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Manuel du Système mondial de traitement des données et de prévision (OMM-N° 485): Annexe IV du Règlement technique de l’OMM
Organisation météorologique mondiale (OMM) - OMM, 2021 (Édition 2019, mise à jour en 2021; OMM-No. 485)In 2022, the Commission for Observation, Infrastructure and Information Systems (INFCOM) decided to adopt WMO Integrated Processing and Prediction System and WIPPS as the new name and acronym of the future GDPFS (Recommendation 23 (INFCOM-2)). The process of changing GDPFS to WIPPS in the Manual on the GDPFS will occur progressively.
This manual is designed to facilitate cooperation in data-processing and forecasting among Members; to specify obligations of Members in the implementation of the Global Data-processing and Forecasting System (GDPFS); and to ensure adequate uniformi ...
Manuel du Système mondial de traitement des données et de prévision (OMM-N° 485): Annexe IV du Règlement technique de l’OMM
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Published by: OMM ; 2021 (Édition 2019, mise à jour en 2021)
In 2022, the Commission for Observation, Infrastructure and Information Systems (INFCOM) decided to adopt WMO Integrated Processing and Prediction System and WIPPS as the new name and acronym of the future GDPFS (Recommendation 23 (INFCOM-2)). The process of changing GDPFS to WIPPS in the Manual on the GDPFS will occur progressively.
This manual is designed to facilitate cooperation in data-processing and forecasting among Members; to specify obligations of Members in the implementation of the Global Data-processing and Forecasting System (GDPFS); and to ensure adequate uniformity and standardization in the practices and procedures employed in achieving these.Collection(s) and Series: OMM- No. 485
Language(s): French; Other Languages: English, Russian, Spanish
Format: Digital (Free)ISBN (or other code): 978-92-63-20485-1
Archives access: 2013-[...]Tags: Data processing ; Manual ; Global Data-processing and Forecasting System (GDPFS) ; Technical Publications
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Manual on the Global Data-processing and Forecasting System (WMO-No. 485): Annex IV to the WMO Technical Regulations
In 2022, the Commission for Observation, Infrastructure and Information Systems (INFCOM) decided to adopt WMO Integrated Processing and Prediction System and WIPPS as the new name and acronym of the future GDPFS (Recommendation 23 (INFCOM-2)). The process of changing GDPFS to WIPPS in the Manual on the GDPFS will occur progressively.
This manual is designed to facilitate cooperation in data-processing and forecasting among Members; to specify obligations of Members in the implementation of the Global Data-processing and Forecasting System (GDPFS); and to ensure adequate uniformi ...
Manual on the Global Data-processing and Forecasting System (WMO-No. 485): Annex IV to the WMO Technical Regulations
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Published by: WMO ; 2019 (Updated in 2021)
In 2022, the Commission for Observation, Infrastructure and Information Systems (INFCOM) decided to adopt WMO Integrated Processing and Prediction System and WIPPS as the new name and acronym of the future GDPFS (Recommendation 23 (INFCOM-2)). The process of changing GDPFS to WIPPS in the Manual on the GDPFS will occur progressively.
This manual is designed to facilitate cooperation in data-processing and forecasting among Members; to specify obligations of Members in the implementation of the Global Data-processing and Forecasting System (GDPFS); and to ensure adequate uniformity and standardization in the practices and procedures employed in achieving these.Collection(s) and Series: WMO- No. 485
Language(s): English; Other Languages: French, Russian, Spanish
Format: Digital (Free)ISBN (or other code): 978-92-63-10485-4
Archives access: 1992-[...]Tags: Global Data-processing and Forecasting System (GDPFS) ; PWS - Personnel Engaged in Operational Forecasting ; Data processing ; Manual ; Technical Publications ; CBS OPAG DPFS
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INDARE, Indian Ocean Data Rescue Initiative : summary report
This publication provides a summary of a capacity building workshop on Data Rescue (DARE), Quality Control (QC), Homogenisation and Climate Change Indices held in Arusha, Tanzania from 9-14 November 2015 as part of the implementation of the Indian Ocean Data Rescue (INDARE) initiative. The National Meteorological and Hydrological Services of Comoros, Kenya, Madagascar, Maldives, Mozambique, Seychelles, Sri Lanka and Tanzania participated in the workshop and received the necessary knowledge and software to undertake QC and homogenisation of their climate time series and use them for analysing c ...
