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On the use of deep convective clouds to calibrate AVHRR data

机译:关于使用深对流云进行校准AVHRR数据

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Remote sensing of cloud and radiation properties from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) satellites requires constant monitoring of the visible sensors. NOAA satellites do not have onboard visible calibration and need to be calibrated vicariously in order to determine the calibration and the degradation rate. Deep convective clouds are extremely bright and cold, are at the tropopause, have nearly a Lambertian reflectance, and provide predictable albedos. The use of deep convective clouds as calibration targets is developed into a calibration technique and applied to NOAA-16 and NOAA-17. The technique computes the relative gain drift over the life-span of the satellite. This technique is validated by comparing the gain drifts derived from inter-calibration of coincident AVHRR and Moderate-Resolution Imaging Spectroradiometer (MODIS) radiances. A ray-matched technique, which uses collocated, coincident, and co-angled pixel satellite radiance parrs is used to inter-calibrate MODIS and AVHRR. The deep convective cloud calibration technique was found to be independent of solar zenith angle, by using well calibrated Visible Infrared Scanner (VIRS) radiances onboard the Tropical Rainfall Measuring Mission (TRMM) satellite, which precesses through all solar zenith angles in 23 days.
机译:遥感来自国家海洋和大气管理(NOAA)先进的非常高分辨率辐射计(AVHRR)卫星的云和辐射性能需要持续监测可见传感器。 NOAA卫星没有船上可见校准,需要以校准校准以确定校准和降解速率。深入对流云极光且寒冷,处于对流层,具有几乎是兰伯特的反射率,并提供可预测的Albedos。使用深对流云作为校准目标的使用是校准技术,并应用于NOAA-16和NOAA-17。该技术计算卫星寿命上的相对增益漂移。通过比较从重合AVHRR和中频分辨率成像分光辐射计(MODIS)互连的校准级别导出的增益漂移来验证该技术。使用搭配,重合和共同角度的像素卫星辐射Parrs的光线匹配技术用于校准MODIS和AVHRR。发现深度对流云校准技术与太阳能天性角度无关,通过使用井校准的可见红外扫描仪(VIRS)船上的热带降雨测量使命(TRMM)卫星,其在23天内通过所有太阳能天性角度进行消耗。

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