Air-Sea Interaction: Modeling and Dynamics

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (15 March 2023) | Viewed by 13514

Special Issue Editors

State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Science, Guangzhou 510301, China
Interests: air–sea interactions; numerical forecast; data assimilation; ocean modeling; storm surge; extreme wave; upwelling
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Science, Guangzhou 510301, China
Interests: coastal environment; storm surge; hydrodynamic process; sea level change; modeling

Special Issue Information

Dear Colleagues,

The air–sea interaction controls the exchange of mass, momentum, and heat between the atmosphere and the ocean. It significantly affects the development of atmospheric and ocean systems from the subscale to the global scale. In particular, the tropical cyclones (TCs) that pose an important threat to people's lives and property in coastal and offshore regions are accompanied by strong air–sea interactions. TCs cause high winds, extreme waves, and storm surges, which pose a major hazard to offshore activities and coastal areas. The process of the air–sea interaction plays an important role in the development of these extreme marine events. Improving the understanding of air–sea interaction processes, and describing these extreme processes in weather forecast models and air–sea coupling models, can improve their predictions and reduce potential damage. Although our ability to simulate the weather, ocean, and air–sea interactions has generally improved in recent years, there is still a lot of uncertainty, especially under extreme conditions. The goal of this research topic is to collect information on air–sea interactions in tropical ocean regions and how to improve the simulation and forecasting capabilities of extreme weather and ocean processes. We particularly welcome research with a focus on the following topics: air–sea interaction processes, boundary layer processes (such as air–wave, wave–current, and tide–surge interactions); optimization of key parameters of numerical models, simulation of extreme processes (such as tropical cyclones, extreme waves, storm surges) and their mechanisms; and the impact of climate change on atmospheric and oceanic extreme events. We also welcome research on the improvement of air–sea coupling models, the method of data assimilation, and the application of remote sensing data in these topics.

Dr. Yineng Li
Dr. Xing Wei
Guest Editors

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Keywords

  • air–sea interactions
  • tropical cyclones
  • storm surge
  • extreme wave
  • numerical modeling
  • data assimilation

Published Papers (8 papers)

