CN114236642A - Networking type airway meteorological detection method based on satellite network - Google Patents
Networking type airway meteorological detection method based on satellite network Download PDFInfo
- Publication number
- CN114236642A CN114236642A CN202210000006.3A CN202210000006A CN114236642A CN 114236642 A CN114236642 A CN 114236642A CN 202210000006 A CN202210000006 A CN 202210000006A CN 114236642 A CN114236642 A CN 114236642A
- Authority
- CN
- China
- Prior art keywords
- weather
- data
- meteorological
- airplane
- satellite
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/08—Adaptations of balloons, missiles, or aircraft for meteorological purposes; Radiosondes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
- G01S13/953—Radar or analogous systems specially adapted for specific applications for meteorological use mounted on aircraft
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
- G01W1/04—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed giving only separate indications of the variables measured
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Biodiversity & Conservation Biology (AREA)
- Aviation & Aerospace Engineering (AREA)
- Physics & Mathematics (AREA)
- Environmental Sciences (AREA)
- Ecology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Electromagnetism (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention discloses a network-based airway weather detection method based on a satellite network, belongs to the field of aeronautical weather, and mainly solves the problem that an aircraft-mounted weather radar cannot effectively detect clear-sky turbulent high-risk weather. The implementation scheme of the invention is as follows: the method comprises the steps that an airborne satellite terminal, a communication satellite and a satellite gateway station form a satellite network, the data of an airborne weather radar and an airborne weather sensor of each airplane are downloaded to an airborne weather center server on the ground in real time through the satellite network in the same route, the route weather detection software loaded on the server synthesizes the downloaded data and weather data from other sources to obtain a route weather detection result, the detection result is transmitted back to each airplane flying on the route in real time through the satellite network, and the detection result is displayed on a cockpit EFB. The invention adopts a networking mode to obtain real-time meteorological data of each airplane on the same route, particularly obtain the bumping amplitude data of the airplane, can effectively identify clear air turbulence and improve the flight safety level of the airplane.
Description
The technical field is as follows:
the invention belongs to the field of aviation meteorology, and particularly relates to a meteorology detection method which can be applied to aeronautical route meteorology detection, improve the accuracy of detection results and improve the flight safety level of civil aircrafts and navigation aircrafts.
Background art:
the current main means of civil aircraft and navigation aircraft for detecting the weather ahead in the flight process is an airborne weather radar which is in a single-machine type working mode. The airborne weather radar utilizes Doppler effect, is one of the most effective detection technologies at present, but is limited by the working principle of the airborne weather radar, and cannot effectively identify weather phenomena of non-moving solid detection targets, namely dangerous dry airflow phenomena, which are called Clear Air Turbulence (CAT) in meteorology. Clear air turbulence is caused by irregular flow of the atmosphere, and is mostly generated at the upper part of a troposphere and a stratosphere which are about 6000 meters, a rapid flow zone can be formed in the sky, the width can be different from dozens of kilometers to hundreds of kilometers, the rapid flow zone can cause the airplane to jolt rapidly, and the airplane can be out of control transiently in severe cases. Turbulence is extremely dangerous weather threatening aviation safety, and the aircraft-mounted meteorological radar is difficult to detect because the turbulence is not accompanied by obvious weather phenomena, so that the aircraft has great threat to the flight safety, and is called as an invisible killer of the aircraft.
The technology of airborne satellite communication based on the Ku frequency band and the Ka frequency band is mature, Ku frequency band or Ka frequency band airborne satellite terminal equipment is preassembled for some civil aircrafts before leaving factories, and some aircrafts are refitted after delivery, and about 210 civil aircrafts with airborne satellite terminal equipment are arranged for some 2021 years. Ka frequency band high-flux satellite Mizhong No. 16 transmitted in 12 th 4 th year in 2017 and Ku frequency band high-flux satellite Asia 6D transmitted in 9 th 7 th 2020 have been put into commercial operation successively and applied to aviation airborne communication. With the popularization of the Ku frequency band and Ka frequency band-based airborne satellite communication, a network basic condition is provided for solving the difficult problem of clear air turbulence weather detection.
The invention content is as follows:
the invention aims to provide a satellite network-based networking type airway weather detection method aiming at the defect of a single-machine type working mode of an airborne weather radar in weather detection, and the airway weather detection technology is upgraded from a single-machine type to a networking type, so that the problem of detection of high-risk weather such as clear air turbulence and the like is solved, and the flight safety level of civil aircrafts and navigation aircrafts is improved.
