Use of AERONET-OC for validation of SGLI/GCOM-C products in Ariake Sea, Japan
Use of AERONET-OC for validation of SGLI/GCOM-C products in Ariake Sea, Japan
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DOI：
10.1007/s10872-022-00642-9
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发表时间：
2022-05
影响因子：
2.3
通讯作者：
J. Ishizaka;Mengmeng Yang;N. Fujii;Toshiya Katano;M. Hori;Takayuki Mine;Katsuya Saitoh;H. Murakami
中科院分区：
文献类型：
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作者：
J. Ishizaka;Mengmeng Yang;N. Fujii;Toshiya Katano;M. Hori;Takayuki Mine;Katsuya Saitoh;H. Murakami
2018年4月，AErosol RObotic NETwork Ocean Color（AERONET-OC）站已在佐贺大学有明观测塔设立，用于验证第二代全球成像仪（SGLI）/全球变化观测任务-气候（GCOM-C）。 AERONET-OC 观测到的遥感反射率 (Rrs) 用于验证 SGLI。 SGLI 第 1 版数据低估了短波 Rrs，且 Rrs (380) 和 Rrs(412) 大多为负值，而第 2 版数据则改进了估计，将 Rrs(412) 修正为正值。表明吸收气溶胶对SGLI大气校正的影响，导致Rrs的低估。改善短波 Rrs 的简单线性校正方法也适用于特定的版本 1 数据。 SGLI的水体成分、叶绿素a(Chl-a)、总悬浮物(TSM)和有色溶解有机物(CDOM)也通过船舶观测数据得到验证。尽管版本 2 低估了 Chl-a 和 CDOM，但随着 Rrs 的修正，所有成分均从版本 1 改进为版本 2。还使用原位数据和 SGLI Rrs 数据检查了简单回归算法，这表明可能需要更复杂的算法。将源自 AERONET-OC 和 SGLI 数据的水成分时间序列与河流流量和春潮-小潮周期进行了比较。结果表明，尽管算法并未完全分离水成分的估计，但观察到了 Chl-aafter 河流流量的增加以及 Chl-a 和 TSM 与春潮-小潮周期的相互作用等行为。
A station of AErosol RObotic NETwork Ocean Color (AERONET-OC) has been set on the Ariake Observation Tower of Saga University on April, 2018, for verification of the Second generation Global Imager (SGLI)/Global Change Observation Mission-Climate (GCOM-C). Remote sensing reflectance (Rrs) observed by the AERONET-OC was used for verification of SGLI. SGLI Version 1 data underestimated the shortwave Rrs and Rrs (380) and Rrs(412) were mostly negative, while the estimation was improved by Version 2 with the correction of Rrs(412) to be positive. It was indicated that absorptive aerosol was influenced to SGLI atmospheric correction and caused the underestimation of Rrs. Simple linear correction method to improve shortwave Rrs also worked well for specifically Version 1 data. Water constituents, chlorophyll-a(Chl-a), total suspended matter (TSM) and colored dissolved organic matter (CDOM) of the SGLI were also verified by the ship observation data. All constituents were improved from Version 1 to 2 with the correction of Rrs, although Version 2 underestimated Chl-aand CDOM. Simple regression algorithms were also examined with in situ as well as SGLI Rrs data, and it indicated that more sophisticated algorithms may be required. Time series of water constituents derived from AERONET-OC and SGLI data were compared to river discharge and spring–neap tidal cycle. The results indicated that the behavior, such as the increase of Chl-aafter river discharge and interaction of Chl-aand TSM with the spring–neap tidal cycles were observed, although estimations of water constituents were not completely separated by the algorithms.