1142results about "Weather condition prediction" patented technology

A transmitter transmits time synchronized data via a pager/WiMax/802.x access to a receiver system, wherein the receiver system is programmed to receive data for specific geographic locations. The geographic locations may be specified by the user or by the receiver system, and includes state, zip codes, towns, counties, towns, or cardinal regions. The receiver is able to find its location when outside its cell region and is able to synchronize to the data transmitted in the new cell region. Further, the receiver system is able to remotely monitor weather data and other information at a different location via wireless Internet or voice over IP. A transceiver may also be used to receive weather or alert data. In response to receiving data, the transceiver transmits the data to low powered devices in a house using a different frequency band than the frequency band it received the data.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site. Recommended activities to be performed or a recommended time to perform an activity may be determined based on a user's schedule, weather or conditions forecasts, or a location of the user or the potential activity.

Methods and articles of manufacture for estimating or deriving weather observations/conditions for any given location using observed weather conditions from neighboring locations, radar data, lightning data, satellite imagery, etc. An initial estimate of weather conditions for a location is made based on a downscaling process using the current conditions the neighboring locations. A measure of corroboration between the radar data and surface weather conditions at official observing stations may be established. Through the results of the downscaling process, radar calibration statistics and estimates of ground-based precipitation, the corroboration can be iteratively tuned, resulting in a weather conditions vector containing associated meteorological fields for locations that lie between or near the sparse network of official observing sites from which an estimate of the weather conditions may be made.

A system and method for accessing and displaying weather information are shown. A weather station (102) collects weather information data from sensors (108-114) using a collection program and assembles the data as a data string in a memory. A station access system (140) is used to call the weather station through the Internet (150) and a wireless cellular digital packet data system (154). The weather station downloads the weather data string to a data base (164). A user contacts the access computer through the Internet using his personal computer (170) to ask for the weather information. The information is compiled from the data base and transmitted to the user's display (172) over the Internet. A user such as a farmer can also supply the system with his particular field and crop conditions and the system will apply the conditions to the weather information and return customized crop production and control information to the farmer over the Internet.

The invention relates to a system for power grid thunderstorm disaster warning based on recognition and forecast. The system is characterized by comprising a thunderstorm forecast information module, an early warning data analyzing module, a power grid thunderstorm risk early warning module and a display module all connected with one another in sequence. The invention further relates to a method which adopts the system to perform power grid thunderstorm disaster early warning. The system and the method utilize region thunderstorm characteristic and regional power grid characteristic, and combine the anti-thunderstorm design parameters and the on-site geographical conditions of power grid equipment including various transformer substations, electric transmission lines, pole and the like, so as to realize real-time automatic monitoring on the thunderstorm disaster, perform actual condition analysis quantitatively at a specific time and location and near-disaster early warning and perform fine instructional functions on production and scheduling of power grid.

A method of predicting weather-exacerbated threats, said method comprising inputting localized weather measurement data into a weather threat prediction system; predicting future localized weather conditions based on said localized weather measurement data combined with modeling from large scale weather data including National Weather Service Data; inputting natural environment and infrastructure data into said weather threat prediction system; correlating said infrastructure data with said predicted future localized weather conditions; and determining a threat level index over a region, a threat level indicating an area having a certain probabilistic likelihood of being harmed by said future weather conditions.

Watershed hydrology analysis and management process and system with a network of weather stations and artificial drainage systems with artificial and natural reservoir management through locks and pumping stations. It evaluates potential hydrologic risk in each area and analyses the possible consequences of future precipitations using simulations. To make the simulation, it calculates hydrographs for each sub-basin, streams and rivers in the basin. It simulates the behavior of the basin under different scenarios corresponding to different types of management of the operation of locks and/or pumps and compares its results in terms of loss of flooded area, economic loss in each area, loss for flooding of urban areas, etc. Optimization of the simulation through artificial intelligence (AI, meta-heuristic algorithms, neural networks, etc.) allows it to act as a search engine to find better solutions and the best configuration of resource management that allows minimizing the socio-economic impact on each basin.

