Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling. [PDF]
The 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.
Reder A +3 more
europepmc +2 more sources
Dynamical-generative downscaling of climate model ensembles [PDF]
Regional 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 ...
Ignacio Lopez-Gomez +5 more
openaire +4 more sources
Choice of Downscaled Climate Product Matters: Projections of Valley Fever Seasonality in a Warming Climate. [PDF]
Downscaled 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.
Schollaert CL +7 more
europepmc +2 more sources
Dynamical downscaling of GloSea5 over Ethiopia
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. The downscaling used a regional model with a resolution of 25 km, and the same atmosphere and land
S. Tucker +4 more
openaire +3 more sources
Dynamical and statistical downscaling of precipitation and temperature in a Mediterranean area [PDF]
In this paper we present and discuss a comparison between statistical and regional climate modeling techniques for downscaling GCM prediction. The comparison is carried out over the Capitanata region, an area of agricultural interest in south-eastern ...
Lionello, Piero +5 more
core +4 more sources
Is Bias Correction in Dynamical Downscaling Defensible?
AbstractLocalized projections of 21st‐century hydroclimate variables obtained from downscaling Global Climate Model (GCM) output are central to informing regional impact assessments and infrastructure planning. Regional GCM biases can be significant and, for dynamical downscaling, can be addressed either before (a priori) or after (a posteriori ...
Mark D. Risser +5 more
openaire +2 more sources
Precipitation Dynamical Downscaling Over the Great Plains [PDF]
AbstractDetailed, 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 warm months.
Xiao‐Ming Hu +5 more
openaire +2 more sources
The CORDEX.be initiative as a foundation for climate services in Belgium [PDF]
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 ...
Bauwens, Maite +32 more
core +4 more sources
Bias-corrected NESM3 global dataset for dynamical downscaling under 1.5 °C and 2 °C global warming scenarios. [PDF]
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 ...
Zhang MZ, Han Y, Xu Z, Guo W.
europepmc +2 more sources
Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN
Study region: Kuma River Watershed in Japan. Study focus: High-quality precipitation information is desirable in hydrological modeling and water resources management.
Tongbi Tu +5 more
doaj +1 more source

