CN109444990A - A kind of Lightning Warning method based on weather satellite data - Google Patents

A kind of Lightning Warning method based on weather satellite data Download PDF

Info

Publication number
CN109444990A
CN109444990A CN201910029522.7A CN201910029522A CN109444990A CN 109444990 A CN109444990 A CN 109444990A CN 201910029522 A CN201910029522 A CN 201910029522A CN 109444990 A CN109444990 A CN 109444990A
Authority
CN
China
Prior art keywords
lightning
warning
black body
body temperature
temperature value
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.)
Pending
Application number
CN201910029522.7A
Other languages
Chinese (zh)
Inventor
卜俊伟
陈忠明
靳小兵
张远扬
余海蓉
张亮
张琨
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN201910029522.7A priority Critical patent/CN109444990A/en
Publication of CN109444990A publication Critical patent/CN109444990A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/10Devices for predicting weather conditions
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Environmental & Geological Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Geology (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
  • Environmental Sciences (AREA)
  • Alarm Systems (AREA)

Abstract

The Lightning Warning method based on weather satellite data that the present invention relates to a kind of, what is solved is the technical issues of influence by orographic factor and investigative range, the analysis and working process for passing through the meteorological data to moonscope by using the present invention, and establish the relationship between moonscope data and thunder and lightning generation, establish the Lightning Warning model based on moonscope product, utilize the thunder and lightning real-time monitoring data inspection Lightning Warning model, establish a suitable thunder and lightning method of inspection, and it tests the technical solution of optimization to the Early-warning Model, preferably resolve the problem, it can be used in Lightning Warning.