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Research

18 pages, 5431 KiB  
Article
Study on the Impact of Typhoon Maria (2018) on Suspended Sediment in Hangzhou Bay, China
by Zhaokang Ji, Biyun Guo, Venkata Subrahmanyam Mantravadi, Jushang Wang and Yingliang Che
Atmosphere 2023, 14(4), 721; https://doi.org/10.3390/atmos14040721 - 16 Apr 2023
Viewed by 1222
Abstract
Sediment transport in coastal waters has an important impact on the siltation of port channels and changes in the estuary ecological environment. The southeast coast of China is often hit by typhoons, which can affect the suspended sediment concentration (SSC) in coastal waters. [...] Read more.
Sediment transport in coastal waters has an important impact on the siltation of port channels and changes in the estuary ecological environment. The southeast coast of China is often hit by typhoons, which can affect the suspended sediment concentration (SSC) in coastal waters. In this study, we used Geostationary Ocean Color Imager (GOCI) data to analyze SSC variations in Hangzhou Bay during Typhoon Maria (2018), and the influencing factors were also analyzed. The results showed that: (1) During the typhoon’s transit, the SSC in Hangzhou Bay (HZB) increased by 200–800 mg/L, which was one-fold higher than the day before the typhoon. The variation of SSC on the south bank was noticeable, and the typhoon effect on SSC lasted for 2–3 days; (2) The wind speed and significant wave height (SWH) increased during the typhoon. In general, in the early stage of the typhoon, the SSC in HZB was affected by the wind, and in the interim and late period, SSC was influenced by the effect of wind and wave height; (3) Typhoon “Maria” accelerated the transport of sediment and land-based pollutants from land to sea; the effect of residual current and wind stress are the driving mechanisms for seaward sediment transport. However, mechanisms and driving factors of sediment transport in coast water are complex and diverse. The results of this study can help to understand the processes of riverbed erosion and deposition in Hangzhou Bay and adjacent waters. They are also significant for the study of nearshore hydrodynamic characteristics of typhoons and channel engineering. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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14 pages, 3938 KiB  
Article
Dynamic Response of Atmospheric and Ocean Parameters and Their Relation to Typhoon Haikui (2012) Using Satellite Data
by Wangyuan Zhu, Mantravadi Venkata Subrahmanyam, Liuzhu Wang and Biyun Guo
Atmosphere 2023, 14(3), 518; https://doi.org/10.3390/atmos14030518 - 08 Mar 2023
Viewed by 1169
Abstract
Typhoon Haikui (2012) occurred in the northwestern Pacific Ocean, and landfall on the east coast of China brought heavy rainfall with strong winds. Because of Typhoon Haikui, sea surface temperature (SST) cooling of 3 °C occurred on the right side of the track, [...] Read more.
Typhoon Haikui (2012) occurred in the northwestern Pacific Ocean, and landfall on the east coast of China brought heavy rainfall with strong winds. Because of Typhoon Haikui, sea surface temperature (SST) cooling of 3 °C occurred on the right side of the track, mainly due to Ekman transport and upwelling. SST cooling on the left side was lower than on the right side, mainly due to the rainfall. Heavy precipitation occurred on both sides of the typhoon track; however, rainfall was higher on the left side of the typhoon track. This paper explains the dynamic process between atmospheric and oceanographic parameters and verifies the variations in chlorophyll and sea surface height data before, during, and after the typhoon. Typhoon Haikui demonstrates dynamic variations and intuitively illustrates the relationship between the ocean and atmospheric parameters. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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16 pages, 3424 KiB  
Article
ENSO and PDO Effect on Stratospheric Dynamics in Isca Numerical Experiments
by Daria Sobaeva, Yulia Zyulyaeva and Sergey Gulev
Atmosphere 2023, 14(3), 459; https://doi.org/10.3390/atmos14030459 - 24 Feb 2023
Cited by 4 | Viewed by 1164
Abstract
The deterministic forecast of the stratospheric polar vortex intensity (iSPV) is limited by 2 weeks, but it can be probabilistically predicted for a longer period due to low-frequency components of the climate system, such as large-scale sea surface temperature anomalies (SSTAs) (e.g., El [...] Read more.
The deterministic forecast of the stratospheric polar vortex intensity (iSPV) is limited by 2 weeks, but it can be probabilistically predicted for a longer period due to low-frequency components of the climate system, such as large-scale sea surface temperature anomalies (SSTAs) (e.g., El Niño Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO)). For a qualitative and quantitative assessment of the effect of the large-scale Pacific SSTAs on the iSPV anomalies formation, idealized model experiments were carried out using the Isca platform. There is no statistically significant response of the SPV dynamics to the SSTAs corresponding to PDO phases, but they noticeably correct the effect of ENSO modes when added to it. The effect of the El Niño (EN) and La Niña (LN) events with neutral PDO phases on the iSPV is asymmetric; in the “single” EN experiment the vortex is 40% weaker relative to the control values, and, in the “single” LN, the SPV is weakened by no more than 20%. When EN accompanied with the positive PDO phase, iSPV is reduced by 58%. When the negative PDO phase is added, the EN effect is significantly weakened. The LN effect is weakened by both positive and negative PDO phases. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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16 pages, 28479 KiB  