A method of predicting storm cell characteristics at a future time is provided. A value relating to a characteristic of the storm cell is determined from reflectivity data processed from signals received from a radar scan of the storm cell. A second storm cell is identified that is part of the same weather system as the storm cell. A plurality of values relating to the characteristic for the identified second storm cell is received from a memory wherein the plurality of values were determined at a plurality of different times. The determined value of the storm cell is compared with the determined plurality of values of the identified second storm cell. A growth rate of the storm cell is determined. A maximum height of the storm cell at a third time in the future is calculated based on the comparison and the determined growth rate and presented to a user.

A system, method and computer program product to assist in managing the physical plant mechanisms and market finances for a deregulated electricity grid or regulated utility grid, populated with solar electric generation capacity. This system provides tools to assist grid operators in the scheduling and dispatch of generation resources in an electrical grid populated with solar electric generation capacity, a week in advance, on an hourly basis. It also provides tools to assist companies engaged in generation, distribution and energy marketing, in the electrical power industry, to manage their contractual supply obligations in the day-ahead hourly wholesale market and the spot market, in an electrical grid populated with solar electric generation capacity. This process can also be used to predict solar loading of building structures, using forecast irradiance data as inputs to common building energy modeling programs, a week in advance, on an hourly basis.

A Weather Information Network Enabled Mobile System for providing information to a user regarding an emergency event. The WINEMS system receives location data, such as from a GPS system, and correlates the location data with the emergency alert to display a map showing both a location of the WINEMS system and a location of the emergency event. Preferably, the locations are displayed on a digital map.

Weather forecasting systems and methods for deriving and producing very short-term weather forecasts. Weather data and forecast information maybe input to derive very short-term weather forecasts in the 0-6 hour time frame. The system and methods include an expert system employing a hybrid or blending of forecasting approaches, with dynamic or intelligent arbitration of the different numerical, statistical, and human-driven techniques to produce more accurate weather forecasts for very short-term time periods. A calibration or internal verification against ground truth may be run independently with a time lag to produce more accurate future predictions of atmospheric state. The systems and methods may run in modes that produce either high resolution weather forecasts in the short-term period of 0-6 hours or a combination of synthetic, real-time weather observations/conditions and high resolution, short-term weather forecasts.

The location of weather activity from a moving platform such as an aircraft is enhanced using triangulation in time. More particularly, a first measurement of the weather activity is made relative to the aircraft at a first time. A second measurement of the location of the weather activity is made from the aircraft at a second period in time. The first measurement is modified or updated to correct for the change in position of the aircraft between the first and second measurements and then the modified data is compared with the data of the second measurement to enhance the location of the weather activity.

A method for optimizing the flight path of an aircraft is performed by collecting atmospheric information data from one or more sensors mounted on an aircraft; processing the collected atmospheric information; predicting an atmospheric condition in a flight path of the aircraft based upon the collected atmospheric information; and modifying the flight path in anticipation of the atmospheric condition.

Described are a method and a system for generating a short-term forecast of echo tops as defined by weather radar measurements. The method includes receiving echo tops images for different times. An echo tops growth rate and an echo tops maximum value are determined for pixels in one of the images and used to generate echo tops prediction values for an echo tops prediction image. For pixels in regions of the image determined to be subject to convective initiation but where convective weather does not exist, an echo tops initiation height and the echo tops maximum value are determined and used with a predicted precipitation value to generate an echo tops prediction value for each pixel.

An output of a photovoltaic (PV) device is predicted by applying Fourier analysis to historical data to obtain frequencies and a mean of the frequencies in the data. Regression analysis is applied to the data to obtain a regression coefficient. Then, the prediction is a sum of the mean at the time step and a deviation from the mean at a previous time step, wherein the means are represented and approximated by selected frequencies, and the deviation for the previous time step is weighted by the regression coefficient.

A method for forecasting reduction in sunlight intensity due to cloud cover at a photovoltaic power plant is described. The method comprises determining characteristics of one or more clouds from sensors surrounding the photovoltaic power plant. The cloud characteristics are used to create a 3D map of the clouds. The 3D map in combination with information on the angle of the sun is used to create a 3D projection on the surface of the earth, resulting in a 2D surface irradiance map. The 2D surface irradiance map may be taken in successive projections or used in combination with wind speed data to forecast fluctuation in irradiance at the photovoltaic power plant. The forecasted reductions in power may be used to enact measures at the plant such as reducing the power output of inverters to prevent sudden fluctuations in the power output of the photovoltaic plant feeding the utility.

