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Downscaling

Known as: Downscale, Dynamical downscaling, Statistical downscaling 
Global Climate Models (GCMs) used for climate studies and climate projections are run at coarse spatial resolution (in 2012, typically of the order… Expand
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Papers overview

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Review
2018
Review
2018
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution… Expand
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Review
2017
Review
2017
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image… Expand
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Review
2017
Review
2017
Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to… Expand
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Review
2016
Review
2016
The well-known empirical phenomenon known as Moore's Law has held true for the past half century. However, it is beginning to… Expand
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Highly Cited
2006
Highly Cited
2006
  • B. C. HEWITSONa, R. G. CRANEb
  • 2006
  • Corpus ID: 54502615
This paper discusses issues that surround the development of empirical downscaling techniques as context for presenting a new… Expand
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Highly Cited
2006
Highly Cited
2006
Three downscaling models namely Statistical Down-Scaling Model (SDSM), Long Ashton Research Station Weather Generator (LARS-WG… Expand
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Highly Cited
2004
Highly Cited
2004
Six approaches for downscaling climate model outputs for use in hydrologic simulation were evaluated, with particular emphasis on… Expand
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Highly Cited
2000
Highly Cited
2000
The ‘‘spectral nudging’’ method imposes time-variable large-scale atmospheric states on a regional atmospheric model. It is based… Expand
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Highly Cited
1998
Highly Cited
1998
A range of different statistical downscaling models was calibrated using both observed and general circulation model (GCM… Expand
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Highly Cited
1996
Highly Cited
1996
Downscaling, or translation across scales, is a term adopted in recent years to describe a set of techniques that relate local… Expand
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