Results 11 to 20 of about 13,568 (200)
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
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
Comparison of statistical and dynamical downscaling methods for seasonal-scale winter precipitation predictions over north India [PDF]
The main aim of the present study is to analyse the capabilities of two downscaling approaches (statistical and dynamical) in predicting wintertime seasonal precipitation over north India.
Acharya +45 more
core +1 more source
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
Regional climate projections in two alpine river basins: Upper Danube and Upper Brahmaputra [PDF]
Projections from coarse-grid global circulation models are not suitable for regional estimates of water balance or trends of extreme precipitation and temperature, especially not in complex terrain.
Ahrens, Bodo +4 more
core +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
The hybrid dynamical-statistical downscaling approach is an effort to combine the ability of dynamical downscaling to resolve fine-scale climate changes with the low computational cost of statistical downscaling.
Quan Tran Anh, Kenji Taniguchi
doaj +1 more source

