Results 21 to 30 of about 1,188 (159)
Progress in Earth and Planetary Science, 2018 The hybrid dynamical-statistical downscaling approach is an effort to combine the ability of dynamical downscaling to resolve fine-scale climate changes with the low computational cost of statistical downscaling.
Quan Tran Anh, Kenji Taniguchi
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Testing Reanalyses in Constraining Dynamical Downscaling
Journal of the Meteorological Society of Japan. Ser. II, 2016 Reanalysis data sets have been widely used in regional climate dynamical downscaling studies. In this study, we test the use of various reanalysis data sets in constraining dynamical downscaling by assessing the reconstruction skill of the Yellow Sea coastal winds using the COSMO model in Climate Mode (CCLM) with 7-km resolution.
Li, D., Storch, H.v., Geyer, B.
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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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Projected Changes in Temperature and Precipitation over Kashafrood Basin Based on Statistical and Dynamical Downscaling Methods [PDF]
مخاطرات محیط طبیعی, 2021 It is well-known that climate is changing continuously under the intricate influences of natural and artificial factors at global and regional scales. The global Coupled Model Intercomparison Project (CMIP) already provides multi model data resources in ...
Hooshmand Ataei +3 more
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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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Meteorological Applications, 2023 This paper evaluated and compared the performance of a statistical downscaling method and a dynamical downscaling method to simulate the spatial–temporal rainfall distribution.
Raazia Attique +2 more
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Atmosphere, 2019 The regional ensemble prediction system (REPS) of North China is currently under development at the Institute of Urban Meteorology, China Meteorological Administration, with initial condition perturbations provided by global ensemble dynamical ...
Hanbin Zhang, Min Chen, Shuiyong Fan
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Statistical downscaling based on dynamically downscaled predictors: Application to monthly precipitation in Sweden [PDF]
Advances in Atmospheric Sciences, 2003 A prerequisite of a successful statistical downscaling is that large-scale predictors simulated by the General Circulation Model (GCM) must be realistic. It is assumed here that features smaller than the GCM resolution are important in determining the realism of the large-scale predictors.
Cecilia Hellström, Deliang Chen
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Quaestiones Geographicae, 2015 The main source of information about future climate changes are the results of numerical simulations performed in scientific institutions around the world.
Pilarski Michał
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Revista de Matemática: Teoría y Aplicaciones, 2009 In the first part of this work it was determined that general circulation model (GCM) ECHAM4.5 shows more ability than CCM3.6 to simulate key climate features of Central America.
Erick R. Rivera, Jorge A. Amador
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