Articles with "dynamical downscaling" as a keyword



Projected changes in autumn rainfall over West China: Results from an ensemble of dynamical downscaling simulations

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Published in 2019 at "International Journal of Climatology"

DOI: 10.1002/joc.6115

Abstract: Autumn rainfall in West China, the last rainy season of China, exerts profound impacts on the economic society, therefore, researches on its changes in the context of a warmer world are crucial for better adaptation… read more here.

Keywords: projected changes; west china; autumn rainfall; dynamical downscaling ... See more keywords

A novel approach to statistical-dynamical downscaling for long-term wind resource predictions

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Published in 2018 at "Meteorological Applications"

DOI: 10.1002/met.1678

Abstract: A new method for the long-term prediction of the wind resource based on the concept of statistical-dynamical downscaling is presented. This new approach uses mean sea level pressure maps from global reanalysis data (National Centers… read more here.

Keywords: long term; statistical dynamical; dynamical downscaling; wind resource ... See more keywords

Efficient dynamical downscaling of general circulation models using continuous data assimilation

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Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.3612

Abstract: Author(s): Desamsetti, Srinivas; Dasari, Hari Prasad; Langodan, Sabique; Titi, Edriss S; Knio, Omar; Hoteit, Ibrahim | Abstract: Continuous data assimilation (CDA) is successfully implemented for the first time for efficient dynamical downscaling of a global… read more here.

Keywords: cda; data assimilation; dynamical downscaling; model ... See more keywords

Dynamical Downscaling of Climate Simulations in the Tropics

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Published in 2024 at "Geophysical Research Letters"

DOI: 10.1029/2023gl105733

Abstract: The long‐existing double‐Intertropical Convergence Zone (ITCZ) problem in global climate models (GCMs) hampers accurate climate simulations in the tropics. Using a regional climate model (RCM) over the tropical and sub‐tropical Atlantic with a horizontal resolution… read more here.

Keywords: simulations tropics; methodology; itcz problem; climate ... See more keywords
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Impact of Nudging Parameters on Dynamical Downscaling over CORDEX East Asia Phase II Domain: The Case of Summer 2003

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Published in 2019 at "Journal of Applied Meteorology and Climatology"

DOI: 10.1175/jamc-d-19-0152.1

Abstract: AbstractIn this paper, the sensitivity of the Weather Research and Forecasting (WRF) Model to the nudging parameters in simulating July–August (JJA) precipitation was assessed with 16 experiments o... read more here.

Keywords: nudging parameters; impact nudging; parameters dynamical; dynamical downscaling ... See more keywords

Does Spectral Nudging Have an Effect on Dynamical Downscaling Applied in Small Regional Model Domains

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Published in 2017 at "Monthly Weather Review"

DOI: 10.1175/mwr-d-17-0087.1

Abstract: AbstractSpectral nudging is a method that was developed to constrain regional climate models so that they reproduce the development of the large-scale atmospheric state, while permitting the formation of regional-scale details as conditioned by the… read more here.

Keywords: dynamical downscaling; nudging effect; spectral nudging; effect dynamical ... See more keywords

Investigation of Intense Precipitation from Tropical Cyclones during the 21st Century by Dynamical Downscaling of CCSM4 RCP 4.5

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Published in 2019 at "International Journal of Environmental Research and Public Health"

DOI: 10.3390/ijerph16050687

Abstract: In this article, a dynamical downscaling (DD) procedure is proposed to downscale tropical cyclones (TCs) from a general circulation model, with the goal of investigating inland intense precipitation from these storms in the future. This… read more here.

Keywords: intense precipitation; precipitation; dynamical downscaling; model ... See more keywords

Fast and accurate learned multiresolution dynamical downscaling for precipitation

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Published in 2021 at "Geoscientific Model Development"

DOI: 10.5194/gmd-14-6355-2021

Abstract: Abstract. This study develops a neural-network-based approach for emulating high-resolution modeled precipitation data with comparable statistical properties but at greatly reduced computational cost. The key idea is to use combination of low- and high-resolution simulations… read more here.

Keywords: resolution; high resolution; precipitation; cnn ... See more keywords

Can AI be enabled to perform dynamical downscaling? A latent diffusion model to mimic kilometer-scale COSMO5.0_CLM9 simulations

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Published in 2024 at "Geoscientific Model Development"

DOI: 10.5194/gmd-18-2051-2025

Abstract: Abstract. Downscaling based on deep learning (DL) is a key application in Earth system modeling, enabling the generation of high-resolution fields from coarse numerical simulations at reduced computational costs compared to traditional regional models. Additionally,… read more here.

Keywords: resolution; diffusion model; latent diffusion; model ... See more keywords