The networking type airway meteorological detection method based on the satellite network is characterized in that: the airborne weather radar data and weather sensor data of each aircraft flying on the air course are downloaded to the ground in real time through a satellite network, the data are concentrated and analyzed by air course weather detection software on the ground to obtain an accurate air course weather detection result, the result is transmitted back to the EFB of each aircraft on the air course in real time through the satellite network, and the flight unit adjusts the course accordingly.
The networking type airway meteorological detection method based on the satellite network comprises the following implementation scheme:
1. the existing equipment configuration of the airplane is fully utilized, the airborne weather radar is in airplane standard configuration, the EFB (electronic flight bag) is in cockpit standard configuration, and the airborne satellite terminal is pre-installed before leaving factory or modified after delivery;
2. the airborne satellite terminal, the communication satellite and the satellite gateway station form a satellite network, the communication satellite and the satellite gateway station are owned by a satellite operator, and the satellite operator provides commercial service of the satellite network;
3. an airborne meteorological sensor is additionally arranged outside an aircraft cabin, and aircraft icing data and aircraft bumping amplitude data can be obtained from the airborne meteorological sensor;
4. the icing data and the jolt amplitude data of the airborne weather sensor and the weather data such as the temperature, the pressure, the high-altitude wind, the relative humidity and the like collected by the airborne weather radar are downloaded to an aviation weather center server on the ground in real time through the satellite network, and the server gathers the real-time weather data which are transmitted to each airplane by going to the same route and being transmitted to each airplane;
5. the airway weather detection software loaded on the server carries out weather analysis on each airway based on the gathered airborne weather download data and other weather data obtained by the aviation weather center through a weather satellite and a ground weather radar, and comprehensively identifies various high-risk flight weathers, including lightning, hail, strong rainfall and turbulence above medium intensity, particularly clear air turbulence;
6. the airway weather detection software transmits airway weather detection results back to each aircraft on the airway in real time, the three-dimensional model is displayed on each aircraft cockpit EFB display screen, and the flight unit can see the three-dimensional shape of dangerous flight weather on the EFB display screen and accurately plan a flight path;
7. because the networking type airway meteorological detection method gathers the real-time airborne meteorological data of the airway going to and coming from the airplane, accurate and dynamically-changed detection results are obtained based on comprehensive, accurate and real-time airway meteorological data, and the flying unit can conveniently make scientific judgment and timely decision on course adjustment;
8. the network type airway meteorological detection method is suitable for being applied to airplanes with the flying height of more than 6000 meters, including civil aircrafts and navigation aircrafts, and the navigation aircrafts include business aircrafts and transport aircrafts.
The data of the airborne weather radar and the airborne weather sensor are downloaded to the aerial weather center server on the ground in real time under the satellite network supporting condition, and the data effectively make up the defects of weather satellites and ground weather radar data in terms of area coverage, timeliness and accuracy. The airway weather detection software loaded on the server downloads airborne weather data, combines weather satellite and ground weather radar data, obtains an airway weather detection result in the shortest time (second level) based on a professional weather analysis method and strong calculation support of a ground aeronautical weather center, and transmits the detection result back to an airplane cockpit EFB (electronic flight bag). The accuracy of the detection result of the method far exceeds the detection capability of an airborne weather radar, particularly the detection capability of Clear Air Turbulence (CAT), and the safety guarantee level is improved for dangerous weather flight.
Description of the drawings:
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a block diagram of an implementation of the present invention;
FIG. 3 is a schematic diagram of the data input and output of the airway weather detection software of the present invention.
The specific implementation mode is as follows:
embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a network-based airway weather detection method based on a satellite network includes the following steps: the data of the airborne weather radar and the weather sensor of each airplane flying on the air path are downloaded to the ground in real time through the satellite network, the data are concentrated and analyzed by the air path weather detection software on the ground to obtain an accurate air path weather detection result, the result is transmitted back to the EFB (electronic flight bag) of each airplane on the air path in real time through the satellite network, and the flight unit adjusts the course accordingly.
Referring to fig. 2, an embodiment of a method for online airway weather detection based on a satellite network includes the following components: the system comprises an airborne weather radar 2, an airborne weather sensor 3, an EFB 4 and an airborne satellite terminal 5 which are positioned on an airplane 1, an airborne weather radar 7, an airborne weather sensor 8, an EFB 9 and an airborne satellite terminal 10 which are positioned on an airplane 6, a communication satellite 11 positioned on an earth static orbit, a satellite gateway station 12 positioned on the ground, a server 14 positioned on an aeronautical weather center 13 and airway weather detection software 15 loaded on the server 14.
