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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/489ANQH
Repositorysid.inpe.br/mtc-m21d/2022/12.26.13.46
Last Update2022:12.26.13.46.21 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/12.26.13.46.21
Metadata Last Update2022:12.31.09.23.33 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyCamargoMurDosNacMor:2022:LiEvSi
TitleLightning events simulation budgeting for the raiosat payload on-board computer
Year2022
Access Date2024, May 26
Secondary TypePRE CI
Number of Files1
Size677 KiB
2. Context
Author1 Camargo, Lázaro Aparecido Pires de
2 Murcia Pineros, Jhonathan O.
3 Dos Santos, Walter Abrahão
4 Naccarato, Kleber Pinheiro
5 Moraes, Rodolpho V. de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJC2
Group1 CSE-ETES-DIPGR-INPE-MCTI-GOV-BR
2
3 DIPST-CGCE-INPE-MCTI-GOV-BR
4 DISSM-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal de São Paulo (UNIFESP)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal de São Paulo (UNIFESP)
Author e-Mail Address1 lazaro.camargo@gmail.com
2 jhonathan.pineros@unifesp.br
3 walter.abrahao@inpe.br
4 kleber.naccarato@inpe.br
Conference NameIAA Latin American CubeSat Workshop, 5
Conference LocationBrasília, DF
Date07-10 nov. 2022
PublisherAIAA
Book TitleProceedings
History (UTC)2022-12-26 13:46:21 :: simone -> administrator ::
2022-12-31 09:23:33 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsRaioSat
lightning flash simulation
Monte Carlo simulation
small
satellites
AbstractExtreme weather events are increasingly common in Brazilian territory, and to assist in the study and generation of meteorological forecast models, the monitoring of lightning occurrences becomes extremely important. The Atmospheric Electricity (ELAT) group of the Earth System Science Center (CCST) proposed the Cubesat RaioSat mission, to assist the existing ground network for monitoring lightning occurrences. The RaioSat mission will have, as a space segment, a CubeSat of three units (3U) with a mass of 6 kg and dimensions of 10 x 10 x 30 cm, with an on-board computer and an attitude control system to meet the requirements for imaging rays and having the following payloads: Camera in the IR range (infrared) with sensor and an optical filter, a GPS (Global Positioning System) for low orbit applications, VHF (Very High Frequency) receiver of the SDR (Software Defined Radio) type operating in the 80 - 200 MHz band, to record the electromagnetic signatures and validate the lightning detections performed by the IR camera. The objective of this work is to present a simulation of lightning events for estimating requirements to the RaioSat payload on-board computer. The methodology is to implement Monte Carlo simulations, where the random input variables are the location of the storms, the size, and duration, and the number of lightning generated, and to verify if the satellite sensor can observe the phenomenon. First, the orbit of the nanosatellite RaioSat will be simulated. Next, the coverage region of the RaioSat mission will be defined, to calculate the limits of the regions of interest. For mesh usage, the inputs are the GIS of Brazil and the mesh size, and the output is the node, latitude, and longitude. Then, to simulate the occurrence of lightning, the Monte Carlo method will be used, first using pseudo-random, then generating the storms (latitude, longitude, elliptical size, duration, and severity), and the occurrence of lightning events (latitude, longitude, and intensity). Finally, the sensor coverage of the RaioSat mission will be simulated, initializing the Field Of View of the camera (footprint), and the intersections of the sensor footprint with the simulated lightning events. In the future, the Monte Carlo method will be changed to a Machine Learning model, to develop an application like EGSE for the RaioSat mission.
AreaETES
ArrangementFonds > Produção a partir de 2021 > CGCT > Lightning events simulation...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/489ANQH
zipped data URLhttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/489ANQH
Languageen
Target Filelazaro_lightning.pdf
User Groupsimone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2021/06.04.03.40.25
Next Higher Units8JMKD3MGPCW/3F35BSP
8JMKD3MGPCW/46KTFK8
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.01.48 2
sid.inpe.br/bibdigital/2013/10.14.22.20 1
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Description control
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