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Available online: Full text
Published by: WMO ; 2016
This publication provides a summary of a capacity building workshop on Data Rescue (DARE), Quality Control (QC), Homogenisation and Climate Change Indices held in Arusha, Tanzania from 9-14 November 2015 as part of the implementation of the Indian Ocean Data Rescue (INDARE) initiative. The National Meteorological and Hydrological Services of Comoros, Kenya, Madagascar, Maldives, Mozambique, Seychelles, Sri Lanka and Tanzania participated in the workshop and received the necessary knowledge and software to undertake QC and homogenisation of their climate time series and use them for analysing climate change at the country level, based on well-known climate indices developed by the Expert Team on Climate Change Detection and Indices. The workshop was held under the auspices of the World Meteorological Organization with the scientific leadership of the Centre of Climate Change (C3) at the Univeristy Rovira i Virgili in Spain.
Language(s): English
Format: Digital (Free), Hard copyTags: Climate services ; Data processing ; Indian Ocean
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GAW Report, 226. Coupled Chemistry-Meteorology/ Climate Modelling (CCMM): status and relevance for numerical weather prediction, atmospheric pollution and climate research
Online coupled meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. This report provides the main conclusions from the Symposium on “Coupled Chemistry-Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and ...
Coupled Chemistry-Meteorology/ Climate Modelling (CCMM): status and relevance for numerical weather prediction, atmospheric pollution and climate research
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Published by: WMO ; 2016
Online coupled meteorology atmospheric chemistry models have undergone a rapid evolution in recent years. Although mainly developed by the air quality modelling community, these models are also of interest for numerical weather prediction and climate modelling as they can consider not only the effects of meteorology on air quality, but also the potentially important effects of atmospheric composition on weather. This report provides the main conclusions from the Symposium on “Coupled Chemistry-Meteorology/Climate Modelling: Status and Relevance for Numerical Weather Prediction, Air Quality and Climate Research” and an overall outcome of the European COST Action ES1004: European Framework for Online Integrated Air Quality and Meteorology Modelling (EuMetChem). It also contains the symposium abstracts and a review of the current research status of online coupled meteorology and atmospheric chemistry modelling, a survey of processes relevant to the interactions between atmospheric physics, dynamics and composition, and highlights selected scientific issues and emerging challenges, which require proper consideration to improve the reliability and usability of these models for three scientific communities: air quality, numerical meteorology modelling (including weather prediction) and climate modelling. It presents a synthesis of scientific progress in the form of answers on eight key questions and recommendations for future research directions and priorities in the development, application and evaluation of online coupled models.
Collection(s) and Series: WMO- No. 1172; GAW Report- No. 226
Language(s): English
Format: Digital (Free)ISBN (or other code): 978-92-63-11172-2
Tags: Data processing ; Numerical weather prediction ; Air pollution ; Climate model ; World Weather Research Programme (WWRP) ; Global Atmosphere Watch Programme (GAW) ; World Climate Research Programme (WCRP)
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GAW Report, 225. WMO/UNEP Dobson Data Quality Workshop
The Dobson Data Quality Workshop was the technological meeting of the Dobson total ozone data managers and experts from the central facilities of the Global Atmosphere Watch (GAW) Programme. The action was initiated by the recommendation of the 7th Ozone Research Managers Meeting that was held in Geneva, Switzerland, from 18-21 May 2008. The Scientific Advisory Group for Ozone (SAG-Ozone) of GAW provided expert guidance and the Solar and Ozone Observatory Hradec Kralove (SOO) of the Czech Hydrometeorological Institute (CHMI) took the responsibility for the local arrangements of the workshop th ...
