Abstract: A system (100) for scaling and statistical adjustments of precipitation rates for apparatuses having precipitation sensitive sensors. The system (100) includes a weather information station (120) configured to provide precipitation rates for areas of a region and a processor (130) in communication with the weather information station (120). The processor (130) is configured to obtain the precipitation rates of the areas of the region, determine a climatological metrics relationship between at least two climatological metrics of the precipitation rates, determine an operational metrics relationship between at least two operational metrics of the precipitation rate, compare the climatological metrics relationship with the operational metrics relationship. The processor (130) is also configured to determine at least one of a probability associated with a predetermined exceedance rate threshold and an exceedance rate threshold associated with a predetermined probability.

Abstract: A reference devices system (720) for generating and managing calibration data for sensors used to obtain weather information is provided. The reference devices system (720) includes a plurality of reference devices, wherein a reference device (110) of the plurality of reference devices is configured to be calibrated against a weather station (115) and to serve as a calibration reference for a community device (130).

Abstract: A system for using mobile data to improve weather information is provided. The system includes a weather prediction station configured to receive stationary observation data provided by a plurality of stationary weather stations along with data from a plurality of input weather models and generate unified weather model estimates based on the stationary observation data, the input weather model data, and a processor. The processor is configured to aggregate mobile observation data provided by a plurality of non-stationary sensors and use the aggregated mobile observation data to adjust the weather model estimates.

Abstract: A system (100) for using mobile data to improve weather information is provided. The system (100) includes a weather prediction station (120) configured to receive stationary observation data provided by a plurality of stationary weather stations (110) along with data from a plurality of input weather models (115) and generate unified weather model estimates based on the stationary observation data, the input weather model data, and a processor (130). The processor (130) is configured to aggregate mobile observation data provided by a plurality of non-stationary sensors (140) and use the aggregated mobile observation data to adjust the weather model estimates.

Abstract: A system (100) for using mobile data to improve weather information is provided. The system (100) includes a weather prediction station (120) configured to receive stationary observation data provided by a plurality of stationary weather stations (110) along with data from a plurality of input weather models (115) and generate unified weather model estimates based on the stationary observation data, the input weather model data, and a processor (130). The processor (130) is configured to aggregate mobile observation data provided by a plurality of non-stationary sensors (140) and use the aggregated mobile observation data to adjust the weather model estimates.

Abstract: A weather data system (100) with coded weather data is provided. The weather data system (100) includes an observation location (110), the observation location (110) comprising a plurality of data sources (112) configured to provide observation data (212). The observation location (110) is configured to at least one of code the observation data (212) into a coded observation data (212?) and provide the observation data (212) to a data aggregator (114) configured to code the observation data (212) into the coded observation data (212?).

Abstract: The present application describes a means for utilizing mobile sensors to obtain estimated weather observations for use in enhancing climatological databases. Such mobile sensor data is incorporated into a database also containing data from fixed reference sensors. The mobile sensor weather data is combined statistically to derive pseudo-observations to be added to the database. The data from sensors and from prior pseudo-observations are used to perform quality analysis of the data in the database and invalidate outlier data values. The remaining data is used to generate a climatology database that enables generation of more accurate weather forecasts.

Abstract: A weather data system (100) with coded weather data is provided. The weather data system (100) includes an observation location (110), the observation location (110) comprising a plurality of data sources (112) configured to provide observation data (212). The observation location (110) is configured to at least one of code the observation data (212) into a coded observation data (212?) and provide the observation data (212) to a data aggregator (114) configured to code the observation data (212) into the coded observation data (212?).

Abstract: The present application describes a means for utilizing mobile sensors to obtain estimated weather observations for use in enhancing climatological databases. Such mobile sensor data is incorporated into a database also containing data from fixed reference sensors. The mobile sensor weather data is combined statistically to derive pseudo-observations to be added to the database. The data from sensors and from prior pseudo-observations are used to perform quality analysis of the data in the database and invalidate outlier data values. The remaining data is used to generate a climatology database that enables generation of more accurate weather forecasts.

Abstract: A method for providing weather information to a user is provided. The method includes steps of receiving a gridded forecast and receiving a user request for weather information for a location of interest within the gridded forecast. The method further includes steps of determining if updated sensor data is available for local grid points located proximate the location of interest. If updated sensor data is available, the method updates latest observation-based conditions at the local grid points. The method further includes a step of updating the weather information based on the updated sensor data and the gridded forecast.

Abstract: A path progression matching system and method that uses path progression to find a current position of a mobile device in an indoor environment and a path history to find the path of the mobile device to get to the current position. Embodiments of the system and method use path history information, constraints, and optimization measures such as the use of received signal strength indicator (RSSI) weighted correlation coefficients. Embodiments of the system and method include a unified probabilistic model that uses path history and allows multiple constraints to be applied simultaneously. Embodiments of the system and method also include a path progression module having a first-stage progression module, which finds a starting location for the path progression matching, a second-stage module, which begins building a path history, and a third-stage progression module, which uses the path history to find the current position and path.

Abstract: On-premise virtual shopping assistance is provided via a mobile device and other networked user interface devices. The assistance can be based on various context parameters associated with the shopper, including without limitation location, past shopping behavior, shopping list content, store layout, inventory, social networking characteristics, in-store activity, perceived shopper intent, etc. Based on such context information, a retailer and/or a manufacturer can provide relevant information to an on-premise shopper, including without limitation product/service promotions (e.g., discounts), product/service specifications (e.g., nutritional information) and recommendations and on-premise routing information. Such information may be presented to the user through a mobile device or via on-premise displays that respond to the shopper's location within a store.

Abstract: A path progression matching system and method that uses path progression to find a current position of a mobile device in an indoor environment and a path history to find the path of the mobile device to get to the current position. Embodiments of the system and method use path history information, constraints, and optimization measures such as the use of received signal strength indicator (RSSI) weighted correlation coefficients. Embodiments of the system and method include a unified probabilistic model that uses path history and allows multiple constraints to be applied simultaneously. Embodiments of the system and method also include a path progression module having a first-stage progression module, which finds a starting location for the path progression matching, a second-stage module, which begins building a path history, and a third-stage progression module, which uses the path history to find the current position and path.

Abstract: The traditional minimum antenna area limit for synthetic aperture radar (SAR), imposed by ambiguity considerations, is eliminated by using a transmitter format providing distinguishable sub-pulses. Signal formats which are feasible for implementing such sub-pulses include frequency-division (i.e., a distinct frequency band is used for each sub-pulse), and code-division (i.e., sub-pulses occupying the same frequency band are grouped in distinguishable combinations). The nominal pulse period is divided into N sub-pulses, and the sub-pulse group is transmitted with the nominal pulse repetition frequency (f.sub.p). The range ambiguities are determined by the repetition rate of the sub-pulse group (f.sub.p) and the azimuth ambiguities are determined by the repetition rate of the sub-pulses (N.f.sub.p).