The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

A method, apparatus, and computer program product provide for crowdsourcing data from a plurality of aircraft systems to determine cloud ceiling information. In the context of a method, the method receives a set of sensor data from a first aircraft system captured during a first event. The method determines, based on the set of sensor data, a cloud ceiling value for a location and a time at which the first set of sensor data was captured. The method also stores the cloud ceiling value in association with a landing region and causes transmission of the cloud ceiling value to one or more additional aircraft systems.

Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.

An information communications system for a construction machine includes a hardware processor. The hardware process is configured to receive construction information from a contractor-side device and receive weather information from a weather server. The hardware processor is configured to generate advisory information based on the received construction information and the received weather information.

Process and system of analysis and management for agricultural production, which includes the stages of loading historical data, measuring and surveying present data, predicting meteorological and hydrological events, generating an agricultural handing protocol, and transmitting the agricultural handling protocol.

Systems and methods for vehicle-based weather detection are disclosed herein. The systems and methods can include selecting one or more vehicles from a plurality of vehicles based on one or more network membership parameters. One or more data acquisition networks can be formed using the one or more selected vehicles. Sensor data can be received from the one or more data acquisition networks. One or more weather conditions can be predicted using the sensor data. One or more environmental elements can be updated based on the predicted weather conditions.

An agricultural apparatus operable in agricultural fields includes one or more digital electronic weather stations affixed to the apparatus and optionally one or more GPS receivers and/or proximity sensors, each coupled to a mobile computing device such as a cab computer. The weather stations transmit data representing wind speed, temperature and/or other weather parameters, as measured on the apparatus, to the mobile computing device. Under control of program logic, the mobile computing device continuously compares real-time, then-current weather data received from the weather stations to programmed or configured threshold values relating to a current agricultural operation. If the weather data indicates weather conditions that exceed one of the thresholds, a warning message may be generated at the mobile computing device to prompt the operator to confirm whether to continue the operation.

A processing apparatus includes a data collection unit and a correlation degree derivation unit. The data collection unit is configured to collect operation mode data indicating an operation mode of a windshield wiper, acquired in one or more vehicles. The correlation degree derivation unit is configured to derive a degree of correlation between the operation mode data and precipitation amount data.

A method, apparatus and computer program product are provided for controlling a functional road object. For example, at least one processor receives road sign attribute data indicating at least one attribute of a road sign and receives weather forecast data indicating a weather forecast of a location in which the road sign is disposed. The road sign includes at least one machinery for mitigating exposure to one or more weather conditions. The at least one processor identifies a state of visibility for the road sign using the road sign attribute data and the weather forecast data and generates a control signal for controlling the at least one machinery using the state of visibility.

Described herein are methods of estimating a chance of precipitation in an area that include identifying one or more vehicles in the area and determining the likelihood of precipitation using telematics data for the one or more vehicles in the area. Also described herein are methods that include receiving telematics data from a plurality of vehicles, wherein the telematics data is associated with a location, analyzing the telematics data to identify vehicle events associated with one or more segments of road, analyzing weather information associated with the one or more segments of road, and determining a correlation between the weather information and the vehicle events.