WMO Guidelines on Multi-Hazard Impact-Based Forecast and Warning Services
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Worldwide Marine Radiofacsimile Broadcast Schedules
WORLDWIDE MARINE RADIOFACSIMILE BROADCAST SCHEDULES U.S. DEPARTMENT OF COMMERCE NATIONAL OCEANIC and ATMOSPHERIC ADMINISTRATION NATIONAL WEATHER SERVICE January 14, 2021 INTRODUCTION Ships....The U.S. Voluntary Observing Ship (VOS) program needs your help! If your ship is not participating in this worthwhile international program, we urge you to join. Remember, the meteorological agencies that do the weather forecasting cannot help you without input from you. ONLY YOU KNOW THE WEATHER AT YOUR POSITION!! Please report the weather at 0000, 0600, 1200, and 1800 UTC as explained in the National Weather Service Observing Handbook No. 1 for Marine Surface Weather Observations. Within 300 nm of a named hurricane, typhoon or tropical storm, or within 200 nm of U.S. or Canadian waters, also report the weather at 0300, 0900, 1500, and 2100 UTC. Your participation is greatly appreciated by all mariners. For assistance, contact a Port Meteorological Officer (PMO), who will come aboard your vessel and provide all the information you need to observe, code and transmit weather observations. This publication is made available via the Internet at: https://weather.gov/marine/media/rfax.pdf The following webpage contains information on the dissemination of U.S. National Weather Service marine products including radiofax, such as frequency and scheduling information as well as links to products. A listing of other recommended webpages may be found in the Appendix. https://weather.gov/marine This PDF file contains links to http pages and FTPMAIL commands. The links may not be compatible with all PDF readers and e-mail systems. The Internet is not part of the National Weather Service's operational data stream and should never be relied upon as a means to obtain the latest forecast and warning data. -
December 2013 from the Editor
Volume 57, Number 3 December 2013 From the Editor Paula M. Rychtar MARINERS WEATHER LOG ISSN 0025-3367 Greetings and welcome to the December issue of the Mariners Weather Log. This issue U.S. Department of Commerce ushers in the Holiday Season and the end of another year as well as the end of another hurricane season. I hope this issue finds all in good spirits, safe and sound. Dr. Kathryn D. Sullivan Under Secretary of Commerce for If you read my last editors note, I touched on the importance of marine weather observations Oceans & Atmosphere & NOAA Administrator for the accuracy of forecasts, environmental studies and improving guidance towards better Acting Administrator hurricane forecast tracks; this in turn is part of the equation for seasonal hurricane outlooks. Now that hurricane season is finally over, we can reflect on hurricane season 2013. In May NATIONAL WEATHER SERVICE of 2013, the initial hurricane outlook that was issued turned out extremely different from the Dr. Louis Uccellini actual outcome. NOAA is continuously dealing with the cause and effect of climate change NOAA Assistant Administrator for and predicting hurricane seasons is no different. Looking back at 2013, it was predicted Weather Services that our season would be “active or extremely active”. We were expected a 70 percent likelihood of 13 to 20 named storms, of which 7 to 11 could become hurricanes, including EDITORIAL SUPERVISOR 3 to 6 major hurricanes. As it turns out, this year was the sixth least active season in the Paula M. Rychtar Atlantic Ocean since 1950. 13 named storms formed in the Atlantic and only two, Ingrid LAYOUT AND DESIGN and Humberto, became hurricanes which neither achieved category 3 status or higher. -
NOTICE: This Publication Is Available At
