Interannual variations of the blocking high over the Ural Mountains and its association with the AO/NAO in boreal winter

Li, Chao; Zhang, Qingyun; Li, Ji; Jingbei, Peng

doi:10.1007/s13351-012-0203-3

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…Previous studies suggested that the positive NAO phase is associated with the enhanced zonal wind at mid-high latitudes [23,24], but the relationship between the changes of NAO variability and the mean state westerly wind is not quite clear. Dong et al [8] have found that the interannual NAO variability center intensified and was shifted in 1975-2004, compared with 1948-1974.…”

Section: Observed Changes In Nao Variability and Mean Westerly Windmentioning

confidence: 91%

Diagnosing Changes of Winter NAO in Response to Different Climate Forcings in a Set of Atmosphere-Only Timeslice Experiments

Ren

Chadwick

et al. 2018

Atmosphere

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Changes of the winter North Atlantic Oscillation (NAO) variability in response to different climate forcings, and their possible causes, are decomposed and investigated using a set of atmosphere-only timeslice experiments forced by sea surface temperature (SST) from coupled runs. The results indicate that the effects of uniform SST warming and direct CO 2 radiative forcing could enhance NAO variability, while SST pattern change could lead to large inter-model difference for model simulations. For the influences of uniform SST warming and the direct CO 2 radiative effect, the most significant air temperature increases occur at mid-low latitudes instead of northern polar regions, which produces a greater meridional temperature gradient at mid-high latitudes, thus leading to enhanced westerly winds according to the thermal wind theory. The effects of uniform SST warming and CO 2 direct radiative forcing could lead to intensification of winter NAO variability, although this result does not consider ocean-atmosphere coupling. The meridional temperature gradient decreases in most areas of the northern Atlantic under the forcing of SST pattern change, but with a larger inter-model uncertainty, which makes the change of winter NAO variability in response to SST pattern change an open issue.

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Section: Observed Changes In Nao Variability and Mean Westerly Windmentioning

confidence: 91%

Diagnosing Changes of Winter NAO in Response to Different Climate Forcings in a Set of Atmosphere-Only Timeslice Experiments

Ren

Chadwick

et al. 2018

Atmosphere

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“…For scheme 1, the maximum grid size in the refined area of the BOI block was set to be 50 m, the maximum grid spacing was set to be 150 m, and 1.83 million grids were generated. Li have demonstrated that a grid spacing of 150 m was sufficient to resolve the terrain-induced fluctuations in CFD simulations [23]. Finer grids were used for scheme 2.…”

Section: Cfd Model Settingsmentioning

confidence: 99%

Research on Short-Term Prediction Methods for Small-Scale Three-Dimensional Wind Fields

Ma,

Han,

Tang

et al. 2024

Applied Sciences

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The accurate prediction of small-scale three-dimensional wind fields is of great practical significance for aviation safety, wind power generation, and related fields. This study proposes a novel method for predicting small-scale three-dimensional wind fields by combining the mesoscale Weather Research and Forecasting (WRF) model with Computational Fluid Dynamics (CFD). The method consists of three components: the WRF module, the hybrid neural network prediction module, and the CFD module. First, mesoscale meteorological fields are simulated using the WRF module to establish a historical inflow boundary dataset for the CFD domain. Next, deep separable convolutions are incorporated, and convolutional long short-term memory (ConvLSTM) is combined with a deep separable convolution-gated recurrent unit (DSConvGRU) to construct a hybrid neural network prediction module named ConvLSTM-DSConvGRU. This module is employed for predicting inflow boundary data. Finally, the predicted inflow boundary conditions drive the CFD module to predict small-scale three-dimensional wind fields. The effectiveness of the WRF and CFD downscaling coupling method was validated using observed data from meteorological stations within the simulated domain, along with statistical indicators of errors. Additionally, a comparative evaluation was conducted between the proposed hybrid network model and the four commonly used spatiotemporal prediction models to assess its prediction performance. The results demonstrate that our proposed wind field prediction method achieves accurate simulation and short-term prediction of small-scale three-dimensional wind fields, and the hybrid network model exhibits comprehensive advantages in terms of model complexity and prediction accuracy.

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“…Thus it has potential applications in new drug research [3,4] . Praziquante is a kind of new anti-schistosomal drug, and NO that released from praziquante can effectively kill schistosoma and its eggs [5,6] . The above two NO donors can make a coupling reaction in ethylene glycol and form a NO donor which can serves as a new anti-schistosomal drug [7,8,9] .…”

Section: Introductionmentioning

confidence: 99%

A Potential Anti-schistosomal Agent Containing 1,2,5-Oxadiazole-2-oxide and Praziquante Moieties

Wang¹,

Zhang²

2015

Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

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Interannual variations of the blocking high over the Ural Mountains and its association with the AO/NAO in boreal winter

Cited by 10 publications

References 28 publications

Diagnosing Changes of Winter NAO in Response to Different Climate Forcings in a Set of Atmosphere-Only Timeslice Experiments

Diagnosing Changes of Winter NAO in Response to Different Climate Forcings in a Set of Atmosphere-Only Timeslice Experiments

Research on Short-Term Prediction Methods for Small-Scale Three-Dimensional Wind Fields

A Potential Anti-schistosomal Agent Containing 1,2,5-Oxadiazole-2-oxide and Praziquante Moieties

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