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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/465ERU8
Repositorysid.inpe.br/mtc-m21d/2022/01.04.18.10   (restricted access)
Last Update2022:01.04.18.10.02 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/01.04.18.10.02
Metadata Last Update2023:01.03.16.46.00 (UTC) administrator
DOI10.1016/j.agrformet.2021.108723
ISSN0168-1923
Citation KeySchumacherSeSaNaMaJu:2022:ChLiWi
TitleCharacteristics of lightning-caused wildfires in central Brazil in relation to cloud-ground and dry lightning
Year2022
MonthJan.
Access Date2024, May 28
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size13789 KiB
2. Context
Author1 Schumacher, Vanúcia
2 Setzer, Alberto Waingort
3 Saba, Marcelo Magalhães Fares
4 Naccarato, Kleber Pinheiro
5 Mattos, Enrique
6 Justino, Flávio
Resume Identifier1
2 8JMKD3MGP5W/3C9JGGG
3 8JMKD3MGP5W/3C9JHP6
Group1 DISSM-CGCT-INPE-MCTI-GOV-BR
2 DISSM-CGCT-INPE-MCTI-GOV-BR
3 DIIAV-CGCT-INPE-MCTI-GOV-BR
4 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade Federal de Itajubá (UNIFEI)
6 Universidade Federal de Viçosa (UFV)
Author e-Mail Address1 vanucia-schumacher@hotmail.com
2 alberto.setzer@inpe.br
3 marcelosaba@gmail.com
4 kleber.naccarato@inpe.br
JournalAgricultural and Forest Meteorology
Volume312
Pagese108723
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_III A1_ENGENHARIAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_CIÊNCIAS_BIOLÓGICAS_I B2_ASTRONOMIA_/_FÍSICA
History (UTC)2022-01-04 18:10:02 :: simone -> administrator ::
2022-01-04 18:10:03 :: administrator -> simone :: 2022
2022-01-04 18:11:04 :: simone -> administrator :: 2022
2023-01-03 16:46:00 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsDry lightning
Lightning
Natural wildfires
Remote sensing
AbstractLightning ignition is the major cause of natural wildfires in several regions worldwide. Determining if wildfires in remote uncontrolled areas result from natural lightning as opposed to anthropic action is a relevant and yet-unsolved challenge for large regions of the planet, with scientific and management implications ranging from environmental conservation to mitigation of climate-related emissions of gases and aerosols. Brazil is the country with one of the highest occurrences of lightning (50 to 100 million/year) and which is also subject to numerous and vast wildfires (up to ∼600 × 103 km2/year) affecting all its biomes. To quantify natural fires we combined cloud-to-ground (CG) lightning and CG dry-lightning (CGDL) detected by a ground network, with fire pixels mapped by satellite remote sensing (AQUA, S-NPP and NOAA-20) over ∼1,8 × 106 km2 in Central Brazil, between 2015 to 2019. Lightning ignition candidates were selected based on the distance between fires and lightning in time and space. The selected cases were investigated according to annual and monthly distributions in space and time, to local weather at the time of occurrence and, electrical characteristics related to ignition. Space-time distributions of CG lightning, CGDL and of active fires were also analyzed. Results showed that the CGDLs pattern is not different from that of the overall CG lightning, with both presenting similar kernel density, polarity and peak current. The lightning candidates indicated predominance of negative polarity and peak current frequency below 20 kA. In this range, average values for weather conditions for CG lightning matched to fires (CGDL matched to fires) had: precipitation 6 mm (< 1 mm), relative humidity 57 % (48 %), and temperature ∼30°C and wind speed of ∼ 2 m.s−1 for both. The results showed that satellite detection of active fires is a useful tool to identify lightning-induced wildfires.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Characteristics of lightning-caused...
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4. Conditions of access and use
Languageen
Target Fileschumacher_characteristics.pdf
User Groupsimone
Reader Groupadministrator
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Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2022/04.03.22.23 4
sid.inpe.br/mtc-m21/2012/07.13.14.39.32 2
sid.inpe.br/mtc-m21/2012/07.13.14.54.40 1
DisseminationWEBSCI; PORTALCAPES.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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