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THORPEX Interactive Grand Global Ensemble

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The THORPEX Interactive Grand Global Ensemble ( TIGGE ) is an implementation of ensemble forecasting for global weather forecasting and is part of THORPEX , an international research programme established in 2003 by the World Meteorological Organization to accelerate improvements in the utility and accuracy of weather forecasts up to two weeks ahead.

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34-424: TIGGE is a key component of THORPEX, a World Weather Research Programme to accelerate the improvements in the accuracy of 1-day to 2 week high-impact weather forecasts for the benefit of humanity. Centralized archives of ensemble model forecast data, from many international centers, are used to enable extensive data sharing and research. The Unidata LDM software package is used to transport the ensemble model data from

68-493: A clearer picture of how the climate has changed. Reanalysis provides a four-dimensional picture of the atmosphere and effectively allows monitoring of the variability and change of global climate, thereby contributing also to the understanding and attribution of climate change. To date, and with support from Europe's National Meteorological Services and the European Commission, ECMWF has conducted several major reanalyses of

102-659: A day per decade, so that a seven-day forecast now (2015) is as accurate as a three-day forecast was four decades ago (1975). ECMWF's monthly and seasonal forecasts provide early predictions of events such as heat waves , cold spells and droughts, as well as their impacts on sectors such as agriculture, energy and health. Since ECMWF runs a wave model, there are also predictions of coastal waves and storm surges in European waters which can be used to provide warnings. Forecasts of severe weather events allow appropriate mitigating action to be taken and contingency plans to be put into place by

136-435: A major contribution to improving the accuracy and utility of NWP forecasts. ECMWF continuously endeavours to improve the use of satellite observations for NWP. ECMWF supports research on climate variability using an approach known as reanalysis . This involves feeding weather observations collected over decades into a NWP system to recreate past atmospheric, sea- and land-surface conditions over specific time periods to obtain

170-507: A specified model. All ensemble members are included in each forecast file. TIGGE appears to have been originally envisaged in the THORPEX International Research Implementation Plan (TIP) whose first draft was released on February 14, 2005. In the plan, TIGGE was viewed as a first step towards a Global Interactive Forecasting System (GIFS) (GIFS has still not been made available to the public). According to

204-496: A weather situation without having to define specific space- and time-dependent thresholds. ECMWF, through its partnerships with EUMETSAT, ESA, the EU and others, exploits satellite data for operational numerical weather prediction and operational seasonal forecasting with coupled atmosphere–ocean–land models. The increasing amount of satellite data and the development of more sophisticated ways of extracting information from that data have made

238-1059: Is a joint project involving the Meteorological Service of Canada (MSC) in Canada , the National Weather Service (NWS) in the United States , and the National Meteorological Service of Mexico (NMSM) in Mexico providing numerical weather prediction ensemble guidance for the 1- to 16-day forecast period. The NAEFS combines the Canadian MSC ( Global Environmental Multiscale Model ) and the US NWS global ensemble prediction systems ( Global Forecast System ), improving probabilistic operational guidance over what can be built from any individual country's ensemble. Model guidance from

272-461: Is an independent intergovernmental organisation supported by most of the nations of Europe. It is based at three sites: Shinfield Park , Reading , United Kingdom ; Bologna , Italy; and Bonn , Germany. It operates one of the largest supercomputer complexes in Europe and the world's largest archive of numerical weather prediction data. ECMWF was established in 1975, in recognition of the need to pool

306-500: Is moved at up to 30 GB/hour to NCAR. By requirement the parameter fields, atmospheric levels, and physical units are consistent across all data from the providers and encoded in WMO GRIB-2 format. In contrast, each provider may submit their model output in a resolution they choose. TIGGE data is available to the public for non-commercial research, with a 48-hour delay after forecast initialization time. The designated TIGGE archive centre

340-472: Is now at ECMWF via its TIGGE web portal Meteorological Archival and Retrieval System (MARS). It offers fast access to terabytes of data kept online and delayed access to data in the long term archives. Users can select parameters, grid resolution, and spatial subsets for the most current two-week period. Forecast files are organized by level type (single level, pressure level, potential vorticity level, and potential temperature level), and forecast time-step for

374-667: Is run 51 times in parallel, from slightly different initial conditions to give a spread of likelihood over the range of the forecast. As of 2021, the ECMWF's weather model is generally considered to be the most accurate weather forecasting model. ECMWF comprises 23 European countries: It also has co-operation agreements with other states: Bulgaria , Czech Republic , Georgia , Hungary , Israel , Latvia , Lithuania , North Macedonia , Montenegro , Morocco , Romania and Slovakia . North American Ensemble Forecasting System The North American Ensemble Forecast System ( NAEFS )

