NUMERICAL SIMULATIONS OF TYPHOON 1821 BY THE WRF MODEL AND INVESTIGATIONS OF THE FAVORABLE WIND FIELD INDUCING THE STORM SURGE

2019 ◽  
Vol 75 (2) ◽  
pp. I_295-I_300
Author(s):  
Fumiya INOUE ◽  
Wataru ECHIZENYA ◽  
Rikito HISAMATSU ◽  
Kei HORIE
Keyword(s):  
Numerical Simulations ◽  
Storm Surge ◽  
Wind Field ◽  
Wrf Model

scholarly journals Simulation of Storm Surge in Seto Inland Sea with Wind Field Estimated by Empirical Typhoon Model and Mesoscale Model

2007 ◽  
Vol 54 ◽  
pp. 286-290 ◽  
Author(s):  
Hiroyasu KAWAI ◽  
Koji KAWAGUCHI ◽  
Tatsuo OHKAMA ◽  
Nobuaki TOMODA ◽  
Yukimasa HAGIMOTO ◽  
...  
Keyword(s):  
Storm Surge ◽  
Wind Field ◽  
Mesoscale Model ◽  
Seto Inland Sea

scholarly journals A Numerical Simulation of Extratropical Storm Surge and Hydrodynamic Response in the Bohai Sea

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yumei Ding ◽  
Lei Ding
Keyword(s):  
Storm Surge ◽  
Bohai Sea ◽  
Model Simulation ◽  
Three Dimensional ◽  
Wrf Model ◽  
Ocean Model ◽  
Tidal Currents ◽  
The Bohai Sea ◽  
Hydrodynamic Response ◽  
Coastal Ocean Model

A hindcast of typical extratropical storm surge occurring in the Bohai Sea in October 2003 is performed using a three-dimensional (3D) Finite Volume Coastal Ocean Model (FVCOM). The storm surge model is forced by 10 m winds obtained from the Weather Research Forecasting (WRF) model simulation. It is shown that the simulated storm surge and tides agree well with the observations. The nonlinear interaction between the surge and astronomical tides, the spatial distribution of the maximum surge level, and the hydrodynamic response to the storm surge are studied. The storm surge is the interaction of the surge and the astronomical tides. The currents change rapidly during the storm surge and turn to be the unidirectional at some places where the tidal currents are usually rectilinear. The results show that the local surge current velocity in each depth, with a magnitude of the same order as the astronomic tidal currents, increases or decreases rapidly depending on the relationship between the winds and current directions. Furthermore, the current pattern gets more complicated under the influence of the direction of the winds, which might affect sand movement in the coastal water of the Bohai Sea.

scholarly journals A Study on Microscale Wind Simulations with a Coupled WRF–CFD Model in the Chongli Mountain Region of Hebei Province, China

Atmosphere ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 731
Author(s):  
Shaohui Li ◽  
Xuejin Sun ◽  
Shan Zhang ◽  
Shijun Zhao ◽  
Riwei Zhang
Keyword(s):  
Wind Field ◽  
Complex Terrain ◽  
Wrf Model ◽  
Mountain Region ◽  
Weather Research And Forecasting ◽  
Cfd Model ◽  
Improved Method ◽  
Comprehensive Understanding ◽  
Cfd Models ◽  
Computational Fluid Dynamics Cfd

To ensure successful hosting of the 2022 Olympic Winter Games, a comprehensive understanding of the wind field characteristics in the Chongli Mountain region is essential. The purpose of this research was to accurately simulate the microscale wind in the Chongli Mountain region. Coupling the Weather Research and Forecasting (WRF) model with a computational fluid dynamics (CFD) model is a method for simulating the microscale wind field over complex terrain. The performance of the WRF-CFD model in the Chongli Mountain region was enhanced from two aspects. First, as WRF offers multiple physical schemes, a sensitivity analysis was performed to evaluate which scheme provided the best boundary condition for CFD. Second, to solve the problem of terrain differences between the WRF and CFD models, an improved method capable of coupling these two models is proposed. The results show that these improvements can enhance the performance of the WRF-CFD model and produce a more accurate microscale simulation of the wind field in the Chongli Mountain region.

