANS AND TURKEY Summary of activities implemented by WMO Dimitar Ivanov and Sari Lappi, WMO 14 October 2014 Final Steering Committee Meeting Content Project Highlights Report on Activities Key Achievements Outstanding Issues and Way Ahead Project Highlights Overall Objective: To reduce vulnerability of IPA Beneficiaries to natural disasters, in line with the Hyogo Framework for Action (HFA), and increase their resilience to climate change. Project purpose: To enhance the capacity of IPA Beneficiaries to address disaster risk reduction in both today's and the future predicted climate. Beneficiaries: Albania, Bosnia and Herzegovina, Croatia, Montenegro, Serbia, Kosovo*, the former Yugoslav Republic of Macedonia, and Turkey. Implementing agencies: UNISDR (4 tasks), WMO (4 tasks). Funding: EC DG Enlargement, Instrument for Pre-accession Assistance (IPA) multi-beneficiary project. Implementation period: 24 + 5 months, May 2012 – October 2014 *This designation is without prejudice to positions on status, and is in line with UNSCR 1244 and the ICJ Opinion on the Kosovo Declaration of Independence Specific objectives for WMO tasks Continue capacity building efforts based on the IPA 2009 project (Phase 1) Assist the NMHSs of the IPA beneficiary countries to enhance their services in support of DRR in the following areas: Hazard monitoring and analysis Extreme weather forecasting Develop capacity for climate-related services Cross-border data exchange to support EWS Design of EWS, -
National Weather Service Reference Guide
National Weather Service Reference Guide Purpose of this Document he National Weather Service (NWS) provides many products and services which can be T used by other governmental agencies, Tribal Nations, the private sector, the public and the global community. The data and services provided by the NWS are designed to fulfill us- ers’ needs and provide valuable information in the areas of weather, hydrology and climate. In addition, the NWS has numerous partnerships with private and other government entities. These partnerships help facilitate the mission of the NWS, which is to protect life and prop- erty and enhance the national economy. This document is intended to serve as a reference guide and information manual of the products and services provided by the NWS on a na- tional basis. Editor’s note: Throughout this document, the term ―county‖ will be used to represent counties, parishes, and boroughs. Similarly, ―county warning area‖ will be used to represent the area of responsibility of all of- fices. The local forecast office at Buffalo, New York, January, 1899. The local National Weather Service Office in Tallahassee, FL, present day. 2 Table of Contents Click on description to go directly to the page. 1. What is the National Weather Service?…………………….………………………. 5 Mission Statement 6 Organizational Structure 7 County Warning Areas 8 Weather Forecast Office Staff 10 River Forecast Center Staff 13 NWS Directive System 14 2. Non-Routine Products and Services (watch/warning/advisory descriptions)..…….. 15 Convective Weather 16 Tropical Weather 17 Winter Weather 18 Hydrology 19 Coastal Flood 20 Marine Weather 21 Non-Precipitation 23 Fire Weather 24 Other 25 Statements 25 Other Non-Routine Products 26 Extreme Weather Wording 27 Verification and Performance Goals 28 Impact-Based Decision Support Services 30 Requesting a Spot Fire Weather Forecast 33 Hazardous Materials Emergency Support 34 Interactive Warning Team 37 HazCollect 38 Damage Surveys 40 Storm Data 44 Information Requests 46 3. -
Berks Alert Subscriber Registration Instructions
Subscriber Registration Instructions Updated 10/30/2019 What is Berks Alert? When situations arise in Berks County that may affect you and your family, Berks Alert lets local officials notify you quickly. Be among the first to find out and stay informed during an emergency. Get voice, text, or email alerts about emergencies and severe weather on your cell or email. Register / Sign In Once you have filled out the online registration form and confirmed your email address you are registered to receive alerts. If you have already registered on this web portal and are returning to update your contact information, please sign in using the email address you used to register and the password you created during the registration process. Registering for Berks Alert through Swift911 ➢ Access the Berks Alert webpage at: ➢ New users click on Register Now! New Subscriber