Results 51 to 60 of about 1,188 (159)
Dynamic Downscaling in Climatology: A Review
The paper discusses the significance of dynamic downscaling in climate modeling and its impact on regional climate predictions and adaptation strategies. Dynamic downscaling bridges the gap between coarse-resolution global climate models (GCMs) and the fine-scale climate information required for local decision-making and policy planning.
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CORDEX-CMIP5 Archiving Specifications for Dynamical Downscaling
This document specifies technical aspects of CORDEX archive file and data formats, as well as archive content. It includes a common naming system, the Data Reference Syntax (DRS), which allows the identification of data sets wherever they might be located in a distributed CORDEX archive.
Christensen, Ole B +3 more
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Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks
Despite advancements in Artificial Intelligence (AI) methods for climate downscaling, significant challenges remain for their practicality in climate research.
Deeksha Rastogi +6 more
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Precipitation Dynamical Downscaling Over the Great Plains
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
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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 provide localized insights are crucial for this target.
Fenghua Ling +8 more
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A Comparison of ETKF and Downscaling in a Regional Ensemble Prediction System
Based on the operational regional ensemble prediction system (REPS) in China Meteorological Administration (CMA), this paper carried out comparison of two initial condition perturbation methods: an ensemble transform Kalman filter (ETKF) and a dynamical
Hanbin Zhang +3 more
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High-resolution dynamical downscaling experiment outputs data over Reunion and Mauritius islands in the South-West Indian Ocean. [PDF]
Tang C +12 more
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This paper discusses statistical and dynamical methods used to produce local (grid-spacing
Robert Monjo +8 more
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Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979-2100). [PDF]
Xu Z, Han Y, Tam CY, Yang ZL, Fu C.
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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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