
- 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.