Registration Window In this window you will be registering your basic information on the web portal and setting up your username (which is your email address) and password in order to be able to log back in at any time to update your information. This document will provide detailed instructions on how to register and set up your account. New Subscriber Registration – Enter Your Information ➢ Name: Enter your first and last name. ➢ Main Phone: Enter your primary phone number. Note: You will be able to add additional phone numbers later. ➢ Text/SMS: Check this box if you want to receive text/SMS alerts at the phone number you just entered. ➢ Email: Enter your email address. This will be your user name. -
The Role of Serial European Windstorm Clustering for Extreme Seasonal
The role of serial European windstorm clustering for extreme seasonal losses as determined from multi-centennial simulations of high resolution global climate model data Matthew D. K. Priestley, Helen F. Dacre, Len C. Shaffrey, Kevin I. Hodges, Joaquim G. Pinto Response to reviewer 1 Dear Reviewer, We thank you for the comments and suggestions that you have made to our manuscript, which have helped improve its quality. Please find below a response to all of your comments and questions raised. Any page and line numbers refer to the initial NHESSD document. The italicised black text are the comments to the manuscript. Our responses are in red with any changes described. An amended version of the manuscript has also been uploaded to highlight the changes. In the marked version, text which has been removed has been struck through, with new additions being in red. This paper presents an analysis of temporal clustering of extratropical cyclones in the North Atlantic and the associated windstorm losses over central Europe. The studies shows the seasonally aggregated losses are substantially underestimated if temporal clustering is not taken into consideration. Also the relative contribution of the cyclone resulting in the highest losses per season to the overall seasonal losses is investigated. This contribution is very variable and ranges between 25 to 50%. The study makes use of decadal hindcasts to analyze hundreds of years of present day simulations and statistics based on this large sample are very robust. The quality of the text, the figures and the science is high. The only point that should be scrutinized is the GPD fit to the ERA- interim data. -
Dealing with Inconsistent Weather Warnings: Effects on Warning Quality and Intended Actions
Research Collection Journal Article Dealing with inconsistent weather warnings: effects on warning quality and intended actions Author(s): Weyrich, Philippe; Scolobig, Anna; Patt, Anthony Publication Date: 2019-10 Permanent Link: https://doi.org/10.3929/ethz-b-000291292 Originally published in: Meteorological Applications 26(4), http://doi.org/10.1002/met.1785 Rights / License: Creative Commons Attribution 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library Received: 11 July 2018 Revised: 12 December 2018 Accepted: 31 January 2019 Published on: 28 March 2019 DOI: 10.1002/met.1785 RESEARCH ARTICLE Dealing with inconsistent weather warnings: effects on warning quality and intended actions Philippe Weyrich | Anna Scolobig | Anthony Patt Climate Policy Group, Department of Environmental Systems Science, Swiss Federal In the past four decades, the private weather forecast sector has been developing Institute of Technology (ETH Zurich), Zurich, next to National Meteorological and Hydrological Services, resulting in additional Switzerland weather providers. This plurality has led to a critical duplication of public weather Correspondence warnings. For a specific event, different providers disseminate warnings that are Philippe Weyrich, Climate Policy Group, Department of Environmental Systems Science, more or less severe, or that are visualized differently, leading to inconsistent infor- Swiss Federal Institute of Technology (ETH mation that could impact perceived warning quality and response. So far, past Zurich), 8092 Zurich, Switzerland. research has not studied the influence of inconsistent information from multiple Email: [email protected] providers. This knowledge gap is addressed here. -
List of Participants
