Application of Dynamical and Statistical Downscaling to East Asian Summer Precipitation for Finely Resolved Datasets [PDF]
Advances in Meteorology, 2017 Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung
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Comparison of Analysis and Spectral Nudging Techniques for Dynamical Downscaling with the WRF Model over China [PDF]
Advances in Meteorology, 2016 To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used.
Yuanyuan Ma +5 more
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Is Bias Correction in Dynamical Downscaling Defensible?
Geophysical Research LettersLocalized projections of 21st‐century hydroclimate variables obtained from downscaling Global Climate Model (GCM) output are central to informing regional impact assessments and infrastructure planning.
Mark D. Risser +5 more
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Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area [PDF]
Italian Journal of Agronomy, 2012 In this paper we present and discuss a comparison between statistical and regional climate modeling techniques for downscaling GCM prediction . The comparison is carried out over the “Capitanata” region, an area of agricultural interest in south ...
Claudia Pizzigalli +5 more
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A classification algorithm for selective dynamical downscaling of precipitation extremes [PDF]
Hydrology and Earth System Sciences, 2018 High-resolution climate data O(1 km) at the catchment scale can be of great value to both hydrological modellers and end users, in particular for the study of extreme precipitation.
E. P. Meredith, H. W. Rust, U. Ulbrich
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Dynamical downscaling of GloSea5 over Ethiopia
Climate Services, 2018 We have implemented dynamical downscaling of the Met Office GloSea5 global seasonal forecasting system and analysed its ability to generate skilful forecasts of characteristics of the June-September rainy season in Ethiopia that are of societal relevance.
S. Tucker +4 more
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Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks
Geophysical Research LettersDespite advancements in Artificial Intelligence (AI) methods for climate downscaling, significant challenges remain for their practicality in climate research.
Deeksha Rastogi +6 more
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Decomposition of the large-scale atmospheric state driving downscaling: a perspective on dynamical downscaling for regional climate study [PDF]
Progress in Earth and Planetary Science, 2018 In this study, we provide a perspective on dynamical downscaling that includes a comprehensive view of multiple downscaling methods and a strategy for achieving better assessment of future regional climates.
Seiya Nishizawa +7 more
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Dynamical-generative downscaling of climate model ensembles. [PDF]
Proc Natl Acad Sci U S ARegional high-resolution climate projections are crucial for many applications, such as agriculture, hydrology, and natural hazard risk assessment.
Lopez-Gomez I +5 more
europepmc +2 more sources
Event selection for dynamical downscaling: a neural network approach for physically-constrained precipitation events [PDF]
, 2019 This study presents a new dynamical downscaling strategy for extreme events. It is based on a combination of statistical downscaling of coarsely resolved global model simulations and dynamical downscaling of specific extreme events constrained by the ...
Raible, C. C. +5 more
core +6 more sources