Article
Cyclonic and Anticyclonic Asymmetry of Reef and Atoll Wakes in the Xisha Archipelago
by Zhuangming Zhao, Yu Yan, Shibin Qi, Shuaishuai Liu, Zhonghan Chen and Jing Yang
Atmosphere 2022, 13(10), 1740; https://doi.org/10.3390/atmos13101740 - 21 Oct 2022
Viewed by 1236
Abstract
A high-resolution (∼500 m) numerical model was used to study the reef and atoll wakes in the Xisha Archipelago (XA) during 2009. Statistical analyses of simulation data indicated strong cyclonic dominance in the mixing layer (above ∼35 m) and weak anticyclonic dominance in [...] Read more.
A high-resolution (∼500 m) numerical model was used to study the reef and atoll wakes in the Xisha Archipelago (XA) during 2009. Statistical analyses of simulation data indicated strong cyclonic dominance in the mixing layer (above ∼35 m) and weak anticyclonic dominance in the subsurface layer (35∼160 m) for both eddies and filaments in the XA. The intrinsic dynamical properties of the flow, such as the vertical stratification and velocity magnitude, and the terrain of reefs and atolls had a significant effect on the asymmetry. Without considering the existence of reefs and atolls, the “background cyclonic dominance” generated under local planetary rotation (f4.1×105 s−1) and vertical stratification (with mean Brunt–Väisälä frequency N = 0.02 s−1 at 75 m) was stronger for filaments than eddies in the upper layer from 0∼200 m, and the larger vorticity amplitude in the cyclonic filaments could greatly enhance the cyclonic wake eddies. Furthermore, inertial–centrifugal instability induced selective destabilization of anticyclonic wake eddies in different water layers. As the Rossby number (Ro) and core vorticity (Burger number, Bu) decreased (increased) with the water depth, a more stable state was achieved for the anticyclonic wake eddies in the deeper layer. The stratification and slipping reefs and atolls also led to vertical decoupled shedding, which intensified the asymmetry. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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14 pages, 20878 KiB  
Article
Meteo-Climatic Conditions of Wind and Wave in the Perspective of Joint Energy Exploitation: Case Study of Dongluo Island, Hainan
by Bo Li, Junmin Li, Wuyang Chen, Junliang Liu and Ping Shi
Atmosphere 2022, 13(7), 1076; https://doi.org/10.3390/atmos13071076 - 07 Jul 2022
Cited by 1 | Viewed by 1324
Abstract
Combined wind and wave power generation has advantages such as energy synergy and complementarity and will play a leading role in the integrated development of offshore renewable energy. From the perspective of joint energy development, this study focuses on the meteo-climatic wind and [...] Read more.
Combined wind and wave power generation has advantages such as energy synergy and complementarity and will play a leading role in the integrated development of offshore renewable energy. From the perspective of joint energy development, this study focuses on the meteo-climatic wind and wave conditions in Dongluo Island, Hainan, in the South China Sea. Based on the concurrent measurement from in situ monitoring system, hourly data from June 2020 to September 2021 are used to reveal typical climate characteristics associated with the weak (inverse) correlation between wind and wave. The energy flux density of wind and wave are also assessed to describe the energy pattern. Principal component analysis (PCA) shows the wind parameters contribute a larger variance to the matrix of the wind–wave dataset than the waves, suggesting a lower stability of the wind climate. The first three components via PCA are then classified into five clusters to represent different climatic characteristics. Among them, the dominating cluster symbolizes a climatic circumstance with weaker winds and waves below normal. This cluster, evenly distributed in different seasons, shows the lowest wave–wind correlation, suggesting a favorable condition of the synergy of the two energies throughout the year. The clusters with the second and third largest sample sizes are mainly dominated in spring and winter, respectively. The magnitudes of the wind and wave parameters in these two clusters yield to a relation of “as one falls, another rises”, implying a high interest in complementarity between the two resources to a certain extent. The energy features inferred by meteo-climatic clusters are further verified by direct assessment of energy density. There are generally consistent variations between wind–wave climate and energy, both in magnitude and in seasonality. Based on these results, differentiated exploitation schemes considering the complementarity or synergy of wind and wave according to different seasons are recommended. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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11 pages, 5794 KiB  
Article
Evaluation of ERA5 Wave Parameters with In Situ Data in the South China Sea
by Junliang Liu, Bo Li, Wuyang Chen, Junmin Li and Jing Yan
Atmosphere 2022, 13(6), 935; https://doi.org/10.3390/atmos13060935 - 09 Jun 2022
Cited by 8 | Viewed by 2278
Abstract
In this paper, the accuracy of wave parameters of the European Centre for Medium-Range Weather Forecasting Reanalysis v5 (ERA5) in the South China Sea (SCS) is systematically examined with field measured data of two buoys at offshore sites and a subsea-based platform at [...] Read more.
