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1. Background

1.1 Short description

To reprocess environmental data with not default input parameters

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Background

Contact Person

Organization

Contact email

RI-ICT

Ingemar Häggström 

EISCAT

Ingemar.haggstrom@eiscat.se 

_ICT

e-Infrastructure]_ICT

Leonardo Candela

CNR

leonardo.candela@isti.cnr.it

 

Task 5.3/7.2 leader

Zhiming Zhao

Paul Martin

University of Amsterdam (UvA)

z.zhao@uva.nl

P.W.Martin@uva.nl

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

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