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Fig. 1 The field similarity plot for the multifield scenario. There is a tendency towards separation
of different types of fields, but large differences exist within the groups of fields of each type. Big
points with labels correspond to the fields which have individual views in Figs. 2 and 3 . Derivative
fields refer to gradient magnitudes and Hessian determinants, similarity fields refer to all the elds
computed with GSIM
5 Use Cases
In this section, we demonstrate two possible geoscienti
c applications, focusing on
the atmospheric part of a climate simulation output. The data are a sample run of a
climate model setup with a pre-industrial con
guration, similar to the pre-industrial
control setup described by Zhang et al. ( 2013 ), but with different settings of orbital
parameters. Details of the employed Community Earth System Models COSMOS
(consisting of ECHAM5 for the atmosphere, MPIOM for the ocean, and JSBACH
for the vegetation) are outlined, for example, by Stepanek and Lohmann ( 2012 ). 1
The analyzed dataset contains monthly means of ECHAM5 output for 13
volumetric climate variables at the spatial grid resolution of 96
48
19. The
z-axis is given in terms of hybrid sigma-pressure levels.
Our
eld constellation with 13 variables at a
single time step, while our second scenario is concerned with a single field at all
time steps of one year.
first scenario addresses the multi
1 Data courtesy of Christian Stepanek and Gerrit Lohmann from Alfred-Wegener Institute Helm-
holtz Centre for Polar andMarine Research in Bremerhaven, Paleoclimate Dynamics research group.
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