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首页> 外文期刊>International journal of remote sensing >Water-vapour retrieval from Meteosat 8/SEVIRI observations
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Water-vapour retrieval from Meteosat 8/SEVIRI observations

机译:从Meteosat 8 / SEVIRI观测资料中提取水蒸气

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This paper aims to propose operational algorithms to retrieve the total atmospheric water vapour content (W) using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on-board Meteosat 8. MODTRAN3.5 was used to obtain simulated data in the thermal infrared channels IR10.8 and IR12.0, in order to determine the numerical values of the coefficients of the algorithms. The algorithm proposed for land pixels takes into account the SEVIRI observation geometry and the radiometric temperatures obtained in the split-window channels at two different times during a day and requires a minimum difference of 10 K in terms of temperature between the two situations. Comprehensive error analyses gave rms errors lower than 0.5 gcm~(-2) when observations were taken between the nadir and 50°. The algorithm is validated with in situ values, i.e. radiosondes and W measurements with a CIMEL CE318 sun photometer, both obtained from a field campaign, with rms validation errors of 0.2 and 0.7gcm~(-2), respectively. Additionally, six stations all over the SEVIRI field of view were selected to validate the algorithm from radiosondes data, providing an rms error of 0.4gcm~(-2). Concerning sea pixels, the linear atmosphere-surface temperature relation is adapted to SEVIRI and takes into account the sea-surface temperature, the atmospheric effective temperature, and the radiometric temperature in the IR10.8 channel. The total error obtained from this methodology has a value between 0.8 and 1.1 gem~(-2), and the validation is carried out using radiosonde data from four stations near the sea, providing rms errors lower than 0.6 gcm~(-2).
机译:本文旨在提出使用机载Meteosat 8上的旋转增强型可见光和红外成像仪(SEVIRI)检索总大气水蒸气含量(W)的运算算法。使用MODTRAN3.5来获取红外热通道IR10中的模拟数据.8和IR12.0,以确定算法系数的数值。针对陆地像素提出的算法考虑了SEVIRI观测几何形状和在一天中两次不同时间在分割窗口通道中获得的辐射温度,并且在两种情况之间的温度差要求最小为10K。在最低点和50°之间进行观测时,综合误差分析得出的均方根误差低于0.5 gcm〜(-2)。该算法通过现场值验证,即使用CIMEL CE318太阳光度计进行的探空仪和W测量,均从野战获得,均方根验证误差分别为0.2和0.7gcm〜(-2)。另外,从无线电探空仪数据中选择了六个在SEVIRI视场范围内的站,以验证该算法,均方根误差为0.4gcm〜(-2)。关于海洋像素,线性的大气-表面温度关系适用于SEVIRI,并考虑了海洋表面温度,大气有效温度和IR10.8通道中的辐射温度。通过这种方法获得的总误差的值在0.8和1.1 gem〜(-2)之间,并且使用来自附近四个站点的无线电探空仪数据进行验证,提供的均方根误差低于0.6 gcm〜(-2)。

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