Description

A kind of Lightning Warning method based on weather satellite data
Technical field
The present invention relates to Lightning Warning fields, and in particular to a kind of Lightning Warning method based on weather satellite data.
Background technique
Thunder and lightning is the weather phenomenon for betiding one of atmosphere Transient Currents, high voltage, strong electromagnetic radiation, its production Life is that the current mankind are unable to control and prevent, its main feature is that discharge voltage is high, current amplitude is big, and variation is fast, and discharge time is short, Current waveform steepness is big.Its powerful electric current, red-hot high temperature, fierce shock wave, drastic change electromagnetic field and strong electricity The physical effects such as magnetic radiation make it instantaneously generate huge destruction.Lightning Disaster monitoring and warning is as public's weather forecast One of with the content of diastrous weather alarm, the level of lightning monitoring accuracy and early-warning and predicting service is improved, the people are related to The safety and whole society's expanding economy of life.
Generally use three kinds of methods for Lightning Warning at present: the first Lighting position machine method, this method mainly pass through Networking Lighting position machine is realized to thunder and lightning real-time monitoring, determines the following thunder and lightning according to the thunder and lightning drop point and Wind Data actually occurred The possible probability settled in an area and occurred.The method defect is to judge that the following lightening activity trend is pre- according to lightning monitoring fact Alert timeliness lag, and Lighting position machine detection efficient and detection accuracy are depended on, general lightening detection efficiency answers > 70%, detection Precision < 3km.However Sichuan Province's lightning detection network building time be 2005, actual detection efficiency<50%, detection accuracy> 5km.Since such method is too high to lightning detection network detection efficient and precision dependence in early warning timeliness and accuracy, have Larger defect, Lightning Warning rate of failing to report is too high, and without timeliness in advance.Second of atmospheric electric field threshold method: this method is logical One atmospheric electric field detector of installation in a certain Lightning Warning demand point is crossed, Air Close To The Earth Surface electrostatic field under various weather conditions is measured Intensity, polarity consecutive variations, while electric field change caused by periphery electrification cloud cluster and thunder discharge can be detected, pass through setting Atmospheric electric field threshold value reaches early warning.Such method needs first study this area's atmospheric electric field detector background value, then are arranged The anomalous variation atmospheric electric field threshold value of atmospheric electric field when thunder and lightning arriving is preceding or lightning occurs.The third Radar Data early warning: the party Method is that fact occurs in conjunction with lightning, data grid is revealed same lattice point field using data relevant to thunder and lightning in Radar Products, The early radar warning factor is determined using dosing method, obtains Lightning Warning index.
Existing early radar warning method is all made of ground weather observation data, exists by orographic factor and investigative range shadow It rings, the defect of early warning can not be carried out to the region other than plateau and knob and detection site.The present invention provides a kind of base In the Lightning Warning method of weather satellite data, with to solve the above technical problems.
Summary of the invention
It is influenced the technical problem to be solved by the present invention is to existing in the prior art by orographic factor and investigative range Technical problem.A kind of new Lightning Warning method based on weather satellite data is provided, it should the thunder and lightning based on weather satellite data Method for early warning has the characteristics that break through landform limitation.
In order to solve the above technical problems, the technical solution adopted is as follows:
A kind of Lightning Warning method based on weather satellite data, the Lightning Warning method based on weather satellite data Include:
Step 1, the meteorological satellite observational data of working process space-based observation establish warning data storehouse, real-time monitoring thunder and lightning The latitude and longitude coordinates and thunder and lightning time of origin of generation;
Step 2, when inquiring nearest apart from this thunder and lightning time of origin in warning data storehouse according to thunder and lightning time of origin The moonscope data at quarter, the latitude and longitude coordinates calculating occurred further according to thunder and lightning determine that the nearest meteorology of point, which occurs, apart from thunder and lightning defends Star observation point latitude and longitude coordinates, and it is defined as reference coordinate point, corresponding Black body temperature value T is inquired in warning data storehouse1
Step 3 defines time deviation t2-t1, according to the reference coordinate point after time deviation t2-t1 query time deviation Deviation Black body temperature value T2
Step 4 calculates rate of temperature change △ T=T2-T1/(△t);
Step 5, according to Black body temperature value T1, deviation Black body temperature value T2And to establish thunder and lightning pre- by rate of temperature change △ T Alert model;
Step 6, input weather satellite data verify to Lightning Warning model excellent with corresponding thunder and lightning generation data Change, the early warning accuracy rate for being repeated up to the output of Lightning Warning model reaches preset accuracy rate minimum.
The working principle of the invention: the present invention is built by the analysis and working process of the meteorological data to moonscope Relationship between vertical moonscope data and thunder and lightning generation, establishes the Lightning Warning model based on moonscope product, utilizes thunder The electric real-time monitoring data inspection Lightning Warning model, establishes a suitable thunder and lightning method of inspection, and to the Early-warning Model into Performing check optimization, can be used the optimization algorithms such as iteration, genetic optimization.System of the present invention utilizes meteorological satellite to Sichuan Province area Data carries out Lightning Warning index study, and achieves preferable early warning effect.
In above scheme, for optimization, further, a possibility that Lightning Warning result occurs according to thunder and lightning from small to large according to It is secondary to be divided into no early warning, yellow early warning, orange warning, red early warning.
