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IC_3 User support to re-process data using their own algorithms (EISCAT 3D)

1. Background
1.1 Short description
To reprocess environmental data with not default input parameters
1.2 Contact

Background

Contact Person

Organization

Contact email

RI-ICT

Ingemar Häggström 

EISCAT

Ingemar.haggstrom@eiscat.se 

_ICT

e-Infrastructure]_

Leonardo Candela

CNR

leonardo.candela@isti.cnr.it

1.3 Use case type
Implementation case
1.4 Scientific domain and communities
Scientific domain
Atmosphere
Community
Data Service Provision | Data Usage {_}{+}http://confluence.envri.eu:8090/display/ERM/SV+Communities+_ for detailed explanation of those communities.>
Behavior
2. Detailed description
Objective and Impact
Most environmental RIs store data in different levels, and between them there is some sort of process. Most users are interested in the derived physical parameters, being the highest level of data. However, these normally depends on default input parameters for the processing of the data. There is often a need to reprocess the basic data with other input parameters, in the simple case to get a different spatial or temporal resolution, for details or statistical reasons. Depending on the data there can be a large number of more parameters to set and possibly alter.
Challenges
The challenge is to set up workflows how to select data and the process to do on it.
Detailed scenarios
Select data and process. Get a list of the default parameters, modify them as wanted. Run the process with the updated parameter list. This involves staging lower level data, processing it and delivering the results.
Technical status and requirements
The data and processes exists as such. One need to provide the basic tools for selection and setting up parameters in a generic way. It's needed to set up storage, several TB, to provide computation capabilities with basic software, here mainly Matlab.
Implementation plan and timetable
M0-3

  • decide the site for data, data transfer
  • discussions and defining workflows/techniques 

M3-9 

  • Setting up the services with interfaces to the data/metadata 

M9-12 

  • Testing, refining

Expected output and evaluation of output
A basic portal with human/machine interface, that can deliver updated physical parameters for a restricted dataset.

External Links

  1. IC_3 notebook: {+}https://envriplus.manageprojects.com/projects/wp9-service-validation-and-deployment-1/notebooks/631+
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