A new dynamical downscaling approach with GCM bias corrections and spectral nudging [PDF]
AbstractTo improve confidence in regional projections of future climate, a new dynamical downscaling (NDD) approach with both general circulation model (GCM) bias corrections and spectral nudging is developed and assessed over North America. GCM biases are corrected by adjusting GCM climatological means and variances based on reanalysis data before the
Zhongfeng Xu, Zong‐Liang Yang
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Two high-resolution Chinese regional reanalysis (CNRR) datasets at a resolution of 18 km during the period of 1998–2009 are generated by Gridpoint Statistical Interpolation (GSI) data assimilation system and spectral nudging (SN) method.
Yutong Lu +8 more
doaj +1 more source
Inferring flow parameters and turbulent configuration with physics-informed data assimilation and spectral nudging [PDF]
Inferring physical parameters of turbulent flows by assimilation of data measurements is an open challenge with key applications in meteorology, climate modeling and astrophysics. Up to now, spectral nudging was applied for empirical data-assimilation as a mean to improve deterministic and statistical predictability in the presence of a restricted set ...
Patricio Clark Di Leoni +2 more
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Sensitivity of the WRF model to PBL parametrisations and nesting techniques: evaluation of wind storms over complex terrain [PDF]
Simulating surface wind over complex terrain is a challenge in regional climate modelling. Therefore, this study aims at identifying a set-up of the Weather Research and Forecasting Model (WRF) model that minimises systematic errors of surface winds in ...
J. J. Gómez-Navarro +2 more
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Full-field and anomaly initialization using a low-order climate model: a comparison and proposals for advanced formulations [PDF]
Initialization techniques for seasonal-to-decadal climate predictions fall into two main categories; namely full-field initialization (FFI) and anomaly initialization (AI).
Asif, M. +5 more
core +2 more sources
The impact of wave number selection and spin‐up time in spectral nudging [PDF]
Numerous studies have been presented describing the benefits of using Nudging to constrain the evolution of a numerical model. Recently, a variation of this approach called Spectral Nudging has gained popularity for its ability to maintain the higher temporal and spatial variability of the model results, while forcing the large scales in the solution ...
B. Gómez, G. Miguez‐Macho
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In order to improve the simulation accuracy, it is effective to use a data assimilation technique which is capable of reproducing more realistic simulated states by incorporating observational data into simulation models.
Hiromasa Nakayama, Tetsuya Takemi
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Re-examining the roles of surface heat flux and latent heat release in a “hurricane-like” polar low over the Barents Sea [PDF]
Polar lows are intense mesoscale cyclones that occur at high latitudes in both hemispheres during winter. Their sometimes evidently convective nature, fueled by strong surface fluxes and with cloud-free centers, have led to some polar lows being referred
Albright +63 more
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Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities [PDF]
There is evidence of an increased frequency of rapid intensification events of tropical cyclones (TCs) in global offshore regions. This will not only result in increased peak wind speeds but may lead to more intense heavy precipitation events, leading to
Q. Sun +10 more
doaj +1 more source
Representation of spatial and temporal variability of daily wind speed and of intense wind events over the Mediterranean Sea using dynamical downscaling: impact of the regional climate model configuration [PDF]
Atmospheric datasets coming from long term reanalyzes of low spatial resolution are used for different purposes. Wind over the sea is, for example, a major ingredient of oceanic simulations.
C. Dubois +4 more
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