Department of Commerce • National Oceanic & Atmospheric Administration • National Weather Service NATIONAL WEATHER SERVICE INSTRUCTION 10-807 OCTOBER 5, 2017 Operations and Services Aviation Weather Services, NWSPD 10-8 INTERNATIONAL SERVICE AGREEMENTS NOTICE: This publication is available at: http://www.nws.noaa.gov/directives/. OPR: W/AFS24 (M. Graf) Certified by: W/AFS24 (W. Bauman) Type of Issuance: Routine SUMMARY OF REVISIONS: This directive supersedes NWSI 10-807, “International Service Agreements,” dated May 19, 2009. Changes were made to reflect the NWS Headquarters reorganization effective on April 1, 2015. No content changes were made. Signed 9/21/2017 Andrew D. Stern Date Director Analyze, Forecast, and Support Office NWSI 10-807 OCTOBER 5, 2017 International Service Agreements Table of Contents Page 1. Purpose. ..................................................................................................................................... 2 2. Background. ............................................................................................................................... 2 3. Definition of Unique Terms. ................................................................................................................ 3 4. General ............................................................................................................................................ 3 5. Correspondence with Foreign Meteorological Services. ................................................................. 4 6. Services Provided. -
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 -
HURRICANE TEDDY (AL202020) 12–23 September 2020
r d NATIONAL HURRICANE CENTER TROPICAL CYCLONE REPORT HURRICANE TEDDY (AL202020) 12–23 September 2020 Eric S. Blake National Hurricane Center 28 April 2021 NASA TERRA MODIS VISIBLE SATELLITE IMAGE OF HURRICANE TEDDY AT 1520 UTC 22 SEPTEMBER 2020. Teddy was a classic, long-lived Cape Verde category 4 hurricane on the Saffir- Simpson Hurricane Wind Scale. It passed northeast of the Leeward Islands and became extremely large over the central Atlantic, eventually making landfall in Nova Scotia as a 55-kt extratropical cyclone. There were 3 direct deaths in the United States due to rip currents. Hurricane Teddy 2 Hurricane Teddy 12–23 SEPTEMBER 2020 SYNOPTIC HISTORY Teddy originated from a strong tropical wave that moved off the west coast of Africa on 10 September, accompanied by a large area of deep convection. The wave was experiencing moderate northeasterly shear, but a broad area of low pressure and banding features still formed on 11 September a few hundred n mi southwest of the Cabo Verde Islands. Convection decreased late that day, as typically happens in the evening diurnal minimum period, but increased early on 12 September. This convection led to the development of a well-defined surface center, confirmed by scatterometer data, and the formation of a tropical depression near 0600 UTC 12 September about 500 n mi southwest of the Cabo Verde Islands. The “best track” chart of the tropical cyclone’s path is given in Fig. 1, with the wind and pressure histories shown in Figs. 2 and 3, respectively. The best track positions and intensities are listed in Table 1.1 After the depression formed, further development was slow during the next couple of days due to a combination of northeasterly shear, dry air in the mid-levels and the large size and radius of maximum winds of the system. -
Papua New Guinea Meteorological Service Country Report
PAPUA NEW GUINEA METEOROLOGICAL SERVICE COUNTRY REPORT Reporting on National Priority Actions of the Pacific Islands Meteorological Strategy (PIMS) 2012-2021 This Report is presented to the Fourth Pacific Meteorological Council (PMC-4) Meeting held in Honiara from 14-18 August 2017 SAMUEL MAIHA [email protected] Table of Contents 1.0 Summary .................................................................................................................................................................................................................. 3 2.0 Background Information .......................................................................................................................................................................................... 5 2.1 Institutional Setup ................................................................................................................................................................................................ 5 [This subsection will cover an UPDATE of the brief on the institutional arrangement of the NMHS as well as its linkages to the Ministry. Make mention of the legislation or any Acts to support the NMS.] .................................................................................................................................... 5 2.2 Staffing ................................................................................................................................................................................................................. 8 -
