Results 11 to 20 of about 1,188 (159)

Hybrid precipitation downscaling over coastal watersheds in Japan using WRF and CNN

open access: yesJournal of Hydrology: Regional Studies, 2021
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]

open access: yesMonthly Weather Review, 2017
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

How May the Choice of Downscaling Techniques and Meteorological Reference Observations Affect Future Hydroclimate Projections?

open access: yesEarth's Future, 2022
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

Projected heat wave increasing trends over China based on combined dynamical and multiple statistical downscaling methods

open access: yesAdvances in Climate Change Research, 2023
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]

open access: yesClimate Research, 1996
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

A Comparison between Analog Ensemble and Convolutional Neural Network Empirical-Statistical Downscaling Techniques for Reconstructing High-Resolution Near-Surface Wind

open access: yesEnergies, 2022
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

Flood forecasting by means of dynamical downscaling of global NWPs coupling with a hydrologic model at Nong Son-Thanh My River basins

open access: yesJournal of Water and Climate Change, 2023
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]

open access: yesGeoscientific Model Development, 2021
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]

open access: yesWind Energy, 2012
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

Evaluation of dynamical downscaling prediction of BCC second-generation model system product to precipitation over Chongqing during the flood season of 2016

open access: yes暴雨灾害, 2019
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

Home - About - Disclaimer - Privacy