An electric aircraft with flight trajectory planning. The electric aircraft includes a sensor. The sensor is coupled to the electric aircraft. The sensor is configured to detect a plurality of weather measurements. The electric aircraft includes a processor. The processor is communicatively connected to the sensor. The processor is configured to receive, from the sensor, a weather measurement of the plurality of weather measurements. The processor is configured to receive, from a user, a destination datum and a desired altitude datum. The processor is configured to determine an optimal trajectory of the electric aircraft as a function of the destination datum, weather datum, and altitude datum.

An electric aircraft with flight trajectory planning. The electric aircraft includes a sensor. The sensor is coupled to the electric aircraft. The sensor is configured to detect a plurality of weather measurements. The electric aircraft includes a processor. The processor is communicatively connected to the sensor. The processor is configured to receive, from the sensor, a weather measurement of the plurality of weather measurements. The processor is configured to receive, from a user, a destination datum and a desired altitude datum. The processor is configured to determine an optimal trajectory of the electric aircraft as a function of the destination datum, weather datum, and altitude datum.

Movement of photovoltaic panels is measured using an array of low-cost devices. Accelerometers are mounted on photovoltaic panels across a site to measure wind speed and direction. Time stamped data from the devices is transmitted to a central computing device which calculates a rolling, lagging wind speed and direction. Measured movement of the photovoltaic panels is used to determine when to place photovoltaic panels in a protective stow mode to reduce damage during a wind event.

Movement of photovoltaic panels is measured using an array of low-cost devices. Accelerometers are mounted on photovoltaic panels across a site to measure wind speed and direction. Time stamped data from the devices is transmitted to a central computing device which calculates a rolling, lagging wind speed and direction. Measured movement of the photovoltaic panels is used to determine when to place photovoltaic panels in a protective stow mode to reduce damage during a wind event.

This disclosure generally relates to a light electric vehicle. More specifically, this disclosure describes how to limit or restrict access to a light electric vehicle based on determined or anticipated environmental conditions. The disclosure also describes how to change one or more capabilities or operating parameters of the light electric vehicle based on determined and/or anticipated environmental conditions.

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.

Portable electronic devices are provided. A portable electronic device includes a weather sensor and a digital display. Moreover, the portable electronic device includes a vibrating motor and/or a buzzer. The digital display is configured to display a target level of liquids to be consumed by a user of the portable electronic device, in response to detection by the weather sensor of a weather condition.

A method for providing an enhanced estimate of reference barometric pressure. The method uses multiple, dissimilar pressure references, such as in airport weather stations, personal weather stations, and wireless terminals such as smartphones, in order to provide the enhanced estimate of reference barometric pressure. The method generates an enhanced estimate of reference barometric pressure based on a first estimate of reference barometric pressure from a first pressure reference network made up of airport weather stations, for example. The method also uses a second estimate of reference barometric pressure from a second pressure reference network made of up personal weather stations, for example, and a third estimate of reference barometric pressure, also from the second network. The first, second, and third estimates of reference barometric pressure are combined such that both measurement accuracy and timeliness are improved in the resulting, enhanced estimate.

A method for providing an enhanced estimate of reference barometric pressure. The method uses multiple, dissimilar pressure references, such as in airport weather stations, personal weather stations, and wireless terminals such as smartphones, in order to provide the enhanced estimate of reference barometric pressure. The method generates an enhanced estimate of reference barometric pressure based on a first estimate of reference barometric pressure from a first pressure reference network made up of airport weather stations, for example. The method also uses a second estimate of reference barometric pressure from a second pressure reference network made of up personal weather stations, for example, and a third estimate of reference barometric pressure, also from the second network. The first, second, and third estimates of reference barometric pressure are combined such that both measurement accuracy and timeliness are improved in the resulting, enhanced estimate.