CN115600070B - Method for predicting polar orbit satellite encountering polar photoelectrons - Google Patents

Method for predicting polar orbit satellite encountering polar photoelectrons Download PDF

Info

Publication number
CN115600070B
CN115600070B CN202211262559.2A CN202211262559A CN115600070B CN 115600070 B CN115600070 B CN 115600070B CN 202211262559 A CN202211262559 A CN 202211262559A CN 115600070 B CN115600070 B CN 115600070B
Authority
CN
China
Prior art keywords
polar
satellite
orbit
geomagnetic
orbit 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.)
Active
Application number
CN202211262559.2A
Other languages
Chinese (zh)
Other versions
CN115600070A (en
Inventor
呼延奇
修志杰
左平兵
沈自才
曲少杰
张志平
李佳英
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Institute of Spacecraft System Engineering
Shenzhen Graduate School Harbin Institute of Technology
Original Assignee
Beijing Institute of Spacecraft System Engineering
Shenzhen Graduate School Harbin Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Institute of Spacecraft System Engineering, Shenzhen Graduate School Harbin Institute of Technology filed Critical Beijing Institute of Spacecraft System Engineering
Priority to CN202211262559.2A priority Critical patent/CN115600070B/en
Publication of CN115600070A publication Critical patent/CN115600070A/en
Application granted granted Critical
Publication of CN115600070B publication Critical patent/CN115600070B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Databases & Information Systems (AREA)
  • Algebra (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Primary Health Care (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Measurement Of Radiation (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method for indicating that polar orbit satellites encounter polar photoelectrons, which comprises the following steps: calculating the geographic coordinates of the in-orbit running space position of the polar orbit satellite according to a fixed time interval; converting the space position geographic coordinates of the polar orbit satellite into geomagnetic coordinates; inputting a geomagnetic activity Kp index based on the polar band boundary model, and determining polar and equatorial boundaries of a polar band region; and determining the orbit position of the polar orbit satellite in the polar light band area based on the geomagnetic coordinates and the polar light band area of the polar orbit satellite to obtain the longest duration time of the polar orbit satellite in the polar light band area and the probability of the polar orbit satellite encountering polar light electrons. The invention can realize the rapid analysis of the space position, duration and encounter probability of the polar light electrons encountered by the near-earth polar orbit satellite under different geomagnetic activity conditions, and provides a basis for evaluating the charging and discharging risks of the polar orbit satellite.

