A flexible material handling system for can handle varied loads and placements including operation in varying weather conditions, and integrates safety systems to tolerate pedestrians and manual vehicles in an operating environment. An autonomous vehicle is operable along a vehicle traversal path within a predetermined set of environmental conditions. A GPS base station is operatively in communication with the autonomous vehicle. A supervisor/orchestrator is operatively in communication with the autonomous vehicle and the GPS base station and is operative to coordinate movement of the autonomous vehicle along the vehicle traversal path and assign one or more tasks for the autonomous vehicle to accomplish.

A system and method for outputting analysis regarding weather and/or environmental conditions at a venue for an event by determining correlations between the results of past events and historical weather and/or environmental conditions, determining current and/or forecasted weather and/or environmental conditions (for example, using a dense mesonet of sensors in and around an event/venue), and generating analysis based on the current and/or forecasted weather and/or environmental conditions and the correlations between the results of past events and the historical weather and/or environmental conditions.

An advection fog forecasting system and a method thereof are based on the recognition that wireless signal communication is subject to weather conditions. The system and the method involve collecting radio signals in a forecasting region that is likely to be shrouded in fog. Radio signals influenced by fog can show fog attenuation, and different levels of attenuation can be represented by different values of a radio signal strength indicator RSSI. With the variation curve of the radio signal strength indicator RSSI and weather variables, such as the humidity, the wind speed and the rainfall in the forecasting region, forecasting advection fog can be achieved.

A remote location monitoring system, for example, a home monitoring or weather monitoring system may include one or more sensors and/or receivers at a first location such as a residence or business to be monitored. The sensors and receivers may communicate with a remote central server via a gateway device and the detection data received from the sensors and receivers may be displayed via display circuitry coupled to a processor of the gateway device. The sensors, receivers, and gateway device may be controlled by users locally or remotely via the server. Users may register to receive remote notifications of weather events and other home monitoring events. Users may also access remotely sensors and receivers to configure alerts, notifications, and automatic responses for the devices and integrated appliances at the first location.

An example method for processing wind field data includes generating wind field base data using the preliminary data and one or more empirical equations based on climatology. The wind field base data includes multiple data sets each associated with a different time-point in a first set of time-points. The method also includes performing spatial interpolation and temporal interpolation over the wind field base data to generate a sequence of two-dimensional wind field representations each associated with a different time-point in a second set of time-points, and visualizing the sequence of two-dimensional wind field representations.

An automated global weather notification system is provided. The automated global weather notification system is capable of obtaining observational weather data, including data form of forecast grids, and applying business rules and conditional variables to that data. Based on the business rules and conditional variables, notifications are generated. Relevant users are identified in particular geographic areas and notifications are delivered to those users via, for example, SMS, MMS, email, or other methods of electronic information delivery.

Disclosed is a method for determining an atmospheric radiative forcing difference by optimising or preventing contrail formation caused by an aircraft. The method comprises receiving one or more weather parameters to determine contrail forecast data; receiving one or more flight parameters associated with aircraft to determine flight data; determining tentative atmospheric radiative forcing quantity, along tentative flight trajectory, based on contrail forecast data and flight data; altering one or more flight parameters to determine optimised flight trajectory having optimum atmospheric radiative forcing quantity, wherein optimised flight trajectory is validated using imagery data; and determining an atmospheric radiative forcing difference to evaluate offset value for at least one forcing parameter associated with atmospheric radiative forcing difference. Disclosed also is an apparatus for determining atmospheric radiative forcing caused by aircraft by optimising or preventing contrail formation. Further, disclosed is computer program product to carry out aforementioned method.

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.

In a method for determining, in particular predicting, at least one meteorological quantity for describing a current and/or past and/or future weather situation using a data processing device, (a) first meteorological parameters obtained from first measurements are assigned to grid points of a first grid. In the method, (b) at least one setting parameter, which can be entered via an interface, in particular a user interface, is received, and (c) the at least one meteorological quantity is determined from the first meteorological parameters, dependent on the at least one setting parameter, by applying a first algorithm, wherein preferably, the determined meteorological quantity is output at a user interface and/or is transmitted by an electronic message sending device.

Artificial intelligence-based 3D printing for waste disposal management includes collecting, by one or more processors, data corresponding to a waste disposal site from a plurality of data acquisition sources. Based on the collected data, determine properties of waste disposed in a waste disposal container located in the waste disposal site and a waste distribution pattern associated with waste accumulation in the waste disposal site. Weather data corresponding to a geographic location of the waste disposal site is obtained by the one or more processors, and based on the weather data and the waste distribution pattern a vulnerability index is calculated for the waste disposal site. In response to the vulnerability index exceeding a predefined threshold, a request is sent to a 3D printer for printing a protective cover for the waste disposal container according to the waste distribution pattern for preventing waste spreading outside the waste disposal container.