%0 Journal Article
%@nexthigherunit 8JMKD3MGPCW/3ESGTTP
%@nexthigherunit 8JMKD3MGPCW/3EU29DP
%3 echer_variability.pdf
%4 sid.inpe.br/mtc-m21c/2019/02.07.11.07
%8 Feb.
%9 journal article
%@issn 0103-9733
%A Echer, Mariza Pereira de Souza,
%A Domingues, Margarete Oliveira,
%A Mendes, Odim,
%A Echer, Ezequiel,
%A Gonzalez Alarcon, Walter Demétrio,
%@secondarytype PRE PN
%B Brazilian Journal of Physics
%D 2019
%K Mars · Viking missions · Viking lander meteorological data · Continuous wavelet transform.
%@archivingpolicy denypublisher denyfinaldraft12
%N 1
%P 89-96
%@secondarymark B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS B1_ENGENHARIAS_IV B1_ENGENHARIAS_III B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B1_ASTRONOMIA_/_FÍSICA B2_ODONTOLOGIA B2_MATERIAIS B2_FARMÁCIA B2_ENGENHARIAS_II B2_ECONOMIA B2_CIÊNCIA_DA_COMPUTAÇÃO B3_MEDICINA_II B3_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B3_CIÊNCIAS_AMBIENTAIS B3_BIOTECNOLOGIA B4_QUÍMICA B4_ENSINO B4_CIÊNCIAS_BIOLÓGICAS_III B4_CIÊNCIAS_BIOLÓGICAS_II B4_CIÊNCIAS_BIOLÓGICAS_I
%T Variability aspects of the Mars surface data from summer to winter solstice: Viking Lander 1 observations revisited
%V 49
%X In this work, we revisited the meteorological datasets of temperature and pressure, recorded onboard the Viking Lander 1, evolving from summer to winter Martian solstice. The datasets were provided by the Viking Meteorology Experiment Team and we performed the study using a multiscale signal analysis technique based on an available wavelet transform methodology. Even in the presence of data gaps, the methodology provides the skill to perform the time-scale signal characterization. We highlighted the results with new features related to the non-stationary behavior in the data. The main spectral periods found in pressure data are 0.25 SOL (6.25 h), 0.33 SOL (8.3 h), 0.5 SOL (12.5 h), 1 SOL (25 h), 10.2 SOLS, a broad peak between 21 and 33 SOLS. In temperature, the main periods were 0.5 SOL (12.5 h), 1 SOL (25 h), and 32 and 64 SOLS. The correlation between the pressure and temperature data shows anti-correlation in the scales larger than 1.5 SOL, with a high determination coefficient (more than 64%).
%@area CEA
%@electronicmailaddress mariza.echer@inpe.br
%@electronicmailaddress margarete.domingues@inpe.br
%@electronicmailaddress odim.mendes@inpe.br
%@electronicmailaddress ezequiel.echer@inpe.br
%@electronicmailaddress walter.gonzalez@inpe.br
%@documentstage not transferred
%@group DIDGE-CGCEA-INPE-MCTIC-GOV-BR
%@group LABAC-COCTE-INPE-MCTIC-GOV-BR
%@group DIDGE-CGCEA-INPE-MCTIC-GOV-BR
%@group DIDGE-CGCEA-INPE-MCTIC-GOV-BR
%@group DIDGE-CGCEA-INPE-MCTIC-GOV-BR
%@dissemination WEBSCI; PORTALCAPES; SCIELO; SCOPUS.
%@usergroup simone
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHQP
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JH3D
%@resumeid 8JMKD3MGP5W/3C9JJC4
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@versiontype publisher
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@doi 10.1007/s13538-018-00623-8
%2 sid.inpe.br/mtc-m21c/2019/02.07.11.07.31