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首页> 外文期刊>Journal of atmospheric and oceanic technology >Identifying and Estimating Biases between XBT and Argo Observations Using Satellite Altimetry
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Identifying and Estimating Biases between XBT and Argo Observations Using Satellite Altimetry

机译：使用卫星测高仪识别和估计XBT和Argo观测值之间的偏差

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摘要

A methodology is developed to identify and estimate systematic biases between expendable bathythermograph (XBT) and Argo observations using satellite altimetry. Pseudoclimatological fields of isotherm depth are computed by least squares adjustment of in situ XBT and Argo data to altimetry-derived sea height anomaly (SHA) data. In regions where the correlations between isotherm depth and SHA are high, this method reduces sampling biases in the in situ observations by taking advantage of the high temporal and spatial resolution of satellite observations. Temperature profiles from deep XBTs corrected for a bias identified and adopted during the 1990s are considered in this study. The analysis shows that the pseudoclimatological isotherm depths derived from these corrected XBTs are predominantly deeper than the Argo-derived estimates during the 2000-07 period. The XBT-minus-Argo differences increase with depth consistent with hypothesized problems in the XBT fall-rate equation. The depth-dependent XBT-minus-Argo differences suggest a global positive bias of 3% of the XBT depths. The fact that this 3% error is robust among the different ocean basins provides evidence for changes in the instrumentation, such as changes in the terminal velocity of the XBTs. The value of this error is about the inverse of the correction to the XBT fall-rate equation (FRE) implemented in 1995, suggesting that this correction, while adequate during the 1990s, is no longer appropriate and could be the source of the 3% error. This result suggests that for 2000-07, the XBT dataset can be brought to consistency with Argo by using the original FRE coefficients without the 1995 correction.
机译：开发了一种方法来识别和估计使用卫星测高仪的消耗性水温仪（XBT）与Argo观测值之间的系统偏差。等温线深度的伪气候场是通过将原位XBT和Argo数据最小化为高程得出的海高距平（SHA）数据来计算的。在等温线深度与SHA的相关性较高的区域，该方法通过利用卫星观测的高时空分辨率降低了原位观测的采样偏差。本研究考虑了深XBT的温度剖面，该温度剖面已针对1990年代确定并采用的偏差进行了校正。分析显示，从这些校正后的XBT得出的伪气候等温线深度比2000-07年间Argo得出的估计值要深得多。 XBT-减-Argo差异随深度增加而增加，这与XBT跌落速率方程中的假设问题一致。深度相关的XBT-减-Argo差异表明，全局正偏差为XBT深度的3％。 3％的误差在不同的海盆中都很明显，这一事实为仪器的变化提供了证据，例如XBT的终极速度变化。该误差的值与1995年实施的XBT下降率方程（FRE）的校正值的倒数有关，这表明该校正值虽然在1990年代就足够了，但不再合适，可能是3％的来源。错误。该结果表明，对于2000-07年，无需使用1995年的校正就可以使用原始FRE系数使XBT数据集与Argo保持一致。

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  • 来源
    《Journal of atmospheric and oceanic technology》 |2010年第1期|226-240|共15页
  • 作者

    Pedro N. DiNezio; Gustavo J. Goni;

  • 作者单位

    Cooperative Institute for Marine and Atmospheric Studies, University of Miami 4600 Rickenbacker Causeway, Miami, FL 33149;

    NOAA/Atlantic Oceanographic and Meteorological Laboratory, Miami, Florida;

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