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Assessment of intercalibration methods for satellite microwave humidity sounders

机译:卫星微波湿度探测器相互校准方法的评估

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Three methods for intercalibrating humidity sounding channels are compared to assess their merits and demerits. The methods use the following: (1) natural targets (Antarctica and tropical oceans), (2) zonal average brightness temperatures, and (3) simultaneous nadir overpasses (SNOs). Advanced Microwave Sounding Unit-B instruments onboard the polar-orbiting NOAA 15 and NOAA 16 satellites are used as examples. Antarctica is shown to be useful for identifying some of the instrument problems but less promising for intercalibrating humidity sounders due to the large diurnal variations there. Owing to smaller diurnal cycles over tropical oceans, these are found to be a good target for estimating intersatellite biases. Estimated biases are more resistant to diurnal differences when data from ascending and descending passes are combined. Biases estimated from zonal-averaged brightness temperatures show large seasonal and latitude dependence which could have resulted from diurnal cycle aliasing and scene-radiance dependence of the biases. This method may not be the best for channels with significant surface contributions. We have also tested the impact of clouds on the estimated biases and found that it is not significant, at least for tropical ocean estimates. Biases estimated from SNOs are the least influenced by diurnal cycle aliasing and cloud impacts. However, SNOs cover only relatively small part of the dynamic range of observed brightness temperatures. Key PointsThree methods for inter-calibration are assessedDiurnal cycle aliasing is a main issueRadiance-dependent bias limits usage of SNOs
机译:比较了三种相互校准湿度探测通道的方法,以评估其优缺点。该方法使用以下内容:(1)自然目标(南极洲和热带海洋),(2)区域平均亮度温度,以及(3)同时的最低天桥(SNO)。以极地轨道NOAA 15和NOAA 16卫星上的高级B级微波探测仪器为例。事实证明,南极洲对于识别某些仪器问题很有用,但由于那里的昼夜变化大,因此无法相互校准湿度探测器。由于热带海洋的昼夜周期较小,因此它们被认为是估算卫星间偏差的良好目标。当组合来自上升和下降通道的数据时,估计的偏差更能抵抗昼夜差异。从纬向平均亮度温度估计的偏差显示出很大的季节和纬度依赖性,这可能是由于昼夜周期混叠和偏差对场景辐射的依赖性所致。对于具有明显表面贡献的通道,此方法可能不是最佳方法。我们还测试了云对估计偏差的影响,发现它至少在热带海洋估计中并不显着。从SNO估计的偏差受昼夜周期混叠和云影响的影响最小。但是,SNO仅覆盖观察到的亮度温度动态范围的一小部分。要点评估了三种相互校准的方法昼夜周期混叠是一个主要问题辐射依赖性偏倚限制了SNO的使用

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