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Ascending–Descending Bias Correction of Microwave Radiation Imager on Board FengYun-3C

机译:FengYun-3C板载微波辐射成像仪的升,降偏差校正

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Microwave radiation imager (MWRI) is regarded as one of the most important microwave payloads on board China FengYun-3C Meteorological Satellite. The instrument suffers from calibration anomalies and exhibits observation-background (O-B) calibration bias difference between the ascending and descending passes at all channels (hereinafter AD bias). The calibration bias difference of MWRI between ascending and descending orbits hampers data assimilation in the numerical weather predictions and reanalysis systems. This paper proposes a physical-based correction algorithm for MWRI calibration, following a brief introduction to the calibration process of the instrument. The relationship between the observed brightness temperatures and the physical temperature of the hot load reflector is established to mitigate the intrusion of the emissive hot reflector at all channels which was not accurately estimated in the previous calibration process. Before-and after-correction comparisons using one-year observations show that the AD bias is effectively reduced, i.e., from similar to 2 K before correction to less than 0.2 K after correction, when rectifying the emissivity of the hot reflector in the calibration equation, whereas the change in the mean values of MWRI radiance is negligible.
机译:微波辐射成像仪(MWRI)被认为是中国风云3C气象卫星上最重要的微波有效载荷之一。仪器存在校准异常,并且在所有通道的上升和下降通道之间都表现出观察本底(O-B)校准偏差(以下称为AD偏差)。上升和下降轨道之间MWRI的标定偏差差异阻碍了数值天气预报和再分析系统中的数据同化。在简要介绍仪器的校准过程之后,本文提出了一种基于物理的MWRI校准校正算法。建立观察到的亮度温度和热负载反射器的物理温度之间的关系,以减轻在所有通道上发射的热反射器的侵入,而这在先前的校准过程中无法准确估算。使用一年的观测值进行的校正前后的比较表明,当校正校准方程中的热反射镜的发射率时,AD偏置可以有效降低,即从校正前的2 K减小到校正后的0.2 K以下。 ,而MWRI辐射平均值的变化可以忽略不计。

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