The European wind from observational and simulated databases

2020 ◽  
Author(s):  
Elena García-Bustamante ◽  
Jorge Navarro ◽  
Jesús Fidel González-Rouco ◽  
E. Etor Lucio- Eceiza ◽  
Cristina Rojas-Labanda ◽  
...  
Keyword(s):  
Wind Field ◽  
Mesoscale Model ◽  
Surface Wind ◽  
Wrf Model ◽  
Horizontal Resolution ◽  
Spatial And Temporal Variability ◽  
Model Simulations ◽  
Wind Variability ◽  
Observational Database ◽  
Wind Velocities

<p>The New European Wind Atlas (https://map.neweuropeanwindatlas.eu) is developed based on the simulated wind field over Europe from a mesoscale model coupled to a microscale component through a statistical downscaling approach. The simulation that provides mesoscale inputs within the model chain has been decided upon a careful sensitivity analysis of potential model configurations. In order to accomplish model resolutions of 3 km over Europe, the broader European domain is partitioned into a set of 10 partially overlapping tiles. The wind field is simulated with the WRF model over these tiles and finally blended into a single domain. The wind outputs from a reference simulation is evaluated on the basis of its comparison with an observational database specifically compiled and quality controlled for the purpose of validating the wind atlas over the complete European domain. The observational database includes surface wind observations at ca. 4000 sites as well as 16 masts datasets. The observational dataset of surface wind (WISED) is informative about the spatial and temporal variability of the wind climatology, punctuated with singular masts that provide information of wind velocities at height. The validation of the mesoscale simulation aims at investigating the ability of the high-resolution simulation to reproduce the observed intra-annual variability of daily wind within the entire domain.</p><p>Observed and simulated winds are higher at the British, North Sea and Baltic shores and lowlands. Correlations are typically over 0.8. Surface wind variability tends to be overestimated in the northern coasts and underestimated elsewhere and inland. Mast wind variability tends to be overestimated except for some southern sites. Seasonal differences seem minor in these respects. Biases and RMSE can help identifying if systematic errors in specific tiles take place.</p><p>Therefore, performing model simulations of a high horizontal resolution over the broader European domain is possible. We can learn about the variability of surface and height wind both from observations and model simulations. Model observations are not perfect, but observations also present uncertainties. Good quality wind data, both at the surface and in masts are a requisite for robust evaluation of models. European wide features of wind variability can be recognized both in observations and simulations.</p>

The Effects of Vertical Stratification and Land Use Data on Numerical Simulation of Wind Energy Resources

2014 ◽  
Vol 535 ◽  
pp. 135-140
Author(s):  
Yuan Chang Deng ◽  
Zhen Cao Zou
Keyword(s):  
Numerical Simulation ◽  
Land Use ◽  
Wind Field ◽  
Wind Profile ◽  
Surface Wind ◽  
Wrf Model ◽  
Vertical Stratification ◽  
Near Surface ◽  
Wind Field Simulation ◽  
Surface Wind Field

By adjusting the distribution of vertical layers and increasing its number in WRF model, this paper mainly studies the effects of vertical stratification on the near surface wind field and vertical profile simulation. The test outcomes show that moderately increasing vertical layers can effectively improve the near surface wind field simulation results, while it has little influence on the numeral and changing trend of high vertical wind profile. Considering both accuracy and efficiency, it is recommended to set 10~15 layers below 300m. On the basis of this research, instead of USGS data by using the MODIS_30S data, the data underlying surface land in Shenzhen and HK area are updated. Comparative results between the two schemes, due to the roughness and drag coefficient of difference types of surface are not identical; the surface data has a significant impact on wind field and wind profile simulation. Using the MODIS land use data which is more consistent with the actual situation can improve the accuracy of numerical simulation.

Atmospheric Wake of Madeira: First Aerial Observations and Numerical Simulations

2015 ◽  
Vol 72 (12) ◽  
pp. 4755-4776 ◽  
Author(s):  
Vanda Grubišić ◽  
Johannes Sachsperger ◽  
Rui M. A. Caldeira
Keyword(s):  
High Resolution ◽  
Numerical Simulations ◽  
Marine Boundary Layer ◽  
Wrf Model ◽  
Remote Sensing Data ◽  
Shear Zones ◽  
Sensitivity Analyses ◽  
Horizontal Wind ◽  
Horizontal Wind Speed ◽  
Airborne Measurements

