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Validation of Kalpana-1 atmospheric motion vectors against upper air observations and numerical model derived winds

机译：验证Kalpana-1大气运动矢量对高空观测和数值模型推导的风的有效性

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摘要

Validation of Kalpana-1 atmospheric motion vectors (AMVs) against upper air radiosonde (RS) winds and numerical model-derived winds (National Centre for Medium Range Weather Forecasting's (NCMRWF's) T382L64 first guess) during the monsoon season of 2011 was attempted in this study. This was the first attempt to compare Kalpana-1 AMVs with model-derived winds. An AMV validation against RS winds showed that the mean AMV speed is always higher than that of the mean RS speed, except in high-level cloud motion vectors (CMVs). In the southwest monsoon season of 2011, the maximum speed bias in Kalpana-1 AMV with respect to RS winds was observed in the middle level (~5 m s~(-1)). The root mean square vector difference (RMSVD) of Kalpana-1 AMV with respect to the collocated RS winds (~5-7 m s~(-1)) has been found to be in the same range as those of other geostationary satellites, especially over the northern hemisphere and the tropics. The validation of Kalpana-1 AMVs against first guess revealed more erroneous low-level and middle-level AMVs, but the vector difference in the high-level winds was found to be smaller than the same in the low- and middle-level winds. The uncertainty in the empirical genetic algorithm (GA) used to derive the Kalpana-1 AMVs, which does not use model background fields, may be the reason for the high RMSVD of Kalpana-1 AMVs with respect to RS winds and high bias with respect to first guess. The mean observed AMV clearly depicted mon-soonal features such as low-level westerly jet (LLWJ) and tropical easterly jet (TEJ). The speed bias density plots of Kalpana-1 high-level CMVs (400-100 hPa) and water vapour channel winds (WVWs) (above ~500 hPa) with respect to first guess showed that the bias was higher for WVWs; however, the standard deviations of high-level CMVs and WVWs are comparable.
机译：在此尝试尝试针对2011年季风季节的高空无线电探空仪（RS）风和数值模型派生风（国家中型天气预报中心（NCMRWF）T382L64的首次猜测）验证Kalpana-1大气运动矢量（AMV）。研究。这是将Kalpana-1 AMV与模型衍生风进行比较的首次尝试。针对RS风的AMV验证表明，除高级云运动矢量（CMV）之外，平均AMV速度始终高于平均RS速度。在2011年的西南季风季节，在中层（〜5 m s〜（-1））观测到Kalpana-1 AMV相对于RS风的最大速度偏差。已发现Kalpana-1 AMV相对于并置的RS风（〜5-7 ms〜（-1））的均方根矢量差（RMSVD）与其他对地静止卫星处于相同范围内在北半球和热带地区。针对首次猜测对Kalpana-1 AMV进行的验证揭示了更多错误的低层和中层AMV，但发现高层风中的矢量差小于中低层风中的矢量差。用于导出Kalpana-1 AMV的经验遗传算法（GA）中的不确定性（不使用模型背景场）可能是Kalpana-1 AMV相对于RS风具有高RMSVD以及相对于RS偏高的原因。首先猜测。平均观测到的AMV清楚地描绘了季风特征，例如低层西风急流（LLWJ）和热带东风急流（TEJ）。相对于最初的猜测，卡尔帕纳1号高空CMV（400-100 hPa）和水汽通道风（WVWs）（〜500 hPa以上）的速度偏差密度图表明，该偏差对WVWs较高。但是，高级CMV和WVW的标准偏差是可比较的。

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  • 来源
    《International journal of remote sensing》 |2013年第8期|2350-2367|共18页
  • 作者

    M. Das Gupta; S. Indira Rani;

  • 作者单位

    National Centre for Medium Range Weather Forecasting (NCMRWF), A-50, Institutional Area,Sector-62, Noida 201309, India;

    National Centre for Medium Range Weather Forecasting (NCMRWF), A-50, Institutional Area,Sector-62, Noida 201309, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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