A network-based airway meteorological detection method based on a satellite network is disclosed, and the implementation scheme is as follows:
the communication satellite 11, the satellite gateway station 12 and the onboard satellite terminals 5 and 10 installed on the airplanes 1 and 6 and other airplanes not shown in the space view form a satellite network;
data from the on-board weather radar 2 and the on-board weather sensor 3 of the aircraft 1, data from the on-board weather radar 7 and the on-board weather sensor 8 of the aircraft 6, and weather data from other aircraft on the same route are downloaded to the server 14 of the aeronautical weather center 13 on the ground through the satellite network, and the airline weather detection software 15 loaded on the server 14 integrates the downloaded data and weather data from other sources to obtain an airline weather detection result, and the detection result is transmitted back to the aircraft 1 and the aircraft 6 flying on the route through the satellite network and displayed on the EFB 4 of the aircraft 1 and the EFB 9 of the aircraft 6;
the airborne satellite terminal 5 and the airborne satellite terminal 10 are mature avionic equipment, and the airplane is delivered from factory and preassembled or modified after delivery;
the communication satellite 11 is located in a static orbit of the earth and is 36000 kilometers away from the equator of the earth, and is owned and operated by a satellite operator;
the satellite gateway station 12 is located on the ground and owned and operated by a satellite operator;
the server 14 is located at the aeronautical meteorological center 13;
the aeronautical meteorological detection software 15 is loaded on the server 14;
an airborne weather radar 2, an airborne weather sensor 3 and an EFB 4 of the airplane 1 are connected to an airborne satellite terminal 5 through an on-board network;
similarly, an airborne weather radar 7, an airborne weather sensor 8 and an EFB 9 of the airplane 6 are connected to an airborne satellite terminal 10 through an on-board network;
the satellite gateway station 12 is connected with the aeronautical meteorological center 13 by a ground special line;
the weather detection result obtained by the aircraft 1 in high-speed flight is based on the data of the onboard weather radar 2 and the onboard weather sensor 3, the data of the onboard weather radar 7 and the onboard weather sensor 8 coming to the aircraft 6, the onboard weather radar data of the aircraft 6 is out of the detection range of the aircraft 1, and the icing data and the bumping data of the aircraft 6 are data which cannot be detected by the onboard weather radar.
Only two airplanes are drawn in space figure 1, the detection result of the airplane 1 in practical application is based on all airplanes on the same forward route of the air route and data from all airplanes, and the airplanes 6 are the same in principle, so that the meteorological data coverage is large, and because the icing data and the bumping data from the forward route and the coming airplanes are added, the shortage of airborne meteorological radar data is made up, the capability of detecting high-risk weather such as clear air turbulence and the like is obviously improved, and the flight safety level is greatly improved.
The data transmission path of this embodiment is as follows:
meteorological data of the airplane 1 flying at high speed is transmitted to a server 14 located in a ground aeronautical meteorological center 13 through a communication satellite 11 and a satellite gateway station 12;
similarly, the meteorological data of the airplane 6 in high-speed flight is transmitted to a server 14 located in a ground aviation meteorological center 13 through a communication satellite 11 and a satellite gateway station 12;
the airway meteorological detection software 15 loaded on the server 14 downloads data from each aircraft in two directions (incoming direction and outgoing direction) of the airway, and obtains an airway meteorological detection result after comprehensive analysis by combining meteorological satellite and ground meteorological radar data;
the airway weather detection software 15 transmits the results back to the aircraft 1, the aircraft 6 and the rest of the airways via the satellite gateway 12 and the communication satellite 11, and displays the results in a three-dimensional structure on the display screen of the aircraft EFB.
Referring to FIG. 3, the airway weather detection software data inputs and outputs are as follows:
the data input sources are:
airborne weather radar data and airborne weather sensor data for all aircraft (e.g., A, B, …, Z) of airway 1;
on-board weather radar data and on-board weather sensor data for all aircraft (e.g., A, B, …, Z) on airway N;
weather satellite data;
ground weather radar data.
And obtaining an airway meteorological detection result for each airway, transmitting the detection result back to each aircraft of the airway in real time, and displaying the detection result on the cockpit EFB.
The detection result return targets include:
fairway N aircraft A, fairway N aircraft B, …, fairway N aircraft Z.
