Wind stress measurements from the QuikSCAT-SeaWinds scatterometer tandem mission and the impact on an ocean model

被引:11
|
作者
Lee, Tong [1 ]
Wang, Ou [1 ]
Tang, Wenqing [1 ]
Liu, W. Timothy [1 ]
机构
[1] CALTECH, Jet Prop Lab, NASA, Pasadena, CA 91109 USA
基金
美国国家航空航天局;
关键词
D O I
10.1029/2008JC004855
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
We examine diurnal signals captured by the QuikSCAT-SeaWinds scatterometer tandem mission (April-October 2003) and their impact on ocean model simulation. The diurnal variability captured by twice-daily scatterometer wind from the tandem mission is substantially larger than that estimated by the National Centers for Environmental Prediction (NCEP) reanalysis product (even with a 6-hourly interval in the latter). Consequently, the impact of diurnal wind on model sea surface temperature (SST) is significantly larger with scatterometer than with NCEP winds because of stronger vertical mixing caused by the twice-daily scatterometer wind. This is consistent with previous studies that high-frequency wind at the ocean's inertial frequencies enhances vertical mixing through resonant inertial oscillations. The weak vertical mixing associated with daily scatterometer winds causes warm bias of SST (relative to that resulting from twice-daily scatterometer wind) and larger deviation from observations. The warm bias reaches several degrees Celsius in midlatitude oceans during summertime and can accumulate with time. Heat flux correction that attempts to account for the feedback of SST would propagate the error in wind and vertical mixing to heat flux without correcting the error source. Because of this error compensation, caution is needed in the interpretation of SST budget resulting from ocean models and data assimilation outputs based on wind products that do not adequately resolve diurnal variability. Our findings highlight the need to resolve diurnal wind in future scatterometer missions. Our study assumes that wind differences between the two scatterometers are primarily due to the sampling of diurnal cycle at different times. However, potential bias between the two needs further investigations.
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页数:14
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共 30 条
  • [1] SeaWinds-1B: a combination of ku-band scatterometer and wind radiometer for global ocean wind measurements
    Tsai, WY
    Graf, JE
    Winn, C
    Yueh, S
    [J]. SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES, 1997, 3221 : 346 - 356
  • [2] Overview of QuikSCAT mission - a quick deployment of a high resolution, wide swath scanning scatterometer for ocean wind measurement
    Graf, JE
    Tsai, WY
    Jones, L
    [J]. PROCEEDINGS IEEE SOUTHEASTCON '98: ENGINEERING FOR A NEW ERA, 1998, : 314 - 317
  • [3] A Global Climatology of Surface Wind and Wind Stress Fields from Eight Years of QuikSCAT Scatterometer Data
    Risien, Craig M.
    Chelton, Dudley B.
    [J]. JOURNAL OF PHYSICAL OCEANOGRAPHY, 2008, 38 (11) : 2379 - 2413
  • [4] Impact of Ships and Ocean Fronts on Coastal Sea Surface Wind Measurements From the Advanced Scatterometer
    Xu, Qing
    Li, Yizhi
    Li, Xiaofeng
    Zhang, Zenghai
    Cao, Yuenan
    Cheng, Yongcun
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (07) : 2162 - 2169
  • [5] Estimating Wind Stress at the Ocean Surface From Scatterometer Observations
    Ali, M. M.
    Bhat, G. S.
    Long, David G.
    Bharadwaj, S.
    Bourassa, Mark A.
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (05) : 1129 - 1132
  • [6] Power density of ocean surface wind from international scatterometer tandem missions
    Liu, W. T.
    Tang, W.
    Xie, X.
    Navalgund, R. R.
    Xu, K.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2008, 29 (21) : 6109 - 6116
  • [7] Measurements of the Effect of Rain-induced Sea Surface Roughness on the QuikSCAT Scatterometer Radar Cross Section and Wind Stress
    Weissman, David E.
    Bourassa, Mark A.
    [J]. OCEANS 2008, VOLS 1-4, 2008, : 2056 - +
  • [8] MODEL-BASED ESTIMATION OF WIND FIELDS OVER THE OCEAN FROM WIND SCATTEROMETER MEASUREMENTS, .1. DEVELOPMENT OF THE WIND-FIELD MODEL
    LONG, DG
    MENDEL, JM
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (03): : 349 - 360
  • [9] Wind stress measurements from the open ocean
    Yelland, M
    Taylor, PK
    [J]. JOURNAL OF PHYSICAL OCEANOGRAPHY, 1996, 26 (04) : 541 - 558
  • [10] MODEL-BASED ESTIMATION OF WIND FIELDS OVER THE OCEAN FROM WIND SCATTEROMETER MEASUREMENTS, .2. MODEL PARAMETER-ESTIMATION
    LONG, DG
    MENDEL, JM
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (03): : 361 - 373