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.

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.

An atmospheric turbulence detection method includes: providing a temperature difference measuring device including a thermocouple element and two sensing probes, wherein the thermocouple element has two opposite end portions, the two sensing probes are respectively disposed at the two end portions, and there is an ambient distance between the two end portions; placing the temperature difference measuring device in an atmospheric environment to generate an electromotive force by a temperature difference between the two end portions; analyzing the electromotive force to convert the electromotive force into an ambient temperature difference of an environment where the two end portions of the thermocouple element are located, an atmospheric refractive index structure constant is calculated according to the ambient temperature difference and the ambient distance, and a value of the atmospheric refractive index structure constant corresponds to an ambient disturbance of an atmospheric turbulence. An atmospheric turbulence detection device is also provided.

An atmospheric turbulence detection method includes: providing a temperature difference measuring device including a thermocouple element and two sensing probes, wherein the thermocouple element has two opposite end portions, the two sensing probes are respectively disposed at the two end portions, and there is an ambient distance between the two end portions; placing the temperature difference measuring device in an atmospheric environment to generate an electromotive force by a temperature difference between the two end portions; analyzing the electromotive force to convert the electromotive force into an ambient temperature difference of an environment where the two end portions of the thermocouple element are located, an atmospheric refractive index structure constant is calculated according to the ambient temperature difference and the ambient distance, and a value of the atmospheric refractive index structure constant corresponds to an ambient disturbance of an atmospheric turbulence. An atmospheric turbulence detection device is also provided.

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.

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.

Systems and methods for determining a risk of damage to a crop on a field are described. In an example embodiment, a method for limiting such damage to a crop includes receiving, for multiple hours, weather data identifying temperature values and humidity values for a geographic location of the field, determining, for the multiple hours, that a temperature value is within a first range of values and a humidity value is within a second range of values and, identifying each of the multiple hours as a risk hour for a disease. The method also includes computing a risk value for the field based on the identified risk hours, determining that the risk value is above a threshold, and determining that the crop on the field is at risk for the disease. The method then includes spraying the crop on the field with a damage mitigating chemical specific to the disease.

Infrared cloud detector systems and methods for detecting cloud cover conditions.