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LATEST NEWS : Registration for ECMWF training courses in 2018 2019 is now closed. Visit our training catalogue to find more details and the registration page. |
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The objective of this course is to introduce users of ECMWF's computer services to the use of ECMWF's Cray supercomputing services, covering those areas of optimisation that will help the student to make more efficient use of the system and avoiding the areas which may adversely impact overall system performance.
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Introduction to ECMWF computing, services and the Meteorological Archival and Retrieval System (MARS) (not scheduled for 2018)
Course code: COM-INTRO
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ecCodes: GRIB and BUFR data decoding and encoding softwareCourse code: COM-ecCodes GRIB
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Large amounts of weather and satellite data are exchanged each day routinely in real-time around the world. Pre-defined and standardised data formats are essential to be able to make use of such weather information and observations. The BUFR is the primary format used operationally on the GTS for real-time global exchange of weather and satellite observations. BUFR is self-describing and is table-driven, that is, it is a single format that uses tables to encode a wide variety of meteorological data: land and ship observations; aircraft observations; wind profiler observations; radar data; climatological data, etc. ECMWF has developed ecCodes: a package developed by ECMWF which provides an application programming interface and a set of tools for decoding and encoding messages in the following formats:
ecCodes relies on a useful set of command line tools to provide quick access to the messages. C, Fortran 90 and Python interfaces provide access to the main ecCodes functionality. By the end of the course, participants will be familiar with a set of command line tools which provide an easy way to access and modify information contained in BUFR messages. They will also learn how to use encoding and decoding functions in their script
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Introduction to ECMWF job scheduler: ecFlow (2018)Course code: COM-ecFlow
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Data analysis and visualisation using Metview (not scheduled for 2018)(Click here to view previous edition of this course) Course code: COM-VIS
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Use and Interpretation of ECMWF productsNOTE: if you have been accepted for the course apply for a login UserID and password here Course codes: OP-I and OP-II
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Data AssimilationCourse code: NWP-DA Students attending any module of the NWP course should have a reasonable meteorological and mathematical background. Please go to the training pages of the main web site for more details on registering and introductory lecture material. |
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ECMWF/EUMETSAT NWP-SAF Satellite data assimilationCourse code: NWP-SAF Students attending any module of the NWP course should have a reasonable meteorological and mathematical background. Please go to the training pages of the main web site for more details on registering and introductory lecture material.
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Predictability and ocean-atmosphere ensemble forecastingCourse code: NWP-PR Students attending any module of the NWP course should have a reasonable meteorological and mathematical background. Please go to the training pages of the main web site for more details on registering and introductory lecture material.
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Parametrization of subgrid physical processesCourse code: NWP-PA Students attending any module of the NWP course should have a reasonable meteorological and mathematical background. Please go to the training pages of the main web site for more details on registering and introductory lecture material. |
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Advanced numerical methodsCourse code: NWP-NM Students attending any module of the NWP course should have a reasonable meteorological and mathematical background. Please go to the training pages of the main web site for more details on registering and introductory lecture material.
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If you have any further questions please email us ( training@lists.ecmwf.int )
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If you are interested in downloading slidecasts of lectures, recording of past webinars or simply electronic version of lectures, then click on the link below. Please quote ECMWF, when using such resources for training purposes! |
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ESCAPE stands for Energy-efficient Scalable Algorithms for Weather Prediction at Exascale. The project will develop world-class, extreme-scale computing capabilities for European operational numerical weather prediction (NWP) and future climate models. |
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Read the joint newsletter on new activities and resources in international meteorological training: (to subscribe go to The Training Bulletin page and scroll to the bottom on the page) |
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If you want to keep up-to-date with ECMWF outreach activities (such as training courses, Webinars and Seminars), please subscribe to our 'outreach' mailing list. To subscribe please send an email to: sympa@lists.ecmwf.int with subject: subscribe outreach@lists.ecmwf.int (To unsubscribe send an email to sympa@lists.ecmwf.int with subject: unsubscribe outreach@lists.ecmwf.int) |
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