Subsurface observations in coastal and shelf seas remain insufficient compared to profiling measurements in open oceans. To address this gap, we have developed a system that involves coastal fishermen in conducting in-situ measurements. By assimilating this observation data in real-time, we can provide valuable feedback on ocean predictions to support their fishing activities. We adapted the traditional full-scale conductivity-temperature-depth (CTD) instrument into a more conventional model dedicated to small-scale fisheries. This simple and smart CTD device allows Bluetooth communication with Android devices. Although its accuracy and pressure resistance were reduced to make it affordable, it remains effective for our data assimilation purpose. Along with acoustic current data, the accuracy of coastal ocean prediction models, particularly for velocity components, can be significantly increased. Using the intuitive and user-friendly forecasting app, cooperating fishermen have been able to reduce fuel usage, working hours, and gear damages, thereby improving profitability and working conditions. This app has become an indispensable operational tool for fishermen in the Kyushu region, motivating them to actively participate in coastal ocean observations.

中文翻译：

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九州智能渔业 （QSF） 团队建立的积极数据循环


与开阔海域的剖面测量相比，沿海和大陆架海的地下观测仍然不足。为了解决这一差距，我们开发了一个系统，让沿海渔民参与现场测量。通过实时吸收这些观测数据，我们可以提供有关海洋预测的宝贵反馈，以支持他们的捕鱼活动。我们将传统的全尺寸电导率-温度-深度 （CTD） 仪器改造成专用于小规模渔业的更传统的型号。这款简单而智能的 CTD 设备允许与 Android 设备进行蓝牙通信。尽管它的准确性和耐压性有所降低以使其价格合理，但它对于我们的数据同化目的仍然有效。除了声学流数据外，沿海海洋预测模型的准确性，特别是速度分量的准确性，可以显著提高。使用直观且用户友好的预报应用程序，合作的渔民已经能够减少燃料使用、工作时间和渔具损坏，从而提高盈利能力和工作条件。该应用程序已成为九州地区渔民不可或缺的操作工具，激励他们积极参与沿海海洋观测。