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

DETERMINAN PENANAMAN MODAL ASING LANGSUNG DI ASEAN

2012 ◽  
Vol 7 (1) ◽  
pp. 75
Author(s):  
Joko Susanto
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Data Model ◽  
Direct Investment ◽  
Multinational Enterprises ◽  
Statistical Data ◽  
Regression Equation ◽  
Panel Data Model ◽  
Market Size ◽  
Research Analysis

This research analysis the factors’ that determine the foreign directinvestment (FDI) in ASEAN’s countries especially Indonesia, Malaysia, Philippine and Thailand during 1990-2009. Multinational Enterprises’ (MNE) must decideto choose a locationfor relocating its’ factory by market seeking dan resources seeking strategy. Based on this statement, it can be obtained the regression equation with foreign direct investment is a function of market size, worker’s productivity and infrastructure of road. Statistical data of UNESCAP was used in this research. The regression was base on the panel data model, while the estimation was based on common effects model. This results showthat the market size, worker’s productivity and availability of infrastructure road could be an importance consideration for MNE’s in their choice for FDI.Keywords: foreign direct investment, market size, worker’s productivity, infrastructure of road

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>

Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation

2020 ◽  
Author(s):  
Gouranga Charan ◽  
Jubin Hazra ◽  
Karsten Beckmann ◽  
Xiaocong Du ◽  
Gokul Krishnan ◽  
...  
Keyword(s):  
Data Model ◽  
Statistical Data ◽  
On Line ◽  
Model Transfer

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

scholarly journals The influence of atmospheric circulation on the mid-Holocene climate of Europe: a data–model comparison

2014 ◽  
Vol 10 (5) ◽  
pp. 1925-1938 ◽  
Author(s):  
A. Mauri ◽  
B. A. S. Davis ◽  
P. M. Collins ◽  
J. O. Kaplan
Keyword(s):  
Climate Change ◽  
Atmospheric Circulation ◽  
Data Model ◽  
Atmospheric Dynamics ◽  
Future Climate Change ◽  
Seasonal Temperature ◽  
Holocene Climate ◽  
Model Simulations ◽  
Recent Climate

Abstract. The atmospheric circulation is a key area of uncertainty in climate model simulations of future climate change, especially in mid-latitude regions such as Europe where atmospheric dynamics have a significant role in climate variability. It has been proposed that the mid-Holocene was characterized in Europe by a stronger westerly circulation in winter comparable with a more positive AO/NAO, and a weaker westerly circulation in summer caused by anti-cyclonic blocking near Scandinavia. Model simulations indicate at best only a weakly positive AO/NAO, whilst changes in summer atmospheric circulation have not been widely investigated. Here we use a new pollen-based reconstruction of European mid-Holocene climate to investigate the role of atmospheric circulation in explaining the spatial pattern of seasonal temperature and precipitation anomalies. We find that the footprint of the anomalies is entirely consistent with those from modern analogue atmospheric circulation patterns associated with a strong westerly circulation in winter (positive AO/NAO) and a weak westerly circulation in summer associated with anti-cyclonic blocking (positive SCAND). We find little agreement between the reconstructed anomalies and those from 14 GCMs that performed mid-Holocene experiments as part of the PMIP3/CMIP5 project, which show a much greater sensitivity to top-of-the-atmosphere changes in solar insolation. Our findings are consistent with data–model comparisons on contemporary timescales that indicate that models underestimate the role of atmospheric circulation in recent climate change, whilst also highlighting the importance of atmospheric dynamics in explaining interglacial warming.

Sign in / Sign up

Export Citation Format

Share Document