Locale NMHC Point(S) of Contact Additional Information States
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Klimaforschung Mit Satelliten Satellitendaten Zum Sprechen Bringen Seit 20 Jahren Arbeitet Beim Deutschen Wetterdienst Eine Grup
Klimaforschung mit Satelliten Satellitendaten zum Sprechen bringen Seit 20 Jahren arbeitet beim Deutschen Wetterdienst eine Gruppe von Expertinnen und Experten daran, das Klima mithilfe von Satellitendaten zu beobachten und Verän- derungen zu erfassen. Das Auswertezentrum für Satellitendaten zur Klimabeobach- tung, das so genannte Satellite Application Facility on Climate Monitoring, kurz CM SAF, stellt rund 3.500 Nutzern weltweit Datensätze zur Verfügung. Mit Hilfe dieser Da- ten können beispielsweise Photovoltaikanlagen besser geplant werden. Offenbach, 27. Mai 2019 – Sie heißen CLARA, CLAAS oder SARAH – was in der Me- teorologie zunächst nach Namen von Hochs und Tiefs klingt, entpuppt sich bei näherer Betrachtung als eine große virtuelle Karteikarte, auf der schier unendlich viele Satelli- tendaten über einen festgelegten Zeitraum zu einem Datensatz für die Klimaforschung geformt werden. Geschrieben wird eine solche Karteikarte wie CLARA, CLAAS oder SARAH vom Satellite Application Facility on Climate Monitoring, kurz CM SAF. Dieses Auswertezentrum für Satellitendaten zur Klimabeobachtung ist beim Deutschen Wet- terdienst (DWD) in der Offenbacher Zentrale angesiedelt. Es ist eines von insgesamt acht solchen Zentren, die europaweit gemeinsam von EUMETSAT, der europäischen Organisation zur Nutzung meteorologischer Satelliten, und seinen Mitgliedern betrie- ben werden. Ihre Aufgaben: Satellitendaten so zu übersetzen und darzustellen, dass sie von Wissenschaft, Forschung und Wirtschaft genutzt werden können. Beim CM SAF geht es darum, das Klima der Erde mithilfe von Satellitendaten über einen möglichst langen Zeitraum zu erfassen und zu erforschen und dabei Verände- rungen aufzuzeigen. Dazu analysieren die CM SAF-Expertinnen und -Experten aus Belgien, Deutschland, Finnland, Frankreich, Großbritannien, den Niederlanden, Schweden und der Schweiz die Rohdaten von Satelliten und schauen sich dann insbe- sondere den Energie- und Wasserkreislauf der Atmosphäre an. -
Manual on the WMO Information System
Manual on the WMO Information System Annex VII to the WMO Technical Regulations 2019 edition WEATHER CLIMATE WATER CLIMATE WEATHER WMO-No. 1060 Manual on the WMO Information System Annex VII to the WMO Technical Regulations 2019 edition WMO-No. 1060 EDITORIAL NOTE The following typographical practice has been followed: Standard practices and procedures have been printed in bold. Recommended practices and procedures have been printed in regular font. Notes have been printed in smaller type. METEOTERM, the WMO terminology database, may be consulted at http://public.wmo.int/en/ resources/meteoterm. Readers who copy hyperlinks by selecting them in the text should be aware that additional spaces may appear immediately following http://, https://, ftp://, mailto:, and after slashes (/), dashes (-), periods (.) and unbroken sequences of characters (letters and numbers). These spaces should be removed from the pasted URL. The correct URL is displayed when hovering over the link or when clicking on the link and then copying it from the browser. WMO-No. 1060 © World Meteorological Organization, 2019 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chair, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 81 17 CH-1211 Geneva 2, Switzerland Email: [email protected] ISBN 978-92-63-11060-2 NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. -
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. -
Scientific Collaborations (2014-2019)
