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Junting Wang, Tianhe Xu, Wei Huang, Liping Zhang, Jianxu Shu, Yangfan Liu and Linyang Li
Underwater sound speed is one of the most significant factors that affects high-accuracy underwater acoustic positioning and navigation. Due to its complex temporal variation, the forecasting of the underwater sound speed field (SSF) becomes a challengin...
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Xiaomin Chang, Tongliang Yan, Guangyu Zuo, Qing Ji and Ming Xue
Sea ice affects the Earth?s energy balance and ocean circulation and is crucial to the global climate system. However, research on the decadal variations in the mean sea-level pressure patterns in recent winters (2001?2020) and the characteristics of sea...
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Yansong Li, Yaning Chen, Yapeng Chen, Weili Duan, Jiayou Wang and Xu Wang
Global changes in drought and wetness and their future trends in arid regions have recently become a major focus of research attention. The Tarim River Basin (TRB) in Xinjiang, China, is among the most climate-sensitive regions in the world. This study u...
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Wen Chen, Kaijun Ren, Yongchui Zhang, Yuyao Liu, Yu Chen, Lina Ma and Silin Chen
The sound speed profile (SSP) is a necessary prerequisite for acoustic field computation and underwater target localization and monitoring. Due to the dynamic nature of the ocean, the reconstruction of SSPs with surface characteristics is a big challenge...
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Lujie Xiong, Yanping Jiao, Fengwei Wang and Shijian Zhou
This study utilizes 27 years of sea level anomaly (SLA) data obtained from satellite altimetry to investigate spatial?temporal variations in the South China Sea (SCS). The local mean decomposition (LMD) method is applied to decompose the sea level data i...
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Hussein A. Mohasseb, Wenbin Shen, Jiashuang Jiao and Qiwen Wu
The Gravity Recovery and Climate Experiment (GRACE) provided valuable insights into variations in Groundwater Storage (GWS). However, the sensitivity of utilizing Global Positioning System (GPS) time series displacement data for detecting changes in GWS ...
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Simão Marques, Lucas Kob, Trevor T. Robinson and Weigang Yao
This work presents a strategy to build reduced-order models suitable for aerodynamic shape optimisation, resulting in a multifidelity optimisation framework. A reduced-order model (ROM) based on a discrete empirical interpolation (DEIM) method is employe...
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Corrie Monteverde, Fernando De Sales and Charles Jones
The Brazilian Amazon provides important hydrological cycle functions, including precipitation regimes that bring water to the people and environment and are critical to moisture recycling and transport, and represents an important variable for climate mo...
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Yusuf Jati Wijaya, Ulung Jantama Wisha and Yukiharu Hisaki
This research aims to examine how the Western Pacific North equatorial countercurrent (NECC) flow reacts to two different forms of El Niño (EN) over a 40-year period. To establish the prevailing modes for each season, we implemented Empirical Orthogonal ...
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Chaoli Tang, Dewei Hao, Yuanyuan Wei, Fangzheng Zhu, Xin Wu and Xiaomin Tian
To comprehensively explore the characteristics of global SST anomalies, a novel time?frequency combination method, based on the COBE data and NCEP/NCAR reanalysis products in the past 100 years, was developed. From the view of the time domain, the global...
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