Exploring temporal and spatial SST patterns and their impact in the Arabian Sea: Insights from the regional ocean modeling system

被引:3
|
作者
Kushwaha, Prabha [1 ]
Pandey, Vivek Kumar [1 ]
Das, Bijan Kumar [2 ]
Singh, Yaduvendra [1 ]
Srivastav, Siddharth [1 ]
机构
[1] Univ Allahabad, Inst Interdisciplinary Studies, K Banerjee Ctr Atmospher & Ocean Studies, Nehru Sci Ctr, Prayagraj 211002, India
[2] Midnapore Coll Autonomous, Dept Math, Midnapore 721101, India
关键词
Arabian sea; Sea surface temperature; Seasonal variability; ROMS; ISM; SURFACE TEMPERATURE; INDIAN-OCEAN; VARIABILITY; LAYER; BAY; MONSOON; BENGAL; OSCILLATIONS; HEAT; AIR;
D O I
10.1016/j.csr.2024.105224
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
The Regional Ocean Modeling System (ROMS) is integrated across the Arabian Sea (AS) from 1992 to 2021 and covers 33 degrees E to 80 degrees E and 5 degrees N to 32 degrees N at high horizontal resolutions of 1/4 degrees(similar to 25 km). The study demonstrates that the variability is controlled by a seasonal high-resolution setup, with superior performance for various seasons during the months of December-January-February (DJF), March-April-May (MAM), June-July-August-September (JJAS) and October-November (ON). The Sea Surface Temperature (SST) anomalies in the JJAS season werestudied. SST dominates the seasonal variability of the Indian summer monsoon (ISM). Our results show that the ROMS can simulate seasonal variability and its effects on the upper ocean properties over the AS. In addition, the impact of monthly variation is controlled. In recreating the spatio-temporal distribution of surface as well as subsurface hydrographic parameters such as surface and subsurface temperature, the simulation results are reasonable like observation and reanalysis.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Optimal Assimilation of Daytime SST Retrievals from SEVIRI in a Regional Ocean Prediction System
    Storto, Andrea
    Oddo, Paolo
    REMOTE SENSING, 2019, 11 (23)
  • [22] Extracting spatial information from temporal odor patterns: insights from insects
    Szyszka, Paul
    Emonet, Thierry
    Edwards, Timothy L.
    CURRENT OPINION IN INSECT SCIENCE, 2023, 59
  • [23] From Systems to Patterns and Back Exploring the spatial potential of dynamic patterns in the area of regional planning
    Grisiute, Ayda
    Fricker, Pia
    ECAADE 2020: ANTHROPOLOGIC - ARCHITECTURE AND FABRICATION IN THE COGNITIVE AGE, VOL 2, 2020, : 95 - 104
  • [24] A Study on the Impact of Vertical Grid Parameter Perturbations in the Regional Ocean Modeling System
    Wang, Lei
    Zhang, Feng
    Zheng, Chongwei
    Zhong, Yaozhao
    Lu, Tianxiu
    Shang, Shaoping
    Pu, Siyu
    Xia, Guodong
    Chen, Huafei
    Leng, Wei
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 12 (09)
  • [25] Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic
    Yu, Lixing
    Jin, Wenqiang
    Li, Ming
    Li, Pan
    2019 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (DYSPAN), 2019, : 157 - 158
  • [26] Simulation of Lake Victoria Circulation Patterns Using the Regional Ocean Modeling System (ROMS)
    Nyamweya, Chrispine
    Desjardins, Christopher
    Sigurdsson, Sven
    Tomasson, Tumi
    Taabu-Munyaho, Anthony
    Sitoki, Lewis
    Stefansson, Gunnar
    PLOS ONE, 2016, 11 (03):
  • [27] Exploring the Spatial-Temporal Patterns, Drivers, and Response Strategies of Desertification in the Mu Us Desert from Multiple Regional Perspectives
    Li, Jiaying
    Li, Yu
    Wang, Xuhui
    Ma, Zhongxu
    SUSTAINABILITY, 2024, 16 (21)
  • [28] 4DVAR Data Assimilation with the Regional Ocean Modeling System (ROMS): Impact on the Water Mass Distributions in the Yellow Sea
    Joon-Ho Lee
    Taekyun Kim
    Ig-Chan Pang
    Jae-Hong Moon
    Ocean Science Journal, 2018, 53 : 165 - 178
  • [29] 4DVAR Data Assimilation with the Regional Ocean Modeling System (ROMS): Impact on the Water Mass Distributions in the Yellow Sea
    Lee, Joon-Ho
    Kim, Taekyun
    Pang, Ig-Chan
    Moon, Jae-Hong
    OCEAN SCIENCE JOURNAL, 2018, 53 (02) : 165 - 178
  • [30] Extracting spatio-temporal patterns from ocean fishery data sets in the East China Sea using spatial cluster analysis
    Du, YY
    Zhou, CH
    Shao, QQ
    Su, FZ
    Wang, S
    PROCEEDINGS OF THE THIRD WORLD FISHERIES CONGRESS: FEEDING THE WORLD WITH FISH IN THE NEXT MILLENIUM-THE BALANCE BETWEEN PRODUCTION AND ENVIRONMENT, 2003, 38 : 433 - 440