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GOES-R先进基线成像仪:针对沙漠校准场地评估的NPP可见光红外成像辐射计套件的光谱响应函数和辐射偏差。

GOES-R Advanced Baseline Imager: spectral response functions and radiometric biases with the NPP Visible Infrared Imaging Radiometer Suite evaluated for desert calibration sites.

作者信息

Pearlman Aaron, Pogorzala David, Cao Changyong

出版信息

Appl Opt. 2013 Nov 1;52(31):7660-8. doi: 10.1364/AO.52.007660.

DOI:10.1364/AO.52.007660
PMID:24216671
Abstract

The Advanced Baseline Imager (ABI), which will be launched in late 2015 on the National Oceanic and Atmospheric Administration's Geostationary Operational Environmental Satellite R-series satellite, will be evaluated in terms of its data quality postlaunch through comparisons with other satellite sensors such as the recently launched Visible Infrared Imaging Radiometer Suite (VIIRS) aboard the Suomi National Polar-orbiting Partnership satellite. The ABI has completed much of its prelaunch characterization and its developers have generated and released its channel spectral response functions (response versus wavelength). Using these responses and constraining a radiative transfer model with ground reflectance, aerosol, and water vapor measurements, we simulate observed top of atmosphere (TOA) reflectances for analogous visible and near infrared channels of the VIIRS and ABI sensors at the Sonoran Desert and White Sands National Monument sites and calculate the radiometric biases and their uncertainties. We also calculate sensor TOA reflectances using aircraft hyperspectral data from the Airborne Visible/Infrared Imaging Spectrometer to validate the uncertainties in several of the ABI and VIIRS channels and discuss the potential for validating the others. Once on-orbit, calibration scientists can use these biases to ensure ABI data quality and consistency to support the numerical weather prediction community and other data users. They can also use the results for ABI or VIIRS anomaly detection and resolution.

摘要

先进基线成像仪(ABI)将于2015年末搭载在国家海洋和大气管理局的地球静止业务环境卫星R系列卫星上发射。发射后,将通过与其他卫星传感器(如最近发射的搭载在苏米国家极地轨道伙伴关系卫星上的可见红外成像辐射计组(VIIRS))进行比较,来评估其数据质量。ABI已完成了大部分发射前的特性描述,其开发者已生成并发布了其通道光谱响应函数(响应与波长的关系)。利用这些响应,并结合地面反射率、气溶胶和水汽测量数据对辐射传输模型进行约束,我们模拟了VIIRS和ABI传感器在索诺兰沙漠和白沙国家纪念区类似可见和近红外通道的大气顶(TOA)反射率观测值,并计算了辐射偏差及其不确定性。我们还利用机载可见/红外成像光谱仪的飞机高光谱数据计算了传感器的TOA反射率,以验证ABI和VIIRS几个通道的不确定性,并讨论验证其他通道的可能性。一旦进入轨道,校准科学家可以利用这些偏差来确保ABI数据质量和一致性,以支持数值天气预报界和其他数据用户。他们还可以将结果用于ABI或VIIRS的异常检测和解决。

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