Systems and methods for detecting inclement weather in the vicinity of an aircraft engine are described herein. At least a first engine parameter and a second engine parameter are obtained, each engine parameter varies with changing weather conditions. An arithmetic value is determined as a function of at least the first engine parameter and the second engine parameter. The arithmetic value varies with changing weather conditions. A rate of change of the arithmetic value is determined. Inclement weather is detected when the rate of change exceeds a threshold.

Systems and methods for forecasting renewable energy generation using holistic weather and system analysis are provided. Derate factors of energy sources can be considered, along with regional weather variability, site specific weather, and a cross-view of the sky from ground based and/or geo-stationary satellite imaging. The forecast can include short-term forecasting and long-term forecasting.

Systems and methods for forecasting renewable energy generation using holistic weather and system analysis are provided. Derate factors of energy sources can be considered, along with regional weather variability, site specific weather, and a cross-view of the sky from ground based and/or geo-stationary satellite imaging. The forecast can include short-term forecasting and long-term forecasting.

The disclosure relates to a device for providing a ballistic solution. In one embodiment, the disclosure relates to a device for storing one or more ballistic calculators for providing a ballistic solution. In one embodiment, the device communicates with one or more laser rangefinders.

The disclosure relates to a device for providing a ballistic solution. In one embodiment, the disclosure relates to a device for storing one or more ballistic calculators for providing a ballistic solution. In one embodiment, the device communicates with one or more laser rangefinders.

[Object] To provide a lightning threat information-providing apparatus, a lightning threat information-providing method, and a program that are capable of providing a user with accurate information regarding a lightning threat.

[Solving Means] A lightning threat information-providing apparatus 1 includes: an input unit 10 that inputs observation parameters 11 regarding weather observation data, prediction parameters 12 regarding weather prediction data, and case data 13 regarding a case that occurs in association with lightning occurrence; an intermediate parameter calculation unit that calculates, on the basis of the input observation parameters 11 and prediction parameters 12, an intermediate parameter 27 which is a parameter regarding physical quantity associated with the lightning occurrence and cannot be directly obtained from the observation data or the prediction data; and an arithmetic control unit 20 that estimates a lightning threat on the basis of the observation parameters 11, the prediction parameters 12, the case data 13, and the intermediate parameter 27.

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.

A method can include receiving sensor data from at least three different types of sensor situated in the geographic area, the types of sensors including an air temperature sensor, relative humidity sensor, dewpoint sensor, soil moisture sensor, soil temperature sensor, average wind speed sensor, maximum wind speed sensor, and a rainfall sensor, producing a feature vector including a time series of values corresponding to the received sensor data, and using a neural network, estimating the physical characteristics, the physical characteristics including at least one of (a) a leaf wetness, (b) a solar radiation, (c) an evapotranspiration, (d) a future soil moisture, and (e) a future soil temperature.

A method can include receiving sensor data from at least three different types of sensor situated in the geographic area, the types of sensors including an air temperature sensor, relative humidity sensor, dewpoint sensor, soil moisture sensor, soil temperature sensor, average wind speed sensor, maximum wind speed sensor, and a rainfall sensor, producing a feature vector including a time series of values corresponding to the received sensor data, and using a neural network, estimating the physical characteristics, the physical characteristics including at least one of (a) a leaf wetness, (b) a solar radiation, (c) an evapotranspiration, (d) a future soil moisture, and (e) a future soil temperature.