Description

Method for predicting polar orbit satellite encountering polar photoelectrons
Technical Field
The invention relates to the technical field of polar orbit satellites, in particular to a method for predicting polar orbit satellites encountering polar photoelectrons.
Background
Aurora is a phenomenon that magnetic layer particles enter the atmosphere to excite the atmosphere to emit light, and can be clearly seen in an aurora photo shot by a satellite, and the aurora appears in an oval strip surrounding a ground magnetic pole and is called as an aurora strip. The polar light band is about 20 degrees from the earth magnetic pole and slightly moves to one side of night, wherein the polar light is most frequently appeared near the night and the intensity is also the maximum. In the south and north polar regions, the south light and the north light with similar forms and similar evolution processes can be observed at the same time, which is a conjugate polar light phenomenon excited by magnetic layer particles respectively settling to the south and north polar regions along the same magnetic line.
The precipitation particles (especially electrons) causing aurora can act on the surface of a satellite operating in a near earth polar orbit, and bring the risk of surface charge-discharge effect.
On low earth orbits, solar ultraviolet radiation can ionize oxygen and nitrogen atoms in the earth's neutral atmosphere, forming a plasma. Since the plasma on the LEO orbit is mainly derived from the ionization effect of solar ultraviolet radiation, the plasma density varies with the solar activity and the time. Normally, the cold plasma of ionized layer on LEO orbit does not generally cause serious satellite charging problem, but during geomagnetic activity, hot plasma of keV magnitude injected from magnetic tail can be injected along the earth magnetic line to very low height in polar region, and the satellite in near earth orbit may encounter the hot plasma, especially the electrons therein may cause serious charging problem to the satellite. Data of a DMSP (a DMSP orbit is about 840km and an inclination angle of 99 degrees) of a current American national defense meteorological satellite running in a near earth polar orbit actually measured shows that the energy of aurora sedimentation electrons possibly encountered in a bipolar polar band region (55 degrees to 75 degrees of geomagnetic latitude) can reach several keV magnitude. It should be noted that the flux of the aurora-precipitating electrons may significantly exceed the GEO orbit due to the convergence of the magnetic lines of the earth's two poles.
At present, in the field of engineering application, a predictive method for the position and duration of an aurora sedimentation electron possibly encountered by a polar orbit satellite in a dipolar region is lacked.
Disclosure of Invention
In view of the above problems in the prior art, the present invention provides a method for predicting that a polar orbiting satellite encounters an aurora.
The invention discloses a method for indicating that polar orbit satellites encounter polar photoelectrons, which comprises the following steps:
calculating the geographic coordinates of the in-orbit running space position of the polar orbit satellite according to a fixed time interval;
converting the space position geographic coordinates of the polar orbit satellite into geomagnetic coordinates;
inputting a geomagnetic activity Kp index based on the polar band boundary model, and determining polar and equatorial boundaries of a polar band region;
determining the orbit position of the polar orbit satellite in the polar light band based on the geomagnetic coordinates and the polar light band area coordinates of the polar orbit satellite, and counting the longest duration time of the polar orbit satellite in the polar light band and the probability of the polar orbit satellite encountering polar light electrons.
As a further improvement of the present invention, the calculating the geographic coordinates of the spatial position of the orbiting of the polar orbiting satellite comprises:
acquiring orbit parameters of a polar orbit satellite; wherein the orbit parameters include a perigee height, a apogee height, and an inclination angle;
inputting the orbit parameters of the polar orbit satellite into an SGP4 orbit calculation program, and outputting the geographic coordinates of the spatial positions of the polar orbit satellite at different moments on the orbit according to a fixed time interval; wherein the spatial location geographic coordinates include longitude, latitude, and altitude; preferably, the fixed time interval is 60s, and 1440 geospatial points of the spatial position of the polar orbiting satellite on the orbit are output one day.
As a further improvement of the present invention, the converting the spatial position geographical coordinates of the polar orbit satellite into geomagnetic coordinates includes:
converting the space position geographic coordinates of the polar orbit satellite into geomagnetic coordinates adopted by a polar light band model based on a geomagnetic coordinate calculation program to obtain magnetic geotime information of the polar orbit satellite in a geomagnetic coordinate system; preferably, the geomagnetic coordinate points of the 1440 polar satellites can be obtained by conversion on a geomagnetic coordinate system.
As a further improvement of the invention, the calculation formula of the polar direction and equatorial direction boundary of the auroral zone region is as follows:
θ m =A 0m +A 1m cos[15(t+α 1m )]+A 2m cos[15(2t+α 2m )]+A 3m cos[15(3t+α 3m )]
Figure BDA0003891781820000031
AL=18-12.3Kp+27.2Kp 2 -2Kp 3
wherein m =0 or 1, respectively corresponding to the polar and equatorial directions; theta m As the polar or equatorial boundary of the magnetic latitude, i.e. theta 0 The magnetic latitude of the polar boundary of the polar band region theta 1 The magnetic latitude is the equatorial direction boundary geomagnetic latitude of the aurora zone region; when t is a magnetic ground, A im And alpha im Respectively representing the amplitude of the magnetic latitude and the phase in decimal hours, coefficient A of the equation im And alpha im Is a third order polynomial of AL exponent, i is 0-3, representing the order, for each A im And alpha im All have a series of coefficients b im The value is obtained. (ii) a The AL index is used for describing the geomagnetic disturbance intensity during the aurora activity, and can be calculated by a Kp index, wherein the range of the Kp index is 0 to 9,0 represents that the geomagnetic activity is quite calm, and 5 or more than 5 represents that the geomagnetic storm state exists; the Kp index is the average value of the maximum perturbation of the geomagnetic field horizontal component in 3 hours of the mid-latitude global range; the input geomagnetic Kp index can be selected according to actual requirements, if prediction of a certain future day (such as tomorrow) is required to be realized, a prediction value can be obtained by adopting the future geomagnetic Kp index, and polar and equatorial boundaries of an auroral zone region are determined based on the Kp index; if the worst case evaluation of the longest duration and probability of polar orbit satellite encountering aurora is required, the maximum value of the Kp index can be selected as an input parameter.
As a further improvement of the present invention, the method for calculating the longest duration of the polar orbiting satellite in the polar light zone region comprises:
counting continuous geomagnetic coordinate points of satellite space positions in a polar light band;
selecting a track section with the most continuous geomagnetic coordinate points in the satellite space position;
the total duration of the trajectory segment, i.e. the longest duration of the polar orbiting satellite in the polar band region, is determined based on a set fixed time interval (60 s).
As a further improvement of the present invention, the method for calculating the probability of encountering an aurora electron by a polar orbiting satellite comprises:
acquiring the number M of geomagnetic coordinate points of all spatial positions generated by a polar orbit satellite in one day;
counting all coordinate points N of polar orbit satellites in a day in an aurora zone region;
and calculating the probability P = N/M that the polar orbit satellite encounters the polar light electrons.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps of converting space position coordinates of polar orbit satellite orbits into geomagnetic coordinates of polar light band distribution by determining the positions of polar light band boundaries under different geomagnetic activity conditions; therefore, the space position, the duration and the encounter probability of the polar light electron encountered by the near-earth polar orbit satellite under different geomagnetic activity conditions can be quickly analyzed, and a basis is provided for evaluating the charging and discharging risks of the polar orbit satellite.
Drawings
FIG. 1 is a flow chart illustrating a method for predicting when a polar orbiting satellite encounters an aurora;
FIG. 2 is a diagram of polar band boundaries and polar orbiting satellite orbital sub-satellite points, in accordance with an embodiment of the present invention;
fig. 3 shows the polar band situation encountered by a polar orbiting satellite with Kp =5 according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The present invention will be described in further detail below with reference to the drawings, taking a 1100km/86.4 ° low earth orbit satellite as an example:
as shown in fig. 1, the present invention provides a method for predicting that an 1100km/86.4 ° low earth polar orbit satellite encounters an aurora, comprising:
step 1, acquiring orbit parameters such as a near-earth altitude, a far-earth altitude, an inclination angle and the like of a near-earth polar orbit satellite; and sequentially inputting the information into an SGP4 orbit calculation program to obtain longitude, latitude and altitude information corresponding to the spatial positions of the low earth polar orbit satellite on the orbit at different moments at a time interval of 60s.
Step 2, converting the spatial position geographical coordinates of the near-earth polar orbit satellite into geomagnetic coordinates by using a geomagnetic coordinate calculation program, namely obtaining magnetic geotemporal information of the near-earth polar orbit satellite in a geomagnetic coordinate system based on longitude, latitude and height information of the near-earth polar orbit satellite in the geographical coordinate system; in which 1440 polar satellites can be obtained in one day.
Step 3, calculating the polar direction and equatorial direction boundaries of the polar light band region under the condition of geomagnetic Kp index by using a polar light band boundary model provided by Starkov; wherein,
the geomagnetic parameter on which the polar band boundary model depends is an AL index, which describes the geomagnetic disturbance intensity during polar light activities; the AL index can be calculated from the Kp index, and is given by the formula:
AL=18-12.3Kp+27.2Kp 2 -2Kp 3
the polar band boundary θ (geomagnetic latitude) given by the model can be expressed as:
θ m =A 0m +A 1m cos[15(t+α 1m )]+A 2m cos[15(2t+α 2m )]+A 3m cos[15(3t+α 3n )]
wherein A is im And alpha im Respectively representing the amplitude of the magnetic latitude anywhere and the phase in decimal hours, t being the magnetic local time. m =0/1 corresponds to the polar and equatorial aurora boundaries, respectively. Coefficient A of the equation im And alpha im Third order polynomial for AL index:
Figure BDA0003891781820000051
for each A im And alpha im All have a series of coefficients b im A value; see table 1 for details.
TABLE 1
Figure BDA0003891781820000052
As shown in fig. 2, the sections formed by the upper and lower wavy lines (thick black dots) obtained by the present invention are polar light bands of the north and south poles, and the thin black dots are satellite orbit sub-satellite dots, which are 1440 sub-satellite dots in total. As shown in fig. 3, the satellite encounters a polar band condition under Kp =5, in the figure, 2 oval bands surround a polar band region, and the dot is a satellite orbital motion intersatellite point.
Step 4, determining the orbit position of the polar orbit satellite in the polar light band area based on the geomagnetic coordinates and the polar light band area of the polar orbit satellite to obtain the longest duration time of the polar orbit satellite in the polar light band area and the probability of the polar orbit satellite encountering polar light electrons;
specifically, the method comprises the following steps:
a method of calculating the maximum duration of a polar orbiting satellite in an aurora zone, comprising:
counting continuous geomagnetic coordinate points of the spatial position of the polar orbit satellite in the polar light band region;
selecting a track section with the most continuous geomagnetic coordinate points of the satellite space position;
the total duration of the trajectory segment, i.e. the longest duration of the polar orbiting satellite in the polar band region, is determined based on a set fixed time interval (60 s).
The method for calculating the probability of encountering polar light electrons by the polar orbit satellite comprises the following steps:
acquiring the number M of geomagnetic coordinate points of all spatial positions generated by a polar orbit satellite in one day;
counting all coordinate points N of polar orbit satellites in a day in an aurora zone region;
and calculating the probability P = N/M that the polar orbit satellite encounters the polar light electrons.
The longest duration that the polar satellite is located in the polar region and the probability that the polar satellite suffers from polar settlement electrons under different geomagnetic Kp conditions are shown in table 2:
TABLE 2
Maximum duration Probability of encountering extreme light band
Kp=0 4 minutes 3.9%
Kp=5 10 minutes 8.6%
Kp=9 10 minutes 10.3%
The invention has the advantages that:
the method comprises the steps of converting space position coordinates of a polar orbit satellite orbit into geomagnetic coordinates of polar band distribution by determining the positions of polar band boundaries under different geomagnetic activity conditions; based on the method, the space position, the duration and the encounter probability of the polar light electrons encountered by the near-earth polar orbit satellite under different geomagnetic activity conditions can be quickly analyzed, and a basis is provided for evaluating the charging and discharging risks of the polar orbit satellite.
