Martian atmospheric spectral end-members retrieval from ExoMars Thermal Infrared TIRVIM data

<p>Here we investigated new thermal infrared data from the TIRVIM instrument of the ExoMars TGO with the main goal of carefully identifying Martian atmospheric dust and water ice clouds components. A methodology based on principal component and target transformation factor analysis techniques has been applied. Based on our results, this methodology can correctly recover both atmospheric dust and water ice aerosols spectral shapes and their abundances in the Martian atmosphere.</p> <p>The processed TIRVIM data and retrievals used in our&nbsp;work&nbsp;are available here.&nbsp;<br> <br> <strong><em>File uploaded:</em></strong></p> <p><strong>Alemanno_2022_Martian_atmospheric_spectral_end-members_retrieval_from_ExoMars_Thermal_Infrared_TIRVIM_data.zip </strong></p> <p>containing:</p> <ul> <li><strong>Data Set S1</strong> - Alemanno_2022_Martian_atmospheric_spectral_end-members_retrieval_from_ExoMars_Thermal_Infrared_TIRVIM_data</li> <li><strong>Text S1</strong> - Alemanno_2022_Martian_atmospheric_spectral_end-members_retrieval_from_ExoMars_Thermal_Infrared_TIRVIM_data.README</li> <li><strong>Data Set S2</strong> - PCA_components</li> <li><strong>Data Set S3</strong> - PCA_eigenvalues_variance</li> <li><strong>Data Set S4</strong> - TES_endmembers_orginal_target-transform</li> </ul> <p><strong>Description:</strong></p> <p><strong>Data Set S1</strong> &ndash; Martian atmospheric spectral end-members retrieved from ExoMars Thermal Infrared TIRVIM data</p> <p><strong>Text S1</strong> &ndash; description of the data contained in Dataset S1</p> <p><strong>Data Set S2</strong> &ndash; &nbsp;PCA_components retrieved from TIRVIM data</p> <p><strong>Data Set S3</strong> &ndash; PCA eigenvalues variance for each retrieved component of the dataset S2</p> <p><strong>Data Set S4</strong> &ndash; &nbsp;smoothed TES endmembers target-transformed</p> <p><strong>If you use this data set in your own work, please cite this DOI:</strong></p> <p><strong>10.5281/zenodo.7032738</strong></p> <p><strong>Please also cite this work:</strong></p> <p><strong>Alemanno G. et al. (2022), Spectral Atmospheric End-Members Retrieval from ExoMars Thermal InfraRed (TIRVIM) Data.&nbsp;53rd Lunar and Planetary Science Conference, held 7-11 March, 2022 at The Woodlands, Texas. LPI Contribution No. 2678, 2022, id.1885.</strong></p> <p><strong>Alemanno G. et al. (2022),&nbsp;Martian atmospheric spectral end-members retrieval from ExoMars Thermal Infrared (TIRVIM) data, JGR Planets, doi:&nbsp;10.1029/2022JE007429</strong></p>