A method, apparatus, system, and computer program code for determining a financial risk to a financial security. A computer system obtains historical time series of the annual counts of tropical cyclones globally and of the global mean sea surface temperature. Based on a time series of annual changes in cumulative annual counts of major tropical cyclones, the computer system trains a statistical model to make projections of the annual cumulative counts of major tropical cyclones globally. The computer system uses these projections to determine the physical risk to fixed assets. Based the physical risk to the fixed asset, the computer system updates an assumption of a financial model. The computer system analyzes the financial risk of the financial security based on the financial model and the assumption that was updated.

This invention provides an energy storage device manager, a system comprising the energy storage device manager, computer-readable media configured for providing the energy storage device manager, and methods of using the energy storage device manager. The energy storage device manager can optionally control charge buses and/or load buses to modulate the state of charge of an energy storage device. The energy storage device manager can optionally be configured with a plurality of modes that target different states of charge. The plurality of modes can optionally comprise a maintain mode which targets a nominal (e.g. 50%) charge state and a high-charge mode that targets a state of charge greater than the maintain mode. The plurality of modes can optionally further include an in-use mode which targets a state of charge greater than the maintain mode, and turns on a load bus that is turned off in the preparation mode. The energy storage device manager can optionally be configured to determine a charge start time to execute the preparation mode. The energy storage device manager can optionally be configured to determine the charge start time based on forecast data (e.g. power prediction forecast determined based on weather forecast).

This invention provides an energy storage device manager, a system comprising the energy storage device manager, computer-readable media configured for providing the energy storage device manager, and methods of using the energy storage device manager. The energy storage device manager can optionally control charge buses and/or load buses to modulate the state of charge of an energy storage device. The energy storage device manager can optionally be configured with a plurality of modes that target different states of charge. The plurality of modes can optionally comprise a maintain mode which targets a nominal (e.g. 50%) charge state and a high-charge mode that targets a state of charge greater than the maintain mode. The plurality of modes can optionally further include an in-use mode which targets a state of charge greater than the maintain mode, and turns on a load bus that is turned off in the preparation mode. The energy storage device manager can optionally be configured to determine a charge start time to execute the preparation mode. The energy storage device manager can optionally be configured to determine the charge start time based on forecast data (e.g. power prediction forecast determined based on weather forecast).

Disclosed is an ensemble coupled assimilation system for numerical prediction and the method thereof. The ensemble coupled assimilation system includes a module for integrating coupled models and managing collaborative ensemble operation, an assimilation algorithms integration module, a module for configuring ensemble coupled assimilation experiment, and an online interaction module for ensemble coupled assimilation.

Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved. In addition, in a technical solution according to the embodiment of the present disclosure, intermediate forecast data outputted by the first-level generalizer acts as an input of the second-level generalizer, such that

Disclosed is a method for processing an irradiation forecast. The method includes: acquiring irradiation forecast data corresponding to a target time period; calling a stacked generalization model including a first-layer generalizer and a second-layer generalizer; determining, using the first-layer generalizer, intermediate forecast data based on the irradiation forecast data corresponding to the target time period; and determining, using the second-layer generalizer, an output forecast value corresponding to the target time period based on the intermediate forecast data. In a technical solution according to an embodiment of the present disclosure, a method for processing an irradiation forecast is achieved. In addition, in a technical solution according to the embodiment of the present disclosure, intermediate forecast data outputted by the first-level generalizer acts as an input of the second-level generalizer, such that

A delivery system for delivering a package to a delivery destination using a moving body, including a weather information acquiring unit that acquires weather information including information concerning weather at the delivery destination; and a judging unit that judges whether delivery of the package to the delivery destination by the moving body is possible, based on the weather information acquired by the weather information acquiring unit.

The present disclosure belongs to the technical field of monitoring landslide mass geological disasters, and discloses a multi-state triggered system and method for remote automatic monitoring and early warning of a landslide mass. The multi-state triggered system for remote automatic monitoring and early warning of a landslide mass includes: a landslide mass monitoring module, a data preprocessing module, a communication module, a central control module, a displacement monitoring module, a stability evaluation module, an abnormality early warning module, a power supply module, a data storage module and a display update module. In the present disclosure, through the displacement monitoring module and the stability evaluation module, long-term automatic monitoring of the landslide mass can be realized, and the displacement change of the landslide mass can be grasped so as to evaluate the stability of the landslide mass.

A method is provided for locating an image recording of an object such as a celestial body, recorded by at least one imaging recording device from a distance. The method includes acquiring image data which represent the image recording and its point in time of recording; acquiring measurement data which represent, for the point in time of recording, a respective measurement signal of at least one sensor device which is arranged in a surface portion of the object; and matching the image data and the measurement data. The method also includes locating the image recording with respect to the object by a determination of a position in the image recording which corresponds to the location of the sensor device on the basis of the matching, and an associating of the location information with this position.

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.