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A preliminary evaluation of the impact of assimilating AVHRR data on sea ice concentration analyses

机译:评估AVHRR数据对海冰浓度分析的影响的初步评估

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In this paper a method to assimilate data from a visual/infrared (VIS/IR) sensor for the purpose of estimating sea ice concentration is investigated. A novel forward model is presented which allows the reflectances and brightness temperatures from the VIS/IR sensor to be assimilated. The VIS/IR data are assimilated in combination with ice concentration retrievals from a passive microwave sensor using 3D variational data assimilation into a 5. km. ×. 5. km grid of sea ice concentrations. Results are compared with those from an experiment which assimilates only the ice concentration retrievals. It is found that the VIS/IR data have a positive impact as ice on the sea ice state through comparison with independent data. The proportion of points correctly identified asice or open water increased in each region studied by including the AVHRR data, with the largest increase being from 0.921 to 0.935. This positive impact is due to the higher resolution of the VIS/IR data as compared with the passive microwave data, that improves the representation of open water in bays and coastal polynyas. There is however, a degradation in the accuracy of the sea ice state in some regions of the analysis from assimilating the VIS/IR data. Possible ways of improving the impact from VIS/IR data are discussed.
机译:在本文中,研究了一种用于从视觉/红外(VIS / IR)传感器吸收数据以估计海冰浓度的方法。提出了一种新颖的正向模型,该模型可以吸收来自VIS / IR传感器的反射率和亮度温度。 VIS / IR数据与从被动微波传感器获取的冰浓度检索结合在一起,使用3D变异数据同化到5. km。 ×。 5.公里网格的海冰浓度。将结果与仅吸收冰浓度的实验结果进行比较。通过与独立数据比较,发现VIS / IR数据对海冰状态具有积极影响,如冰。通过包括AVHRR数据,在每个研究的区域中,正确识别出的水或开放水域中点的比例有所增加,最大的增加是从0.921到0.935。这种积极的影响是由于VIS / IR数据与无源微波数据相比具有更高的分辨率,从而改善了海湾和沿海多阴地区的开阔水域表示。但是,由于吸收了VIS / IR数据,在某些分析区域中海冰状态的精度有所降低。讨论了改善VIS / IR数据影响的可能方法。

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