In this paper, the accuracy of wave parameters of the European Centre for Medium-Range Weather Forecasting Reanalysis v5 (ERA5) in the South China Sea (SCS) is systematically examined with field measured data of two buoys at offshore sites and a subsea-based platform at a nearshore site, which has a total observational period of nearly three years. It is suggested that the wave parameters provided by ERA5, such as significant wave height (Hs) and mean wave period (Tm), are in good agreement with the observational data of the three sites. Compared with the in situ data, the correlation coefficient of ERA5 Hs is in the range of 0.87–0.93, and the root mean square error is only in the range of 0.22–0.57 m. The error of standard deviation does not exceed 0.29 m and is even as low as 0.04 m at two sites. The wave propagation directions of the ERA5 and in situ data are also basically the same. However, when the data are applied in engineering, some wave parameters extracted from ERA5 may deviate from the measured statistics. It is possible to significantly overestimate the average duration of a particular Hs. Further analysis shows that the possible errors of ERA5 wave parameters may be due to insufficient description of topographic conditions, which shows that the error value changes obviously with the wave direction. The results preliminarily confirm the validity of ERA5 data in the SCS, but also indicate that it is necessary to calibrate and validate the data adequately when applying the global model and its reanalysis data to specific ocean areas. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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14 pages, 7607 KiB  
Article
Effects of Environmental Relative Vorticity and Seasonal Variation on Tropical Cyclones over the Western North Pacific
by Yusi Wu, Shumin Chen, Mingsen Zhou, Yilun Chen, Aoqi Zhang, Chaoyong Tu and Weibiao Li
Atmosphere 2022, 13(5), 795; https://doi.org/10.3390/atmos13050795 - 13 May 2022
Cited by 2 | Viewed by 1773
Abstract
An improved understanding of the environmental factors influencing tropical cyclones (TCs) is vital to enhance the accuracy of forecasting TC intensity. More than half of TCs that were substantially affected by environmental factors were predominantly affected by low-level environmental relative vorticity (hereafter, VOR [...] Read more.
An improved understanding of the environmental factors influencing tropical cyclones (TCs) is vital to enhance the accuracy of forecasting TC intensity. More than half of TCs that were substantially affected by environmental factors were predominantly affected by low-level environmental relative vorticity (hereafter, VOR TCs). In this study, the seasonal variation and related physical features of VOR TCs from 2003–2017 during TC seasons in summer and autumn over the western North Pacific were analyzed. Autumn VOR TCs exhibited the strongest intensity among all TCs over the western North Pacific. The enhanced environmental relative vorticity during the TC intensification period was larger and more favorably distributed for VOR TC development in autumn. The vorticity diagnostic analysis showed that the convergence was the positive source of environmental relative vorticity of VOR TCs, while the contribution of convergence was larger in autumn than in summer. The increased convergence was related to seasonal variation in larger-scale systems, especially the higher environmental pressure gradient, which reflected the larger subtropical high and the compressed East Asian summer monsoon trough in autumn. In addition, the East Asian summer monsoon trough was also somewhat stronger during the intensification period of VOR TCs, especially in autumn. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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14 pages, 3971 KiB  
Article
The Effect of the Water Tower of Typhoon Mangkhut (2018)
by Haosheng Zuo, Yilun Chen, Shumin Chen, Weibiao Li and Aoqi Zhang
Atmosphere 2022, 13(4), 636; https://doi.org/10.3390/atmos13040636 - 18 Apr 2022
Cited by 3 | Viewed by 1901
Abstract
On 16 September 2018, the Yangtze River Delta (YRD) experienced heavy precipitation, with the local daily precipitation exceeding 250 mm. Using ERA5 reanalysis data and satellite observations from the GPM, we review this heavy rain event in terms of its meteorological triggers and [...] Read more.
On 16 September 2018, the Yangtze River Delta (YRD) experienced heavy precipitation, with the local daily precipitation exceeding 250 mm. Using ERA5 reanalysis data and satellite observations from the GPM, we review this heavy rain event in terms of its meteorological triggers and water vapor transport. As the high-level water vapor produced by Typhoon Mangkhut continued to be transported northward, the precipitation in the YRD gradually increased, and stratus precipitation played a major role in this event. The high-level water vapor continued to be transported northward to the east of Taiwan Island without falling, so heavy precipitation did not appear to the east of Taiwan Island. In the present study, we suggest that the meteorological trigger of this event was mainly the gradual falling of ice particles moving northward from a high altitude. The high-level ice particles originated from the “water tower” at the center of Typhoon Mangkhut, which pumped low-level water vapor into the high-level water vapor. In general, the appearance of abnormal values of high-level water vapor transport is an important atmospheric disturbance related to heavy precipitation in the downstream areas of high-level wind, and the typhoon water tower can be used as an important forecast signal for long-distance heavy precipitation in China during the active typhoon period. Full article
(This article belongs to the Special Issue Air-Sea Interaction: Modeling and Dynamics)
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