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.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for generating an avatar based on a weather condition. The program and method include determining a current location of a user device; retrieving a weather condition at the current location of the user device; automatically generating a weather-based avatar for a person associated with the user device, the weather-based avatar having a visual attribute corresponding to the weather condition; and, in response to a request from a requesting device, causing display on the requesting device of the weather-based avatar.

Systems and methods may be configured for providing preemptive reenergizing alerts designed to alert vehicle users to reenergize their vehicles in anticipation of power disruption conditions. Weather related data and/or grid related data may be leveraged for predicting the likelihood of power disruption conditions of a grid power source. When power disruption conditions are likely to increase the cost of energy by greater than a predefined threshold, one or more reenergizing alerts may be automatically communicated for alerting the users of the need to reenergize (e.g., refuel, recharge, etc.) their vehicles. Preemptively alerting users to reenergize their vehicles in this manner may ensure that the vehicle will be available for use as a backup power source during actual power disruption conditions.

Methods, apparatuses, systems and computer program products are disclosed to estimate road surface temperature for a geographic location. Reference ambient sensor data indicative of ambient conditions in vicinity to mobile vehicles are retrieved. Reference roadside sensor data indicative of at least road surface temperature in vicinity to distributed roadside sensors are retrieved. A relationship is established between the reference ambient sensor data and road surface temperature, based on the reference ambient sensor data and based on the reference roadside sensor data. A data structure is created, encoding the established relationship. Further, current vehicle ambient sensor data, indicative of current ambient conditions in vicinity to the one or more vehicles, are collected at one or more vehicles. Finally, a road surface temperature estimate is determined for the geographic location, using the data structure and using the collected current vehicle ambient sensor data.

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.

A system for displaying contextually-sensitive braking information on a surface of a vehicle is presented. The system may include a transceiver, one or more memories, an electronic display disposed on the surface, and one or more processors. The one or more processors may be configured to detect a braking event of the vehicle, wherein the braking event has an associated braking force. The one or more processors may compare the braking force to a predetermined threshold braking force to determine whether the braking force exceeds the threshold braking force. The one or more processors may further cause the electronic display to display a braking indication having an intensity that is proportional to the braking force, wherein the braking indication may include a braking rationale corresponding to the braking event in response to determining that the braking force exceeds the threshold braking force.

Apparatuses, systems and methods are provided for generating enterprise data relating to roof damage associated with weather and hail data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the base-line probable roof loss confidence scores. The apparatuses, systems and methods may generate probable roof loss confidence score data based upon the base-line probable roof loss confidence scores, weather event data and hail event data. The apparatuses, systems and methods may determine aspects of a proposed service related to roof damage (e.g., damage extent, repair estimates, or repair timing) based upon the enterprise data and the probable roof loss confidence score.

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

A hierarchical early-warning system for landslide probability issues a first level warning based on measured rainfall amounts exceeding a determined threshold, a second level warning, after the first level warning, based additionally on measured soil moisture content measured at different levels, and Factor of safety derived from forecasted pore pressure (FPP) each exceeding a determined threshold, a third level warning, after the first and the second level warnings, based additionally on ground movement measurements compared to a determined threshold, and a fourth level warning after the first, second and third level warnings, based additionally on data from movement-based sensors including strain gauge data.

Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.