2 European Nowcasting Conference
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The Importance of European Cooperation for Rainfall-Induced Hazards
The importance of European cooperation for rainfall-induced hazards. Who are we? • Members are the National Meteorological Services of European States • Provides for internal and external cooperation and collaboration • The primary governing body is the Assembly of Members • Two advisory bodies: • Science & Technology Advisory Committee (STAC) • Policy & Finance Advisory Committee (PFAC) GIE/EIG EUMETNET, Registered Number 0818.801.249 - RPM Bruxelles 30 EUMETNET Members The National Met Services of: Austria Latvia Belgium Luxemburg Croatia Malta Cyprus Montenegro Czech Rep. Netherlands Denmark Norway Estonia Poland Finland Portugal France Serbia Germany Slovenia Greece Spain Hungary Sweden Iceland The FYROM Ireland Switzerland Italy United Kingdom GIE/EIG EUMETNET, Registered Number 0818.801.249 - RPM Bruxelles EUMETNET Mission To help its Members to develop and share their individual and joint capabilities through cooperation programmes that enable enhanced networking, interoperability, optimisation and integration within Europe; and also to enable collective representation with European bodies in order that these capabilities can be exploited effectively. From EUMETNET Strategy GIE/EIG EUMETNET, Registered Number 0818.801.249 - RPM Bruxelles EUMETNET Vision By 2020 EUMETNET will have enabled its Members to provide a cost efficient, world-class, shared infrastructure that is significantly more interoperable and integrated with shared basic services. These improvements will enable Members to better fulfil their official duties, enhance -
ERA4CS Additional Activities: Mapping of European and International Activities
ERA4CS Additional Activities: Mapping of European and International Activities Work Package 7 - Deliverable 3 Delivery date: 30.1.2017 (revision 6.10.2017) Dissemination Level: Public Authors: Mikko Strahlendorff (FMI, Patrick Monfray (ANR), Jörg Cortekar (GERICS), Bart van den Hurk (KNMI), Thanasis Sfetsos (DEMOKRITOS), Chris Hewitt (UKMO), Fernando Belda (AEMET) and Harilaos Loukos (Climate-KIC) Lead beneficiary: FMI Project full title: ERA-NET Cofund “European Research Area for Climate Services” Project acronym: ERA4CS Grant Agreement number: 690462 Project start date: 1st January 2016 Funding scheme: Horizon 2020 SC5-02-2015 Duration: 60 months Table of contents Introduction ........................................................................................................................................................................ 4 Global initiatives ............................................................................................................................................................... 5 World Meteorological Organisation ..................................................................................................................... 5 Global Framework for Climate Services ......................................................................................................... 5 Global Climate Observing System ..................................................................................................................... 5 World Climate Research Program ................................................................................................................... -
30Th Computing Representatives' Meeting
30th Computing Representatives’ meeting 16-18 May 2018 List of participants Aalto, Mikko FMI Finland [email protected] Allouache, Caroline Meteo France France [email protected] Andritsos, Nikolaos HNMS, Computing Representative Greece [email protected] Corredor, Raul AEMET Spain [email protected] Curic, Sinisa RHMSS Serbia [email protected] Daly, Thomas Met Éireann Ireland [email protected] de Vries, Hans KNMI Netherlands [email protected] Elliott, Simon EUMETSAT Germany [email protected] Facciorusso, Leonardo Italian Weather Center Italy [email protected] Gal, Pavel CHMI Czech Republic [email protected] Giraud, Remy Météo-France France [email protected] Ihasz, Istvan OMSZ Hungary [email protected] Kushida, Noriyuki CTBTO Austria [email protected] ECMWF, Shinfield Park, Reading, Berkshire, RG2 9AX, UK Langer, Matthias ZAMG Austria [email protected] Magnússon, Garðar Þór Icelandic Met Office Iceland [email protected] Malovic, Vladimir DHMZ Croatia [email protected] Melanitis, Dimitra Royal Meteorologic Institute Belgium [email protected] Milton, Roger Met Office United Kingdom [email protected] Ostroveanu, Catalin National Meteorological Administration Romania [email protected] Pejcoch, Martin Grønlien MET Norway Norway [email protected] Reiter, Manuel Deutscher Wetterdienst Germany [email protected] Spaniel, Oldrich SHMU Slovakia [email protected] Speranza, Luciano Italian Weather Center (Air Force) Italy [email protected] -
ECMWF 41R2 Press Release