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408-401: Is used to produce an initial state of a computer model of the atmosphere, from which an atmospheric model is used to forecast the weather. These forecasts are typically: Over the past three decades ECMWF's wide-ranging programme of research has played a major role in developing such assimilation and modelling systems. This improves the accuracy and reliability of weather forecasting by about

442-559: The 2008 Beijing Olympics WWRP Research and Development Project. TIGGE was made operational over the coming years, and can now be accessed through multiple portals including the websites of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Center for Atmospheric Research (NCAR) in the United States . Data from TIGGE has been used in many meteorology papers. A 2010 review by Bougeault et al. surveyed

476-703: The Copernicus Atmosphere Monitoring Service (CAMS) and the Copernicus Climate Change Service (C3S). The Centre arranged to move its Copernicus operations away from Reading and into Bonn (Germany). The move has been directly attributed to Brexit . Numerical weather prediction (NWP) requires input of meteorological data, collected by satellites and earth observation systems such as automatic and crewed weather stations , aircraft (including commercial flights ), ships and weather balloons . Assimilation of this data

510-729: The Italian Government to move ECMWF's data centre to Bologna , Italy. The new site, a former tobacco factory, would be redesigned by the architecture firm gmp . During 2020, the Centre arranged to move its Copernicus operations away from Reading and into European Union territory. Following bids from Toulouse, Italy, Austria, Germany, Spain and Ireland, eventually Bonn (Germany) was chosen. The move has been directly attributed to Brexit . ECMWF aims to provide accurate medium-range global weather forecasts out to 15 days and seasonal forecasts out to 12 months. Its products are provided to

544-614: The NAEFS is incorporated into the forecasts of the respective national agencies. NAEFS operates on the fundamental principles of ensemble forecasting which provides a range of possible weather forecasts of the atmospheric state over a given forecast period. The initial state of the atmosphere and/or the numerical weather prediction model configuration are slightly varied to provide a range of possible forecast solutions. The global ensemble prediction systems at MSC and NWS use slightly different, but equally valid methods to initialize and integrate

578-687: The NWS global ensemble prediction system (GEFS), global forecast model (GFS) configuration and NWS NAEFS post-processed products can be found at the NWS National Centers for Environmental Prediction Central Operations website . The NWS provides global and downscaled ( CONUS and Alaska) and MSC provides global post-processed model guidance on various standard pressure-levels. MSC Global Environmental Multiscale Model ( GEM ) Products and probabilities (10%, 50%, 90%) Product Resolution NWS: downscaled CONUS 2.5 km, Alaska 3 km NAEFS has been

612-934: The U.S. held a workshop to start planning the research, development, and operational implementation of the NAEFS. The initial NAEFS development plan was completed in October 2003. Intensive work for the Initial Operational Capability implementation then began, and was successfully completed on schedule in September 2004. NAEFS was launched in November 2004 in the presence of representatives of the three countries. The NAEFS constituent ensemble prediction systems and post-processing techniques are continually upgraded to include improved scientific understanding of atmospheric phenomenon, advances in computational methods, and advances in computing, among other reasons. Implementation changes to

646-621: The United States . It also predicted the intensity and track of the November 2012 nor'easter , which impacted the east coast a week after Sandy. ECMWF's Extreme Forecast Index (EFI) was developed as a tool to identify where the EPS (Ensemble Prediction System) forecast distribution differs substantially from that of the model climate . It contains information regarding variability of weather parameters, in location and time and can highlight an abnormality of

680-440: The United States as the "European model") which is run every twelve hours and forecasts out to ten days. It includes both a "deterministic forecast" mode and an ensemble . The deterministic forecast is a single model run that is relatively high in resolution as well as in computational expense. The ensemble is relatively low (about half that of the deterministic) in resolution (and in computational expense), so less accurate. But it

714-406: The atmospheric state. By combining the ensembles from both centers into one ensemble, the possible range of future atmospheric states for a given forecast period are better sampled, producing on average, improved estimates of the future atmospheric state and the associated uncertainty. NAEFS collaboration allows the national weather agencies to pool their research resources and make improvements to

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748-462: The authorities and the public. The increased time gained by issuing accurate warnings can save lives, for instance by evacuating people from a storm surge area. Authorities and businesses can plan to maintain services around threats such as high winds, floods or snow. In October 2012 the ECMWF model suggested seven days in advance that Hurricane Sandy was likely to make landfall on the East Coast of

782-660: The dynamics, thermodynamics and composition of the Earth's atmosphere and for interacting parts of the Earth-system. It uses numerical weather prediction methods to prepare forecasts and their initial conditions, and it contributes to monitoring the relevant parts of the Earth system. The centre currently serves as the Entrusted Entity responsible for delivery of two of the Services of the EU's Copernicus Programme . The two services are

