A method performed by at least one apparatus is inter alia disclosed, said method comprising: obtaining weather model data indicative of location-specific weather information for a first set of locations (26) on a first grid (28); obtaining an area of interest (30) associated to at least one user (32); obtaining and/or determining a second set of locations (34) based on a second grid (36) within said area of interest (30); obtaining measurement data on location-specific weather information of a measurement device associated to said at least one user located at a measurement location (38) within and/or proximate to said area of interest (30); and determining, based on at least said obtained weather model data and said obtained measurement data, location-specific weather information for said second set of locations (34) based on said second grid (36).

A method performed by at least one apparatus is inter alia disclosed, said method comprising: obtaining weather model data indicative of location-specific weather information for a first set of locations (26) on a first grid (28); obtaining an area of interest (30) associated to at least one user (32); obtaining and/or determining a second set of locations (34) based on a second grid (36) within said area of interest (30); obtaining measurement data on location-specific weather information of a measurement device associated to said at least one user located at a measurement location (38) within and/or proximate to said area of interest (30); and determining, based on at least said obtained weather model data and said obtained measurement data, location-specific weather information for said second set of locations (34) based on said second grid (36).

Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.

Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.

Methods and systems for automating processes of receiving, prioritizing, and grouping weather data into a weather event, extent of weather event, and an associated duration for presentation on a displayed mission timeline in an aircraft having a flight plan (FP). The method includes: receiving, by a controller circuit, weather data, aircraft state data, and aircraft system status data; identifying a weather phenomenon that impacts the FP and creating an information structure for the weather phenomenon, the information structure including at least a type, a subtype, a severity, a start of impact and an end of impact. The method also includes presenting a weather event indicator overlaid on the mission timeline to indicate the weather phenomenon. The rendering of the weather event indicator on the mission timeline additionally depicts on the mission timeline: a start, an end, and duration of the weather event.

Methods and systems for automating processes of receiving, prioritizing, and grouping weather data into a weather event, extent of weather event, and an associated duration for presentation on a displayed mission timeline in an aircraft having a flight plan (FP). The method includes: receiving, by a controller circuit, weather data, aircraft state data, and aircraft system status data; identifying a weather phenomenon that impacts the FP and creating an information structure for the weather phenomenon, the information structure including at least a type, a subtype, a severity, a start of impact and an end of impact. The method also includes presenting a weather event indicator overlaid on the mission timeline to indicate the weather phenomenon. The rendering of the weather event indicator on the mission timeline additionally depicts on the mission timeline: a start, an end, and duration of the weather event.

The present application relates to a freezing precipitation detection device (10) comprising at least one first wetness detection means (1) in thermo-conducting contact with the upper (3A) surface of a sloped thermo-conducting sheet (3), at least one second wetness detection means (2) in thermo-conducting contact with the lower (3B) surface of said sloped thermo-conducting sheet (3), at least one surface temperature detection means (4) in thermo-conducting contact with said sloped thermo-conducting sheet (3), at least one processor (5) configured to receive at least one first signal (11;11A,11B,11C) from the first wetness detection means (1) and from the second wetness detection means (2) and from the surface temperature detection means (4), analyzing said first signal (11;11A,11B,11C) and determining the presence or the absence of a freezing precipitation on the surface of the sloped thermo-conducting sheet (3), at least one first apparatus (7) for external power relay receiving at least a second signal (12) from the processor (5), said signal being indicative of a recommended action by said first apparatus (7), said action being either permitting to provide power or not to provide power to at least one third apparatus (8), at least one second apparatus (6) for power supply being connected to said processor (5) and also to said first apparatus (7), wherein said second apparatus (6) for power supply is not actively heating said thermo-conducting sheet (3), said first apparatus (7) permitting to provide power to said third apparatus (8) only when said surface temperature detection means (4) detects a temperature less or equal to a determined threshold and the first and second wetness detection means (1;2) detect the presence of a freezing precipitation. The present invention relates also to uses and a method for detecting a freezing precipitation.

The present application relates to a freezing precipitation detection device (10) comprising at least one first wetness detection means (1) in thermo-conducting contact with the upper (3A) surface of a sloped thermo-conducting sheet (3), at least one second wetness detection means (2) in thermo-conducting contact with the lower (3B) surface of said sloped thermo-conducting sheet (3), at least one surface temperature detection means (4) in thermo-conducting contact with said sloped thermo-conducting sheet (3), at least one processor (5) configured to receive at least one first signal (11;11A,11B,11C) from the first wetness detection means (1) and from the second wetness detection means (2) and from the surface temperature detection means (4), analyzing said first signal (11;11A,11B,11C) and determining the presence or the absence of a freezing precipitation on the surface of the sloped thermo-conducting sheet (3), at least one first apparatus (7) for external power relay receiving at least a second signal (12) from the processor (5), said signal being indicative of a recommended action by said first apparatus (7), said action being either permitting to provide power or not to provide power to at least one third apparatus (8), at least one second apparatus (6) for power supply being connected to said processor (5) and also to said first apparatus (7), wherein said second apparatus (6) for power supply is not actively heating said thermo-conducting sheet (3), said first apparatus (7) permitting to provide power to said third apparatus (8) only when said surface temperature detection means (4) detects a temperature less or equal to a determined threshold and the first and second wetness detection means (1;2) detect the presence of a freezing precipitation. The present invention relates also to uses and a method for detecting a freezing precipitation.

A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.

A method for predicting conditions associated with a coal stock pile is described. The method includes collecting aerial data for a site including one or more coal stock piles. Using the aerial data, the method includes performing localization of the site to identify boundaries of the coal stock piles and extracting multi-spectral features. The method also includes obtaining additional data associated with the coal stock piles from at least one data source and merging the aerial data with the additional data. Using the merged data and the extracted multi-spectral features, the method includes analyzing a status of the coal stock piles by a prediction module to predict at least one of an impending combustion event or a severe condition associated with the coal stock piles. In response to the predicted at least one impending combustion event or severe condition, the method includes implementing a response.