Is Bias Correction in Dynamical Downscaling Defensible? [PDF]
Geophysical Research LettersLocalized projections of 21st‐century hydroclimate variables obtained from downscaling Global Climate Model (GCM) output are central to informing regional impact assessments and infrastructure planning.
Mark D. Risser +5 more
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Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling [PDF]
Scientific ReportsThe increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes.
Alfredo Reder +3 more
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Comparison between statistical and dynamical downscaling of rainfall over the Gwadar‐Ormara basin, Pakistan [PDF]
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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Dynamical-generative downscaling of climate model ensembles. [PDF]
Proc Natl Acad Sci U S ARegional high-resolution climate projections are crucial for many applications, such as agriculture, hydrology, and natural hazard risk assessment. Dynamical downscaling, the state-of-the-art method to produce localized future climate information, involves running a regional climate model (RCM) driven by an Earth System Model (ESM), but it is too ...
Lopez-Gomez I +5 more
europepmc +6 more sources
Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979-2100). [PDF]
Sci Data, 2021 Dynamical downscaling is an important approach to obtaining fine-scale weather and climate information. However, dynamical downscaling simulations are often degraded by biases in the large-scale forcing itself.
Xu Z, Han Y, Tam CY, Yang ZL, Fu C.
europepmc +2 more sources
Choice of Downscaled Climate Product Matters: Projections of Valley Fever Seasonality in a Warming Climate [PDF]
GeoHealthDownscaled climate projections provide valuable information needed to better understand the impacts of climate change on health outcomes and to inform adaptation and mitigation strategies at local to regional scales.
Claire L. Schollaert +7 more
doaj +2 more sources
Earth's Future, 2022 Global climate models (GCMs) are essential for investigating climate change, but their coarse scale limits their efficacy for climate adaptation planning at the regional scales where climate impacts manifest.
Giovanni Di Virgilio +10 more
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Regional Dynamical Downscaling and the CORDEX Initiative [PDF]
Annual Review of Environment and Resources, 2015 We review the challenges and future perspectives of regional climate model (RCM), or dynamical downscaling, activities. Among the main technical issues in need of better understanding are those of selection and sensitivity to the model domain and resolution, techniques for providing lateral boundary conditions, and RCM internal variability.
Filippo Giorgi, William J. Gutowski
openaire +2 more sources
Fast and accurate learned multiresolution dynamical downscaling for precipitation [PDF]
arXiv.org, 2021 . 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.
Jiali Wang +5 more
semanticscholar +2 more sources
Dynamical downscaling of GloSea5 over Ethiopia
Climate Services, 2018 We have implemented dynamical downscaling of the Met Office GloSea5 global seasonal forecasting system and analysed its ability to generate skilful forecasts of characteristics of the June-September rainy season in Ethiopia that are of societal relevance.
S. Tucker +4 more
doaj +2 more sources