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On-orbit vicarious calibration of ocean color sensors using an ocean surface reflectance model

机译:使用海洋表面反射率模型对海洋颜色传感器进行在轨替代校准

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Recent advances in global biogeochemical research demonstrate a critical need for long-term ocean colorsatellite data records of consistent high quality. To achieve that quality, spaceborne instruments require on-orbit vicarious calibration, where the integrated instrument and atmospheric correction system is adjusted using in situ normalized water-leaving radiances, such as those collected by the marine optical buoy (MOBY). Unfortunately, well-characterized time-series of in situ data are scarce for many historical satellite missions, in particular, the NASA coastal zone color scanner (CZCS) and the ocean color and temperature scanner (OCTS). Ocean surface reflectance models (ORMs) accurately reproduce spectra observed in clear marine waters, using only chlorophyll a (C_(a)) as input, a measurement for which long-term in situ time series exist. Before recalibrating CZCS and OCTS using modeled radiances, however, we evaluate the approach with the Sea-viewing Wide-Field-of-view Sensor (SeaWiFS). Using annual C_(a) climatologies as input into an ORM, we derive SeaWiFS vicarious gains that differ from the operational MOBY gains by less than +-0.9percent spectrally. In the context of generating decadal C_(a) climate data records, we quantify the downstream effects of using these modeled gains by generating satellite-to-in situ data product validation statistics for comparison with the operational SeaWiFS results. Finally, we apply these methods to the CZCS and OCTS ocean color time series.
机译:全球生物地球化学研究的最新进展表明,对于长期稳定的高质量高质量海洋彩卫星数据记录的迫切需求。为了达到这样的质量,星载仪器需要进行轨道上的替代校准,其中使用现场归一化的留水辐射度(例如由海洋光学浮标(MOBY)收集的放水辐射度)来调整集成的仪器和大气校正系统。不幸的是,许多历史卫星任务,特别是NASA海岸带颜色扫描仪(CZCS)和海洋颜色和温度扫描仪(OCTS),缺乏充分表征的原位数据时间序列。海洋表面反射率模型(ORM)仅使用叶绿素a(C_(a))作为输入即可精确再现在清澈海水中观察到的光谱,这种测量存在长期的原位时间序列。但是,在使用建模的辐射率重新校准CZCS和OCTS之前,我们使用海景宽视野传感器(SeaWiFS)评估该方法。使用每年的C_(a)气候作为ORM的输入,我们得出SeaWiFS替代收益与运营MOBY收益在光谱上的差异小于+ -0.9%。在生成年代际C_(a)气候数据记录的情况下,我们通过生成卫星到原地数据产品验证统计数据以与可操作的SeaWiFS结果进行比较,来量化使用这些建模增益的下游影响。最后,我们将这些方法应用于CZCS和OCTS海洋颜色时间序列。

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