Apparatus and associated methods relate to a self-contained ocean data and acquisition module (SCODAM) configured to mount to a floating body and having a sensor array, geospatial locating engine, wave measurement engine, communication engine to transmit collected data to a remote device, an energy conversion module adapted to convert ambient energy inputs into electrical energy, and an energy storage module configured to receive the converted electrical energy and to supply operating power to the SCODAM. In an illustrative example, the SCODAM may be configured to generate a transfer function based on motion characterization data obtained in a training mode corresponding to motion of the floating body in response to perturbation in a predetermined sequence and to apply the transfer function data obtained by the wave measurement engine to determine wave motion. Various embodiments may advantageously facilitate use of an existing floating body as an ocean data acquisition system (ODAS).

An improved sensor fish with robust design and enhanced measurement capabilities. This sensor fish contains sensors for acceleration, rotation, magnetic field intensity, pressure, and temperature. A low-power microcontroller collects data from the sensors and stores up to 5 minutes of data on a non-volatile flash memory. A rechargeable battery supplies power to the sensor fish. A recovery system helps locating sensor fish. The package, when ready for use is nearly neutrally buoyant and thus mimics the behavior of an actual fish.

A detection area determining unit (6) determines a detection area where there is a possibility that a tsunami occurs. A current velocity estimating unit (7) estimates, as a sea-surface velocity of current in the detection area, a value obtained by smoothing sea-surface velocity of currents corresponding to cells included in the detection area. A tsunami detecting unit (8) detects occurrence of the tsunami in the detection area, based on the sea-surface velocity of current estimated by the current velocity estimating unit (7).

A comprehensive reconstruction method for long-series sediment data in data-lacking areas includes steps of: collecting hydrological and sediment data of a target river section; calculating sediment data in data-rich years with a flow-sediment content annual relationship curve method; calculating sediment data in only water quality and sediment test years with a correlation method between water quality and sediment data and hydrological station sediment data; calculating sediment data in data-lacking years with an adjacent station same year flow-sediment content relationship curve method; and calculating sediment data in remaining years with a multi-year average flow-sediment content relationship curve method. The method comprehensively adopts four methods to reconstruct the long-series sediment data based on sediment actual observation and characteristics in the data-lacking areas, which can make up for the limitations and deficiencies between the four methods, and the required data is easier to collect than those in the conventional methods.

A watershed modeling and assessment system may input, process, analyze, and store natural resource data in the characterization, analysis, and assessment of watershed and natural river and stream systems and to develop hydraulic models of flow in open channel systems. The system may enable analysis of overall watershed reach information and analysis, survey data, longitudinal profiles, cross-sections, channel material or substrate characterization, images, flow measurements, and Rosgen classification (stream type). The system may also enable development of detailed hydraulic models utilizing equations, techniques, and methods by using measured data, derived data, and estimated data. The system may also enable reports based on each of these individual components.

Systems and methods herein provide for floating sensors. In one embodiment, a system includes a waterproof housing, an electronics assembly mounted within the waterproof housing, and a wing structure hingeably attached to the waterproof housing and operable to float the system on a water surface. The system also includes a solar panel configured on the wing structure to provide power to the electronics assembly.

An improved sensor fish with robust design and enhanced measurement capabilities. This sensor fish contains sensors for acceleration, rotation, magnetic field intensity, pressure, and temperature. A low-power microcontroller collects data from the sensors and stores up to 5 minutes of data on a non-volatile flash memory. A rechargeable battery supplies power to the sensor fish. A recovery system helps locating sensor fish. The package, when ready for use is nearly neutrally buoyant and thus mimics the behavior of an actual fish.

Wakeboat hull control systems and methods are provided to permit the accurate reproduction of a wake behind a wakeboat. The onboard wake control system receives data from a draft measuring system. Incorporation of the data from the draft measuring system permits accurate reproduction of a wake behind the wakeboat after a change in an onboard variable such as the number, weight or position of passengers, the weight or position of cargo and the position of trim tabs or amount/location of ballast.

Devices, systems and methods for real-time wave monitoring are described. One example system for real-time monitoring of wave conditions includes a plurality of buoys, wherein each of the plurality of buoys comprises a sensor array configured to continuously monitor one or more characteristics of the wave conditions, a transceiver configured to transmit, to a remote server, information corresponding to the one or more characteristics of the wave conditions over a wireless communication channel, and a tether that physically couples the buoy to an anchor, wherein the information from each of the plurality of buoys is combined with a user preference to provide a user with a message regarding the wave conditions in response to a user request, and wherein a duration between the user request and transmission of the information from each of the plurality of buoys is less than a predetermined value.

Systems for real-time wave monitoring, which provide real-time updates of wave conditions to users who wish to access the beach for leisure or sporting activities, are described. One example system includes a plurality of buoys and a transceiver. Each of the plurality of buoys includes a sensor array configured to continuously monitor one or more characteristics of the wave conditions, and the transceiver is configured to transmit, to a remote server, information corresponding to the one or more characteristics of the wave conditions over a wireless communication channel. The information from each of the plurality of buoys is combined with a user preference to provide a user with a message regarding the wave conditions in response to a user request, and a duration between the user request and transmission of the information from each of the plurality of buoys is less than a predetermined value.