A system that collects parametric information that reflects local weather conditions receives signals from sensors. The signals are transmitted to a server that combines the information contained within the signals with weather data to determine local weather conditions and develop forecasts. The local weather conditions and forecasts may be transmitted to a vehicle and may be combined with navigation information to optimize travel routes.

An integrated rainfall calculation method using X-band dual-polarimetric radar measurement data includes a precipitation classification step of classifying hydrometeors into four types of snow, rain/snow, rain and non-meteorological target through a fuzzy logic technique using a correlation coefficient (cross correlation coefficient, ρ_hv), features of a measured differential propagation phase (Ψ_dp(r)) or differential propagation phase (φ_dp) and a signal-to-noise ratio (SNR) as input variables (input feature vector); a specific differential phase calculation step of separately calculating a specific differential phase by applying a specific differential phase using a total difference of differential phase and signal-attenuation corrected reflectivity for the rain among the classified hydrometeors and applying a specific differential phase calculated using a filtering method for the other hydrometeors; and a rainfall calculation step of calculating rainfall by using a relation between the specific differential phase and the rainfall and using the separately calculated specific differential phase.

A method for conveying both a risk and the degree of risk of a severe weather at a particular geographic location is disclosed. The method involves receiving a location of interest from a requestor, forecasting a risk of severe weather for a specific time period associated with the location, computing a degree of severity level of the risk of severe weather for the location, and generating a report containing the risk forecast and the computed severity level that can be delivered or provided to the requestor. The severity level of the risk of severe weather is provided in an easy to understand graphic or other format.

A system and method for accessing and displaying weather information are shown. A weather station (102) collects weather information data from sensors (108-114) using a collection program and assembles the data as a data string in a memory. A station access system (140) is used to call the weather station through the Internet (150) and a wireless cellular digital packet data system (154). The weather station downloads the weather data string to a data base (164). A user contacts the access computer through the Internet using his personal computer (170) to ask for the weather information. The information is compiled from the data base and transmitted to the user's display (172) over the Internet. A user such as a farmer can also supply the system with his particular field and crop conditions and the system will apply the conditions to the weather information and return customized crop production and control information to the farmer over the Internet.

The invention relates to a meteorological modelling method for calculating an aircraft flight plan, the aircraft comprising a communication means and a navigation management system.

The method comprises at least the following steps: the communication means carries out the acquisition of meteorological prediction data related to waypoints in proximity to the nominal route in addition to the waypoints belonging to the nominal route, the navigation management system allocates by projection onto the current route of the aircraft the prediction data for the said waypoints not belonging to the current route, the navigation management system calculates the meteorological prediction data for the waypoints of the current route of the flight plan according to the prediction data allocated by projection onto the current route of the aircraft.

The invention is a modelling method for aircraft navigation management systems.

The invention relates to the technical field of prediction of weather states, and especially relates to a modeling evaluation method for urban heavy rain inundation. The method includes the following steps: (1), establishing a to-be-evaluated area into a digital elevation model, and dividing the model into grids; (2), generating a river network, establishing a river network on the digital elevation model, and determining the current direction and speed of a basin; (3) determining inundated areas, the grids the river flows across being river grids and other grids being ground grids, determining initial river grids and inundation conditions, and successively determining, from the initial river grids, whether the ground grids adjacent the river grids meet inundation conditions, wherein the ground grids are inundated grids if the conditions are satisfied, otherwise, the ground grids are not inundated grids; (4) determining the inundation critical rainfall; (5) determining inundation calamity risks; and (6) evaluating inundation risks. Through adoption of the method, the inundation coverage, the inundation depth, the inundation risks and losses or the like can be predicated before heavy rain, early warning is carried out timely, property losses are minimized, and personal safety is guaranteed.

A method of determining a surface condition of a road of travel. A light beam directed at a surface in the road of travel is transmitted utilizing a lidar system. A response is analyzed at a photodetector of the lidar system after transmitting the light beam. A determination is made whether a form of precipitation is present on the road of travel in response to analyzing the response at the photodetector. A precipitation indicating signal is generated in response to the determination that the ground surface includes a form of precipitation on the road of travel.