WMO Sypmposium on Impact Based Forecasting and Warning Services Met Office, United Kingdom 2-4 December 2019 LIST OF PARTICIPANTS Name Organisation 1 Abdoulaye Diakhete National Agency of Civil Aviation and Meteorology 2 Angelia Guy National Meteorological Service of Belize 3 Brian Golding Met Office Science Fellow - WMO HIWeather WCRP Impact based Forecast Team, Korea Meteorological 4 Byungwoo Jung Administration 5 Carolina Gisele Cerrudo National Meteorological Service Argentina 6 Caroline Zastiral British Red Cross 7 Catalina Jaime Red Cross Climate Centre Directorate for Space, Security and Migration Chiara Proietti 8 Disaster Risk Management Unit 9 Chris Tubbs Met Office, UK 10 Christophe Isson Météo France 11 Christopher John Noble Met Service, New Zealand 12 Dan Beardsley National Weather Service NOAA/National Weather Service, International Affairs Office 13 Daniel Muller 14 David Rogers World Bank GFDRR 15 Dr. Frederiek Sperna Weiland Deltares 16 Dr. Xu Tang Weather & Disaster Risk Reduction Service, WMO National center for hydro-meteorological forecasting, Viet Nam 17 Du Duc Tien 18 Elizabeth May Webster South African Weather Service 19 Elizabeth Page UCAR/COMET 20 Elliot Jacks NOAA 21 Gerald Fleming Public Weather Service Delivery for WMO 22 Germund Haugen Met No 23 Haleh Kootval World Bank Group 24 Helen Bye Met Office, UK 25 Helene Correa Météo-France Impact based Forecast Team, Korea Meteorological 26 Hyo Jin Han Administration Impact based Forecast Team, Korea Meteorological 27 Inhwa Ham Administration Meteorological Service -
Future of Red Flag Warnings
FUTURE OF RED FLAG WARNINGS LARRY VAN BUSSUM NATIONAL FIRE WEATHER OPERATIONS COORDINATOR NATIONAL WEATHER SERVICE “RED FLAG WARNING” • Fire weather warnings issued since 1916 • Termed “Red Flag Warning/Red Flag Watch) in the 1950’s/1960’s • Ranger districts would literally raise a red flag on the flag pole when a warning was in effect to let people know, visually, that a watch or warning was in effect. • South Canyon fire (July, 1994) kills 14 firefighters • Page L4 of report indicates that there was confusion on whether a watch or warning was in effect and what those terms mean. Later investigation found that since the forecasts/watches/warnings are often read over the radio by dispatchers, static may result in confusion as to whether a “Red Flag” warning or “Red Flag” watch is in effect. To alleviate this, the name of the watch was changed to “Fire Weather Watch” so there would be no confusion over whether a watch or warning was in effect. • The RFW was NEVER meant to be used by the public. This product is produced and intended for firefighters and fire managers. Due to the public nature of NWS products, the public has access to the RFWs, but as of today, the NWS and the land management agencies have no “public” watch/warning product for wildland fires. • Term “Red Flag Warning” is ingrained in firefighters and fire managers as something to be alert about. Very little likelihood that the term will be dropped for another name, especially as the forecasts, watches and warnings are still read over the radio to firefighters in the field and the possibility of mishearing the watch/warning still exists. -
Covariance of Storm Hazards in the Atlantic Basin Michael Angus, Gregor C
Covariance of Storm Hazards in the Atlantic Basin Michael Angus, Gregor C. Leckebusch & Ivan Kuhnel Royal Meteorological Society Atmospheric Science Conference 2019 Are Regional Climate Perils Related? Risk of Global Weather Connections, Lloyd’s and Met Office 2016 2 Hypothesis The Atlantic Hurricane Season and European winter windstorm season are not independent from one another A pathway exists between the two through a climate teleconnection 3 Hypothesised pathways Gray 1984 Scaife et al. 2017 4 Hypothesised pathways Fan and Schneider 2012 Hallam et al. 2019 Wild et al. 2015, Dunstone et al. 2016 5 Data Limitations Atlantic Basin Reliable count data for both Tropical and Extratropical Cyclones only in the satellite era (1979-present) Extend by building event climatology from Pearson Correlation coefficient: -0.2 Ensemble Prediction Not significant at the 95th percent confidence level Tropical Cyclone count: IBTrACS best Track data System Extratropical Cyclone count: Cyclone Tracking in ERA-interim 6 Methodology Repurpose a forecast ensemble to treat each ensemble member as a different climate realization National Hurricane Center, Hurricane Katrina Uncertainty August 25th 7 Ensemble Prediction System European Centre for Medium Range Weather Forecasting (ECMWF) System 5 EPS (SEAS5) 51 ensemble members over 36 years (1981-2016), total of 1836 model years Initialised 1st of each month, run for 7 months. Selected 1st of August initialisation to cover peak Atlantic Hurricane Season (Aug-Oct) and peak European Windstorm season (Dec-Feb) Horizontal grid spacing TCo319 (~35km, cubic grid) 8 Event Tracking Methodology Find Clusters of 98th percentile Hurricane Floyd Hurricane Sandy windspeed exceedance (Leckebusch et al. 2008) Track storms over time using nearest neighbour approach (WiTRACK; Kruschke 2015) Focus on area of damaging winds, rather than central core pressure 9 Event Tracking Methodology EUMETSAT storm track, from Meteo Sat-9 Air Mass Product. -