Further, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, is defined Time deviation t2-t1 is 30 minutes, when corresponding rate of temperature change △ T=[0K, 5K], and it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 30 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 30 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Further, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, is defined Time deviation t2-t1 is 15 minutes, when corresponding rate of temperature change △ T=[0K, 5K], and it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 15 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 15 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Further, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, is defined Time deviation t2-t1 is 45 minutes, when corresponding rate of temperature change △ T=[0K, 5K], and it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 45 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 45 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Further, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, is defined Time deviation t2-t1 is 60 minutes, when corresponding rate of temperature change △ T=[0K, 5K], and it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 60 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 60 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Beneficial effects of the present invention: the meteorological satellite observational data that the present invention uses is space-based observation data, observes model Very big region can be covered by enclosing, and data control resolution ratio is up to 0.05 ° × 0.05 °.The present invention utilizes Sichuan Province 2009-2012 Year Meteorological Satellites and lightning monitoring data fact realize.With -2014 years 2013 thunder observation data in Sichuan Province As a result it is verified.2013 and 2014 strong thunder and lighting process is 6 total.Inspection result show red early warning region with it is orange pre- The total quantity that thunder and lightning occurs for police region domain accounts for 90% or more of sum, i.e. early warning accuracy rate is 90% or more.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1, the Lightning Warning method flow schematic diagram based on weather satellite data in embodiment 1.
Fig. 2 calculates the schematic diagram of reference coordinate point.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not used to limit The fixed present invention.
Embodiment 1
The Lightning Warning method based on weather satellite data that the present embodiment provides a kind of, such as Fig. 1 are described to be based on meteorological satellite The Lightning Warning method of data includes:
Step 1, the meteorological satellite observational data of working process space-based observation establish warning data storehouse, real-time monitoring thunder and lightning The latitude and longitude coordinates and thunder and lightning time of origin of generation;
Step 2, when inquiring nearest apart from this thunder and lightning time of origin in warning data storehouse according to thunder and lightning time of origin The moonscope data at quarter, the latitude and longitude coordinates calculating occurred further according to thunder and lightning determine that the nearest meteorology of point, which occurs, apart from thunder and lightning defends Star observation point latitude and longitude coordinates, and it is defined as reference coordinate point, corresponding Black body temperature value T is inquired in warning data storehouse1
Step 3 defines time deviation t2-t1, according to the reference coordinate point after time deviation t2-t1 query time deviation Deviation Black body temperature value T2
Step 4 calculates rate of temperature change △ T=T2-T1/(△t);
Step 5, according to Black body temperature value T1, deviation Black body temperature value T2And to establish thunder and lightning pre- by rate of temperature change △ T Alert model;
Step 6, input weather satellite data verify to Lightning Warning model excellent with corresponding thunder and lightning generation data Change, the early warning accuracy rate for being repeated up to the output of Lightning Warning model reaches preset accuracy rate minimum.
In the present embodiment, a possibility that Lightning Warning result can occur according to thunder and lightning, is divided into from small to large without pre- Police, yellow early warning, orange warning, red early warning.It is calculated in the present embodiment and determines a meteorological satellite nearest apart from thunder and lightning generation point Observation point latitude and longitude coordinates can be determined according to the method in Fig. 2.
Specifically, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2220K is below, when definition Between deviation t2-t1 be 30 minutes, when corresponding rate of temperature change △ T=[0K, 5K], it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 30 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 30 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Specifically, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2220K is below, when definition Between deviation t2-t1 be 15 minutes, when corresponding rate of temperature change △ T=[0K, 5K], it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 15 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 15 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Specifically, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2220K is below, when definition Between deviation t2-t1 be 45 minutes, when corresponding rate of temperature change △ T=[0K, 5K], it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 45 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 45 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
Specifically, in Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2220K is below, when definition Between deviation t2-t1 be 60 minutes, when corresponding rate of temperature change △ T=[0K, 5K], it is red pre- for defining Lightning Warning result It is alert;When corresponding rate of temperature change △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 60 points Clock, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is orange warning;Corresponding rate of temperature change When △ T > 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 60 minutes, right When rate of temperature change △ T=[5K, the 10K] answered, definition Lightning Warning result is yellow early warning.
As reporting is bigger, the number that Early-warning Model optimization needs is more.
Although the illustrative specific embodiment of the present invention is described above, in order to the technology of the art Personnel are it will be appreciated that the present invention, but the present invention is not limited only to the range of specific embodiment, to the common skill of the art For art personnel, as long as long as various change the attached claims limit and determine spirit and scope of the invention in, one The innovation and creation using present inventive concept are cut in the column of protection.

