Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index

A new Bitemporal Mineral Dust Index (BMDI) is derived from Meteosat Second Generation (MSG) infrared observations over land at two different time slots per day. This daily dust index is evaluated with AErosol RObotic NETwork (AERONET) surface observations, MODerate resolution Imaging Spectro-radiome...

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Published in:Remote Sensing of Environment
Main Authors: Klüser, L., Schepanski, Kerstin
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2009
Subjects:
Online Access:https://oceanrep.geomar.de/id/eprint/1451/
https://oceanrep.geomar.de/id/eprint/1451/3/Kl%C3%BCser.pdf
https://doi.org/10.1016/j.rse.2009.04.012
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spelling ftoceanrep:oai:oceanrep.geomar.de:1451 2024-09-30T14:21:40+00:00 Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index Klüser, L. Schepanski, Kerstin 2009 text https://oceanrep.geomar.de/id/eprint/1451/ https://oceanrep.geomar.de/id/eprint/1451/3/Kl%C3%BCser.pdf https://doi.org/10.1016/j.rse.2009.04.012 en eng Elsevier https://oceanrep.geomar.de/id/eprint/1451/3/Kl%C3%BCser.pdf Klüser, L. and Schepanski, K. (2009) Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index. Remote Sensing of Environment, 113 (9). pp. 1853-1867. DOI 10.1016/j.rse.2009.04.012 <https://doi.org/10.1016/j.rse.2009.04.012>. doi:10.1016/j.rse.2009.04.012 info:eu-repo/semantics/restrictedAccess Article PeerReviewed 2009 ftoceanrep https://doi.org/10.1016/j.rse.2009.04.012 2024-09-04T05:04:40Z A new Bitemporal Mineral Dust Index (BMDI) is derived from Meteosat Second Generation (MSG) infrared observations over land at two different time slots per day. This daily dust index is evaluated with AErosol RObotic NETwork (AERONET) surface observations, MODerate resolution Imaging Spectro-radiometer (MODIS) “Deep Blue” Aerosol Optical Depth (AOD) and Ozone Monitoring Instrument (OMI) Aerosol Index, showing a good capability of the BMDI for dust detection and dust load estimation over land and also over deserts. BMDI dust detection is shown to be limited in scenes with high atmospheric humidity as e.g. coastal regions. In particular the insensitivity of BMDI to biomass burning aerosol is shown, leading to the possibility of remote sensing of mineral dust also in regions with large contributions of biomass burning aerosol to the total column aerosol concentrations. Time series of mineral dust as inferred from BMDI for the year 2006 are presented for four regions over the Sahara. These time series show strong (and different) annual cycles of dust load for all four regions. Especially the strong episodic character of atmospheric dust in the main source regions can be inferred from BMDI observations. Article in Journal/Newspaper Aerosol Robotic Network OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Remote Sensing of Environment 113 9 1853 1867
institution Open Polar
collection OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel)
op_collection_id ftoceanrep
language English
description A new Bitemporal Mineral Dust Index (BMDI) is derived from Meteosat Second Generation (MSG) infrared observations over land at two different time slots per day. This daily dust index is evaluated with AErosol RObotic NETwork (AERONET) surface observations, MODerate resolution Imaging Spectro-radiometer (MODIS) “Deep Blue” Aerosol Optical Depth (AOD) and Ozone Monitoring Instrument (OMI) Aerosol Index, showing a good capability of the BMDI for dust detection and dust load estimation over land and also over deserts. BMDI dust detection is shown to be limited in scenes with high atmospheric humidity as e.g. coastal regions. In particular the insensitivity of BMDI to biomass burning aerosol is shown, leading to the possibility of remote sensing of mineral dust also in regions with large contributions of biomass burning aerosol to the total column aerosol concentrations. Time series of mineral dust as inferred from BMDI for the year 2006 are presented for four regions over the Sahara. These time series show strong (and different) annual cycles of dust load for all four regions. Especially the strong episodic character of atmospheric dust in the main source regions can be inferred from BMDI observations.
format Article in Journal/Newspaper
author Klüser, L.
Schepanski, Kerstin
spellingShingle Klüser, L.
Schepanski, Kerstin
Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index
author_facet Klüser, L.
Schepanski, Kerstin
author_sort Klüser, L.
title Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index
title_short Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index
title_full Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index
title_fullStr Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index
title_full_unstemmed Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index
title_sort remote sensing of mineral dust over land with msg infrared channels: a new bitemporal mineral dust index
publisher Elsevier
publishDate 2009
url https://oceanrep.geomar.de/id/eprint/1451/
https://oceanrep.geomar.de/id/eprint/1451/3/Kl%C3%BCser.pdf
https://doi.org/10.1016/j.rse.2009.04.012
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation https://oceanrep.geomar.de/id/eprint/1451/3/Kl%C3%BCser.pdf
Klüser, L. and Schepanski, K. (2009) Remote sensing of mineral dust over land with MSG infrared channels: A new Bitemporal Mineral Dust Index. Remote Sensing of Environment, 113 (9). pp. 1853-1867. DOI 10.1016/j.rse.2009.04.012 <https://doi.org/10.1016/j.rse.2009.04.012>.
doi:10.1016/j.rse.2009.04.012
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.1016/j.rse.2009.04.012
container_title Remote Sensing of Environment
container_volume 113
container_issue 9
container_start_page 1853
op_container_end_page 1867
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