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Advances in Climate Change Research, 2023 Extensive investigations on the projection of heat waves (HWs) were conducted on the basis of coarse-resolution global climate models (GCMs). However, these investigations still fail to characterise the future changes in HWs regionally over China. PRECIS
Ming Zhang +3 more
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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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Climate Services, 2018 This work describes the results of a comprehensive intercomparison experiment of dynamical and statistical downscaling methods performed in the framework of the SPECS (http://www.specs-fp7.eu) and EUPORIAS (http://www.euporias.eu) projects for seasonal ...
R. Manzanas +7 more
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Advances in Meteorology, 2016 Many downscaling techniques have been developed in the past few years for projection of station-scale hydrological variables from large-scale atmospheric variables to assess the hydrological impacts of climate change.
Jiaming Liu +4 more
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pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information [PDF]
Geoscientific Model Development, 2023 The nature and severity of climate change impacts vary significantly from region to region. Consequently, high-resolution climate information is needed for meaningful impact assessments and the design of mitigation strategies.
D. Boateng, S. G. Mutz, S. G. Mutz
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International Journal of Climatology, 2020 AbstractFuture climate projections illuminate our understanding of the climate system and generate data products often used in climate impact assessments. Statistical downscaling (SD) is commonly used to address biases in global climate models (GCM) and to translate large‐scale projected changes to the higher spatial resolutions desired for regional ...
Adrienne M. Wootten +3 more
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Statistical downscaling of seasonal wave forecasts [PDF]
Ocean Modelling, 2019 P.C. acknowledges the support of the Spanish Ministerio de Economía y Competitividad (MINECO) and European Regional Development Fund (FEDER) under Grant BIA2015-70644-R (MINECO/FEDER, UE). The authors acknowledge funding from the ERANET ERA4CS (ECLISEA project) and the government of Cantabria and FEDER under the project CLISMO.
Camus Braña, Paula +3 more
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Atmosphere, 2011 When assessing the magnitude of climate signals in a regional scale, a host of optional approaches is feasible. This encompasses the use of regional climate models (RCM), nested into global climate models (GCM) for an area of interest as well as ...
Arne Spekat +3 more
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Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
Advances in Meteorology, 2022 The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu +3 more
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DL4DS—Deep learning for empirical downscaling
Environmental Data Science, 2023 A common task in Earth Sciences is to infer climate information at local and regional scales from global climate models. Dynamical downscaling requires running expensive numerical models at high resolution, which can be prohibitive due to long model ...
Carlos Alberto Gomez Gonzalez
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