Abstract The island of Madeira is well known for giving rise to atmospheric wakes. Strong and unsteady atmospheric wakes, resembling a von Kármán vortex street, are frequently observed in satellite images leeward of Madeira, especially during summer months, when conditions favoring the formation of atmospheric wakes occur frequently under the influence of the Azores high. Reported here is the analysis of the first airborne measurements of Madeira’s wake collected during the 2010 Island-induced Wake (I-WAKE) campaign. High-resolution in situ and remote sensing data were collected in the I-WAKE by a research aircraft. The measurements reveal distinctive wake signatures, including strong lateral wind shear zones and warm and dry eddies downwind of the island. A strong anticorrelation of the horizontal wind speed and sea surface temperature (SST) was found within the wake. High-resolution numerical simulations with the Weather Research and Forecasting (WRF) Model were used to study the dynamics of the wake generation and its temporal evolution. The comparison of the model results and observations reveals a remarkable fidelity of the simulated wake features within the marine boundary layer (MBL). Strong potential vorticity (PV) anomalies were found in the simulated MBL wake, emanating from the flanks of the island. The response of the wake formation within the MBL to surface friction and enhanced thermal forcing is explored through the model sensitivity analyses.

scholarly journals The mechanism of after-runner storm surge along the Northern coast of Vietnam

2017 ◽  
Vol 17 (4B) ◽  
pp. 208-216
Author(s):  
Nguyen Ba Thuy
Keyword(s):  
Wind Field ◽  
Pressure Field ◽  
Research Result ◽  
Wrf Model ◽  
Coupled Model ◽  
Storm Surges ◽  
Observation Data ◽  
Northern Coast ◽  
Before And After ◽  
Coast Of Vietnam

In this study, the mechanism of sea level rise along the Northern coast of Vietnam after the landfall of the Typhoon Kalmaegi (September/2014) at Quang Ninh province was analyzed based on the observation data and the results of a coupled model of surge, wave and tide (called SuWAT), by using asymmetric and symmetric wind and pressure fields. For the asymmetric wind and pressure field, the Weather Research and Forecasting (WRF) model was used, while for the symmetric wind and pressure field, a parametric wind and pressure model was used. In the case using wind fields from the WRF model, the case that did not consider the effect of tail wind field after the typhoon landfall was also conducted in order to assess the role of the wind field before and after the typhoon landfall on the surge. The results showed that the case using wind and pressure field from the WRF model showed better agreement with observation data, because the WRF model well simulated the wind and pressure field before and after the typhoon landfall. The strong tail wind mainly caused the high surge in the area. This research result will be useful in warning and forecasting storm surges in the area.

scholarly journals Investigation typhoon induced storm surge and high wave in Vietnam using coupled Delft3d-FLOW – WAVE models combined with weather research forecast (WRF) output wind field

2021 ◽  
Vol 4 (1) ◽  
pp. first
Author(s):  
LE TUAN ANH ◽  
DANG HOANG ANH ◽  
MAI THI YEN LINH ◽  
NGUYEN DANH THAO
Keyword(s):  
Storm Surge ◽  
Wave Height ◽  
Wind Field ◽  
Mekong Delta ◽  
Coastal Areas ◽  
Coupled Models ◽  
High Wave ◽  
Wave Models ◽  
The Impact ◽  
Weather Research

Introduction: Typhoon-induced disasters including storm surge and high wave are obvious threats to coastal areas in Vietnam. Thus, many researchers have paid their attention to this issue. The approaching methods are varied, including statistical methods and also numerical methods. This study suggests the coupled models Delft3D-FLOW and WAVE, using the meteorological output data from the Weather Research Forecast (WRF) for investigating the typhoon induced disasters in the coastal areas in Viet Nam. Method: WRF is run in multiple domains with different grid resolutions simultaneously and there is an interaction between them to reproduce the wind field during the typhoon events. Delft3D-FLOW is coupled with Delft3D-WAVE (SWAN) through a dynamic interaction, in which the FLOW module considers the received radiation stresses calculated by the wave module. On the other side, the updated water depth including the contribution of the storm surge will be used by the WAVE module. Both Delft3D-FLOW and Delft3D-WAVE models used wind fields from the WRF simulation output as the meteorological input data. The total surge level includes the storm surge, wave-induced setup and the tidal level. Results: The case of extreme weather event Typhoon Kaemi (2000) was used to validate the wind field and the wave height. The calibration process of the the storm surge level was based on the observed data during Typhoon Xangsane (2006), while Typhoon Durian (2006) were used to validate the coupled models. The comparisons show the good agreement between simulated results and observed data, especially in terms of the peak water level and highest significant wave height, which mainly governed by the typhoon wind field. The simulated results reveal that the surge height durring Typhoon Durrian period along its path was ranged from 1.2 to more than 1.4m, which can be considered to pose the greatest risk to low-lying coastal areas of the Mekong Delta. Conclusion: The suggested coupled models can be used to investigate the impact of typhoon induced disasters.

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