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Chasing parts in quadrillion: applications of dynamical downscaling in atmospheric pollutant transport modelling during field campaigns
Atmospheric transport and dispersion models (ATDMs) are widely used to study and forecast pollution events. In the frame of the “Effect of Megacities...
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Regional climate dynamical downscaling over the Tibetan Plateau—From quarter-degree to kilometer-scale
The Tibetan Plateau (TP) possesses the largest cryosphere in the world outside of the Arctic and Antarctic, and is the source of nine major rivers in...
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Projecting Spring Consecutive Rainfall Events in the Three Gorges Reservoir Based on Triple-Nested Dynamical Downscaling
Spring consecutive rainfall events (CREs) are key triggers of geological hazards in the Three Gorges Reservoir area (TGR), China. However, previous...
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Assessing the Performance of a Dynamical Downscaling Simulation Driven by a Bias-Corrected CMIP6 Dataset for Asian Climate
In this study, we aim to assess dynamical downscaling simulations by utilizing a novel bias-corrected global climate model (GCM) data to drive a...
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A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value?
A hybrid statistical dynamical downscaling method intended to emulate regional climate models is described and applied to Western Europe. The method...
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Evaluation of CMIP6 models toward dynamical downscaling over 14 CORDEX domains
Both reliability and independence of global climate model (GCM) simulation are essential for model selection to generate a reasonable uncertainty...
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Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction
As our planet is entering into the “global boiling” era, understanding regional climate change becomes imperative. Effective downscaling methods that...
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Review on spatial downscaling of satellite derived precipitation estimates
The present work aims at reviewing and identifying gaps in knowledge and future perspectives of satellite-derived precipitation downscaling...
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WRF gray-zone dynamical downscaling over the Tibetan Plateau during 1999–2019: model performance and added value
The Tibetan Plateau (TP) is an important component of the global climate system, while the characteristics of its climate are poorly represented in...
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Projected changes in wind erosion climatic erosivity over high mountain Asia: results from dynamical downscaling outputs
Wind erosion climatic erosivity is a measure of climatic conditions that affect wind erosion. Projecting wind erosion climatic erosivity is curcial...
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Dynamical downscaling of CMIP6 scenarios with ENEA-REG: an impact-oriented application for the Med-CORDEX region
In the framework of the coordinated regional modeling initiative Med-CORDEX (Coordinated Regional Climate Downscaling Experiment), we present an...
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Discrepancies of kilometer-scale dynamic downscaling over the Tibetan Plateau: underestimation of nocturnal precipitation in summer
The diurnal variation in precipitation is an essential aspect of the hydrological cycle. It is also an effective way to assess the model performance...
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The influence of bias correction of global climate models prior to dynamical downscaling on projections of changes in climate: a case study over the CORDEX-Australasia domain
We investigate the influence of bias correction of Global Climate Models (GCMs) prior to dynamical downscaling using regional climate models (RCMs),...
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Added value of EURO-CORDEX downscaling over the complex orography region of the Pyrenees
This study presents an assessment of the added value of downscaling utilizing Regional Climate Models (RCMs) compared to Global Climate Models (GCMs)...
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Downscaling Seasonal Precipitation Forecasts over East Africa with Deep Convolutional Neural Networks
This study assesses the suitability of convolutional neural networks (CNNs) for downscaling precipitation over East Africa in the context of seasonal...
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Dynamical downscaling projections of late twenty-first-century U.S. landfalling hurricane activity
In this paper, U.S. landfalling tropical cyclone (TC) activity is projected for the late twenty-first century using a two-step dynamical downscaling...
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On the modern deep learning approaches for precipitation downscaling
Deep Learning (DL) based downscaling has recently become a popular tool in earth sciences. Multiple DL methods are routinely used to downscale...
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Drought index downscaling using AI-based ensemble technique and satellite data
This study introduces and validates an artificial intelligence (AI)–based downscaling method for Standardized Precipitation Indices (SPI) in the...
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Downscaling and reconstruction of high-resolution gridded rainfall data over India using deep learning-based generative adversarial network
To expedite regional-scale climate change impact research and assessments, the downscaling of climate data is a crucial prerequisite. Image...
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A model output statistic-based probabilistic approach for statistical downscaling of temperature
Large-scale temperature projections need to be downscaled to river basin scale to facilitate a regional scale climate change impact assessment. A...
