- It provides an automatic estimation of tidal datums. In particular, it automatically estimates the mean lower low water (MLLW) and logs and publishes tide levels relative to MLLW.
- It uses two ultrasonic sensors to improve the detection of false outlier readings that are a particular issue during strong snowstorms.
- It is solar-powered.
- It includes the following meteorological sensor readings that are relevant to tidal surge forecasting: wind speed and direction, atmospheric pressure, and water temperature. It also includes air temperature and humidity sensors.
- It is based on the Sentient Things IoT Node that enables the use of multiple communication modes including Cellular, WiFi, Ethernet, and Lora.
- It is capable of being modified to use other tide level sensors including radar and submersible depth pressure gauges.
According to this case study, “the distance between tide stations with real-time measurements is, on average, over 100 miles.” There can be a significant difference in tide levels over short distances. Variations are very noticeable in bays and inlets. Strong wind can also result in levels being measured lower or higher than predicted. Local real-time measurements are imperative to determine the current water depth for navigation or current flood levels. The average distance between tide stations is 100 miles, which means there are many locations along the over 12,000 mile long US coastline without the benefit of real-time measurements for navigation or flood alerting. This project describes the design of a tide and meteorological station for Popponesset Bay on Cape Cod. It was designed to provide real time water level data for shallow water navigation and coastal flooding