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...
Published in: | Remote Sensing of Environment |
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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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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 |
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Open Polar |
collection |
OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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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 |
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113 |
container_issue |
9 |
container_start_page |
1853 |
op_container_end_page |
1867 |
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1811638016342491136 |