The present invention has been described in terms of the preferred embodiment, and it is not intended to be limited to the embodiment. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. A method for predicting polar satellite encounter with polar photoelectrons, comprising:
calculating the geographic coordinates of the in-orbit running space position of the polar orbit satellite according to a fixed time interval;
converting the space position geographic coordinates of the polar orbit satellite into geomagnetic coordinates;
inputting a geomagnetic activity Kp index based on the polar band boundary model, and determining polar and equatorial boundaries of a polar band region;
and determining the orbit position of the polar orbit satellite in the polar light band area based on the geomagnetic coordinates and the polar light band area coordinates of the polar orbit satellite, and counting the longest duration time of the polar orbit satellite in the polar light band and the probability of the polar orbit satellite encountering polar light electrons.
2. The method of predicting when a polar orbiting satellite encounters an aurora electronic as in claim 1, wherein said calculating the geospatial position of the orbital motion of the polar orbiting satellite comprises:
acquiring the orbit parameters of the polar orbit satellite; wherein the orbit parameters include a perigee height, a apogee height, and an inclination angle;
inputting the orbit parameters of the polar orbit satellite into an SGP4 orbit calculation program, and outputting the spatial position geographical coordinates of the polar orbit satellite at different moments on the orbit according to a fixed time interval; wherein the spatial location geographic coordinates include longitude, latitude, and altitude.
3. A method of predicting exposure of a polar satellite to an aurora of claim 2, wherein the fixed time interval is 60s.
4. The method of predicting polar orbiting satellite encounter with polar photoelectrons of claim 1, wherein said converting the spatial position geographical coordinates of the polar orbiting satellite into geomagnetic coordinates comprises:
and converting the space position geographical coordinates of the polar orbit satellite into geomagnetic coordinates adopted by the polar light band model based on a geomagnetic coordinate calculation program to obtain magnetic geotime information of the polar orbit satellite in a geomagnetic coordinate system.
5. The method of predicting the encounter of a polar satellite with an aurora electron according to claim 1, wherein the polar and equatorial boundaries of the aurora zone are calculated by the formula:
θ m =A 0m +A 1m cos[15(t+α 1m )]+A 2m cos[15(2t+α 2m )]+A 3m cos[15(3t+α 3m )]
Figure FDA0003891781810000011
AL=18-12.3Kp+27.2Kp 2 -2Kp 3
wherein m =0 or 1, respectively corresponding to the polar and equatorial directions; theta.theta. m The magnetic latitude of the polar or equatorial boundary, A im And alpha im Respectively representing the amplitude of the satellite magnetic latitude and the phase represented by decimal hours, and when t is the magnetic place, i is 0-3 to represent the order; AL is the intensity of the geomagnetic disturbance for each A im And alpha im All have a series of coefficients b im The value is obtained.
6. The method of predicting the encounter of a polar satellite with an aurora of claim 1, wherein the method of calculating the longest duration that the polar satellite is in an aurora zone comprises:
counting continuous geomagnetic coordinate points of the space positions of polar orbit satellites in the polar light band region;
selecting a track section with the most continuous geomagnetic coordinate points in the satellite space position;
the total duration of the trajectory segment is determined based on a set fixed time interval, i.e., the longest duration of the polar orbiting satellite in the polar band region.
7. The method for predicting the polar orbiting satellite encountering an aurora electron according to claim 1, wherein the method for calculating the probability that the polar orbiting satellite encounters an aurora electron comprises:
acquiring the number M of geomagnetic coordinate points of all spatial positions generated by a polar orbit satellite in one day;
counting all coordinate points N in the polar light band region within one day;
and calculating the probability P = N/M that the polar orbit satellite encounters the polar light electrons.
CN202211262559.2A 2022-10-14 2022-10-14 Method for predicting polar orbit satellite encountering polar photoelectrons Active CN115600070B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211262559.2A CN115600070B (en) 2022-10-14 2022-10-14 Method for predicting polar orbit satellite encountering polar photoelectrons