Claims (6)

1. a kind of Lightning Warning method based on weather satellite data, it is characterised in that: the thunder based on weather satellite data Electric method for early warning includes
Step 1, the meteorological satellite observational data of working process space-based observation establish warning data storehouse, and real-time monitoring thunder and lightning occurs Latitude and longitude coordinates and thunder and lightning time of origin;
Step 2 is inquired in warning data storehouse according to thunder and lightning time of origin apart from this thunder and lightning time of origin nearest moment Moonscope data, the latitude and longitude coordinates calculating occurred further according to thunder and lightning determine that the nearest meteorological satellite of point, which occurs, apart from thunder and lightning sees Measuring point latitude and longitude coordinates, and it is defined as reference coordinate point, corresponding Black body temperature value T is inquired in warning data storehouse1
Step 3 defines time deviation t2-t1, according to the inclined of the reference coordinate point after time deviation t2-t1 query time deviation Poor Black body temperature value T2
Step 4 calculates rate of temperature change △ T=T2-T1/(△t);
Step 5, according to Black body temperature value T1, deviation Black body temperature value T2And rate of temperature change △ T establishes Lightning Warning mould Type;
Step 6, input weather satellite data occur data with corresponding thunder and lightning and carry out verifying optimization to Lightning Warning model, weight The multiple early warning accuracy rate exported up to Lightning Warning model reaches preset accuracy rate minimum.
2. the Lightning Warning method according to claim 1 based on weather satellite data, it is characterised in that: the thunder and lightning is pre- A possibility that alert result occurs according to thunder and lightning is divided into no early warning, yellow early warning, orange warning, red early warning from small to large.
3. the Lightning Warning method according to claim 2 based on weather satellite data, it is characterised in that: Lightning Warning mould In type, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, defining time deviation t2-t1 is 30 minutes, corresponding When rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is red early warning;Corresponding rate of temperature change △ T > 5K When, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 30 minutes, right When rate of temperature change △ T=[0K, the 5K] answered, definition Lightning Warning result is orange warning;Corresponding rate of temperature change △ T > When 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 30 minutes, corresponding When rate of temperature change △ T=[5K, 10K], definition Lightning Warning result is yellow early warning.
4. the Lightning Warning method according to claim 2 based on weather satellite data, it is characterised in that:
In Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, defines time deviation t2-t1 It is 15 minutes, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is red early warning;Corresponding temperature When change rate △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 15 minutes, right When rate of temperature change △ T=[0K, the 5K] answered, definition Lightning Warning result is orange warning;Corresponding rate of temperature change △ T > When 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 15 minutes, corresponding When rate of temperature change △ T=[5K, 10K], definition Lightning Warning result is yellow early warning.
5. the Lightning Warning method according to claim 2 based on weather satellite data, it is characterised in that:
In Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, defines time deviation t2-t1 It is 45 minutes, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is red early warning;Corresponding temperature When change rate △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 45 minutes, right When rate of temperature change △ T=[0K, the 5K] answered, definition Lightning Warning result is orange warning;Corresponding rate of temperature change △ T > When 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 45 minutes, corresponding When rate of temperature change △ T=[5K, 10K], definition Lightning Warning result is yellow early warning.
6. the Lightning Warning method according to claim 2 based on weather satellite data, it is characterised in that:
In Lightning Warning model, Black body temperature value T1, deviation Black body temperature value T2It is below 220K, defines time deviation t2-t1 It is 60 minutes, when corresponding rate of temperature change △ T=[0K, 5K], definition Lightning Warning result is red early warning;Corresponding temperature When change rate △ T > 5K, definition Lightning Warning result is orange warning;
Black body temperature value T1, deviation Black body temperature value T2At [220K, 239K], defining time deviation t2-t1 is 60 minutes, right When rate of temperature change △ T=[0K, the 5K] answered, definition Lightning Warning result is orange warning;Corresponding rate of temperature change △ T > When 5K, definition Lightning Warning result is red early warning;
Black body temperature value T1, deviation Black body temperature value T2More than 239K, defining time deviation t2-t1 is 60 minutes, corresponding When rate of temperature change △ T=[5K, 10K], definition Lightning Warning result is yellow early warning.
CN201910029522.7A 2019-01-13 2019-01-13 A kind of Lightning Warning method based on weather satellite data Pending CN109444990A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910029522.7A CN109444990A (en) 2019-01-13 2019-01-13 A kind of Lightning Warning method based on weather satellite data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910029522.7A CN109444990A (en) 2019-01-13 2019-01-13 A kind of Lightning Warning method based on weather satellite data

Publications (1)

Publication Number Publication Date
CN109444990A true CN109444990A (en) 2019-03-08

Family

ID=65544124

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910029522.7A Pending CN109444990A (en) 2019-01-13 2019-01-13 A kind of Lightning Warning method based on weather satellite data

Country Status (1)

Country Link
CN (1) CN109444990A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110889949A (en) * 2019-12-09 2020-03-17 国网湖南省电力有限公司 Power transmission line satellite monitoring data processing method and system based on layered GPU (graphics processing Unit) calculation

