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© ECMWF October 4, 2016
Web Coverage Service for meteorological dataExperience from the EarthServer-2 project
Julia [email protected]
Workshop: Implementation and potential of INSPIRE coverage data and WCS (I)INSPIRE conference 2016, Barcelona30 September 2016
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2EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
Who is familiar with meteorological data?
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This might be familiar…
3EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
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This might be familiar…
4
ce air temperature anomaly 16 relative to the August ge for the period 1981-2010 WF, Copernicus C3S)
Monthly gmean surtemperatuanomaliesto 1981-2
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It is getting more complex…
5
River discharge forecast hydrograph for 8 April 2008
(Source: GloFAS)
10-day epsgram for 2m air temperature – base date: Tuesday, 27 September(Source: ECMWF)
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Meteorological data structures – a challenge
3D 4D 5D
• Large data volumes
• Multi-dimensional
• Lots of metadata
• Heterogeneous (forecast, analysis, etc)
• GRIB data format
• Large data volumes
• Multi-dimensional
• Lots of metadata
• Heterogeneous (forecast, analysis, etc)
• GRIB data format
Complexity &
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Meteorological and Archival Retrieval System• World’s largest archive of meteorological
data• > 90 PBs (and continues to grow by 3 PB
per month)
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Efficient data retrieval service for experts
MARS
MARS request
Expert user
.GRIB / .netCDF
Raw data / subsets
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Challenge
Data is complex and
large
Challenge
Download service
for expert users
11 22
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10EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
WCS for Climate Data (EarthServer-2)
WCS is of great valfor data providers
developers and scien
Objective Conclusi
• Provide access to over 1 PB of global climate reanalysis data
• Offer server-based data access and processing
• Make ECMWF data more accessible to users, especially outside the MetOcean domain
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WCS as part of the data-processing chain
11EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
Developer
GIS User
Scientist
Useful for:
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From a service for expert users to a service for “users”
WC(P)SWC(P)S
MARS
rasdamanrasdaman
MARS request
Expert user
.GRIB / .netCDF
Raw data / subsets
WC(P)Srequest
MARS request?
User
Raw data / subsets / time-series
.netCDF, image formats,further processing
Nature of data requ
Scalability?
In what data structustore/register data/met
Efficiency?
Limit of data volumerequest?
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Right representation of meteorological data structures
From a general “data description”…
to a systematic meteorological (data application profile!
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But all the PBs will be useless, if…
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And this includes…
KEEP IT SIMPLAND HIDE
COMPLEXITY
ATA FORMATSFormats such as GeoJSON, netCDF
ETADATA INFORMATIONExample: lat/lon information for ad-hoc plotting
UMAN vs. MACHINE READABLEExample: ansi date format
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Conclusion
WCS HAS GREAT POTENTIAL• to offer an on-demand pull service, supplementa
expert systems in place• to increase data uptake, especially to users of oth
communities
CHALLENGES• Variety of data structures• Keep the user in focus that usage of download
service is ensured• Paradigm change – from data-to-user to user-to-
data
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THANK YOU!Questions?
More information
• WCS for Climate Data: http://earthserver.ecmwf.int
• OGC WCS tutorial: http://nbviewer.jupyter.org/github/earthserver-eu/OGC_WCS_tutorial/blob/master/index
• EarthServer-2: http://www.ecmwf.int/en/earthserver-2
Do you want to become a WCS test user?
• Contact us via [email protected]
17EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS
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ata Policy Workshop | 28 February –1 March 2017Workshop on Meteorological Operational Systems (MOS) | 1–3 March 2017opendatahack – Discover the potential of weather data | 4–5 March 2017
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