PRESS RELEASE 10 MARCH 2016 EUROPEAN MEDIUM-RANGE WEATHER FORECAST MODEL UPGRADED TO BEST EVER • More accurate global weather predictions at record-breaking resolution • Number of grid points tripled to 900 million, evenly distributed around the globe • Gain in predictability of up to half a day at same level of quality Years of scientific and technical work came to fruition today as the European Centre for Medium-Range Weather Forecasts (ECMWF) launched a significant set of upgrades, dramatically increasing the quality of both its high-resolution and its ensemble forecasts. The changes nearly halve the distance between global weather prediction points, substantially increasing the effective resolution of the final forecast. As a result, ECMWF’s numerical weather predictions, which are widely used by Europe’s meteorological services, are more accurate than they have ever been before. These model upgrades represent a huge leap forward for ECMWF’s 34 Member and Co- operating States, giving National Meteorological Services access to higher resolution and improved data to help them deliver weather forecast services. Europe’s weather can now be predicted with more detail, with greater accuracy, and as a result, up to half a day further ahead. The upgrades are set to offer improved range, reliability and accuracy to provide earlier warnings of adverse conditions and extreme weather to help protect property and vital infrastructure, and to aid long-term planning for weather-dependent industries. Speaking for Météo-France, Nicole Girardot commented: “The ECMWF upgrade to its model resolution represents a significant step. The advances brought by this new version will allow Météo-France to improve the quality of its own forecasts and the wind forcing for warnings of poor air quality and dangerous conditions at sea. -
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. -
Quality of Composites
EUMETNET OPERA 4 Work Package OD12 12/10/2018 /2015 Quality of composites Günther Haase, Swedish Meteorological and Hydrological Institute Daniel Johnson, Swedish Meteorological and Hydrological Institute Page 1 of 2 EUMETNET OPERA 4 Work Package OD12 12/10/2018 /2015 Page 2 of 2 OD12: Quality of composites Günther Haase and Daniel Johnson Swedish Meteorological and Hydrological Institute, Norrköping, Sweden on behalf of EUMETNET OPERA OPERA Working Document WD_XXX May 15, 2018 1 Objective The bid for EUMETNET OPERA 4 describes the OD12 work package (Quality of composites) as follows: Monitoring of the quality of the composites. The bidders are requested to indicate how the quality is mea- sured. Note that some monitoring tools are proposed to be developed already when completing OD1-OD8. It is advisible to co-operate with users of radar composite data, such as NWP and hydrological modelers. The EUMETNET H-SAF, for instance, has tools (CAVAL Work Package) which are useful to assess the quality of rainfall composites. 2 Data 2.1 OPERA composites OPERA produces three different composites (Matthews et al., 2012) which are updated every quarter of an hour (at minute 00, 15, 30, and 45) and issued ca. 15 minutes after data time: • Precipitation intensity: each composite pixel is a weighted average of the lowest valid pixels of the contributing radars, weighted by the inverse of the beam altitude. Polar cells within a search radius of 2.5 km of the composite pixel are considered. Data measured below 200 m altitude are not used. Measured reflectivity values are converted to rainfall (mm/h) using the Marshall-Palmer equation. -
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. -
Monitoring Rainfall Accumulations Laurent Delobbe, RMI
EUMETNET OPERA 4 Work Package OD11 18/09/2017 Monitoring rainfall accumulations Laurent Delobbe, RMI Maryna Lukach, RMI Page 1 of 1 OPERA Development Task OD11b Monitoring rainfall accumulations Final report September 18, 2017 Laurent Delobbe and Maryna Lukach Royal Meteorological Institute of Belgium (RMIB) Introduction The OPERA Data Center (ODC) started the production of the OPERA composite in June 2011. Since then, the number of radars included in the composite increased considerably and some changes were implemented in the ODC processing. Within OPERA 4, the development task OD11 aims at improving the harmonization of the OPERA network in terms of reflectivity and rainfall accumulations. OD 11 has been split into three sub- tasks which have been originally formulated as follows: OD 11a : Monitoring and harmonization of reflectivity levels (DWD, 4 PM) OD 11b : Monitoring of individual radar accumulations (RMI, 2 PM) OD 11c : Gauge data for monitoring rainrates (UKMO, 2 PM) It must be pointed out that single radar accumulations are not produced by the OPERA Data Centre (ODC). The ODC accumulation product is generated by summation of the 15-min rainfall composites. Generating a new ODC single radar accumulation product is beyond the scope of OD11. Therefore, we focus in the present study on the evaluation of rainfall accumulations based on the 15-min rainfall rate composite. The final goal is to develop monitoring tools allowing to evaluate and to improve the quality of the ODC composite. In OD11b, we investigate evaluation tools which do not make use of raingauge stations. The evaluation based on comparison with raingauge measurements is addressed in OD 11c and OD12. -
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