A method and system for downloading aeronautical data using an automatic dependent surveillance-broadcast (ADS-B) is provided. The method comprises creating a first data sequence structure that includes a receive time for each of one or more received ADS-B messages; creating a second data sequence structure that includes a packet time for each of one or more received aeronautical data packets that are without position information; mapping the received aeronautical data packets respectively to the ADS-B messages by comparing the receive time for each of the received ADS-B messages with the packet time for each of the received aeronautical data packets to produce a correlation between the ADS-B messages and the aeronautical data packets; and deriving position information for each of the received aeronautical data packets from each correlation between an ADS-B message and an aeronautical data packet.

A method and system for downloading aeronautical data using an automatic dependent surveillance-broadcast (ADS-B) is provided. The method comprises creating a first data sequence structure that includes a receive time for each of one or more received ADS-B messages; creating a second data sequence structure that includes a packet time for each of one or more received aeronautical data packets that are without position information; mapping the received aeronautical data packets respectively to the ADS-B messages by comparing the receive time for each of the received ADS-B messages with the packet time for each of the received aeronautical data packets to produce a correlation between the ADS-B messages and the aeronautical data packets; and deriving position information for each of the received aeronautical data packets from each correlation between an ADS-B message and an aeronautical data packet.

A method and system for downloading aeronautical data using an automatic dependent surveillance-broadcast (ADS-B) is provided. The method comprises creating a first data sequence structure that includes a receive time for each of one or more received ADS-B messages; creating a second data sequence structure that includes a packet time for each of one or more received aeronautical data packets that are without position information; mapping the received aeronautical data packets respectively to the ADS-B messages by comparing the receive time for each of the received ADS-B messages with the packet time for each of the received aeronautical data packets to produce a correlation between the ADS-B messages and the aeronautical data packets; and deriving position information for each of the received aeronautical data packets from each correlation between an ADS-B message and an aeronautical data packet.

A method and system for downloading aeronautical data using an automatic dependent surveillance-broadcast (ADS-B) is provided. The method comprises creating a first data sequence structure that includes a receive time for each of one or more received ADS-B messages; creating a second data sequence structure that includes a packet time for each of one or more received aeronautical data packets that are without position information; mapping the received aeronautical data packets respectively to the ADS-B messages by comparing the receive time for each of the received ADS-B messages with the packet time for each of the received aeronautical data packets to produce a correlation between the ADS-B messages and the aeronautical data packets; and deriving position information for each of the received aeronautical data packets from each correlation between an ADS-B message and an aeronautical data packet.

The present disclosure relates to an apparatus embodied in order to correct efficiently changing of measured temperature value in a temperature sensor according to influence of irradiance. A radiosonde related an exemplary embodiment of the present disclosure includes a first temperature sensor; a second temperature sensor having higher emission ratio than the first temperature sensor; and a measuring unit in order to calculate corrected temperature value, but the radiosonde and the third temperature sensor are installed in a chamber before flying of the radiosonde, a first temperature change detected by the first temperature sensor by output light in a sunlight simulator and a second temperature change detected by the second temperature sensor are induces, compensation factors may be derived using the first temperature change, the second temperature change, and temperature value measured by the third temperature sensor.

A method for detecting atmospheric icing potential comprises emitting, by a Doppler lidar (light detection and ranging) entity, electromagnetic radiation to the atmosphere and receiving radiation backscattered from the aerosol, such as a cloud, present in the atmosphere. From the received backscattered radiation, an indication of the icing potential at a number of distances, on the basis of the comparison and an indication of the temperature at the one or more distances, is determined.

A method for detecting atmospheric icing potential comprises emitting, by a Doppler lidar (light detection and ranging) entity, electromagnetic radiation to the atmosphere and receiving radiation backscattered from the aerosol, such as a cloud, present in the atmosphere. From the received backscattered radiation, an indication of the icing potential at a number of distances, on the basis of the comparison and an indication of the temperature at the one or more distances, is determined.

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 at least one weather monitoring station and at least one processor 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 the at least one weather monitoring station 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 at least one processor is 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.

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 at least one weather monitoring station and at least one processor 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 the at least one weather monitoring station 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 at least one processor is 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.

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.