A first device may receive data inputs from data sources corresponding to raw weather, non-weather, and/or environmental data. The first device may generate targeted alerts based on the data inputs and transmit the targeted alerts to a second device associated with a user.

Train a machine learning model, using an image-based knowledge graph of tropical cyclone data, for implementing a surface field modeling architecture that produces images of at least surface wind fields and surface rainfall fields from images of at least tropical cyclone tracks and pressure intensities. Generate model images of a modeled surface wind field and a modeled surface rainfall field by providing images of at least a user-generated tropical cyclone track and pressure intensity to the trained machine learning model.

Train a machine learning model, using an image-based knowledge graph of tropical cyclone data, for implementing a surface field modeling architecture that produces images of at least surface wind fields and surface rainfall fields from images of at least tropical cyclone tracks and pressure intensities. Generate model images of a modeled surface wind field and a modeled surface rainfall field by providing images of at least a user-generated tropical cyclone track and pressure intensity to the trained machine learning model.

A method, computer system, and a computer program product for weather station placement design are provided. Weather data measured at weather stations, current location data regarding current locations of the respective weather stations, and weather forecast data generated by a weather forecast model are received. Forecast performance by the weather forecast model is determined by comparing the weather data to the weather forecast data and so that first weather stations where the weather forecast model had best forecast performance are identified. A weather forecast performance map is generated based on the identified first weather stations. Fractals are generated. The fractals are iteratively matched to the weather forecast performance map to identify a first fractal that most closely matches a layout of the current locations of the first weather stations. A first fractal map that includes the first fractal overlaid on the weather forecast performance map is presented.

The present disclosure generally relates to managing weather information. In some embodiments, methods and user interfaces for managing weather information are described. In some embodiments, methods and user interfaces for displaying daily weather information are described.

Determining a white plume control line of smoke after wet desulphurization includes: drawing a saturated air enthalpy humidity curve or equivalent; obtaining annual temperature and humidity change data of located cities or regions along with the time at the frequency of at least one datum every day; drawing the data obtained in the saturated air enthalpy humidity curve; and drawing a tangent line on the saturation curve by using each meteorological point in a chart, the right lower side of the tangent line is a de-pluming control region, the de-pluming effect superior to that at the feature meteorological point can be realized when the smoke enters the region after regulation, a region defined by the de-pluming control line and the saturation curve at a low-temperature side forms a de-pluming day number control region, and the point number falling within the region is the white plume generating day number.

Determining a white plume control line of smoke after wet desulphurization includes: drawing a saturated air enthalpy humidity curve or equivalent; obtaining annual temperature and humidity change data of located cities or regions along with the time at the frequency of at least one datum every day; drawing the data obtained in the saturated air enthalpy humidity curve; and drawing a tangent line on the saturation curve by using each meteorological point in a chart, the right lower side of the tangent line is a de-pluming control region, the de-pluming effect superior to that at the feature meteorological point can be realized when the smoke enters the region after regulation, a region defined by the de-pluming control line and the saturation curve at a low-temperature side forms a de-pluming day number control region, and the point number falling within the region is the white plume generating day number.

A method for asset maintenance includes determining a location of an asset, receiving meteorological data corresponding to the location, determining forecasted meteorological conditions for the asset from the meteorological data, determining a forecasted probability of degradation or failure of the asset based, at least in part, on the forecasted meteorological conditions, and dispatching asset maintenance services for the asset responsive to determining that the forecasted probability of degradation or failure of the asset is above a selected threshold. The method may also include collecting sensor data corresponding to the asset, and determining the forecasted probability of degradation or failure of the asset based, at least in part, on the forecasted meteorological conditions and the sensor data. A corresponding apparatus, computer program product, and computer system are also disclosed herein.

A method for asset maintenance includes determining a location of an asset, receiving meteorological data corresponding to the location, determining forecasted meteorological conditions for the asset from the meteorological data, determining a forecasted probability of degradation or failure of the asset based, at least in part, on the forecasted meteorological conditions, and dispatching asset maintenance services for the asset responsive to determining that the forecasted probability of degradation or failure of the asset is above a selected threshold. The method may also include collecting sensor data corresponding to the asset, and determining the forecasted probability of degradation or failure of the asset based, at least in part, on the forecasted meteorological conditions and the sensor data. A corresponding apparatus, computer program product, and computer system are also disclosed herein.

Methods, systems, and computer-readable medium for personalized weather forecast videos are provided. In one implementation, a weather forecast may be obtained, and a personalized profile associated with a user may be obtained. Further, the personalized profile may be used to select at least one characteristic of a character. Further, the personalized profile and the weather forecast may be used to generate a personalized script related to the weather forecast. Further, the selected at least one characteristic of a character and the generated personalized script may be used to generate a video of the character presenting the generated personalized script.