利用深对流云目标对地球静止反射太阳波段成像仪与校准良好的成像仪进行互标定的研究进展

C. Haney, D. Doelling, R. Bhatt, B. Scarino, A. Gopalan
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引用次数: 0

摘要

CERES项目利用地球静止源衍生的宽带测量来推断CERES瞬时测量之间的区域日通量,以估计日平均通量。必须将地球静止(GEO)成像仪辐射校准到相同的参考点,以确保连续GEO域的云特性和通量的时空一致性。为了将所有GEO可见光成像仪放置在相同的辐射尺度上,CERES项目使用多种独立的方法对Aqua-MODIS GEO成像仪进行了相互校准。主要的互定标方法依赖于全天空热带海洋场景(ATO)上同步的、射线匹配的GEO和MODIS辐射对。另一种射线匹配方法是利用深对流云(DCC)的可见光谱均匀性和近朗伯反射率。通过与ATO射线匹配(ATORM)方法在0.65 μm GEO和MODIS波段的标定对比,证明了DCC射线匹配(DCC- rm)方法的成功。现在,许多最近发射的GEO成像仪都有多个反射太阳波段通道,DCCRM算法正在进行修改,以便对这些通道进行相互校准,特别是对SWIR波段。考虑到冰粒子的吸收是波长的函数,DCC在SWIR波段上的光谱均匀性并不均匀。需要制定新的谱带调整因子(SBAF)战略。DCC-RM也非常适合于互校准历史近宽带可见光GEO成像仪。DCC在可见光谱上是平坦的,这减少了两个射线匹配传感器之间的SBAF不确定性。由于ISCCP B1U格式数据集的像素和时间分辨率较粗,在历史GEO成像仪上应用DCC-RM技术具有挑战性。以MODIS为基准,将ATO-RM和DCC-RM两种定标方法应用于himawai -8的多个可见光波段。对于波长小于1 μm和Terra-MODIS 0.65-μm通道,Aqua-MODIS和Himawari-8的校准差异小于0.4%。其他信道组合需要进一步检查以获得一致的ATO和DCC增益结果。以NOAA-14 AVHRR作为标定基准,对ISCCP B1U格式的GOES-8进行ATO-RM和DCC-RM标定。GOES-8 ATO和DCC校准增益差在0.15%以内。ATO和DCC增益之间的协议为两种方法提供了信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in utilizing deep convective cloud targets to inter-calibrate geostationary reflective solar band imagers with well calibrated imagers
The CERES project utilizes geostationary-derived broadband measurements to infer the regional diurnal flux in between CERES instantaneous measurements to estimate the daily-averaged flux. The geostationary (GEO) imager radiances must be calibrated to the same reference to ensure spatial and temporal consistency of cloud properties and fluxes across the contiguous GEO domains. In order to place all of the GEO visible imagers on the same radiometric scale, the CERES project inter-calibrates the GEO imagers with Aqua-MODIS using multiple independent approaches. The primary inter-calibration approach relies on coincident, ray-matched GEO and MODIS radiance pairs over all-sky tropical ocean scenes (ATO). Another ray-matching approach was recently developed to take advantage of the visible spectral uniformity and near-Lambertian reflectance of deep convective clouds (DCC). The success of the DCC raymatching (DCC-RM) approach has been demonstrated by comparing the calibration with the ATO ray-matching (ATORM) approach for the 0.65-μm GEO and MODIS bands. Now that many of the recently launched GEO imagers have multiple reflective solar band channels, the DCCRM algorithm is being modified to inter-calibrate those channels as well, especially for the SWIR bands. The spectral uniformity of the DCC over the SWIR bands is not uniform, given that the ice particle absorption is a function of wavelength. New Spectral Band Adjustment Factor (SBAF) strategies will need to be developed. DCC-RM is also wellsuited to inter-calibrate historical near-broadband visible GEO imagers. DCC are spectrally flat across the visible spectrum, which reduces the SBAF uncertainty between two ray-matched sensors. Applying the DCC-RM technique on historical GEO imagers is challenging due to the coarser pixel and temporal resolution of the ISCCP B1U formatted dataset. The ATO-RM and DCC-RM calibration methods were applied to multiple visible bands on Himawari-8 using MODIS as the calibration reference. The Aqua-MODIS and Himawari-8 calibration difference was less than 0.4% for wavelengths less than 1 µm and for the Terra-MODIS 0.65-μm channel. Other channel combinations would need further examination to obtain consistent ATO and DCC gain results. The ATO-RM and DCC-RM calibration methods were also applied to GOES-8 in the ISCCP B1U format with NOAA-14 AVHRR as the calibration reference. The GOES-8 ATO and DCC calibration gain difference was within 0.15%. The agreement between ATO and DCC gains provides confidence in both methods.
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