Mr. Hao Li Profile

Hao Li

at Second Institute of Oceanography SOA

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Proceedings Article | 19 October 2016 Paper

Assessment of satellite retrieval algorithms for chlorophyll-a concentration under high solar zenith angle

Hao Li, Xianqiang He, Yan Bai, Xiaoyan Chen, Fang Gong, Qiankun Zhu, Zifeng Hu

Proceedings Volume 9999, 99990U (2016) https://doi.org/10.1117/12.2240164

KEYWORDS: Remote sensing, Algorithm development, In situ remote sensing, Satellites, Water, Reflectivity, Ocean optics, Avalanche photodetectors, MODIS, Data storage

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Numerous empirical algorithms have been operationally used to retrieve the global ocean chlorophyll-a concentration (Chla) from ocean color satellite data, e.g., the OC4V4 algorithm for SeaWiFS and OC3M for MODIS. However, the algorithms have been established and validated based on the in situ data mainly measured under low to moderate solar zenith angle (<70°). Currently, with the development of the geostationary satellite ocean color remote sensing which observes from early morning to later afternoon, it is necessary to know whether the empirical Chla algorithms could be applied to high solar zenith angle. In this study, the performances of seven widely-used Chla algorithms under high solar zenith angles, i.e., OC2, OC3M, OC3V, OC4V4, CLARK, OCI, and YOC algorithms, were evaluated using the NOMAD global in situ ocean color dataset. The results showed that the performances of all the seven algorithms decreased significantly under high solar zenith angles as compared to those under low-moderate solar zenith angles. For instance, for the OC4V4 algorithm, the relative percent difference (RPD) and root-mean-square error (RMSE) were 13.78% and 1.66 μg/l for the whole dataset, and 3.95% and 1.49 μg/l for the solar zenith angles ranged from 30° to 40°, respectively. However, the RPD and RMSE increased to 30.45% and 6.10μg/l for solar zenith angle larger than 70°.

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