GISMO toolbox

The GISMO toolbox is a Python 3.6 GUI application to manually perform quality control of in situ ocean data from different sampling types such as ferryboxes and fixed platforms. As of now it is setup to use the standard CMEMS data format. Functionalities include visual flagging of data, comparison between different data sources and interactive plot exports.



Developed by:

This application was developed by tkinter from the Swedish Meteorological and Hydrological Institute (SMHI https://www.smhi.se/en) in the framework of JERICO-NEXT ( http://www.jerico-ri.eu/).



Technology or platform:

The GISMO toolbox application uses basemap for showing maps. The module requires Microsoft Visual C++ for python which can be a bit tricky to install if you want to run the program in a virtual environment (recomended).



You can find a step by step guide on the prefered way to setup all requirements needed to run the program on Windows (not tested for other platforms). The guide assumes the user has no prior experience of Python.

Default

Date ( Publication)
2019-08-07
Status
Completed
Point of contact
  SMHI - SMHI

Keywords

environmental monitoring
Keywords

data management
Keywords

marine
Access constraints
License
Use limitation

MIT
Other constraints

https://github.com/sharksmhi/gismo_gui_tkinter/blob/master/LICENSE

OnLine resource
GISMO Code Repository (

WWW:LINK-1.0-http--link

 )
Operation name

Quality control of in situ ocean data
Description

The GISMO toolbox is a Python 3.6 GUI application to manually perform quality control of in situ ocean data from different sampling types such as ferryboxes and fixed platforms

Function

Perform quality control
Topic Category
Oceanographic geographical features
Service Category

data curation
Service Category

data processing
Service Language
eng
Service TRL
TRL 9 – Actual system proven in operational environment

Metadata

File identifier
c946ac26-867f-4080-8382-0d1a7c6737f5 XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

1.0
 
 

Overviews

overview
env monitoring.jpg

Spatial extent

Keywords



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