Results 11 to 20 of about 4,088,927 (359)

The selective dynamical downscaling method for extreme-wind atlases [PDF]

open access: yesWind Energy, 2012
ABSTRACTA selective dynamical downscaling method is developed to obtain extreme‐wind atlases for large areas. The method is general, efficient and flexible. The method consists of three steps: (i) identifying storm episodes for a particular area, (ii) downscaling of the storms using mesoscale modelling and (iii) post‐processing.
Charnock   +29 more
core   +5 more sources

Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks

open access: yesGeophysical Research Letters
Despite advancements in Artificial Intelligence (AI) methods for climate downscaling, significant challenges remain for their practicality in climate research.
Deeksha Rastogi   +6 more
doaj   +2 more sources

Dynamical downscaling CMIP6 models over New Zealand: added value of climatology and extremes [PDF]

open access: hybridClimate Dynamics
Dynamical downscaling provides physics-based high-resolution climate change projections across regional and local scales. This is particularly important for island nations characterized by complex terrain, where the coarse resolution of global climate ...
Peter B. Gibson   +8 more
semanticscholar   +2 more sources

Efficient dynamical downscaling of general circulation models using continuous data assimilation [PDF]

open access: yesQuarterly Journal of the Royal Meteorological Society, 2019
Continuous data assimilation (CDA) is successfully implemented for the first time for efficient dynamical downscaling of a global atmospheric reanalysis.
Biswas A.   +10 more
core   +4 more sources

Dynamical downscaling of a multimodel ensemble prediction system: Application to tropical cyclones

open access: yesAtmospheric Science Letters, 2020
This study attempts dynamical downscaling to improve north Indian ocean (NIO) tropical cyclone prediction from a global multimodel ensemble prediction system using weather research and forecasting (WRF) model.
Manpreet Kaur   +8 more
doaj   +2 more sources

Precipitation Dynamical Downscaling Over the Great Plains [PDF]

open access: yesJournal of Advances in Modeling Earth Systems, 2018
Detailed, regional climate projections, particularly for precipitation, are critical for many applications. Accurate precipitation downscaling in the United States Great Plains remains a great challenge for most Regional Climate Models, particularly for ...
Xiao‐Ming Hu   +5 more
doaj   +2 more sources

The CORDEX.be initiative as a foundation for climate services in Belgium [PDF]

open access: yesClimate Services, 2018
The CORDEX.be project created the foundations for Belgian climate services by producing high-resolution Belgian climate information that (a) incorporates the expertise of the different Belgian climate modeling groups and that (b) is consistent with the ...
Piet Termonia   +32 more
doaj   +4 more sources

Bias-corrected NESM3 global dataset for dynamical downscaling under 1.5 °C and 2 °C global warming scenarios [PDF]

open access: yesScientific Data
Dynamical downscaling is vital for generating finer-scale climate projections. Recently, a set of simulations under four types of 1.5/2 °C global warming scenarios are available with Nanjing University of Information Science and Technology Earth System ...
Meng-Zhuo Zhang   +3 more
doaj   +2 more sources

Dynamical Downscaling of Climate Simulations in the Tropics

open access: yesGeophysical Research Letters
AbstractThe 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 of 12 km and explicit convection, we develop a bias‐corrected downscaling ...
Shuchang Liu   +2 more
openaire   +4 more sources

Impacts of Spectral Nudging Parameters on Dynamical Downscaling in Summer over Mainland China

open access: yesFrontiers in Earth Science, 2020
Spectral nudging is an important method of improving the effectiveness of dynamical downscaling in the Weather Research and Forecasting model (WRF). However, spectral nudging is sensitive to nudging parameters, and most related research has typically ...
Xiaoping Mai   +5 more
doaj   +2 more sources

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