A Water Quality Monitor (WQM) equipped with a range of oceanographic sensors was deployed from April 2017 to October 2017 in the North Western (NW) Baltic Sea. We assessed here if the data from a moored chlorophyll-a fluorometer can be used to improve satellite validation in coastal waters. Calibrated mooring data and ship-based chlorophyll-a concentrations from 2017 and 2018 were matched with OLCI (Ocean and Land Colour Instrument) data to validate the C2RCC (Case-2 Regional Coast Colour) processor, a locally-adapted version of C2RCC (LA-C2RCC), as well as the POLYMER processor. Using additional mooring data resulted in a substantial increase in paired observations compared to using ship-based data alone (C2RCC; N = 41–63, LA-C2RCC; N = 37–59, POLYMER; N = 108–166). However, the addition of mooring data only reduced the error and bias of the LA-C2RCC (MNB: from 24 % to 22 %, RMSE: from 60 % to 57 %, APD: both 47 %). In contrast, the statistical errors increased with the addition of mooring data both for C2RCC (MNB: −26 % to −33 %, RMSE: 50 %–51 %, APD 84 %–96 %) and for POLYMER (MNB: 26 %–36 %, RMSE: 79 % to 79 %, APD 64 %–64 %). The results indicate that the locally-adapted version of the C2RCC should be used for the area of investigation. These results are most likely also related to the effect of the System Vicarious Calibration (SVC). As opposed to C2RCC, the locally-adapted version had not been vicariously calibrated. The results indicate that SVC is not beneficial for Baltic Sea data and that more work needs to be done to improve SVC for Baltic Sea waters or for other waters with high CDOM absorption. In order to improve the validation capabilities of moored fluorometers in general, they should be strategically placed in waters with representative ranges of chl-a concentrations for the area of research in question.

从2017年4月至2017年10月，在西北波罗的海部署了配备了一系列海洋传感器的水质监测器（WQM）。在这里，我们评估，如果从停泊叶绿素的数据一个荧光计可用于改善沿海水域卫星验证。校准的系泊数据和船用叶绿素a将2017年和2018年的浓度与OLCI（海洋和陆地颜色仪器）数据进行匹配，以验证C2RCC（Case-2地区海岸颜色）处理器，本地适应的C2RCC（LA-C2RCC）版本以及POLYMER处理器。与单独使用基于船的数据相比，使用其他的系泊数据导致配对观测值显着增加（C2RCC； N = 41–63，LA-C2RCC； N = 37–59，聚合物； N = 108–166）。但是，增加系泊数据只会减少LA-C2RCC的误差和偏差（MNB：从24％降至22％，RMSE：从60％降至57％，APD：均为47％）。相反，C2RCC（MNB：-26％至-33％，RMSE：50％-51％，APD 84％-96％）和聚合物（MNB：26％）的系泊数据都增加了统计误差–36％，RMSE：79％至79％，APD 64％–64％）。结果表明，应将C2RCC的本地适应版本用于调查领域。这些结果很可能也与系统替代校准（SVC）的效果有关。与C2RCC相对，本地适应版本没有经过严格的校准。结果表明，SVC对波罗的海数据不利，需要做更多的工作来改善波罗的海水域或其他CDOM吸收率高的水域的SVC。通常，为了提高系泊荧光计的验证能力，应策略性地将它们放置在具有代表性的chl- 本地适应版本尚未经过严格校准。结果表明，SVC对波罗的海数据不利，需要做更多的工作来改善波罗的海水域或其他CDOM吸收率高的水域的SVC。一般而言，为了提高系泊荧光计的验证能力，应策略性地将它们放置在具有代表性chl- 本地适应版本尚未经过严格校准。结果表明，SVC对波罗的海数据不利，需要做更多的工作来改善波罗的海水域或其他CDOM吸收率高的水域的SVC。一般而言，为了提高系泊荧光计的验证能力，应策略性地将它们放置在具有代表性chl-一个浓度的问题研究领域。