Climate Services to Support Adaptation and Livelihoods
In cooperation with: Published by: Climate-Smart Land Use Insight Brief No. 3 Climate services to support adaptation and livelihoods Key Messages f Climate services – the translation, tailoring, f It is not enough to tailor climate services to a packaging and communication of climate data to specifc context; equity and inclusion require meet users’ needs – play a key role in adaptation paying attention to the differentiated needs of to climate change. For farmers, they provide vital men and women, Indigenous Peoples, ethnic information about the onset of seasons, temperature minorities, and other groups. Within a single and rainfall projections, and extreme weather community, perspectives on climate risks, events, as well as longer-term trends they need to information needs, preferences for how to receive understand to plan and adapt. climate information, and capacities to use it may vary, even just refecting the different roles that f In ASEAN Member States, where agriculture is men and women may play in agriculture. highly vulnerable to climate change, governments already recognise the importance of climate f Delivering high-quality climate services to all services. National meteorological and hydrological who need them is a signifcant challenge. Given institutes provide a growing array of data, the urgent need to adapt to climate change and disseminated online, on broadcast media and via to support the most vulnerable populations and SMS, and through agricultural extension services sectors, it is crucial to address resource gaps and and innovative programmes such as farmer feld build capacity in key institutions, so they can schools. Still, there are signifcant capacity and continue to improve climate information services resource gaps that need to be flled. -
Objective Mixed and Manually Controlled Data Base OMG
EMS Annual Meeting Abstracts, 9th UROPEAN EMS Annual Meeting 9TH E ON Vol. 6, EMS2009-115, 2009 CONFERENCE Applications of Meteorology 9th EMS / 9th ECAM High resolution meteorology © Author(s) 2009 - applications and services Objective Mixed and Manually Controlled Data Base OMG T. Kratzsch and Dr. M. Rohn German National Weather Service, Deutscher Wetterdienst (DWD), Offenbach, Germany ([email protected], 069-8062 2254 Many customers of Deutscher Wetterdienst get forecast products (different deterministic meteorological pa- rameters) as so-called Point-Time-Prognoses (PTPs). There’s the need for data of high resolution in space (several kilometers, cities) and time (hourly up to forecast-day 7, updated each hour). Those interpretations of the numerical models have been designed by different methods, called DMO, Model Output Statistics (MOS), Kalman filtering. Because of different model results and different methods there are between five and ten different PTPs for the same location. While a forecaster, based on his experience, can choose between that different interpretations, an automatic customers supply can’t do so. Because updates of those interpretations are only available for each new model run, there’s also the need for more actual forecast data, using nowcasting methods as well as controlling and modifying mechanisms for the forecasters. A process “Objective Optimization” has been implemented which automatically combines the available PTP data, nowcasting products and observations at all required locations. A frequent update of this optimization process every 30 minutes ensures that the OOG is based on the latest available model, nowcasting, and observational information. The resulting so-called “Objectively Optimized Guidance” (OOG) passes an interactive quality control step to produce a “Man Modified output” (MMO). -
Service Assessment Hurricane Irene, August
