An example method comprises receiving first historical meso-scale numerical weather predictions (NWP) and power flow information for a geographic distribution area, correcting for overfitting of the historical NWP predictions, reducing parameters in the first historical NWP predictions, training first power flow models using the first reduced, corrected historical NWP predictions and the historical power flow information for all or parts of the first geographic distribution area, receiving current NWP predictions for the first geographic distribution area, applying any number of first power flow models to the current NWP predictions to generate any number of power flow predictions, comparing one or more of the any number of power flow predictions to one or more first thresholds to determine significance of reverse power flows, and generating a first report including at least one prediction of the reverse power flow and identifying the first geographic distribution area.

In an embodiment, a computer-implemented method of generating and displaying a comprehensive depiction of a weather element comprises: based on archived forecast model and observed data, training a machine learning model; calibrating current forecast data by applying the machine learning model to yield a calibrated forecast probability density function; displaying graphical representation of recently observed data and calibrated forecast probability density.

Systems and methods are for determining and/or forecasting local atmospheric stability and/or turbulence. This information can be used to inform decisions regarding crop spraying, such as whether the atmospheric conditions are sufficiently turbulent to avoid airborne spray fines drifting in an undesirable manner. For example, a spray drift hazard alert system can include a data logger. The data logger is configured to: receive local meteorological observation data from one or more sensors at a location, analyze the data to determine a local vertical turbulence characteristic indicative of a current level of vertical turbulence at the location, compare the vertical turbulence characteristic with a predetermined threshold of the vertical turbulence characteristic, and transmit information to a client device indicating whether local meteorological conditions are suitable for crop spraying based on the comparison between the vertical turbulence characteristic and the predetermined threshold.

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 are provided herein for supplying localized weather information to a user. This may be accomplished by a system receiving a request to generate a weather report for a location. The system may identify weather information sources within a threshold distance of the location, wherein one or more of the weather information sources is a mobile weather information source. The device may generate a weather report for the location based on the weather information received from the weather information sources.

A method for real-time prediction of wind conditions across a wind farm comprising a plurality of wind turbines, the wind farm being arranged at a wind farm site, is disclosed. A first library of site specific mean wind flow patterns related to the wind farm site, and a second library of non-site specific turbulence patterns, are provided. Weather data is measured at a plurality of positions within the wind farm site, and based on the measured weather data, a mean wind flow pattern is selected based on the first library and a turbulence pattern is selected based on the second library. A site specific wind flow field across the wind farm site is modelled, based on the selected mean wind flow pattern and the selected turbulence pattern, and wind conditions across the wind farm are predicted, based on the site specific wind flow field.

A computerized method of processing data for use in weather modeling is provided. The method includes receiving, from a first data source, by a first server, microwave link data including signal attenuation information. The method also includes pre-processing, in real time, by the first server, the microwave link data, thereby producing pre-processed microwave link data. The method also includes storing the pre-processed microwave link data in a first data store. The method also includes receiving, from the first data store, by a second server, the pre-processed microwave link data. The method also includes processing, on a scheduled routine, by the second server, the pre-processed microwave link data using a data transform, thereby producing first weather data.

A method having a step of preparing an on-board database containing various kinds of geographical data. During a step of preparing a risk database, at least one local weather risk is stored prior to flight for at least one mesh. During a weather determination step, current and/or forecast weather conditions are acquired for at least one mesh. During a processing step, at least one combined parameter is determined for at least one mesh, each value of a combined parameter being obtained by applying a logic function giving the value of the combined parameter for a mesh as a function of the geographical data and also of the weather risk and the meteorological data. During an analysis step, the presence of a potential local weather danger, at least around the aircraft, is detected in flight as a function of the combined parameter values.

A data processing system is for producing a weather report. The data processing system may include external weather event databases, each external weather event database having a different weather event data set, and a server in communication with the external weather event databases. The server may be configured to import the different weather event data sets from the external weather event databases, perform a filtering process on the different weather event data sets from the external weather event databases, and generate the weather report based upon the filtered different weather event data sets from the external weather event databases and a geolocation.