The above examples are only for illustrating the present invention and are not intended to limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications can be made without departing from the principles of the invention and these modifications are to be considered within the scope of the invention.
Claims (6)
1. A network-based airway meteorological detection method based on a satellite network is characterized in that:
the implementation scheme is as follows: the method comprises the following steps that an airborne satellite terminal, a communication satellite and a satellite gateway station form a satellite network, the data of an airborne weather radar and an airborne weather sensor of each airplane are downloaded to an airborne weather center server on the ground in real time through the satellite network on the same route, the route weather detection software loaded on the server synthesizes the downloaded data and weather data from other sources to obtain a route weather detection result, the detection result is transmitted back to each airplane flying on the route in real time through the satellite network, and the detection result is displayed on a cockpit EFB of each airplane;
the airborne weather radar, the airborne weather sensor, the airborne satellite terminal and the EFB are positioned on the airplane;
the communication satellite is positioned in a static orbit of the earth and is about 36000 kilometers away from the equator of the earth;
the satellite gateway station, the server and the airway meteorological detection software loaded on the server are located on the ground.
2. The satellite network-based networking-type airway meteorological detection method according to claim 1, characterized in that:
the server is located on the ground and simultaneously acquires airplanes on the air path, the airborne weather radar data and the airborne weather sensor data comprise temperature, pressure, high-altitude wind, relative humidity and the like, and the airborne weather sensor data comprise airplane icing data, airplane bumping amplitude data and the like.
3. The satellite network-based networking-type airway meteorological detection method according to claim 1, characterized in that:
the aeronautical meteorological detection software loaded on the server performs meteorological analysis on the down-transmitted meteorological data from the same aeronautical route to and from each airplane by combining with other data from meteorological satellites and ground meteorological radars, and the aeronautical meteorological data obtained by the aeronautical meteorological detection software comprises the temperature, pressure, high-altitude wind, relative humidity, icing and bumping amplitude data of the aeronautical meteorological data from the aeronautical meteorological detection software to the airplane and the aeronautical meteorological data from the aeronautical meteorological detection software to the airplane, so that the aeronautical meteorological data with high risk of clear air turbulence can be identified.
4. The satellite network-based networking-type airway meteorological detection method according to claim 1, characterized in that:
the server gathers real-time airborne meteorological data of the route going to and coming from the airplane, and an accurate and dynamically-changed detection result is obtained based on comprehensive, accurate and real-time route meteorological data.
5. The satellite network-based networking-type airway meteorological detection method according to claim 1, characterized in that:
the aeronautical route meteorological detection software returns the detection result to each airplane on the same aeronautical route through the satellite network, the detection result is displayed on each airplane cockpit EFB display screen in a three-dimensional structure, and the flight unit makes scientific judgment and timely decision on course adjustment according to the three-dimensional structure, so that the riding comfort of passengers can be improved, and the flight safety level is improved.
6. The satellite network-based networking-type airway meteorological detection method according to claim 1, characterized in that:
the aircraft is suitable for aircraft with the flying height of more than 6000 meters, including civil aircraft and navigation aircraft, and the navigation aircraft includes official business machines and transport planes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210000006.3A CN114236642A (en) | 2022-01-01 | 2022-01-01 | Networking type airway meteorological detection method based on satellite network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210000006.3A CN114236642A (en) | 2022-01-01 | 2022-01-01 | Networking type airway meteorological detection method based on satellite network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114236642A true CN114236642A (en) | 2022-03-25 |
Family
ID=80745633
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210000006.3A Withdrawn CN114236642A (en) | 2022-01-01 | 2022-01-01 | Networking type airway meteorological detection method based on satellite network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114236642A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116448189A (en) * | 2023-06-13 | 2023-07-18 | 北京神导科技股份有限公司 | Test equipment of supporting facility of flight command system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6044323A (en) * | 1997-10-20 | 2000-03-28 | Motorola, Inc. | Satellite based commercial and military intercity and intercontinental air traffic control |