Scientific Collaborations (2014-2019) NOAA ● National Environmental Satellite, Data and Information Service ○ Center for Satellite Applications and Research ○ CoastWatch ○ National Centers for Environmental Information ○ OceanWatch ● National Marine Fisheries Service ○ Alaska Fisheries Science Center ○ Northeast Fisheries Science Center ○ Northwest Fisheries Science Center ○ Pacific Islands Fisheries Science Center ○ Office of Science and Technology ○ Southeast Fisheries Science Center ○ Southeast Regional Office ○ Southwest Fisheries Science Center ● National Ocean Service ○ U.S. Integrated Ocean Observing System ■ Caribbean Regional Association for Coastal Ocean Observing (CARICOOS) ■ Gulf of Mexico Coastal Ocean Observing System (GCOOS) ● Gulf of Mexico Coastal Acidification Network (GCAN) ■ Mid-Atlantic Coastal Ocean Observing System (MARACOOS) ■ Pacific Islands Ocean Observing System (PacIOOS) ■ Southeast Coastal Ocean Observing Regional Association (SECOORA) ● Southeast Ocean and Coastal Acidification Network (SOCAN) ○ National Centers for Coastal Ocean Science ○ National Geodetic Survey ○ Office of National Marine Sanctuaries ■ Florida Keys National Marine Sanctuary ■ Flower Gardens Bank National Marine Sanctuary ■ National Marine Sanctuary of American Samoa ■ Olympic Coast National Marine Sanctuary ○ Office of Response and Restoration ● National Weather Service ○ Climate Prediction Center ○ Environmental Modeling Center ○ National Centers for Environmental Prediction ○ National Data Buoy Center ○ National Hurricane Center 1 ○ Office -
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 -
Page 1 of 22 Last Name First Name Affiliation Country A. Pastor Maria
EMS2019: list of participants who agreed to have their name published on-line (version of 13 September 2019, 11:30 CEST) Last name First name Affiliation Country A. Pastor Maria AEMET Spain Aaltonen Ari Finnish Meteorological Institute Finland Akansu Elisa Deutscher Wetterdienst Germany Albus-Moore Alexandra EUMETNET Belgium Altava-Ortiz Vicent SMC-Meteorological Service of Catalonia Spain Alvarez-Castro Carmen FONDAZIONE CMCC Italy Amorim Inês University of Porto, Portugal Portugal Andersen Henrik Steen European Environment Agency Denmark Andrade Cristina Polytechnic Institute of Tomar, NHRC.ipt Portugal Andreas Dahl Larsen Morten Technical University of Denmark Denmark Andrée Elin Technical University of Denmark Denmark Andrews Martin Met Office Hadley Centre United Kingdom Aniśkiewicz Paulina Institute of Oceanology PAN Poland Asgarimehr Milad German Research Centre for Geosciences Germany Audouin Olivier Météo France, CNRM France Badger Jake Technical University of Denmark Denmark Bange Jens University of Tübingen Germany Barantiev Damyan CAWRI-BAS Bulgaria Baronetti Alice University of Turin Italy Barrett Bradford U.S. Naval Academy United States Barry James University of Heidelberg Germany Båserud Line Norwegian Meteorological Institute Norway Batchvarova Ekaterina CAWRI-BAS Bulgaria Bazile Eric Météo-France/CNRS CNRM-UMR3589 France Beljaars Anton ECMWF United Kingdom Bell Louisa Climate Service Center Germany, HZG Germany Benassi Marianna CMCC FOUNDATION Italy Benestad Rasmus Norwegian Meteorological Institute Norway Benson Randall -
Diapositiva 1
The H-SAF precipitation products and their use for severe event monitoring Federico Porcù Department of Physics and Astronomy – University of Bologna Silvia Puca Italian Civil Protection Department outline • Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF); • H-SAF Precipitation Products; • H-SAF PP application to severe event monitoring; • H-SAF PP validation; • H-SAF webpage and product download. H-SAF objectives • To provide operational high quality level 2/3 products and develop new satellite products from existing and future satellites with time and space resolution to satisfy the needs of operational hydrology: o precipitation (liquid, solid, rate, accumulated); o soil moisture (large-scale, local-scale, surface, roots region); o snow parameters (cover, melting conditions, water equivalent). • To perform independent validation of the products for civil protection purposes (floods, landslides, avalanches), and for monitoring water resources. The activity includes: o downscaling/upscaling from observed/predicted fields to basin level; o fusion of satellite measurements with data from radar and raingauge networks; o assimilation of satellite-derived products in hydrological models; o assessment of the impact of the satellite-derived products on hydrological applications. H-SAF plan H-SAF Development Phase (2005-2010), completed on August 31, 2010. Continuous Development and Operation Phase (CDOP) (2010-2017): - CDOP-1 (2010-2012) ended in February 2012. To improve algorithms and processing scheme for H-SAF area (25°N to 75°N - 25°W to 45°E) ; - CDOP-2 March 2012 – February 2017. To extend algorithms and validation to Full Disk area and to new satellites. All the products are being generated routinely for the H-SAF area on a H-SAF operational chain in NRT mode. -
