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(Fedor Baart - DELTARES and Sylvie Pouliquen -IFREMER, Member of the MyOcean Project)
09:00-12:30
Data exchange - Progress in the past ten years - 30 min
QC in delayed and real time modes - 1hr
Data formats and archiving - 1hr
Use of climatological data - 30 min
Data mining and Web services - 30 min

>
> Data formats and archiving - 15 mn +30 min
>
> Sylvie will introduce the importance of common metadata and vocabularies to be able to set up efficient data exchange and data aggregation
>
> Fedor will than give more information of the convention that exist to discovery ( ISO19115 - ISO 19119) , Metadata ( CF- convention- SeaDataNet vocabularies) and explainmay through exemple that student would understand haw they are used by the tools
>
>
> Use of climatological data -30 min
>
> Fedor will give an overview of methods used to analyze climatological data. Using the sea-level as an example he shows how to create indicators from a dataset and how much variance can be explained.
>
>
> Data mining and Web services - 30 min
>
> Some common used web services are presented by Fedor Baart (OGC WxS, OPeNDAP).
> Some techniques for data mining are discussed. Probabilistic modelling, parallelizing techniques (map/reduce, mpi).
>
>
>>
>> Day 4
>> The services that are presented in the morning will be used in the afternoon.
>> These include at least the following:
>>
>> Getting data from the internet:
>> - A MyOcean netcdf file example from ftp (CF/seadatanet compliant)
>> - A WxS service for tide
>> - An OpenDAP service for bathymetry
>>
> Manipulating the data
> - plot profile and timeseries data from MyOcean FTP server
> - Plot a T section from a float complete data
> - Plot a Sea Level Time serie from a tide gage file
>> Doing quality control:
>> - Myocean data, check the quality flags
>> - Tide service, check which constituents were used.
>> - Bathymetry, check resolution, spikes, interpolation techniques
>>
>> Tools to be used:
>> - ODV for dataset (Sylvie will check if ODV will work with the myocean datasets.)
>> - Qgis for tide services
>> - python notebook example for bathymetry

Day 4 Afternoon - Hands-on session

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