World Meteorological Organization (WMO)
Event: WMO/UNEP Dobson Data Quality Workshop (14-18 February 2011; Hradec Kralove, Czech Republic)
Published by: WMO ; 2016The Dobson Data Quality Workshop was the technological meeting of the Dobson total ozone data managers and experts from the central facilities of the Global Atmosphere Watch (GAW) Programme. The action was initiated by the recommendation of the 7th Ozone Research Managers Meeting that was held in Geneva, Switzerland, from 18-21 May 2008. The Scientific Advisory Group for Ozone (SAG-Ozone) of GAW provided expert guidance and the Solar and Ozone Observatory Hradec Kralove (SOO) of the Czech Hydrometeorological Institute (CHMI) took the responsibility for the local arrangements of the workshop that was held in the Conference Centre “Nové Adalbertinum” in Hradec Kralove, Czech Republic. Financial support was provided by the Ozone Secretariat of UNEP from the Vienna Convention Trust Fund and by the Ministry for the Environment of the Czech Republic. The World Meteorological Organization (WMO) assisted in the distribution of this support.
Collection(s) and Series: GAW Report- No. 225
Language(s): English
Format: Digital (Free)Tags: Global Atmosphere Watch Programme (GAW) ; Data processing
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Trouver un boson de Higgs dans une botte de foin
Comme l’a montré l’article qui précède, la météorologie augmente rapidement sa capacité de gérer et de distribuer le volume croissant de données et d’informations produites par les Membres de l’OMM et diverses organisations. Il va de soi que d’autres branches scientifiques et techniques cherchent, elles aussi, le meilleur moyen de structurer d’énormes quantités de données. Et comme l’OMM, elles relèvent ce défi en mettant à profit l’expansion du réseau Internet, l’augmentation de la puissance des ordinateurs et l’affinement des logiciels.12
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Finding a Higgs Boson in a Haystack
When particles collide, data explodes. The Large Hadron Collider (LHC) at CERN produces roughly one million gigabytes of data per second.
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Valuing Investments In Data Processing and Forecasting Systems - The Implications of the KMA Experience
The three main operational components of daily weather production systems are real-time observing and data collection, routine global exchange of data and information and the systematic operational processing of data to produce meteorological analyses, numerical weather predictions (NWP) and weather forecasts and warnings. Thus, these three components – the Global Observing System (GOS), the WMO Information System (WIS), and the Global Data-processing and Forecasting System (GDPFS) – have formed the backbone of the World Weather Watch (WWW) System.
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GCOS, 174. Baseline Surface Radiation Network (BSRN) - Update of the Technical Plan for BSRN Data Management
This report provides information for scientists interested in high quality surface radiation data as well as for scientists running a BSRN station. It offers information about the available data, the data access and describes tools to visualize the data and to check their quality.
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GAW Report, 184. Technical Report of Global Analysis Method for Major Greenhouse Gases by the World Data Center for Greenhouse Gases
World Meteorological Organization (WMO) ; Mori Kazumasa; Hirahara Takatoshi; et al. - WMO, 2009 (WMO/TD-No. 1473)
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Guide to the WMO/GAW World Ultraviolet Radiation Data Centre, version 6.0
This document describes the procedures for data submission and information extraction at the World Ultraviolet Radiation Data Centre (WUDC), which is a subset of the World Ozone and Ultraviolet Radiation Data Centre (WOUDC). This document is intended as a guide for data originators and clients. The WOUDC web site is the primary medium for access to data, documentation and reports related to ozone and UV studies.
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DBCP Technical Document, 02. Reference Guide to the GTS Sub-system of the Argos Processing System - Revision 1.6
World Meteorological Organization (WMO) ; Intergovernmental Oceanographic Commission (IOC) - WMO, 2005The original Argos processing system was designed and implemented primarily to support the Global Weather Experiment in 1978/79. The processing requirement for the Global Telecommunication System (GTS) of WMO was intended to facilitate rapid global dissemination of data in standard format from the observation platforms (initially drifting buoys and constant level balloons) to the responsible research centres evaluating the observing systems. By the end of the 1980's, however, the diversity of users had expanded dramatically and it was apparent that the overall processing system was not well ma ...
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