Surface Circulation in the Solomon Sea Derived from Lagrangian Drifter Observations

被引:31
作者
Hristova, Hristina G. [1 ,2 ]
Kessler, William S. [1 ]
机构
[1] NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USA
[2] Univ Washington, Joint Inst Study Atmosphere & Ocean, Seattle, WA 98195 USA
关键词
WESTERN EQUATORIAL PACIFIC; PAPUA-NEW-GUINEA; CORAL SEA; OCEAN; VARIABILITY; DECOMPOSITION; CURRENTS; CLIMATE;
D O I
10.1175/JPO-D-11-099.1
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Velocity measurements from satellite-tracked surface drifters collected between 1994 and 2010 are used to map the surface circulation in the Solomon Sea, the last passageway for waters of subtropical origin flowing northward toward the equator, where they replenish the Pacific warm pool. Pseudo-Eulerian statistics of the drifter observations show a strong seasonal cycle in both the mean circulation and the eddy kinetic energy in the region. The circulation is characterized by a strong northward flow from June to November (the season of strong southeasterly trade winds over the Solomon Sea) and a mostly southward flow with increased variability from December to May (when the winds over the sea are weak). The seasonal velocity signal has the largest magnitude narrowly along the double western boundary formed by the eastern coastlines of New Guinea and the Solomon Islands, suggesting that direct wind driving with its much larger spatial scales is not the main influence. In addition, the surface circulation exhibits substantial interannual variability of magnitude comparable to that of the seasonal cycle with velocity and temperature anomalies consistent with changes in the western boundary current acting to compensate for the discharge and recharge of the Pacific warm pool during ENSO.
引用
收藏
页码:448 / 458
页数:11
相关论文
共 50 条
  • [31] Northwest Atlantic Surface Circulation from Multi-Satellite Observations
    Ohashi, Kyoko
    Han, Guoqi
    Chen, Nancy
    Helbig, Jim
    ATMOSPHERE-OCEAN, 2013, 51 (01) : 35 - 49
  • [32] Surface circulation off the Andaman Islands from HF radar observations
    Jena, B. K.
    Arunraj, K. S.
    Suseentharan, V
    Ramanamurthy, M., V
    CURRENT SCIENCE, 2020, 118 (11): : 1739 - 1745
  • [33] Arctic Sea Level and Surface Circulation Response to the Arctic Oscillation
    Armitage, Thomas W. K.
    Bacon, Sheldon
    Kwok, Ron
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (13) : 6576 - 6584
  • [34] Mean Dynamic Topography of the Black Sea, computed from altimetry, drifter measurements and hydrology data
    Kubryakov, A. A.
    Stanichny, S. V.
    OCEAN SCIENCE, 2011, 7 (06) : 745 - 753
  • [35] Surface diurnal warming in the East China Sea derived from satellite remote sensing
    Song Dan
    Duan Zhigang
    Zhai Fangguo
    He Qiqi
    JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2018, 36 (03) : 620 - 629
  • [36] The mid-depth circulation of the Nordic Seas derived from profiling float observations
    Voet, G.
    Quadfasel, D.
    Mork, K. A.
    Soiland, H.
    TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2010, 62 (04) : 516 - 529
  • [37] On the surface circulation of the Marmara Sea as deduced from drifters
    Gerin, Riccardo
    Poulain, Pierre-Marie
    Besiktepe, Sukru Turan
    Zanasca, Pietro
    TURKISH JOURNAL OF EARTH SCIENCES, 2013, 22 (06) : 919 - 930
  • [38] Variability of surface velocity in the Kuroshio Current and adjacent waters derived from Argos drifter buoys and satellite altimeter data
    Ma Chao
    Wu Dexing
    Lin Xiaopei
    CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2009, 27 (02) : 208 - 217
  • [39] Eulerian and Lagrangian Correspondence of High-Frequency Radar and Surface Drifter Data: Effects of Radar Resolution and Flow Components
    Rypina, I. I.
    Kirincich, A. R.
    Limeburner, R.
    Udovydchenkov, I. A.
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2014, 31 (04) : 945 - 966
  • [40] Mean dynamic topography and surface circulation in the western Labrador Sea and Newfoundland offshore: satellite observations and ocean modelling
    Han, Guoqi
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (19) : 5381 - 5391