{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:53:32Z","timestamp":1775246012464,"version":"3.50.1"},"reference-count":78,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2018,10,6]],"date-time":"2018-10-06T00:00:00Z","timestamp":1538784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The principal objective of this study is to present and evaluate an advanced dust wet deposition scheme in the Weather and Research Forecasting model coupled with Chemistry (WRF-Chem). As far as the chemistry component is concerned, the Georgia Tech Goddard Global Ozone Chemistry Aerosol Radiation and Transport of the Air Force Weather Agency (GOCART-AFWA) module is applied, as it supports a binary scheme for dust emissions and transport. However, the GOCART-AFWA aerosol module does not incorporate a wet scavenging scheme, nor does it interact with cloud processes. The integration of a dust wet deposition scheme following Seinfeld and Pandis into the WRF-Chem model is assessed through a case study of large-scale Saharan dust transport over the Eastern Mediterranean that is characterized by severe wet deposition over Greece. An acceptable agreement was found between the calculated and measured near surface PM10 concentrations, as well as when model estimated atmospheric optical depth (AOD) was validated against the AERONET measurements, indicating the validity of our dust wet deposition scheme.<\/jats:p>","DOI":"10.3390\/rs10101595","type":"journal-article","created":{"date-parts":[[2018,10,8]],"date-time":"2018-10-08T10:44:53Z","timestamp":1538995493000},"page":"1595","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["The Implementation of a Mineral Dust Wet Deposition Scheme in the GOCART-AFWA Module of the WRF Model"],"prefix":"10.3390","volume":"10","author":[{"given":"Konstantinos","family":"Tsarpalis","sequence":"first","affiliation":[{"name":"Department of Geography, Harokopio University of Athens, El. Venizelou 70 Str., 17671 Kallithea, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4441-3443","authenticated-orcid":false,"given":"Anastasios","family":"Papadopoulos","sequence":"additional","affiliation":[{"name":"Institute of Marine Biological Resources and Inland Waters, Hellenic Center of Marine Research, 46.7 km Athens-Sounion Ave., 19013 Anavissos Attikis, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1282-0896","authenticated-orcid":false,"given":"Nikolaos","family":"Mihalopoulos","sequence":"additional","affiliation":[{"name":"Institute for Environmental Research and Sustainable Development, National Observatory of Athens (NOA), Metaxa &amp; Vas. Pavlou, 15236 Palea Penteli, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3074-3230","authenticated-orcid":false,"given":"Christos","family":"Spyrou","sequence":"additional","affiliation":[{"name":"Department of Geography, Harokopio University of Athens, El. Venizelou 70 Str., 17671 Kallithea, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3853-5065","authenticated-orcid":false,"given":"Silas","family":"Michaelides","sequence":"additional","affiliation":[{"name":"The Cyprus Institute, 20, Konstantinou Kavafi Str., 2121 Aglantzia, Nicosia, Cyprus"}]},{"given":"Petros","family":"Katsafados","sequence":"additional","affiliation":[{"name":"Department of Geography, Harokopio University of Athens, El. Venizelou 70 Str., 17671 Kallithea, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"She, L., Xue, Y., Yang, X., Guang, J., Li, Y., Che, Y., Fan, C., and Xie, Y. (2018). Dust detection and intensity estimation using Himawari-8\/AHI observation. 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