Pliocene terrestrial environments and data/model comparisons

1994 ◽  
Author(s):  
Robert S. Thompson
Keyword(s):  
Data Model ◽  
Model Comparisons ◽  
Terrestrial Environments

scholarly journals Paleovariability: Data Model Comparisons

2014 ◽  
Vol 22 (2) ◽  
pp. 102-102 ◽  
Author(s):  
Chris Brierley ◽  
Kira Rehfeld
Keyword(s):  
Data Model ◽  
Model Comparisons

Temporal and spatial considerations in data-model comparisons involving transient paleoclimatic simulations

2021 ◽  
Author(s):  
Patrick Bartlein ◽  
Sandy Harrison
Keyword(s):  
Time Series ◽  
Best Practices ◽  
Data Model ◽  
Environmental Data ◽  
Climatic Effects ◽  
Data Archiving ◽  
Model Comparisons ◽  
Climate Reconstructions ◽  
Temporal And Spatial ◽  
Further Development

<p>The increasing availability of time-evolving or transient palaeoclimatic simulations makes it imperative to develop “best-practices” for comparing simulations with palaeoclimatic observations including both climate reconstructions and environmental data.  There are two sets of considerations, temporal and spatial, that should guide those comparisons.  The chronology of simulations can in some ways be viewed as exact, as determined by the insolation forcing, but data archiving and reporting conventions, such as reporting summaries that use the modern calendar (that leads to the long-recognized palaeo-calendar effect) can, if ignored, lead to “built-in” temporal offsets of thousands of years in such features as temperature or precipitation maxima or minima.  Likewise, there are age uncertainties in time series of palaeoclimatic data that are often ignored, despite the fact that these are large during “climatically interesting times” such as the Younger Dryas chronozone.  Similarly, although model resolution is increasing, there is still a mismatch in topography (and its climatic effects) between a model and the “real world” sensed by the palaeoclimatic data sources. </p><p>There are existing approaches for dealing with some of these issues, such as calendar-adjustment programs, Monte-Carlo approaches for describing age uncertainties in palaeoclimate time series, or clustering approaches for objectively defining appropriate regions for the calculation of area averages, but there is certainly room for further development.  This abstract is intended to serve as platform for discussion of some of best practices for data-model comparisons in transient mode.</p>

scholarly journals Analyzing electric field morphology through data-model comparisons of the Geospace Environment Modeling Inner Magnetosphere/Storm Assessment Challenge events

2006 ◽  
Vol 111 (A11) ◽  
Author(s):  
Michael W. Liemohn ◽  
Aaron J. Ridley ◽  
Janet U. Kozyra ◽  
Dennis L. Gallagher ◽  
Michelle F. Thomsen ◽  
...  
Keyword(s):  
Electric Field ◽  
Data Model ◽  
Environment Modeling ◽  
Inner Magnetosphere ◽  
Model Comparisons

Data‐model comparisons for scattering by a bubbly sediment

2003 ◽  
Vol 114 (4) ◽  
pp. 2317-2317
Author(s):  
Darrell R. Jackson ◽  
Dajun Tang
Keyword(s):  
Data Model ◽  
Model Comparisons

Thirty years of sand acoustics: A perspective on experiments, models and data/model comparisons

2012 ◽  
Author(s):  
Kevin L. Williams ◽  
Eric I. Thorsos ◽  
Darrell R. Jackson ◽  
Brian T. Hefner
Keyword(s):  
Data Model ◽  
Model Comparisons

Paleoclimate Data-Model Comparisons

Ecology ◽  
1995 ◽  
Vol 76 (2) ◽  
pp. 672-673
Author(s):  
Dorothy M. Peteet
Keyword(s):  
Data Model ◽  
Model Comparisons ◽  
Paleoclimate Data

Post-glacial sediment dynamics in the Irish Sea and sediment wave morphology: Data–model comparisons

2009 ◽  
Vol 29 (14) ◽  
pp. 1723-1736 ◽  
Author(s):  
Katrien J.J. Van Landeghem ◽  
Katsuto Uehara ◽  
Andrew J. Wheeler ◽  
Neil C. Mitchell ◽  
James D. Scourse
Keyword(s):  
Data Model ◽  
Sediment Dynamics ◽  
Irish Sea ◽  
Sediment Wave ◽  
Glacial Sediment ◽  
Model Comparisons ◽  
Wave Morphology ◽  
The Irish Sea

scholarly journals Rating global magnetosphere model simulations through statistical data-model comparisons

Space Weather ◽  
2016 ◽  
Vol 14 (10) ◽  
pp. 819-834 ◽  
Author(s):  
A. J. Ridley ◽  
D. L. De Zeeuw ◽  
L. Rastätter
Keyword(s):  
Data Model ◽  
Statistical Data ◽  
Model Simulations ◽  
Model Comparisons
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