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106023177A (en) * 2016-05-14 2016-10-12 吉林大学 Thunderstorm cloud cluster identification method and system for meteorological satellite cloud picture
CN108427041A (en) * 2018-03-14 2018-08-21 南京中科九章信息技术有限公司 Lightning Warning method, system, electronic equipment and storage medium
US10613252B1 (en) * 2015-10-02 2020-04-07 Board Of Trustees Of The University Of Alabama, For And On Behalf Of The University Of Alabama In Huntsville Weather forecasting systems and methods

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10613252B1 (en) * 2015-10-02 2020-04-07 Board Of Trustees Of The University Of Alabama, For And On Behalf Of The University Of Alabama In Huntsville Weather forecasting systems and methods
CN106023177A (en) * 2016-05-14 2016-10-12 吉林大学 Thunderstorm cloud cluster identification method and system for meteorological satellite cloud picture
CN108427041A (en) * 2018-03-14 2018-08-21 南京中科九章信息技术有限公司 Lightning Warning method, system, electronic equipment and storage medium

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
卜俊伟: "2009 年四川夏季强雷电过程的气象卫星资料分析", 《2009 年四川夏季强雷电过程的气象卫星资料分析 *
卜俊伟: "浅析云顶亮温值与雷电预警的关联性", 《浅析云顶亮温值与雷电预警的关联性 *
张义军: "雷电研究的回顾和进展", 《雷电研究的回顾和进展 *
张春龙: "气象卫星和气象雷达观测资料在雷电监测预警中的应用研究", 《气象卫星和气象雷达观测资料在雷电监测预警中的应用研究 *
郭洪源: "北京首都国际机场雷电监测预警系统应用分析", 《北京首都国际机场雷电监测预警系统应用分析 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110889949A (en) * 2019-12-09 2020-03-17 国网湖南省电力有限公司 Power transmission line satellite monitoring data processing method and system based on layered GPU (graphics processing Unit) calculation

Similar Documents

Publication Publication Date Title
CN108957595B (en) Lightning forecasting method and system
Cummins et al. The US National Lightning Detection Network/sup TM/and applications of cloud-to-ground lightning data by electric power utilities
JP2019164158A (en) Severe weather possibility prediction
CN102590651B (en) Measured lightning data-based transmission line failure probability evaluation method
CN103106764A (en) Electric transmission line corridor fire condition detection system based on satellite remote sensing
CN106157540B (en) A kind of Lightning Warning and thundercloud trajectory predictions method based on Lightning Warning system
CN110633818B (en) Distribution network typhoon wind disaster early warning method and system
CN102426301B (en) Early warning method of overhead transmission line lightning strike flashover
CN104504616A (en) Positioning method for electric network equipment with operating risk based on GIS (geographic information system) and weather information
CN106019287A (en) Transmission line lightning monitoring and early warning method based on small radar
CN104951998A (en) Strong wind early warning modeling method and strong wind early warning modeling system based on power grid GIS (geographic information system)
CN107228652B (en) Photovoltaic grounding grid with subsidence alarm system
CN105116292A (en) Line lightning strike fault point locating method and system
CN109444990A (en) A kind of Lightning Warning method based on weather satellite data
CN104049284A (en) Lightning locating method based on particle swarm genetic mixed algorithm
CN110969798A (en) Power transmission line forest fire early warning method and system
CN113344735B (en) Disaster prevention and reduction monitoring and early warning system of power grid equipment
CN104050518B (en) Power grid convection disaster-causing strong wind early warning method based on Doppler weather radar
CN108828332A (en) A method of calculating lightning location system detection efficient
Lafkovici et al. Performance analysis of the north American lightning detection network using CN Tower lightning data
CN111222662A (en) Power grid typhoon flood disaster early warning method and device
Tao et al. Method of lightning warning based on atmospheric electric field and lightning location data
CN115656642A (en) Lightning early warning method and system based on petrochemical wharf
Xie et al. Extensions of power system early-warning defense schemes by integrating wide area meteorological information
CN106779274A (en) A kind of power equipment typhoon method for prewarning risk and system

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190308