Abstract: An automated global weather notification system is provided. The automated global weather notification system is capable of obtaining observational weather data, including data form of forecast grids, and applying business rules and conditional variables to that data. Based on the business rules and conditional variables, notifications are generated. Relevant users are identified in particular geographic areas and notifications are delivered to those users via, for example, SMS, MMS, email, or other methods of electronic information delivery.

Abstract: The present invention transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via system components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the system comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The system may then determine comprehensive hazards mappings.

Abstract: The present invention essentially comprises a system, method, computer program and combinations thereof to utilize dual-polarization generated data generally associated with weather and non-weather events for mapping data, producing geo-referenced data, producing mosaics, generation of precipitation masks, non-precipitation mask, and classification masks in general, production of vertical cross sections and predetermined fly throughs, producing short term forecasting, prediction of specific weather phenomenon, correcting or adjusting rain gauge data as well as quantitative precipitation estimation, and combining other meteorological data to correct or adjust estimated rainfall accumulation gathered by dual-polarization radar.

Abstract: An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

Abstract: The DYNAMIC TURBULENCE ENGINE CONTROLLER APPARATUSES, METHODS AND SYSTEMS (“DTEC”) transform weather, terrain, and flight parameter data via DTEC components into turbulence avoidance optimized flight plans. In one implementation, the DTEC comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain terrain data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DTEC may then determine a non-dimensional mountain wave amplitude and mountain top wave drag, an upper level non-dimensional gravity wave amplitude, and a buoyant turbulent kinetic energy.

Abstract: An automated global weather notification system is provided. The automated global weather notification system is capable of obtaining observational weather data, including data form of forecast grids, and applying business rules and conditional variables to that data. Based on the business rules and conditional variables, notifications are generated. Relevant users are identified in particular geographic areas and notifications are delivered to those users via, for example, SMS, MMS, email, or other methods of electronic information delivery.

Abstract: The present invention essentially comprises an application, software, system, method and combinations thereof that allow using a mobile phone's location-determining capabilities, compass, and camera, an application on the mobile device that can be used to display characteristics of weather within a predetermined distance from the mobile device by querying a remote server to gather information on the attributes about the weather within the predetermined radius of the device location.

Abstract: A below-ground agricultural biological performance modeling approach in precision agriculture combines customized field modeling with machine learning techniques for environmental matching of variables to describe a below-surface soil state, to understand and predict the performance of soil-active agricultural biological products such as bio-pesticides, bio-stimulants, plant growth regulators, and other biologically-derives soil adjuvants. The modeling approach characterizes the influence of environmental relationships on the performance of such soil-active agricultural biological products to develop a suite of predictive models to provide notifications, advisories, and recommendations for appropriate products for individual fields.

Abstract: The DYNAMIC AIRCRAFT THREAT CONTROLLER MANAGER APPARATUSES, METHODS AND SYSTEMS (“DATCM”) transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via DATCM components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the DATCM comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DATCM may then determine comprehensive hazards mappings.

Abstract: The present invention essentially comprises a system, method, computer program and combinations thereof to utilize dual-polarization generated data generally associated with weather and non-weather events for mapping data, producing geo-referenced data, producing mosaics, generation of precipitation masks, non-precipitation mask, and classification masks in general, production of vertical cross sections and predetermined fly throughs, producing short term forecasting, prediction of specific weather phenomenon, correcting or adjusting rain gauge data as well as quantitative precipitation estimation, and combining other meteorological data to correct or adjust estimated rainfall accumulation gathered by dual-polarization radar.

Abstract: An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

Abstract: Methods and systems for providing a “Human over-the-loop” or HOTL processing of weather forecasts. A forecaster may create and manage polygonal Filters, Qualifiers and Blurbs (FBQ's) that can be used to adjust the forecast or describe the forecast for the spatial area circumscribed by the FBQ polygon. The filters are placed manually and act to constraint or modify the digital forecast data over some time range of hours or even days into the future. The filters act to limit the machine-sourced forecasts into acceptable or smart thresholds from unacceptable or un-wise thresholds. HOTL is a Forecast on Demand system that delivers voluminous and rapidly changing forecast guidance that flows unimpeded to outward facing publication platforms and is instantly available to end users and consumers.

