Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch)
To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry–climate model (EMAC), which combines the Modular Earth Submodel System (MESSy) with the ECMWF/Hamburg (ECHAM) climate model developed at the Max Planck Institute for Meteorology in Hamburg based on a we...
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ftdoajarticles:oai:doaj.org/article:196839adbd4943dc97b370466b5d40ea 2023-05-15T13:06:29+02:00 Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) K. Klingmüller S. Metzger M. Abdelkader V. A. Karydis G. L. Stenchikov A. Pozzer J. Lelieveld 2018-03-01T00:00:00Z https://doi.org/10.5194/gmd-11-989-2018 https://doaj.org/article/196839adbd4943dc97b370466b5d40ea EN eng Copernicus Publications https://www.geosci-model-dev.net/11/989/2018/gmd-11-989-2018.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-11-989-2018 1991-959X 1991-9603 https://doaj.org/article/196839adbd4943dc97b370466b5d40ea Geoscientific Model Development, Vol 11, Pp 989-1008 (2018) Geology QE1-996.5 article 2018 ftdoajarticles https://doi.org/10.5194/gmd-11-989-2018 2022-12-31T16:23:35Z To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry–climate model (EMAC), which combines the Modular Earth Submodel System (MESSy) with the ECMWF/Hamburg (ECHAM) climate model developed at the Max Planck Institute for Meteorology in Hamburg based on a weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF), we have implemented new input data and updates of the emission scheme. The data set comprises land cover classification, vegetation, clay fraction and topography. It is based on up-to-date observations, which are crucial to account for the rapid changes of deserts and semi-arid regions in recent decades. The new Moderate Resolution Imaging Spectroradiometer (MODIS)-based land cover and vegetation data are 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 have 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 the aerosol optical depth (AOD) at 550 nm wavelength from a 1-year simulation at T106 (about 1.1°) resolution with Aerosol Robotic Network (AERONET) and MODIS observations, the 10 µm dust AOD (DAOD) with Infrared Atmospheric Sounding Interferometer (IASI) retrievals, and dust concentration and deposition results with observations from the Aerosol Comparisons between Observations and Models (AeroCom) dust benchmark data set. The update significantly improves agreement with the observations and is therefore recommended to be used in future simulations. Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 11 3 989 1008 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 K. Klingmüller S. Metzger M. Abdelkader V. A. Karydis G. L. Stenchikov A. Pozzer J. Lelieveld Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) |
topic_facet |
Geology QE1-996.5 |
description |
To improve the aeolian dust budget calculations with the global ECHAM/MESSy atmospheric chemistry–climate model (EMAC), which combines the Modular Earth Submodel System (MESSy) with the ECMWF/Hamburg (ECHAM) climate model developed at the Max Planck Institute for Meteorology in Hamburg based on a weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF), we have implemented new input data and updates of the emission scheme. The data set comprises land cover classification, vegetation, clay fraction and topography. It is based on up-to-date observations, which are crucial to account for the rapid changes of deserts and semi-arid regions in recent decades. The new Moderate Resolution Imaging Spectroradiometer (MODIS)-based land cover and vegetation data are 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 have 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 the aerosol optical depth (AOD) at 550 nm wavelength from a 1-year simulation at T106 (about 1.1°) resolution with Aerosol Robotic Network (AERONET) and MODIS observations, the 10 µm dust AOD (DAOD) with Infrared Atmospheric Sounding Interferometer (IASI) retrievals, and dust concentration and deposition results with observations from the Aerosol Comparisons between Observations and Models (AeroCom) dust benchmark data set. The update significantly improves agreement with the observations and is therefore recommended to be used in future simulations. |
format |
Article in Journal/Newspaper |
author |
K. Klingmüller S. Metzger M. Abdelkader V. A. Karydis G. L. Stenchikov A. Pozzer J. Lelieveld |
author_facet |
K. Klingmüller S. Metzger M. Abdelkader V. A. Karydis G. L. Stenchikov A. Pozzer J. Lelieveld |
author_sort |
K. Klingmüller |
title |
Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) |
title_short |
Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) |
title_full |
Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) |
title_fullStr |
Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) |
title_full_unstemmed |
Revised mineral dust emissions in the atmospheric chemistry–climate model EMAC (MESSy 2.52 DU_Astitha1 KKDU2017 patch) |
title_sort |
revised mineral dust emissions in the atmospheric chemistry–climate model emac (messy 2.52 du_astitha1 kkdu2017 patch) |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/gmd-11-989-2018 https://doaj.org/article/196839adbd4943dc97b370466b5d40ea |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Geoscientific Model Development, Vol 11, Pp 989-1008 (2018) |
op_relation |
https://www.geosci-model-dev.net/11/989/2018/gmd-11-989-2018.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-11-989-2018 1991-959X 1991-9603 https://doaj.org/article/196839adbd4943dc97b370466b5d40ea |
op_doi |
https://doi.org/10.5194/gmd-11-989-2018 |
container_title |
Geoscientific Model Development |
container_volume |
11 |
container_issue |
3 |
container_start_page |
989 |
op_container_end_page |
1008 |
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1766007677833445376 |