Results 11 to 20 of about 1,188 (159)
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
Optimal Spectral Nudging for Global Dynamic Downscaling [PDF]
This study analyzes a method of constructing a homogeneous, high-resolution global atmospheric hindcast. The method is the spectral nudging technique, which was applied to a state-of-the-art general circulation model (ECHAM6, T255L95). Large spatial scales of the global climate model prognostic variables were spectrally nudged toward a reanalysis ...
Schubert-Frisius, M. +3 more
openaire +3 more sources
We present an intercomparison of a suite of high‐resolution downscaled climate projections based on a six‐member General Circulation Model (GCM) ensemble from Coupled Models Intercomparison Project (CMIP6).
Deeksha Rastogi +2 more
doaj +1 more source
Extensive investigations on the projection of heat waves (HWs) were conducted on the basis of coarse-resolution global climate models (GCMs). However, these investigations still fail to characterise the future changes in HWs regionally over China. PRECIS
Ming Zhang +3 more
doaj +1 more source
Verification of statistical-dynamical downscaling in the Alpine region [PDF]
A statistical-dynamical downscaling procedure for global climate sirnulations is verified for the greater Alpine region. This procedure links global and regional model simulations using frequencies of large-scale weather types in order to derive the regional climate corresponding to a given global climate. The results from multi-year global simulations
Fuentes, U., Heimann, D.
openaire +2 more sources
Empirical-statistical downscaling (ESD) can be a computationally advantageous alternative to dynamical downscaling in representing a high-resolution regional climate. Two distinct strategies of ESD are employed here to reconstruct near-surface winds in a
Christopher M. Rozoff +1 more
doaj +1 more source
Almost every year, Vietnam suffers floods resulting in the loss of many lives and considerable costs for damaged and lost properties. This study proposes a forecasting system that couples the dynamical downscaling technique with hydrologic models to ...
Toan Trinh, N. Do, L. Trinh, K. Carr
doaj +1 more source
Fast and accurate learned multiresolution dynamical downscaling for precipitation [PDF]
Abstract. 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. The key idea is to use combination of low- and high- resolution simulations to train a neural network to map from the former to the latter. Specifically,
Jiali Wang +5 more
openaire +4 more sources
The selective dynamical downscaling method for extreme‐wind atlases [PDF]
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.
X.G. Larsén +3 more
openaire +2 more sources
To evaluate the dynamical downscaling prediction skill on the averaged precipitation in flood season over Chongqing, using WRF model based on Beijing Climate Center (BCC) second-generation seasonal prediction model system (BCCv2) product, we have ...
Haonan ZHU +5 more
doaj +1 more source

