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UID:pretalx-foss4g-2022-ELA8HN@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T171500
DTEND;TZID=CET:20220825T174500
DESCRIPTION:The European Centre for Medium-Range Weather Forecasts (ECMWF) 
 is an independent intergovernmental organisation which is producing and di
 sseminating numerical weather and environmental predictions to its users i
 n national meteorological services as well as commercial customers. As of 
 recently\, ECMWF started the move towards serving data to users beyond ope
 rational forecasters in Member states and commercial customers for a charg
 e\, by adopting an open data policy which will be implemented in phases fr
 om 2020 to 2025. The first phase included opening hundreds of [web forecas
 t charts](https://apps.ecmwf.int/webapps/opencharts) and making archived d
 ata available under a Creative Commons (CC BY 4.0) open licence in 2020. T
 he next step was in January 2022 when the production of [open subset of re
 al time medium range forecast](https://www.ecmwf.int/en/forecasts/datasets
 /open-data) began. \n\nThis phased move towards free and open data aims to
  support creativity and innovation in the field of scientific research as 
 well as weather applications. It also represents a step towards more repro
 ducible open science. However this can not be achieved by only opening the
  real time data. The users need to be able to find and easily use the data
  and integrate it into their own research work or application workflows. R
 eliable access to the data is achieved by making it available both through
  ECMWF https service and via the Microsoft Azure cloud\, where the archive
 d data is kept as well.\n\nIn order for the data to be more FAIR (Findable
 \, Accessible\, Interoperable and Reusable)\, additional development work 
 is being done. This work includes the design of an [API](https://github.co
 m/ecmwf/ecmwf-opendata) to easily download the geospatial data\, and the d
 evelopment of open source Python libraries to [process](https://github.com
 /ecmwf/ecmwf-data) and [visualise](https://github.com/ecmwf/magpye) it. Th
 ese open source libraries make use of open geospatial software\, such as p
 roj to deal with different projections. To present these new tools and hel
 p users understand how to retrieve and process ECMWF data\, [a set of Jupy
 ter notebooks](https://github.com/ecmwf/notebook-examples/tree/master/open
 charts) was created\, each of them reproducing one open weather forecast c
 hart from the downloading the data to the visualisation. \n\nThis talk wil
 l give a short overview of which data is available in the open data set\, 
 and will then focus on the software and Jupyter notebooks development.
DTSTAMP:20260403T204307Z
LOCATION:Auditorium
SUMMARY:Towards open and accessible weather forecast data - Milana Vuckovic
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/ELA8HN/
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