Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)

To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry-climate model (EMAC) we have implemented new input data and updates of the emission scheme. The data set comprises landcover classification, vegetation, clay fraction and topography. It is based on up-t...

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Main Authors: Klingmüller, K., Metzger, S., Abdelkader, M., Karydis, V., Stenchikov, G., Pozzer, A., Lelieveld, J.
Format: Report
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-002D-AFF5-B
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spelling ftpubman:oai:pure.mpg.de:item_2468198 2023-08-20T03:59:11+02:00 Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52) Klingmüller, K. Metzger, S. Abdelkader, M. Karydis, V. Stenchikov, G. Pozzer, A. Lelieveld, J. 2017 http://hdl.handle.net/11858/00-001M-0000-002D-AFF5-B eng eng info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-2017-160 http://hdl.handle.net/11858/00-001M-0000-002D-AFF5-B Geoscientific Model Development Discussions info:eu-repo/semantics/workingPaper 2017 ftpubman https://doi.org/10.5194/gmd-2017-160 2023-08-01T22:37:07Z To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry-climate model (EMAC) we have implemented new input data and updates of the emission scheme. The data set comprises landcover classification, vegetation, clay fraction and topography. It is based on up-to-date observations, which is crucial to account for the rapid changes of deserts and semi-arid regions in recent decades. The new Moderate-resolution Imaging Spectroradiometer (MODIS) based landcover and vegetation data is time dependent, and the effect of long-term trends and variability of the relevant parameters is therefore considered by the emission scheme. All input data has a spatial resolution of at least 0.1° compared to 1° in the previous version, equipping the model for high resolution simulations. We validate the updates by comparing results for the aerosol optical depth (AOD) at 550 nm wavelength from a one year simulation at T106 (about 1.1°) resolution with Aerosol Robotic Network (AERONET) and MODIS observations, and results for 10 μm dust AOD (DAOD) with Infrared Atmospheric Sounding Interferometer (IASI) retrievals. The update significantly improves agreement with the observations and is therefore recommended to be used in future simulations. Report Aerosol Robotic Network Max Planck Society: MPG.PuRe
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry-climate model (EMAC) we have implemented new input data and updates of the emission scheme. The data set comprises landcover classification, vegetation, clay fraction and topography. It is based on up-to-date observations, which is crucial to account for the rapid changes of deserts and semi-arid regions in recent decades. The new Moderate-resolution Imaging Spectroradiometer (MODIS) based landcover and vegetation data is time dependent, and the effect of long-term trends and variability of the relevant parameters is therefore considered by the emission scheme. All input data has a spatial resolution of at least 0.1° compared to 1° in the previous version, equipping the model for high resolution simulations. We validate the updates by comparing results for the aerosol optical depth (AOD) at 550 nm wavelength from a one year simulation at T106 (about 1.1°) resolution with Aerosol Robotic Network (AERONET) and MODIS observations, and results for 10 μm dust AOD (DAOD) with Infrared Atmospheric Sounding Interferometer (IASI) retrievals. The update significantly improves agreement with the observations and is therefore recommended to be used in future simulations.
format Report
author Klingmüller, K.
Metzger, S.
Abdelkader, M.
Karydis, V.
Stenchikov, G.
Pozzer, A.
Lelieveld, J.
spellingShingle Klingmüller, K.
Metzger, S.
Abdelkader, M.
Karydis, V.
Stenchikov, G.
Pozzer, A.
Lelieveld, J.
Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)
author_facet Klingmüller, K.
Metzger, S.
Abdelkader, M.
Karydis, V.
Stenchikov, G.
Pozzer, A.
Lelieveld, J.
author_sort Klingmüller, K.
title Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)
title_short Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)
title_full Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)
title_fullStr Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)
title_full_unstemmed Revised mineral dust emissions in the atmospheric chemistry-climate model EMAC (based on MESSy 2.52)
title_sort revised mineral dust emissions in the atmospheric chemistry-climate model emac (based on messy 2.52)
publishDate 2017
url http://hdl.handle.net/11858/00-001M-0000-002D-AFF5-B
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Geoscientific Model Development Discussions
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-2017-160
http://hdl.handle.net/11858/00-001M-0000-002D-AFF5-B
op_doi https://doi.org/10.5194/gmd-2017-160
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