Results 21 to 30 of about 4,088,927 (359)

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

Journal 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, Kei Ishida, Ali Ercan, Masato Kiyama, Motoki Amagasaki, Tongtiegang Zhao   +5 more
doaj   +1 more source

Using Machine Learning to Cut the Cost of Dynamical Downscaling

Earth's Future, 2023
Global climate models (GCMs) are commonly downscaled to understand future local climate change. The high computational cost of regional climate models (RCMs) limits how many GCMs can be dynamically downscaled, restricting uncertainty assessment.
S. Hobeichi, N. Nishant, Yawen Shao, G. Abramowitz, Andrea Pitman, S. Sherwood, C. Bishop, Samuel Green   +7 more
semanticscholar   +1 more source

Optimal Spectral Nudging for Global Dynamic Downscaling [PDF]

Monthly 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., Feser, F., Storch, H.v., Rast, S.   +3 more
openaire   +3 more sources

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

Earth'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, Shih‐Chieh Kao, Moetasim Ashfaq   +2 more
doaj   +1 more source

Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation

Environmental Research Letters, 2023
Dynamical downscaling (DD), and machine learning (ML) based techniques have been widely applied to downscale global climate models and reanalyses to a finer spatiotemporal scale, but the relative performance of these two methods remains unclear.
N. Nishant, S. Hobeichi, S. Sherwood, G. Abramowitz, Yawen Shao, C. Bishop, A. Pitman   +6 more
semanticscholar   +1 more source

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

Advances 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, Zhong-Yang Guo, Guang-Tao Dong, Jian-Guo Tan   +3 more
doaj   +1 more source

Use-Inspired, Process-Oriented GCM Selection: Prioritizing Models for Regional Dynamical Downscaling

Bulletin of The American Meteorological Society - (BAMS), 2023
Dynamical downscaling is a crucial process for providing regional climate information for broad uses, using coarser resolution global models to drive higher-resolution regional climate simulations.
N. Goldenson, L. Leung, L. Mearns, D. Pierce, K. Reed, I. Simpson, P. Ullrich, Will Krantz, A. Hall, Andrew D. Jones, S. Rahimi   +10 more
semanticscholar   +1 more source

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

Energies, 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, Stefano Alessandrini   +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

Journal 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

VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM

International Conference on Data Technologies and Applications, 2021
This work presents a new dataset for recent climate developed within the Highlander project by dynamically downscaling ERA5 reanalysis, originally available at ≃31 km horizontal resolution, to ≃2.2 km resolution (i.e., convection permitting scale ...
M. Raffa, A. Reder, G. Marras, M. Mancini, G. Scipione, M. Santini, P. Mercogliano   +6 more
semanticscholar   +1 more source