Evaluating localized atmospheric conditions for selected cloud seeding to enhance localized electrical power generation from wind turbines by receiving, at a computer, wind farm data related to a plurality of wind turbines for generating electrical power at a location. The wind farm data collected from sensors at the location. An atmospheric condition in the atmosphere at the location is assessed by the computer, using the wind farm data and the data of the atmospheric conditions. The computer generates a prediction of an impact of the atmospheric condition on the atmospheric wind speed resulting in a wind turbine power output reduction. A determination is made when to initiate cloud seeding to generate rain at the location and reduce the atmospheric condition. Generating a communication to a control system which includes a recommendation to initiate the cloud seeding based on the prediction.

The present disclosure describes various embodiments of systems, apparatuses, and methods of monitoring wind and water properties. For one such weather monitoring system, a weather monitoring station comprises an upper mast section having an instrumentation package, wherein the instrumentation package includes an orientation sensor, communications circuitry, a wind velocity sensor, and a control unit that is configured to at least receive sensor data and transmit communication data via the communications circuitry. The weather monitoring station further includes at least one lower mast section that is coupled to the upper mast section, and an anchoring system that is coupled to the lower mast section, wherein the anchoring system includes at least one subsurface anchor for inserting into a ground surface within a littoral zone of a coastal area. Other systems, apparatuses, and methods are also provided.

The present disclosure describes various embodiments of systems, apparatuses, and methods of monitoring wind and water properties. For one such weather monitoring system, a weather monitoring station comprises an upper mast section having an instrumentation package, wherein the instrumentation package includes an orientation sensor, communications circuitry, a wind velocity sensor, and a control unit that is configured to at least receive sensor data and transmit communication data via the communications circuitry. The weather monitoring station further includes at least one lower mast section that is coupled to the upper mast section, and an anchoring system that is coupled to the lower mast section, wherein the anchoring system includes at least one subsurface anchor for inserting into a ground surface within a littoral zone of a coastal area. Other systems, apparatuses, and methods are also provided.

An atmospheric measurement device includes an atmospheric probe having an aerodynamical profile defined by an outer surface, a plurality of ports extending through the outer surface and an inner surface of the atmospheric probe, and a plurality of pressure sensors. Each pressure sensor of the plurality of pressure sensors positioned within the atmospheric probe and adjacent a respective one of the plurality of ports. Each pressure sensor of the plurality of pressure sensors is configured in sealing engagement with the respective one of the plurality of ports.

An atmospheric measurement device includes an atmospheric probe having an aerodynamical profile defined by an outer surface, a plurality of ports extending through the outer surface and an inner surface of the atmospheric probe, and a plurality of pressure sensors. Each pressure sensor of the plurality of pressure sensors positioned within the atmospheric probe and adjacent a respective one of the plurality of ports. Each pressure sensor of the plurality of pressure sensors is configured in sealing engagement with the respective one of the plurality of ports.

Systems, devices, and methods for generating a first wind model, wherein the first wind model is based on at least one or more key parameters; generating a second wind model, wherein the second wind model is based on a secondary wind measurement device, from at least one of: a second stationary anemometer, an aerial-based data from an onboard anemometer, a control-system derived wind vector during a flight of an unmanned aerial vehicle, and a third-party meteorological data service; adjusting the second wind model based on a comparison of two or more altitudes; and adjusting the one or more key parameters to achieve a solution convergence, where the solution convergence is achieved when at least one of: a determined error between a received wind data and the second wind model is minimized to within an accepted tolerance range and a number of minimization attempts exceeds a threshold.

Systems, devices, and methods for generating a first wind model, wherein the first wind model is based on at least one or more key parameters; generating a second wind model, wherein the second wind model is based on a secondary wind measurement device, from at least one of: a second stationary anemometer, an aerial-based data from an onboard anemometer, a control-system derived wind vector during a flight of an unmanned aerial vehicle, and a third-party meteorological data service; adjusting the second wind model based on a comparison of two or more altitudes; and adjusting the one or more key parameters to achieve a solution convergence, where the solution convergence is achieved when at least one of: a determined error between a received wind data and the second wind model is minimized to within an accepted tolerance range and a number of minimization attempts exceeds a threshold.

According the present invention, air velocity and speed of sound which can be used to estimate air temperature can be measured from a sonic anemometer system attached to an airborne platform. Using multiple sonic emitters and receivers coupled to an assembly attached to an airborne platform where the atmosphere is free to pass through the volume between the acoustic elements, air data products can be estimated from the acoustic transit time between acoustic emitters and receivers for use in an airborne data system. The measurement method has high update rates and is resilient against acoustic noise and icing conditions making it a robust sensing platform for use on aircraft.

According the present invention, air velocity and speed of sound which can be used to estimate air temperature can be measured from a sonic anemometer system attached to an airborne platform. Using multiple sonic emitters and receivers coupled to an assembly attached to an airborne platform where the atmosphere is free to pass through the volume between the acoustic elements, air data products can be estimated from the acoustic transit time between acoustic emitters and receivers for use in an airborne data system. The measurement method has high update rates and is resilient against acoustic noise and icing conditions making it a robust sensing platform for use on aircraft.

A line monitoring system includes a plurality of sensor nodes fixed along at least one line. Each of the sensor nodes includes an instrument that generates sensor data indicating a motion, rotation, position, temperature, or deformation of the line, and includes a transceiver that transmits the sensor data from the instrument. The system also includes a remote computer that indicates the sensor data to a user, where the sensor data from each of the sensor nodes is synchronized.