Service Assessment Hurricane Irene, August 21–30, 2011 U.S. DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration National Weather Service Silver Spring, Maryland Cover Photographs: Top Left - NOAA GOES 13 visible image of Hurricane Irene taken at 12:32 UTC (8:32 a.m. EDT) on August 27, 2011, as it was moving northward along the east coast. Map of total storm rainfall for Hurricane Irene (NCEP/HPC) overlaid with photos of Hurricane Irene’s impacts. Clockwise from top right: • Damage to bridge over the Pemigewasset River/East Branch in Lincoln, NH (NH DOT) • Trees across road and utility lines in Guilford, CT (CT DEP) • Damage to homes from storm surge at Cosey Beach, East Haven, CT (CT DEP) • Flooding of Delaware River closes Rt. 29 in Trenton, NJ (State of New Jersey, Office of the Governor) • Damage from storm surge on North Carolina’s Outer Banks (USGS) • Damage to home from an EF1 tornado in Lewes, DE (Sussex County, DE EOC) • River flooding on Schoharie Creek near Lexington, NY (USGS) • Flood damage to historic covered bridge and road in Quechee, VT (FEMA) ii Service Assessment Hurricane Irene, August 21–30, 2011 September 2012 National Oceanic and Atmospheric Administration Dr. Jane Lubchenco, Administrator National Weather Service Laura Furgione, Acting Assistant Administrator for Weather Services iii Preface On August 21-29, 2011, Hurricane Irene left a devastating imprint on the Caribbean and U.S. East Coast. The storm took the lives of more than 40 people, caused an estimated $6.5 billion in damages, unleashed major flooding, downed trees and power lines, and forced road closures, evacuations, and major rescue efforts. -
Climate Change Scenarios in the Philippines
Climate change scenarios in the Philippines (COVER PAGE) February 2011 TABLE OF CONTENTS FOREWORD v EXECUTIVE SUMMARY 1 CHAPTER 1 INTRODUCTION 5 1.1 How the climate change scenarios were developed? 5 1.2 How were the downscaling techniques applied using the PRECIS model simulations or run? 8 1.3 How were uncertainties in the modeling simulations dealt with? 9 1.4 What is the level of confidence in the climate projections? 11 1.5 What are the possible applications of these model-generated climate scenarios? 12 CHAPTER 2 OBSERVED CLIMATE DATA 13 2.1 Current climate trends in the Philippines 16 CHAPTER 3 CLIMATE PROJECTIONS IN THE PHILIPPINES 22 3.1 Seasonal Temperature Change 25 3.2 Seasonal Rainfall Change 25 3.3 Extreme Temperature Events 26 3.4 Extreme Rainfall Events 27 3.5 Regional Projections 28 3.5.1 Climate Projections in 2020 & 2050 in provinces in Region 1 29 3.5.2 Climate Projections in 2020 & 2050 in provinces in Region 2 30 3.5.3 Climate Projections in 2020 & 2050 in provinces in CAR 31 3.5.4 Climate Projections in 2020 & 2050 in provinces in Region 3 32 3.5.5 Climate Projections in 2020 & 2050 in provinces in Region 4A 33 3.5.6 Climate Projections in 2020 & 2050 in provinces in Region 4B 34 3.5.7 Climate Projections in 2020 & 2050 in provinces in NCR 35 3.5.8 Climate Projections in 2020 & 2050 in provinces in Region 5 36 3.5.9 Climate Projections in 2020 & 2050 in provinces in Region 6 37 3.5.10 Climate Projections in 2020 & 2050 in provinces in Region 7 38 3.5.11 Climate Projections in 2020 & 2050 in provinces in Region 8 -
Meteorological Office
RURAL AFFAIRS AND ENVIRONMENT COMMITTEE SUBMISSION FROM THE METEOROLOGICAL OFFICE Introduction The Met Office is a Trading Fund Agency owned by MOD. It is a world leading organisation, both in the field of weather forecasting and climate prediction1, operating on a 24/7 basis with the highest standards of operational resilience. Responsible for providing forecasts on all timescales (from an hour ahead to 100+ yrs), the Met Office is uniquely positioned to support the Scottish Government’s response to changing incidence of severe weather events due to climate change. It is responsible - through its Public Weather Service - for providing the National Severe Weather Warning Service (NSWWS) for the whole of the UK. Unlike many other nations in Europe where weather and flood forecasting and warning are integrated into a single meteorological and hydrological agency, the Met Office has no direct responsibility for river or coastal flood forecasting. In Scotland, river (fluvial) flood forecasting is provided by the Scottish Environment Protection Agency (SEPA), with whom the Met Office works closely, providing daily rainfall and general weather forecast inputs, together with rainfall radar data for the Flooding Early Warning System (FEWS). The Met Office also provides storm tide and surge warnings for the coastal flood watch service introduced by SEPA in 2007. The historical data required by SEPA to develop an effective coastal flood warning system is not available though it is understood that investment in this initiative would allow development of the modelling capability required. Currently no agency provides warnings of localised flash flooding (also known as pluvial flooding), although the Met Office will give an indication of such risks alongside its weather forecasts.