| US20130079957A1 (en) * | 2011-09-23 | 2013-03-28 | Thales | Aerological Phenomena Alert Device for an Aircraft |
| CN103391428A (en) * | 2013-07-19 | 2013-11-13 | 中国民航大学 | Aviation meteorological image monitoring system based on multiple data links |
| UA106864U (en) * | 2015-11-11 | 2016-05-10 | Nat Aviation Univ | The system of preparation and dissemination of meteorological data |
| US9553658B1 (en) * | 2013-10-09 | 2017-01-24 | Satcom Direct, Inc. | Router for aircraft communications with simultaneous satellite connections |
| CN110278023A (en) * | 2019-06-10 | 2019-09-24 | 航科院（北京）科技发展有限公司 | A kind of application system and method based on vacant lot broadband connections |
| US10585189B1 (en) * | 2011-09-20 | 2020-03-10 | Rockwell Collins, Inc. | Sharing air data between aircraft for threat detection |
-
2022
- 2022-01-01 CN CN202210000006.3A patent/CN114236642A/en not_active Withdrawn
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6044323A (en) * | 1997-10-20 | 2000-03-28 | Motorola, Inc. | Satellite based commercial and military intercity and intercontinental air traffic control |
| US10585189B1 (en) * | 2011-09-20 | 2020-03-10 | Rockwell Collins, Inc. | Sharing air data between aircraft for threat detection |
| US20130079957A1 (en) * | 2011-09-23 | 2013-03-28 | Thales | Aerological Phenomena Alert Device for an Aircraft |
| CN103391428A (en) * | 2013-07-19 | 2013-11-13 | 中国民航大学 | Aviation meteorological image monitoring system based on multiple data links |
| US9553658B1 (en) * | 2013-10-09 | 2017-01-24 | Satcom Direct, Inc. | Router for aircraft communications with simultaneous satellite connections |
| UA106864U (en) * | 2015-11-11 | 2016-05-10 | Nat Aviation Univ | The system of preparation and dissemination of meteorological data |
| CN110278023A (en) * | 2019-06-10 | 2019-09-24 | 航科院（北京）科技发展有限公司 | A kind of application system and method based on vacant lot broadband connections |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116448189A (en) * | 2023-06-13 | 2023-07-18 | 北京神导科技股份有限公司 | Test equipment of supporting facility of flight command system |
| CN116448189B (en) * | 2023-06-13 | 2023-09-08 | 北京神导科技股份有限公司 | Test equipment of supporting facility of flight command system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gultepe et al. | A review of high impact weather for aviation meteorology | |
| US20200295821A1 (en) | Requesting weather data based on pre-selected events | |
| US7633428B1 (en) | Weather data aggregation and display system for airborne network of member aircraft | |
| EP3285247B1 (en) | Air traffic and weather data aggregating and de-conflicting | |
| US7027898B1 (en) | Weather information network including graphical display | |
| US20090326792A1 (en) | Method and system for increasing the degree of autonomy of an unmanned aircraft by utilizing meteorological data received from GPS dropsondes released from an unmanned aircraft to determine course and altitude corrections and an automated data management and decision support navigational system to make these navigational calculations and to correct the unmanned aircraft's flight path | |
| JP6818569B2 (en) | Meteorological information processing equipment, meteorological information processing method, program | |
| CN106033646A (en) | Air traffic control system based on Beidou short message function | |
| CN109613929B (en) | Flight precision approach and landing method and system | |
| EP4170385A1 (en) | Weather radar short-term forecast for in-flight cockpit displays | |
| CN114236642A (en) | Networking type airway meteorological detection method based on satellite network | |
| Daniels | Tropospheric airborne meteorological data reporting (TAMDAR) sensor development | |
| Jenamani et al. | Bad weather and aircraft accidents–global vis-à-vis Indian scenario | |
| US20220366795A1 (en) | Host aircraft with mobile device-based system for collecting and disseminating flight data | |
| Zhu et al. | UAV-based flight inspection system | |
| CN106444828A (en) | Small unmanned aerial vehicle ground station system based on LabView | |
| Sermi et al. | Aircraft hazard evaluation for critical weather avoidance | |
| CN116774319B (en) | Comprehensive meteorological guarantee system for stratospheric airship flight | |
| Kessinger et al. | The Remote Oceanic Meteorology Information Operational (ROMIO) Demonstration | |
| EP1330389A2 (en) | Weather information network including communication system | |
| Stough III et al. | Reducing aviation weather-related accidents through high-fidelity weather information distribution and presentation | |
| Yanovsky | Automated dependent surveillance: Aircraft position and weather data | |
| Krozel et al. | Detecting convective induced turbulence via total lightning sensing | |
| Team et al. | Remote Oceanic Meteorology Information Operational (ROMIO) Demonstration | |
| Hilsenrod | Committee on Icing Forecasts of the Aircraft Icing Specialists Workshop: 19–21 July 1978, Lewis Research Center, NASA, Cleveland, Ohio |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220325 |
|
| WW01 | Invention patent application withdrawn after publication |