The invention relates to a historical data based intelligent early warning system for typhoon and flood, comprising a database system used for storing historical data, predicting data and GIS base map data, a neural network prediction server, a WEBGIS graph display system and a WEB server, wherein the neural network prediction server is used to process the historical data to obtain prediction data which is then stored in the database system; the WEBGIS graph display system displays data in the database system graphically and publishes the data through the WEB server; the WEB server receives prediction request data inform a user client and displays the corresponding prediction result to the user in the form of WEB. Compared with the prior art, the invention has the characteristics of high prediction accuracy, intuitive display of the current storm surge information and forecasting of storm surge information. Besides, the historical data based intelligent early warning system for typhoon and flood can be taken as an auxiliary decision making system for forecasters to forecast storm surges.

A computerized system for mapping an atmospheric phenomenon in a geographic region. Multiple free-space electromagnetic communications links are previously distributed in the geographic region. The system includes an interface to monitoring mechanisms attached respectively to the free-space electromagnetic communications links. The monitoring mechanisms respectively monitor attenuation levels of the free-space electromagnetic communications links. A processor simultaneously processes the attenuation levels, and maps in the geographic region the atmospheric phenomenon. The simultaneous processing preferably applies a non-linear model which relates the attenuation levels the atmospheric phenomenon, and solves a tomographic problem based on the non-linear model and the attenuation levels. The tomographic problem is preferably solved by an interactive algorithm based on consecutive refinement and linear inversion at each iteration. Alternatively, an interpolation is performed based on respective inverse distance from the communications links. Preferably, the interpolation is further based on respective lengths of communications links. A data interface preferably provides to subscribers temporal information related to the atmospheric phenomenon within portions of the geographic region.

Methods and systems for normalizing flood warnings and potential flood levels across multiple river gauges by converting localized flood stage levels to a datum-based normalized value are disclosed. The normalized flood levels can then be used to plot flood levels from multiple river gauges on an inundation map. Methods and systems are also disclosed for creating animated inundation maps that illustrate flood levels geographically, and may include an indication of the certainty that flooding will reach one or more of the indicated flood levels through the use of multiple colors, shades, dithering, or the like.

Systems and methods for providing visualizations of forecast weather in accordance with information received from a forecast database. A forecast engine generates analysis and forecast grids indicative of weather conditions which is stored at a weather data server. A data processor receives user inputs and converts the grids into data representative of predetermined objects within a scene. An element generator generates the objects as graphical elements, and a render receives the graphical elements and renders the scene. The system automatically generates a plurality of scenes as a visualization of weather over a predetermined period of time in accordance the grids for previous time periods through future time periods.

A weather radar system for improving output of potential lightning and hail weather conditions. An exemplary system includes a processor that receives and stores the weather radar reflectivity values into a three-dimensional buffer, receives an outside air temperature value, and determines freezing level based on the received outside air temperature value. The processor generates lightning icon(s) when a reflectivity value stored at cell(s) of the three-dimensional buffer above determined freezing level is greater than a first threshold amount. Also, the processor adds 1.6 km to the determined freezing level and generates hail icon(s) when a reflectivity value stored at cell(s) at the determined freezing level plus 1.6 km are greater than a second threshold amount. The display device displays the hail and lightning icons when an altitude value that corresponds to the cells associated with the generated lightning icons has been selected for display.

A system and method are responsive to actual or anticipated weather changes that are likely to have an adverse effect on roadway driving conditions in a given vehicle use area. Based on the anticipated severity of the weather condition, transport-related road and/or parking tolls and fees are increased in order to discourage unnecessary vehicle travel. Using a communication system such as a transponder network, changes in the tolls and fees can be transmitted to toll collection agencies, public parking facilities and other governmental and private enterprises responsible for the collection of vehicle transport fees. Rate change information and details of weather changes can also be transmitted to vehicles likely to be affected by the adverse condition and the consequent change in these fees.

A wind energy forecasting system processes data from one or more numerical weather prediction models with power output data from a wind energy facility using artificial intelligence. This artificial intelligence is applied in one or more neural networks that produce specific power output forecasts for each numerical weather prediction model. A statistical ensembling approach is then applied to the resulting numerical weather prediction model forecasts and integrated with a persistence power output forecast to arrive at a consensus, overall forecasted power output for the wind energy facility.