Abstract: The DYNAMIC TURBULENCE ENGINE CONTROLLER APPARATUSES, METHODS AND SYSTEMS (“DTEC”) transform weather, terrain, and flight parameter data via DTEC components into turbulence avoidance optimized flight plans. In one implementation, the DTEC comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain terrain data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DTEC may then determine a non-dimensional mountain wave amplitude and mountain top wave drag, an upper level non-dimensional gravity wave amplitude, and a buoyant turbulent kinetic energy.

Abstract: The DYNAMIC AIRCRAFT THREAT CONTROLLER MANAGER APPARATUSES, METHODS AND SYSTEMS (“DATCM”) transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via DATCM components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the DATCM comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DATCM may then determine comprehensive hazards mappings.

Abstract: The DYNAMIC TURBULENCE ENGINE CONTROLLER APPARATUSES, METHODS AND SYSTEMS (“DTEC”) transform weather, terrain, and flight parameter data via DTEC components into turbulence avoidance optimized flight plans. In one implementation, the DTEC comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain terrain data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DTEC may then determine a non-dimensional mountain wave amplitude and mountain top wave drag, an upper level non-dimensional gravity wave amplitude, and a buoyant turbulent kinetic energy.

Abstract: The DYNAMIC AIRCRAFT THREAT CONTROLLER MANAGER APPARATUSES, METHODS AND SYSTEMS (“DATCM”) transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via DATCM components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the DATCM comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DATCM may then determine comprehensive hazards mappings.

Abstract: The DYNAMIC STORM ENVIRONMENT ENGINE (DSEE) transforms flight profiles, atmospheric data, and convective and non-convective turbulence predictions and observations into dynamic turbulence alerts, nowcasts, and optimized flight paths. The DSEE determines four-dimensional grid points for a temporal geographic area and determines atmospheric potential instability and potential turbulence intensity at each grid point. The DSEE masks potential turbulence intensity at least one grid point and determines and outputs at least one of the TKE and the total EDR for each grid point. In some implementations, the DSEE receives a flight profile for an aircraft, including an initial route.

Abstract: The DYNAMIC TURBULENCE ENGINE CONTROLLER APPARATUSES, METHODS AND SYSTEMS (“DTEC”) transform weather, terrain, and flight parameter data via DTEC components into turbulence avoidance optimized flight plans. In one implementation, the DTEC comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain terrain data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DTEC may then determine a non-dimensional mountain wave amplitude and mountain top wave drag, an upper level non-dimensional gravity wave amplitude, and a buoyant turbulent kinetic energy.

Abstract: The DYNAMIC AIRCRAFT THREAT CONTROLLER MANAGER APPARATUSES, METHODS AND SYSTEMS (“DATCM”) transforms flight profile information, terrain, weather/atmospheric data and flight parameter data via DATCM components into comprehensive hazard avoidance optimized flight plans. Comprehensive hazard avoidance includes synergistic comprehensive turbulence and airfoil-specific icing data. In one implementation, the DATCM comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The DATCM may then determine comprehensive hazards mappings.

Abstract: The AIRFOIL ICING CONTROLLER APPARATUSES, METHODS AND SYSTEMS (“AIC”) transforms weather and flight parameter data via AIC components into icing determinations and icing avoidance optimized flight plans based on airfoil type. In one implementation, the AIC comprises a processor and a memory disposed in communication with the processor and storing processor-issuable instructions to receive anticipated flight plan parameter data, obtain weather data based on the flight plan parameter data, obtain atmospheric data based on the flight plan parameter data, and determine a plurality of four-dimensional grid points based on the flight plan parameter data. The AIC may then determine a percent power increase (PPI) required by the aircraft to overcome power loss due to icing conditions.