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211262559.2A CN115600070B (en) 2022-10-14 2022-10-14 Method for predicting polar orbit satellite encountering polar photoelectrons

Publications (2)

Publication Number Publication Date
CN115600070A CN115600070A (en) 2023-01-13
CN115600070B true CN115600070B (en) 2023-03-28

Family

ID=84847047

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211262559.2A Active CN115600070B (en) 2022-10-14 2022-10-14 Method for predicting polar orbit satellite encountering polar photoelectrons

Country Status (1)

Country Link
CN (1) CN115600070B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118094370A (en) * 2024-01-18 2024-05-28 中科星图维天信科技股份有限公司 Method, device and equipment for calculating aurora ornamental index

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105118047A (en) * 2015-07-15 2015-12-02 陕西师范大学 Auroral oval boundary position prediction method based on interplanetary and geomagnetic parameters
CN111703593A (en) * 2020-06-28 2020-09-25 国家卫星气象中心(国家空间天气监测预警中心) Early warning method and early warning system for surface charging effect of geosynchronous orbit satellite

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7744037B2 (en) * 2007-04-11 2010-06-29 National Defense University Calculating method for deducing possibilities of all possible scenarios of satellite members in low earth satellite constellation
US9541673B2 (en) * 2014-05-12 2017-01-10 Korea Astronomy And Space Science Institute Space weather monitoring system for polar routes

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105118047A (en) * 2015-07-15 2015-12-02 陕西师范大学 Auroral oval boundary position prediction method based on interplanetary and geomagnetic parameters
CN111703593A (en) * 2020-06-28 2020-09-25 国家卫星气象中心(国家空间天气监测预警中心) Early warning method and early warning system for surface charging effect of geosynchronous orbit satellite

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
丁广兴 等.极光沉降粒子的远紫外辐射特性及探测方法研究.《中国博士学位论文全文数据库 基础科学辑》.2018,(第undefined期),A005-15. *
赵呈选 等.极光电子沉降下的极轨航天器尾区带电模拟.《中国物理学会第二十届全国静电学术会议论文集》.2015,第173-176页. *

Also Published As

Publication number Publication date
CN115600070A (en) 2023-01-13

Similar Documents

Publication Publication Date Title
Vickrey et al. The diurnal and latitudinal variation of auroral zone ionospheric conductivity
Yu et al. The global climatology of the intensity of the ionospheric sporadic E layer
Klimenko et al. The global morphology of the plasmaspheric electron content during Northern winter 2009 based on GPS/COSMIC observation and GSM TIP model results
Ganushkina et al. Space weather effects produced by the ring current particles
Yasyukevich et al. Winter anomaly in NmF2 and TEC: when and where it can occur
CN115600070B (en) Method for predicting polar orbit satellite encountering polar photoelectrons
Ho et al. Global ionospheric TEC variations during January 10, 1997 storm
Maruyama et al. Equinoctial asymmetry of a low-latitude ionosphere-thermosphere system and equatorial irregularities: evidence for meridional wind control
Sun et al. Global ionosphere map constructed by using total electron content from ground-based GNSS receiver and FORMOSAT-3/COSMIC GPS occultation experiment
Slinker et al. Comparison of global MHD simulations with AMIE simulations for the events of May 19–20, 1996
Liu et al. Multi-scale ionosphere responses to the May 2017 magnetic storm over the Asian sector
Luo et al. Sporadic E morphology based on COSMIC radio occultation data and its relationship with wind shear theory
Goldstein Observations of electrons at the lunar surface
Paul et al. Study of the low and mid-latitude ionospheric response to the geomagnetic storm of 20th December 2015
Nishino et al. Unusual ionospheric absorption characterizing energetic electron precipitation into the South Atlantic Magnetic Anomaly
Abe et al. Modeling African equatorial ionosphere using ordinary Kriging interpolation technique for GNSS applications
Reagan et al. The effects of energetic particle precipitation on the atmospheric electric circuit
Pavlov et al. Anomalous variations of NmF2 over the Argentine Islands: a statistical study
Moro et al. Correlation between the cosmic noise absorption calculated from the SARINET data and the energetic particles measured by MEPED: Simultaneous observations over SAMA region
Su et al. Modelling studies of the longitudinal variations in TEC at equatorial-anomaly latitudes
Scherliess et al. The USU-GAIM-FP data assimilation model for ionospheric specifications and forecasts
Maruyama E× B instability in the F-region at low-to midlatitudes
Hartman et al. Correlation of IRTAM and FPMU data confirming the application of IRTAM to support ISS Program safety
Schunk et al. USU global ionospheric data assimilation models
Bilitza et al. Progress in modeling the ionospheric peak and topside electron density

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
GR01 Patent grant
GR01 Patent grant