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Multi-model database

Most database management systems are organized around a single data model that determines how data can be organized, stored, and manipulated. In… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
With the growing wind penetration into the power system worldwide, improving wind power forecasting accuracy is becoming… Expand
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Highly Cited
2013
Highly Cited
2013
We present multi-model global datasets of nitrogen and sulfate deposition covering time periods from 1850 to 2100, calculated… Expand
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Highly Cited
2012
Highly Cited
2012
We have analysed time-slice simulations from 17 global models, participating in the Atmospheric Chemistry and Climate Model… Expand
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Highly Cited
2010
Highly Cited
2010
Savannas are spatially heterogeneous, open ecosystems, thus efforts to quantify canopy structure with methods developed for… Expand
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Highly Cited
2010
Highly Cited
2010
This paper explains the rationale for the development of reconfigurable manufacturing systems, which possess the advantages both… Expand
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Highly Cited
2009
Highly Cited
2009
As part of the Hemispheric Transport of Air Pollution (HTAP; http:// www.htap.org ) project, we analyze results from 15 global… Expand
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Highly Cited
2008
Highly Cited
2008
A linear analysis is applied to a multi-thousand member “perturbed physics" GCM ensemble to identify the dominant physical… Expand
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Highly Cited
2007
Highly Cited
2007
The success of multi-model ensemble combination has been demonstrated in many studies. Given that a multi-model contains… Expand
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Highly Cited
2002
Highly Cited
2002
Abstract A Bayesian methodology is used to assess the information content of categorical, probabilistic forecasts of specific… Expand
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Highly Cited
2000
Highly Cited
2000
Abstract This paper presents four different approaches for integrating conventional and AI-based forecasting models to provide a… Expand
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