11.1 How to Make an International Meteorological Workstation Project Successful
11.1 HOW TO MAKE AN INTERNATIONAL METEOROLOGICAL WORKSTATION PROJECT SUCCESSFUL Hans-Joachim Koppert 1 Deutscher Wetterdienst, Offenbach, Germany Torben Strunge Pedersen Danish Meteorological Institute, Copenhagen, Denmark Bruno Zürcher MeteoSwiss, Zürich, Switzerland Paul Joe Meteorological Service of Canada, Toronto, Canada 1. INTRODUCTION partners. In the course of the project, they are refined when the respective sub-project work- The Deutsche Wetterdienst (DWD) together packages are initiated. with the German Military Geophysical Service (GMGO) started a new Meteorological Workstation project (NinJo) in 2000. Soon thereafter Meteo- Swiss and the Danish Meteorological Institute (DMI) joined the project. Just recently, the Meteorological Service of Canada (MSC) decided to become a member of the NinJo consortium. The aim of the project is to replace aging workstation systems (Kusch 1994, Koppert 1997) and to provide an unified environment to support forecasting and warning operations. Besides the development of new, or the integration of recently developed applications, it is necessary to provide most of the capabilities of the existing systems. Forecasters are conservative and often would like to stay with their old tools. So we are facing an enormous pressure to implement a system that does (nearly) everything better. Since NinJo is a multi-national project with 5 Figure 1: A NinJo window with 3 scenes: gridded partners, diverse hardware and software infra- data (left), surface observations ( top right), satellite structures, distributed development sites, and local image (bottom right) meteorological needs, a strong requirement is to built the software with a sound software architecture The following list shows NinJo’s main features : that could easily be adapted to the needs of the partners. -
DVAS - Data Visualization and Analysis Software: Processing and Analysis of the Radiosonding Data for the Next WMO Upper-Air Instruments Intercomparison UAII2021
Federal Department of Home Affairs FDHA Federal Office of Meteorology and Climatology MeteoSwiss DVAS - Data Visualization and Analysis Software: processing and analysis of the radiosonding data for the next WMO Upper-Air Instruments Intercomparison UAII2021 Frédéric P.A. Vogt1, Giovanni Martucci1, Ruud Dirksen2, Gonzague Romanens1, Luca Modolo1, Alexander Haefele1, Michael Sommer2, Christian Félix1, Volker Lehmann2, Holger Voemel3, David Edwards4, Stewart Taylor5, Tom Gardiner6, Mohd. Imran Ansari7, Emad Eldin Mahmoud8, Tim Oakley9, Isabelle Ruedi9, Krunoslav Premec9, Franz Berger2, and Bertrand Calpini1 1 - MeteoSwiss, Payerne, Switzerland ([email protected]); 2 - Lindenberg Meteorological Observatory, Deutscher Wetterdienst, Lindenberg, Germany; 3 - University Corporation for Atmospheric Research, UCAR, Boulder, CO, USA; 4 - Met office, Exeter, United Kingdom; 5 - EUMETNET; 6 - National Physical Laboratory (NPL), Hampton Road, Teddington, TW11 0LW Middlesex, UK; 7 - Indian Meteorological Department (IMD), Delhi, India; 8 - Egyptian Meteorological Authority, Cairo, Egypt; 9 - World Meteorological Organization (WMO), Geneva, Switzerland D701 ¦ EGU2020 -17779 ¦ 07.05.2020 1 WMO Upper-Air Instruments Intercomparison UAII2021 What: international comparison of upper-air instrument performances. Based on laboratory radiosonde test measurements, and multi-payload radiosonde flights in combination with ground-based remote sensing and in-situ aircraft measurements. When & Where: December 2020 (lab); August 2021 (flights) @ Lindenberg, Germany. Who: DWD (lead), MeteoSwiss, under the auspices of the WMO. Primary goals: 1. To test and evaluate as many operational radiosonde systems as possible at the same location and time. 2. To characterize the individual radiosondes with respect to their reproducibility and to determine the uncertainty of the different measured parameters. 3. To compare the different radiosonde systems to characterized reference systems employed in the GCOS Reference Upper Air Network (GRUAN). -
