The implementation of dust mineralogy in COSMO5.05-MUSCAT
<p>Mineral dust aerosols are composed of a complex assemblage of various minerals depending on the region in which they originated. Given the different mineral composition of desert dust aerosols, different physicochemical properties and therefore varying climate effects are expected.</p>...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-02-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/17/1271/2024/gmd-17-1271-2024.pdf |
| _version_ | 1797310801462165504 |
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| author | S. Gómez Maqueo Anaya D. Althausen M. Faust H. Baars B. Heinold J. Hofer I. Tegen A. Ansmann R. Engelmann A. Skupin B. Heese K. Schepanski |
| author_facet | S. Gómez Maqueo Anaya D. Althausen M. Faust H. Baars B. Heinold J. Hofer I. Tegen A. Ansmann R. Engelmann A. Skupin B. Heese K. Schepanski |
| author_sort | S. Gómez Maqueo Anaya |
| collection | DOAJ |
| description | <p>Mineral dust aerosols are composed of a complex assemblage of various minerals depending on the region in which they originated. Given the different mineral composition of desert dust aerosols, different physicochemical properties and therefore varying climate effects are expected.</p>
<p>Despite the known regional variations in mineral composition, chemical transport models typically assume that mineral dust aerosols have uniform composition. This study adds, for the first time, mineralogical information to the mineral dust emission scheme used in the chemical transport model COSMO–MUSCAT. We provide a detailed description of the implementation of the mineralogical database, GMINER (<span class="cit" id="xref_altparen.1"><a href="#bib1.bibx52">Nickovic et al.</a>, <a href="#bib1.bibx52">2012</a></span>), together with a specific set of physical parameterizations in the model's mineral dust emission module, which led to a general improvement of the model performance when comparing the simulated mineral dust aerosols with measurements over the Sahara region for January–February 2022.</p>
<p>The simulated mineral dust aerosol vertical distribution is tested by a comparison with aerosol lidar measurements from the lidar system <span class="inline-formula">Polly<sup>XT</sup></span>, located at Cape Verde. For a lofted mineral dust aerosol layer on 2 February at 05:00 UTC the lidar retrievals yield a dust mass concentration peak of 156 <span class="inline-formula">µg m<sup>−3</sup></span>, while the model calculates the mineral dust peak at 136 <span class="inline-formula">µg m<sup>−3</sup></span>. The results highlight the possibility of using the model with resolved mineral dust composition for interpretation of the lidar measurements since a higher absorption in the UV–Vis wavelengths is correlated with particles having a higher hematite content. Additionally, the comparison with in situ mineralogical measurements of dust aerosol particles shows that more of them are needed for model evaluation.</p> |
| first_indexed | 2024-03-08T01:48:18Z |
| format | Article |
| id | doaj.art-af06a90ecfa64c6c9d3af13cddb0e032 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-03-08T01:48:18Z |
| publishDate | 2024-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-af06a90ecfa64c6c9d3af13cddb0e0322024-02-14T12:43:23ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032024-02-01171271129510.5194/gmd-17-1271-2024The implementation of dust mineralogy in COSMO5.05-MUSCATS. Gómez Maqueo Anaya0D. Althausen1M. Faust2H. Baars3B. Heinold4J. Hofer5I. Tegen6A. Ansmann7R. Engelmann8A. Skupin9B. Heese10K. Schepanski11Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyLeibniz Institute for Tropospheric Research (TROPOS), Leipzig, GermanyInstitute of Meteorology, Department of Earth Sciences, Free University of Berlin, Berlin, Germany<p>Mineral dust aerosols are composed of a complex assemblage of various minerals depending on the region in which they originated. Given the different mineral composition of desert dust aerosols, different physicochemical properties and therefore varying climate effects are expected.</p> <p>Despite the known regional variations in mineral composition, chemical transport models typically assume that mineral dust aerosols have uniform composition. This study adds, for the first time, mineralogical information to the mineral dust emission scheme used in the chemical transport model COSMO–MUSCAT. We provide a detailed description of the implementation of the mineralogical database, GMINER (<span class="cit" id="xref_altparen.1"><a href="#bib1.bibx52">Nickovic et al.</a>, <a href="#bib1.bibx52">2012</a></span>), together with a specific set of physical parameterizations in the model's mineral dust emission module, which led to a general improvement of the model performance when comparing the simulated mineral dust aerosols with measurements over the Sahara region for January–February 2022.</p> <p>The simulated mineral dust aerosol vertical distribution is tested by a comparison with aerosol lidar measurements from the lidar system <span class="inline-formula">Polly<sup>XT</sup></span>, located at Cape Verde. For a lofted mineral dust aerosol layer on 2 February at 05:00 UTC the lidar retrievals yield a dust mass concentration peak of 156 <span class="inline-formula">µg m<sup>−3</sup></span>, while the model calculates the mineral dust peak at 136 <span class="inline-formula">µg m<sup>−3</sup></span>. The results highlight the possibility of using the model with resolved mineral dust composition for interpretation of the lidar measurements since a higher absorption in the UV–Vis wavelengths is correlated with particles having a higher hematite content. Additionally, the comparison with in situ mineralogical measurements of dust aerosol particles shows that more of them are needed for model evaluation.</p>https://gmd.copernicus.org/articles/17/1271/2024/gmd-17-1271-2024.pdf |
| spellingShingle | S. Gómez Maqueo Anaya D. Althausen M. Faust H. Baars B. Heinold J. Hofer I. Tegen A. Ansmann R. Engelmann A. Skupin B. Heese K. Schepanski The implementation of dust mineralogy in COSMO5.05-MUSCAT Geoscientific Model Development |
| title | The implementation of dust mineralogy in COSMO5.05-MUSCAT |
| title_full | The implementation of dust mineralogy in COSMO5.05-MUSCAT |
| title_fullStr | The implementation of dust mineralogy in COSMO5.05-MUSCAT |
| title_full_unstemmed | The implementation of dust mineralogy in COSMO5.05-MUSCAT |
| title_short | The implementation of dust mineralogy in COSMO5.05-MUSCAT |
| title_sort | implementation of dust mineralogy in cosmo5 05 muscat |
| url | https://gmd.copernicus.org/articles/17/1271/2024/gmd-17-1271-2024.pdf |
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