SimVis: An Interactive Visual Field Exploration Tool Applied to Climate Research
Florian Ladstädter, Andrea K. Steiner, Bettina C. Lackner,
Gottfried Kirchengast, Philipp Muigg, Johannes Kehrer, Helmut Doleisch
INCOLLECTION,
New Horizons in Occultation Research,
2009
AbstractClimate research often deals with large multi-dimensional fields
describing the state of the atmosphere. A novel approach to gain information about
these large data sets has become feasible only recently using 4D visualization
techniques. The Simulation Visualization (SimVis) software tool, developed by the
VRVis Research Center (Vienna, Austria), uses such techniques to provide access
to the data interactively and to explore and analyze large three-dimensional
time-dependent fields. Non-trivial visualization approaches are applied to
provide a responsive and useful interactive experience for the user. In this
study we used SimVis for the investigation of climate research data sets. An
ECHAM5 climate model run and the ERA-40 reanalysis data sets were explored, with
the ultimate goal to identify parameters and regions reacting most sensitive to
climate change, representing robust indicators. The focus lies on the upper
troposphere-lower stratosphere (UTLS) region, in view of future applications of
the findings to radio occultation (RO) climatologies. First results showing the
capability of SimVis to deal with climate data, including trend time series and
spatial distributions of RO parameters are presented.
Published
New Horizons in Occultation Research
Media
BibTeX
@incollection {ladstaedter09opac,
author = {Florian Ladst{\"a}dter and Andrea K. Steiner and Bettina C. Lackner and
Gottfried Kirchengast and Philipp Muigg and Johannes Kehrer and Helmut Doleisch},
title = {SimVis: An Interactive Visual Field Exploration Tool Applied to Climate Research},
booktitle = {New Horizons in Occultation Research},
editor = {A. Steiner and B. Pirscher and U. Foelsche and G. Kirchengast},
publisher = {Springer},
isbn = {978-3-642-00321-9},
pages = {235--245},
abstract = {Climate research often deals with large multi-dimensional fields
describing the state of the atmosphere. A novel approach to gain information about
these large data sets has become feasible only recently using 4D visualization
techniques. The Simulation Visualization (SimVis) software tool, developed by the
VRVis Research Center (Vienna, Austria), uses such techniques to provide access
to the data interactively and to explore and analyze large three-dimensional
time-dependent fields. Non-trivial visualization approaches are applied to
provide a responsive and useful interactive experience for the user. In this
study we used SimVis for the investigation of climate research data sets. An
ECHAM5 climate model run and the ERA-40 reanalysis data sets were explored, with
the ultimate goal to identify parameters and regions reacting most sensitive to
climate change, representing robust indicators. The focus lies on the upper
troposphere-lower stratosphere (UTLS) region, in view of future applications of
the findings to radio occultation (RO) climatologies. First results showing the
capability of SimVis to deal with climate data, including trend time series and
spatial distributions of RO parameters are presented.},
URL = {http://dx.doi.org/10.1007/978-3-642-00321-9_19},
year = {2009}
}
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