Future Changes in European Windstorm Severities and Impacts Jennifer L Catto Alex Little* Matthew Priestley
Future changes in European windstorm severities and impacts Jennifer L Catto Alex Little* Matthew Priestley University of Exeter *Now at JBA Risk. EGU 2021 Session AS1.6 - Fri, 30 Apr, 13:30–15:00 (CEST) Introduction Motivation Research Questions • Future climate changes will be felt through changes in the weather systems. • How will the severity of European windstorms change in the future? • In Europe one of the most important weather systems is extratropical cyclones. • How will the impacts of European • There are currently a lot of uncertainties windstorms change in the future? around how the frequency and intensity of extratropical cyclones will change over • What will be the role of adaptation to Europe, associated with competing storm severity for decreasing the impacts? dynamical effects, and global climate model uncertainties. • How will future population changes • Another aspect of uncertainty comes from influence the impacts of European the different ways in which intensity is windstorms? defined. • Using models from the latest suite of CMIP, and applying a storm severity index, we investigate future changes in characteristics of windstorms over Europe. December 2020 Alex Little II. POPULATION DENSITY PROJECTIONS Methods and Data December 2020 Alex Little H SSP5 Lagrangian Feature Tracking - Using TRACK (HodgesII. PopulationPOPULATION data DENSITY1980 – 2010 PROJECTIONS 1994,1995) applied to 6-hourly 850hPa relative SSP2 Population data are vorticity (truncated to T42 resolution) from ERA5 taken from the (1980-2010) and 8 CMIP6 models. Socioeconomic data Models and applications ACCESS-CM2 MIROC6 center (SEDAC) at https://sedac.ciesin.co BCC-CSM2-MR MPI-ESM1.2-HR H lumbia.edu/data/set/pSSP5 SSP2 1980 – 2010 EC-Earth3 MPI-ESM1.2-LR opdynamics-1-8th- pop-base-year- KIOST-ESM MRI-ESM2-0 F1 F1 2040 – 2070 2040 – 2070projection-ssp-2000- Present day: Historical simulations for 1980-2010. -
The Role of Serial European Windstorm Clustering for Extreme Seasonal
Nat. Hazards Earth Syst. Sci., 18, 2991–3006, 2018 https://doi.org/10.5194/nhess-18-2991-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License. The role of serial European windstorm clustering for extreme seasonal losses as determined from multi-centennial simulations of high-resolution global climate model data Matthew D. K. Priestley1, Helen F. Dacre1, Len C. Shaffrey2, Kevin I. Hodges1,2, and Joaquim G. Pinto3 1Department of Meteorology, University of Reading, Reading, UK 2NCAS, Department of Meteorology, University of Reading, Reading, UK 3Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany Correspondence: Matthew D. K. Priestley ([email protected]) Received: 1 June 2018 – Discussion started: 18 June 2018 Revised: 4 October 2018 – Accepted: 26 October 2018 – Published: 12 November 2018 Abstract. Extratropical cyclones are the most damaging nat- the accumulated seasonal loss does not change with return ural hazard to affect western Europe. Serial clustering occurs period, generally ranging between 25 % and 50 %. when many intense cyclones affect one specific geographic Given the realistic dynamical representation of cyclone region in a short period of time which can potentially lead to clustering in HiGEM, and comparable statistics to ERA- very large seasonal losses. Previous studies have shown that Interim, we conclude that our estimation of clustering and its intense cyclones may be more likely to cluster than less in- dependence on the return period will be useful for informing tense cyclones. We revisit this topic using a high-resolution the development of risk models for European windstorms, climate model with the aim to determine how important clus- particularly for longer return periods.