Scientific Visualisation of Atmospheric Data with ParaView

The pv_atmos package allows for an automated approach to 4D (3D space + time) visualization of atmospheric data in netCDF format. Using Python scripting, the open source software ParaView is used to load, process, and visualize data. The scripts automatize the loading of data on a longitude-latitude...

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Bibliographic Details
Main Author:	Martin Jucker
Format:	Article
Language:	English
Published:	Ubiquity Press 2014-06-01
Series:	Journal of Open Research Software
Subjects:	scientific visualisation ParaView Python scripting geophysical fluid dynamics netCDF
Online Access:	http://openresearchsoftware.metajnl.com/articles/17

id	doaj-dd09150724c948fb839ee0c43ee0cbea
record_format	Article
spelling	doaj-dd09150724c948fb839ee0c43ee0cbea2020-11-24T22:20:41ZengUbiquity PressJournal of Open Research Software2049-96472014-06-0121e4e410.5334/jors.al17Scientific Visualisation of Atmospheric Data with ParaViewMartin Jucker0Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJThe pv_atmos package allows for an automated approach to 4D (3D space + time) visualization of atmospheric data in netCDF format. Using Python scripting, the open source software ParaView is used to load, process, and visualize data. The scripts automatize the loading of data on a longitude-latitude-pressure grid, and re-compute the grid for a log-pressure or spherical representation of all data. Grid lines, planes, and labels can be added if desired. Two example scripts are included in the repository.http://openresearchsoftware.metajnl.com/articles/17scientific visualisationParaViewPython scriptinggeophysical fluid dynamicsnetCDF
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Martin Jucker
spellingShingle	Martin Jucker Scientific Visualisation of Atmospheric Data with ParaView Journal of Open Research Software scientific visualisation ParaView Python scripting geophysical fluid dynamics netCDF
author_facet	Martin Jucker
author_sort	Martin Jucker
title	Scientific Visualisation of Atmospheric Data with ParaView
title_short	Scientific Visualisation of Atmospheric Data with ParaView
title_full	Scientific Visualisation of Atmospheric Data with ParaView
title_fullStr	Scientific Visualisation of Atmospheric Data with ParaView
title_full_unstemmed	Scientific Visualisation of Atmospheric Data with ParaView
title_sort	scientific visualisation of atmospheric data with paraview
publisher	Ubiquity Press
series	Journal of Open Research Software
issn	2049-9647
publishDate	2014-06-01
description	The pv_atmos package allows for an automated approach to 4D (3D space + time) visualization of atmospheric data in netCDF format. Using Python scripting, the open source software ParaView is used to load, process, and visualize data. The scripts automatize the loading of data on a longitude-latitude-pressure grid, and re-compute the grid for a log-pressure or spherical representation of all data. Grid lines, planes, and labels can be added if desired. Two example scripts are included in the repository.
topic	scientific visualisation ParaView Python scripting geophysical fluid dynamics netCDF
url	http://openresearchsoftware.metajnl.com/articles/17
work_keys_str_mv	AT martinjucker scientificvisualisationofatmosphericdatawithparaview
_version_	1725774617359941632

Scientific Visualisation of Atmospheric Data with ParaView

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