A system for data aggregation and distribution comprises a context builder that receives a data request from a consumer, and a producers locator that communicates with producers. A producers filter receives a list of producers and selects producers capable of providing data relevant to context information. A data requests formatter receives the context information, and sends the data request to the selected producers. A data responses validator validates data responses from producers, and a data responses processor processes validated data responses. A data predictor receives processed data responses and context information, and generates data prediction information. A data fusion module receives processed data responses, context information, data prediction information, and data history. The data fusion module combines processed data responses with data prediction information to generate a consolidated data response for the consumer. The data fusion module also considers data prediction information upon receiving a request for predicted data when real-time data is unavailable.

A distributed weather system includes a storage, a plurality of wireless weather stations, a server, and an interface. Each of the plurality of wireless weather stations is associated with a user and has a battery, a location sensor generating location information, an anemometer generating apparent wind speed, a transmitter transmitting the location information with the apparent wind speed to a network at periodic intervals, and a receiver receiving control commands that include a length of the periodic intervals. The server receives the location information with the apparent wind speed and stores them in the storage. The interface is accessible by a mobile computer, and receives the control commands from a user and sends them to the receiver of the wireless weather station associated with the user. The interface displays a true wind speed for each of the plurality of wireless weather stations, which is calculated using the apparent wind speed, the location information, and historical location information.

Systems and methods are for determining and/or forecasting local atmospheric stability and/or turbulence. This information can be used to inform decisions regarding crop spraying, such as whether the atmospheric conditions are sufficiently turbulent to avoid airborne spray fines drifting in an undesirable manner. For example, a spray drift hazard alert system can include a data logger. The data logger is configured to: receive local meteorological observation data from one or more sensors at a location, analyze the data to determine a local vertical turbulence characteristic indicative of a current level of vertical turbulence at the location, compare the vertical turbulence characteristic with a predetermined threshold of the vertical turbulence characteristic, and transmit information to a client device indicating whether local meteorological conditions are suitable for crop spraying based on the comparison between the vertical turbulence characteristic and the predetermined threshold.

Systems and methods for converting live weather data to a weather index for offsetting weather risk. Weather data source systems generate one or more weather data streams that include weather forecast model and observations data. A data distribution system receives a weather index request, identifies at least one instrument and at least one location associated with the request. Weather risk indication data is extracted among the weather data streams associated with the identified location based on predefined parameters associated with the identified instrument. The extracted data is converted into a set of weather index values corresponding to the location, based on a predetermined algorithm associated with the identified instrument. A weather index presentation package is generated that includes the set of weather index values for distribution to at least one user device. The weather index presentation package being distributed is updated concurrent with changes to weather risk indication data.

A system for providing weather conditions to a target vehicle includes a plurality of sensors mounted within the target vehicle adapted to measure weather conditions at the target vehicle and a computer processor adapted to collect data of weather conditions at the target vehicle from the plurality of sensors mounted within the target vehicle, collect data of measured weather conditions of at least one known location remote from the target vehicle, and build a temporal-spatial effectiveness model adapted to estimate weather conditions of at least one unknown location remote from the target vehicle using the data of weather conditions at the target vehicle and the data of measured weather conditions of the at least one known location remote from the target vehicle.

Systems and methods for converting live weather data to a weather index for offsetting weather risk. Weather data source systems generate one or more weather data streams that include weather forecast model and observations data. A data distribution system receives a weather index request, identifies at least one instrument and at least one location associated with the request. Weather risk indication data is extracted among the weather data streams associated with the identified location based on predefined parameters associated with the identified instrument. The extracted data is converted into a set of weather index values corresponding to the location, based on a predetermined algorithm associated with the identified instrument. A weather index presentation package is generated that includes the set of weather index values for distribution to at least one user device. The weather index presentation package being distributed is updated concurrent with changes to weather risk indication data.

A processor may receive weather event data. The processor may determine, utilizing an artificial intelligence model mapping weather events having weather impacts with a higher likelihood of occurrence proximate to each other in the latent space, a weather impact associated with a weather event. In some embodiments, the artificial intelligence model may be trained using historical weather event data and historical weather impact data associated with the historical weather event data. The processor may output the weather impact associated with the weather event to a user.

Systems and methods are provided herein for supplying localized weather information to a user. This may be accomplished by a system receiving a request to generate a weather report for a location. The system may identify weather information sources within a threshold distance of the location, wherein one or more of the weather information sources is a mobile weather information source. The device may generate a weather report for the location based on the weather information received from the weather information sources.

A method for acquiring road data onboard a vehicle, the road data associated with a segment of road is provided. The method obtains, via vehicle onboard sensors, sensor data associated with current weather conditions, current road conditions, and a physical road state; determines whether the current weather conditions indicate existence of severe weather, whether the current road conditions indicate potential slip, and whether the physical road state indicates one or more road anomalies; generates a road data result, based on existence of severe weather, potential slip, and one or more road anomalies; and transmits the road data result, via a vehicle onboard telematics unit.

A head up display arrangement for a motor vehicle includes a global positioning system module emitting geographic location coordinates associated with the motor vehicle. A database includes lane marking location data stored in association with corresponding geographic location coordinates. An electronic processing device is communicatively coupled to the global positioning system module and to the database. The electronic processing device receives the geographic location coordinates and retrieves from the database lane marking location data stored in association with the received geographic location coordinates. The electronic processing device transmits the retrieved lane marking location data. A head up display is communicatively coupled to the electronic processing device and receives the transmitted lane marking location data. The head up display displays virtual lane markings dependent upon the received lane marking location data.