Evaluating the Detection of Oceanic Mesoscale Eddies in an Operational Eddy-Resolving Global Forecasting System

被引:0
|
作者
Mo, Huier [1 ,2 ]
Qin, Yinghao [1 ,2 ]
Wan, Liying [1 ,2 ]
Zhang, Yu [1 ,2 ]
Huang, Xing [3 ]
Wang, Yi [1 ,2 ]
Xing, Jianyong [4 ]
Yu, Qinglong [1 ,2 ]
Wu, Xiangyu [1 ,2 ]
机构
[1] Natl Marine Environm Forecasting Ctr NMEFC, Beijing 100081, Peoples R China
[2] Natl Marine Environm Forecasting Ctr NMEFC, Key Lab Marine Hazards Forecasting, Beijing 100081, Peoples R China
[3] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
[4] Minist Nat Resources, Beijing 100812, Peoples R China
关键词
mesoscale eddies; eddy resolving; operational oceanography; sea level anomaly; anticyclones; cyclones; Kuroshio; Gulf Stream; analysis and forecasting system; DATA ASSIMILATION SYSTEM; SEA-ICE MODEL; NORTH PACIFIC; TRANSPORT; VARIABILITY; SENSITIVITY; ALGORITHM; ALTIMETRY; WATERS; HEAT;
D O I
10.3390/jmse11122343
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In this study, a global analysis and forecasting system at 1/12 degrees is built for operational oceanography at the National Marine Environmental Forecasting Center (NMEFC) by using the NEMO ocean model (NMEFC-NEMO). First, statistical analysis methods are designed to evaluate the performance of sea level anomaly (SLA) forecasting. The results indicate that the NMEFC-NEMO performs well in SLA forecasting when compared with the Mercator-PSY4, Mercator-PSY3, UK-FOAM, CONCEPTS-GIOPS and Bluelink-OceanMAPS forecasting systems. The respective root-mean-squared errors (RMSEs) of NMEFC-NEMO (Mercator PSY4) are 0.0654 m (0.0663 m) and 0.0797 m (0.0767 m) for the lead times of 1 and 7 days. The anomaly correlation coefficients between forecasting and observations exceed 0.8 for the NMEFC-NEMO and Mercator-PSY4 systems, suggesting that the accuracy of SLA predicted using NMEFC-NEMO is comparable to Mercator PSY4 and superior to other forecasting systems. Moreover, the global spatial distribution of oceanic eddies are effectively represented in NMEFC-NEMO when compared to that in the HYCOM reanalysis, and the detection rate reaches more than 90% relative to HYCOM reanalysis. Regarding the strong eddies in the Kuroshio region, the NMEFC-NEMO reproduces the characteristic for anticyclonic and cyclonic eddies merging and splitting alternatively. As for the detective eddies in the Gulf Stream, NMEFC-NEMO effectively represents the spatial distribution of mesoscale eddies from different seasons. The amplitude of oceanic eddies, including both cyclones and anticyclones, were much stronger on 1 July 2019 than 1 January 2019. Overall, NMEFC-NEMO has a superior performance in SLA forecasting and effectively represents the oceanic mesoscale eddies for operational oceanography.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Evaluation of a near-global eddy-resolving ocean model
    Oke, P. R.
    Griffin, D. A.
    Schiller, A.
    Matear, R. J.
    Fiedler, R.
    Mansbridge, J.
    Lenton, A.
    Cahill, M.
    Chamberlain, M. A.
    Ridgway, K.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2013, 6 (03) : 591 - 615
  • [22] Evaluating eddy mixing coefficients from eddy-resolving ocean models: A case study
    Treguier, AM
    JOURNAL OF MARINE RESEARCH, 1999, 57 (01) : 89 - 108
  • [23] Toward Low-Level Turbulence Forecasting at Eddy-Resolving Scales
    Munoz-Esparza, Domingo
    Sharman, Robert
    Sauer, Jeremy
    Kosovic, Branko
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (16) : 8655 - 8664
  • [24] Oceanic mesoscale eddies as crucial drivers of global marine heatwaves
    Ce Bian
    Zhao Jing
    Hong Wang
    Lixin Wu
    Zhaohui Chen
    Bolan Gan
    Haiyuan Yang
    Nature Communications, 14
  • [25] Isolating the role of mesoscale eddies in mixing of a passive tracer in an eddy resolving model
    Booth, James
    Kamenkovich, Igor
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2008, 113 (C5)
  • [26] Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies
    Santana, Oliverio J.
    Hernandez-Sosa, Daniel
    Martz, Jeffrey
    Smith, Ryan N.
    REMOTE SENSING, 2020, 12 (16)
  • [27] Automatic detection of oceanic mesoscale eddies in the South China Sea
    夏琼
    申辉
    ChineseJournalofOceanologyandLimnology, 2015, 33 (05) : 1334 - 1348
  • [28] Automatic detection of oceanic mesoscale eddies in the South China Sea
    Xia Qiong
    Shen Hui
    CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2015, 33 (05): : 1334 - 1348
  • [29] Automatic detection of oceanic mesoscale eddies in the South China Sea
    Qiong Xia
    Hui Shen
    Chinese Journal of Oceanology and Limnology, 2015, 33 : 1334 - 1348
  • [30] Meridional transport of salt in the global ocean from an eddy-resolving model
    Treguier, A. M.
    Deshayes, J.
    Le Sommer, J.
    Lique, C.
    Madec, G.
    Penduff, T.
    Molines, J. -M.
    Barnier, B.
    Bourdalle-Badie, R.
    Talandier, C.
    OCEAN SCIENCE, 2014, 10 (02) : 243 - 255