Article
Environmental Sciences
Youzhi Ma, Wenbin Yin, Zheng Guo, Jiliang Xuan
Summary: In this study, surface flow fields in the East China Sea were estimated using geostationary satellite data and the maximum cross-correlation algorithm. The inversion results were validated against modeled tidal current and measured tidal elevation data, demonstrating their reliability. The research findings provide valuable data support for the study of local ocean dynamics and verify the reliability of short-period surface flow inversion using geostationary satellites in high-turbidity waters.
Article
Microbiology
Hualin Liu, Xueyu Cai, Kunwen Luo, Sihan Chen, Ming Su, Jianguo Lu
Summary: Deep-sea microbes play important roles in biogeochemical cycles and climate change. However, research on them is limited by the difficulty of sample collection. In this study, we investigated microbial diversity and community turnover in sediment samples from a submarine canyon in the South China Sea. We found that microbial diversity varied significantly between vertical sediment layers and the functions of the microbes were mainly related to carbohydrate metabolism and sulfur cycling.
MICROBIOLOGY SPECTRUM
(2023)
Review
Geosciences, Multidisciplinary
Ibsen Chivata Cardenas, Terje Aven, Roger Flage
Summary: Quantifying uncertainty in geohazard models poses challenges in parameterization, credible predictions, uncertainty of input quantities, and conditional quantification. Addressing these challenges requires more insightful approaches and clarifications of fundamental concepts.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Marine & Freshwater Biology
Jialin Bi, Yan Liu, Xiangsheng Kong, Liping Wang, Xiaoyu Cai, Liangkun Nie, Chao Zhan, Guoqing Li, Fuxi Wang, Xiaohui Wang, Xianbin Liu, Xiang Yu
Summary: This study systematically explores the feasibility of using a MERIS-based SSS retrieval algorithm in GOCI images of the Chinese Bohai Sea and proposes an improved SSS retrieval algorithm. Through validation and analysis, the temporal and spatial variations of SSS in the Chinese Bohai Sea and the impact of runoff on SSS were obtained.
JOURNAL OF SEA RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Luca Famooss Paolini, Panos J. Athanasiadis, Paolo Ruggieri, Alessio Bellucci
Summary: The study shows that the changes in sea surface temperature gradient of the Gulf Stream have a significant impact on atmospheric circulation, with results varying depending on the resolution of the models used. High-resolution simulations produce results closer to observed anomalies.
JOURNAL OF CLIMATE
(2022)
Article
Environmental Sciences
He Cui, Jianyu Chen, Zhenyi Cao, Haiqing Huang, Fang Gong
Summary: In this study, the MCC algorithm and an optimization algorithm combined with tidal ellipses were used to obtain sea-surface currents in the Yellow Sea and the East China Sea. The proposed method improved the accuracy of measurements compared to existing methods.
Article
Environmental Sciences
Xiaoyan Liu, Qian Yang, Yunhua Wang, Yu Zhang
Summary: This paper evaluates and analyzes the quality of R-rs(lambda) spectra obtained from four atmospheric-correction algorithms in the Bohai Sea using GOCI data. The results show that the GDPS1.3 algorithm has a good quality of over 90% of the R-rs(lambda) data. The study also demonstrates the effectiveness of the QA score system in evaluating the spectral shape of R-rs(lambda) through comparisons with field and MODIS measurements. Additionally, the study investigates the hourly variation of QA scores and finds that the data quality of GOCI R-rs(lambda) can vary on an hourly scale.
Article
Environmental Sciences
Y. L. Mauzole
Summary: A novel method is introduced to objectively and automatically identify persistent thermal fronts across the ocean. By applying an algorithm to satellite observations, persistent sea surface temperature (SST) fronts can be located globally in an automated manner, leading to new insights in the study of frontal zones.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Fengguan Gu, Rui Zhang, Xiangshan Tian-Kunze, Bo Han, Lei Zhu, Tingwei Cui, Qinghua Yang
Summary: A new method was developed in this study to retrieve sea ice thickness in Liaodong Bay using satellite images, which outperforms previous methods in accuracy and spatiotemporal resolution. The method is also cost-effective and suitable for operational sea ice thickness retrieval in the global ocean.
Article
Oceanography
Teodor Vrecica, Nick Pizzo, Luc Lenain
Summary: This study provides novel high-resolution airborne remote sensing and in situ observations of wave-current interaction at a submesoscale front near the island of O'ahu, Hawaii. The results show strong modulation of the surface wave field across the frontal boundary, leading to significant spatial inhomogeneities in the wave and wave breaking statistics.
JOURNAL OF PHYSICAL OCEANOGRAPHY
(2022)
Article
Environmental Sciences
Yuting Yang, Kin-Man Lam, Xin Sun, Junyu Dong, Redouane Lguensat
Summary: Marine hydrological elements play a vital role in marine surveys, and understanding their evolution is crucial for studying the relationship between human activities and marine hydrology. This paper proposes a novel method called Evolution Trend Recognition (ETR) to recognize the trend of ocean fronts, which are important indicators of ocean dynamic processes. The paper focuses on the classification of ocean-front trends using a classification algorithm and a deep neural network, and introduces two new databases for research in this direction. Experimental results show that the proposed method achieves a high classification accuracy, demonstrating the promising potential of the ETR algorithm for trend classification.
Article
Environmental Sciences
Kazutaka Nagayama, Hideyuki Tonooka
Summary: In this study, we developed a method for predicting the area of high-turbidity water using machine learning with satellite-observed total suspended solids (TSS) product and meteorological and oceanographic data. The results showed that the highest accuracy was achieved using random forest regression, with a coefficient of determination of 0.552. The most important factors for the prediction were high-turbidity water area, wind, and tide level, while rainfall had a small effect due to the river's flood-control function.
Article
Engineering, Ocean
Gaetano Porcile, Francesco Enrile, Giovanni Besio, Michele Bolla Pittaluga
Summary: This study simulated numerically the salinity and turbidity currents developing on steep and mild slopes two dimensionally, using the Delft3D-Flow process-based model. The results showed that the non-hydrostatic solutions captured in detail the time-dependent stages of dense undercurrents, while the hydrostatic solutions predicted fairly well the steady state of the undercurrents.
APPLIED OCEAN RESEARCH
(2022)
Article
Geology
Yue Sun, Dawei Wang, Miquel Canals, Tiago M. Alves, Weiwei Wang, Yousheng Zhu, Yongpeng Qin, Fanchang Zeng, Yu Zheng
Summary: This study utilizes a high-resolution dataset to analyze the bedform sets in a submarine canyon in the South China Sea. The results reveal the presence of cyclic steps and furrow fields, providing insights into their formation and evolution.
Article
Remote Sensing
Junyu He, George Christakos, Bernard Cazelles, Jiaping Wu, Jianxing Leng
Summary: This study proposed a synthetic approach combining different analytical methods to quantitatively assess the association between global sea surface chlorophyll concentration (SSCC) and sea surface temperature (SST). Results showed strong synchronous variations between SSCC and SST at 1-year and 5-year periods, with high association strengths detected in specific regions of the Pacific Ocean, Atlantic Ocean, and Indian Ocean.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