816-543: The ensemble prediction systems more quickly and efficiently. The exchange of knowledge allows research and operations to develop a new generation of ensemble products with the goal of improving timeliness and accuracy in alerting the public of high impact weather events. Officials from the MSC and the NWS first met in February 2003 to discuss building a joint ensemble prediction system. In May 2003, weather modeling experts from Canada and

850-492: The ensembles and considers whether combining them can yield even better forecasts than either one individually. In March 2014, the TIGGE-LAM (limited area model) was launched to improve on regional ensemble forecasts. Data from TIGGE has been used in many meteorology papers. The most common subject of the papers referencing TIGGE is tropical cyclones , suggesting that cyclones are an area where having two-week ensembles provides

884-591: The global atmosphere: the first ECMWF re-analysis (ERA-15) project generated reanalyses from December 1978 to February 1994; the ERA-40 project generated reanalyses from September 1957 to August 2002. The ERA-Interim reanalysis covered the period from 1979 onwards. A reanalysis product (ERA5) with higher spatial resolution (31 km) was released by ECMWF in 2019 as part of the Copernicus Climate Change Service . ECMWF's operational forecasts are produced from its " Integrated Forecast System " (sometimes informally known in

918-526: The most marginal value. Some research on TIGGE has compared it with the North American Ensemble Forecasting System (NAEFS) operated jointly by meteorological agencies in Canada , the United States , and Mexico . The research compares the ensembles and considers whether combining them can yield even better forecasts than either one individually. ECMWF The European Centre for Medium-Range Weather Forecasts ( ECMWF )

952-488: The national weather services of its member states and co-operating states as a complement to their national short-range and climatological activities, and those national states use ECMWF's products for their own national duties, in particular to give early warning of potentially damaging severe weather. ECMWF's core mission is to: To deliver this core mission, the Centre provides: The Centre develops and operates global atmospheric models and data assimilation systems for

986-566: The past work and future plans of TIGGE, and concluded: "We are convinced that the TIGGE databases will constitute a key resource for reaching the objective of THORPEX: the acceleration of the progress of the forecast skill for severe weather events from 1 day to 2 weeks ahead. This will be reached by a robust combination of research on the scientific basis of ensemble prediction, experimentation with new products, and development of new protocols and policies for data exchange across WMO Member States and across

1020-709: The plan: "The initial basic components of TIGGE will be global ensembles run to around 14 days, including those run currently at a number of operational centres." (p. 38) Interactivity was a key component of the original vision. According to the plan: "The concept of interactivity will be tested in the TIGGE framework. As a response to the day to day changes in uncertainty, extra observations could be called on in ‘sensitive areas’, ensemble size and resolution adjusted, and regional ensembles run as and when needed; all these adapting in real time to meet user needs." (p. 38) The following expected outcomes were listed (pp. 38–39): The first workshop devoted to setting up TIGGE

1054-547: The providers to the archive centers. Currently, the output from the ECMWF, UK Met Office (UKMO), National Centre for Medium Range Weather Forecasting - India (NCMRWF), Indian Meteorological Department (IMD), CMA, Japan Meteorological Agency (JMA), National Centers for Environmental Prediction (NCEP-USA), Meteorological Service of Canada (CMC), Bureau of Meteorology Australia (BOM), Centro de Previsao Tempo e Estudos Climaticos Brazil (CPTEC), Korea Meteorological Administration (KMA), and MeteoFrance (MF) global models, totaling 440 GB/day,

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1088-518: The science and application communities." Another 2010 paper provided a timeline with 2008-2012 as the development phase for the Global Interactive Forecasting System (GIFS) and 2012 onward as the implementation period. Some research on TIGGE has compared it with the North American Ensemble Forecasting System (NAEFS) operated jointly by meteorological agencies in Canada , the United States , and Mexico . The research compares

1122-419: The scientific and technical resources of Europe's meteorological services and institutions for the production of weather forecasts for medium-range timescales (up to approximately two weeks) and of the economic and social benefits expected from it. The Centre employs about 350 staff, mostly appointed from across the member states and co-operating states. In 2017, the centre's member states accepted an offer from

1156-544: Was held on March 1–3, 2005, at the European Centre for Medium-Range Weather Forecasts (ECMWF). The final report of the workshop laid out a plan for setting up the THORPEX TIGGE-GIFS working group as soon as possible and for setting up the infrastructure for TIGGE over the next few years, in time to contribute to proposed real-time THORPEX support for the International Polar Year field campaigns in 2007-08 and

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