DWD's Climate Services Help to Adapt to Climate Change As Well As Possible
2010s 2000s 1990s 1980s 1970s 1960s 1950s DWD’s Climate Services Observing – Modelling – Consulting Foreword Dear readers, Climate change presents us with great challenges. Extreme weather events and changes in the climate can cause humanitarian disasters and huge damage to the environment. Decision-makers in politics, administration and business require meaningful information about the changing climate and the climate of the future to be able to develop preventive measures against the consequences of climate change. There is therefore demand for high spatial resolution information as well as information for specific fields of action, such as water management and health. The Deutscher Wetterdienst (DWD) regards the provision of climate information as a comprehen- sive and user-oriented service. The DWD has the biggest climate data collection in the whole of Germany and offers many years of experience in climate monitoring, climate modelling on different space and timescales and model result evaluation. The DWD is also well networked with other scientific institutions at the national and international level and ensures that customers are given state-of-the-art scientific information. Besides supplying data and information on various portals, a key aspect of our mission is communicating directly with and providing consultancy services to our customers. This also helps enhance users’ capability to use climate data in various areas of application. The DWD also assists in the development of climate services in other countries, including, in particular, developing countries. All these activities take account of the elements for successful climate services recommended by the Global Framework for Climate Services. Our aim in publishing this brochure is to provide a readable overview of all the climate services provided by the DWD. -
The Model Chain of the Deutscher Wetterdienst and Its Use in Operational Weather Forecasting
THE MODEL CHAIN OF THE DEUTSCHER WETTERDIENST AND ITS USE IN OPERATIONAL WEATHER FORECASTING M. KURZ Head , Department of Weather Forecasting, DWI) INTRODUCTION According to law the Deutscher Wetterdienst (DWD) has to guarantee the meteorological safety of air and sea navigation. The DWD has also to provide forecast information for a wide variety of users including the public, private enter- prises and media. These tasks are carried out in the business area ,Forecast Cus- tomers and media,, of the new organizational structure of the DWD. Within the international collaboration of the National Meteorological and Hydrological Services (NMHS's) organized by the World Meteorological Organi- zation (WMO), the DWD runs one of the Regional Specialized Meteorological Centres (RSMC's) of the Global Data Processing System (GDPS) of the World Weather Watch (WWW). In this function the DWD has to provide basic weather analyses and forecasts for Europe and the North Atlantic. The backbone of all activities of the DWD in weather forecasting is a chain of Numerical Weather Prediction (NWP)-models providing analyses as well as forecasts up to seven days ahead. In this paper this model chain and its use in operational forecasting is described. TI IF MODEL Cl IAIN The model chain of the DWD consists of three NWP models, namely - a global model (GM), - a limited area model covering Europe and the North Atlantic (called ,Europa- Modell,,, EM), and - a high resolution model covering Germany and the neighbouring countries (called ,Deutschland-Modell,,, DM). IBudl. Soc. (a . Cicnc.], Vol. XV, Mini. 1, 1995 120 (/// 1101) 13 (ILILV'OFFI/F/)EC7:c'C/I//I)V Ill /2/ (IL VII The global model (GM) has been derived from a similar model of the Euro- pean Centre for Medium Range Weather Forecasting (ECMWF).