Described herein are methods of estimating a chance of precipitation in an area that include identifying one or more vehicles in the area and determining the likelihood of precipitation using telematics data for the one or more vehicles in the area. Also described herein are methods that include receiving telematics data from a plurality of vehicles, wherein the telematics data is associated with a location, analyzing the telematics data to identify vehicle events associated with one or more segments of road, analyzing weather information associated with the one or more segments of road, and determining a correlation between the weather information and the vehicle events.

An atmospheric pollution emission control effect evaluation method, device and storage medium, including: carrying out meteorological condition frequency statistics of data collected from meteorological station, obtaining meteorological condition frequency distribution information; obtaining pollutant concentration information, performing pollutant concentration distribution statistics to obtain pollution concentration distribution information and pollution concentration variation information; decomposing effects of meteorological factors and non-meteorological factors according to meteorological condition frequency distribution information, pollution concentration distribution information and pollution concentration variation information, to obtain meteorological and non-meteorological contribution information; constructing source emission control effect evaluation data set according to meteorological condition frequency distribution information, pollution concentration distribution information, meteorological and non-meteorological contribution information. Accordingly, emission control effect can be quantitatively evaluated based on observation data. Emission increasing effect and contribution of meteorological changes to variation of average pollution level can be quantified.

Provided is a setting method of a Wi-Fi doorbell (2), in which a Wi-Fi doorbell (2) comprising a camera capable of reading a two-dimensional code and a mobile communication terminal (4) comprising a display unit (6) capable of displaying the two-dimensional code are used. The setting method comprises steps of causing the display unit (6) to display a two-dimensional code in which password information for enabling the Wi-Fi doorbell (2) to connect to a network (5) via a Wi-Fi router (20) is embedded reading the two-dimensional code by the camera (9) of the Wi-Fi doorbell (2); and setting the Wi-Fi doorbell (2) to a state where the Wi-Fi doorbell (2) can perform communication with a remotely disposed server (3) via the Wi-Fi router (20), based on the read two-dimensional code.

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.

A ground weather center may transmit information requests that carry at least one meteorological specific triggering command. An airborne system may translate the triggering command into detectable meteorological conditions and may arm the trigger(s) for specific weather sensors accordingly and downlink information upon the airborne system detects the triggering conditions. By using such a triggering command, the airborne system may be able transmit the same amount of valuable information with less bandwidth by reducing the number of redundant downlinked packets.

A precipitation index estimation apparatus includes a data collection unit and an estimation processing unit. The data collection unit is configured to collect rainfall amount data detected by a rainfall amount sensor in one or more vehicles positioned on a predetermined road link within a predetermined period. The estimation processing unit is configured to estimate a precipitation index indicating an intensity of precipitation on the predetermined road link within the predetermined period, based on the collected rainfall amount data.

A precipitation index estimation apparatus includes a data collection unit and an estimation processing unit. The data collection unit is configured to collect rainfall amount data that is detected by a rainfall amount sensor in one or more vehicles positioned in a predetermined area within a predetermined period. The estimation processing unit is configured to estimate a precipitation index indicating an intensity of precipitation in the predetermined area within the predetermined period, based on the collected rainfall amount data.

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.

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 weather sensing and reporting system includes a filter module configured to receive weather condition data collected by a plurality of vehicles in a reporting region and filter the weather condition data by selectively removing individual samples from the weather condition data based on meteorological quality control standards. A weather condition calculation module is configured to calculate weather conditions in the reporting region based on the filtered weather condition data and a report generation module is configured to generate and transmit a weather report based on the calculated weather conditions.