A Review of Coastal Fog Microphysics During C-FOG
Our goal is to provide an overview of the microphysical measurements made during the C-FOG (Toward Improving Coastal Fog Prediction) field project. In addition, we evaluate microphysical parametrizations using the C-FOG dataset. The C-FOG project is designed to advance understanding of liquid fog fo...
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creator | Gultepe, I. Heymsfield, A. J. Fernando, H. J. S. Pardyjak, E. Dorman, C. E. Wang, Q. Creegan, E. Hoch, S. W. Flagg, D. D. Yamaguchi, R. Krishnamurthy, R. Gaberšek, S. Perrie, W. Perelet, A. Singh, D. K. Chang, R. Nagare, B. Wagh, S. Wang, S. |
description | Our goal is to provide an overview of the microphysical measurements made during the C-FOG (Toward Improving Coastal Fog Prediction) field project. In addition, we evaluate microphysical parametrizations using the C-FOG dataset. The C-FOG project is designed to advance understanding of liquid fog formation, particularly its development and dissipation in coastal environments, so as to improve fog predictability and monitoring. The project took place along eastern Canada’s (Nova Scotia and Newfoundland) coastlines and open water environments from August−October 2018, where environmental conditions play an important role for late-season fog formation. Visibility, wind speed, and atmospheric turbulence along coastlines are the most critical weather-related factors affecting marine transportation and aviation. In the analysis, microphysical observations are summarized first and then, together with three-dimensional wind components, used for fog intensity (visibility) evaluation. Results suggest that detailed microphysical observations collected at the supersites and aboard the Research Vessel
Hugh R. Sharp
are useful for developing microphysical parametrizations. The fog life cycle and turbulence-kinetic-energy dissipation rate are strongly related to each other. The magnitudes of three-dimensional wind fluctuations are higher during the formation and dissipation stages. An array of cutting-edge instruments used for data collection provides new insight into the variability and intensity of fog (visibility) and microphysics. It is concluded that further modifications in microphysical observations and parametrizations are needed to improve fog predictability of numerical-weather-prediction models. |
doi_str_mv | 10.1007/s10546-021-00659-5 |
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Hugh R. Sharp
are useful for developing microphysical parametrizations. The fog life cycle and turbulence-kinetic-energy dissipation rate are strongly related to each other. The magnitudes of three-dimensional wind fluctuations are higher during the formation and dissipation stages. An array of cutting-edge instruments used for data collection provides new insight into the variability and intensity of fog (visibility) and microphysics. It is concluded that further modifications in microphysical observations and parametrizations are needed to improve fog predictability of numerical-weather-prediction models.</description><identifier>ISSN: 0006-8314</identifier><identifier>EISSN: 1573-1472</identifier><identifier>DOI: 10.1007/s10546-021-00659-5</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Analysis ; Atmospheric models ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Atmospheric turbulence ; Aviation ; Coastal ; Coastal environments ; Coastal zones ; Coasts ; Data collection ; Earth and Environmental Science ; Earth Sciences ; Energy dissipation ; Energy exchange ; Environmental conditions ; ENVIRONMENTAL SCIENCES ; Evaluation ; Fog ; Fog formation ; Instruments ; Life cycle ; Life cycles ; Marine transportation ; Meteorology ; Microphysics ; Numerical prediction ; Prediction models ; remote sensing ; Research Article ; Research vessels ; Sea transport ; Visibility ; Waterfront development ; Weather ; Wind ; Wind fluctuations ; Wind speed ; Wind variations</subject><ispartof>Boundary-layer meteorology, 2021-12, Vol.181 (2-3), p.227-265</ispartof><rights>Crown 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>Crown 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c429t-a1d8c9ddf2ea75c3d183b89fa5e5aeaa5796bdb0cc5aa15294f2bdcff8cee5913</citedby><cites>FETCH-LOGICAL-c429t-a1d8c9ddf2ea75c3d183b89fa5e5aeaa5796bdb0cc5aa15294f2bdcff8cee5913</cites><orcidid>0000-0002-8433-5953 ; 0000000284335953 ; 0000000297184218</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10546-021-00659-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10546-021-00659-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1837554$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Gultepe, I.</creatorcontrib><creatorcontrib>Heymsfield, A. J.</creatorcontrib><creatorcontrib>Fernando, H. J. S.</creatorcontrib><creatorcontrib>Pardyjak, E.</creatorcontrib><creatorcontrib>Dorman, C. E.</creatorcontrib><creatorcontrib>Wang, Q.</creatorcontrib><creatorcontrib>Creegan, E.</creatorcontrib><creatorcontrib>Hoch, S. W.</creatorcontrib><creatorcontrib>Flagg, D. D.</creatorcontrib><creatorcontrib>Yamaguchi, R.</creatorcontrib><creatorcontrib>Krishnamurthy, R.</creatorcontrib><creatorcontrib>Gaberšek, S.</creatorcontrib><creatorcontrib>Perrie, W.</creatorcontrib><creatorcontrib>Perelet, A.</creatorcontrib><creatorcontrib>Singh, D. K.</creatorcontrib><creatorcontrib>Chang, R.</creatorcontrib><creatorcontrib>Nagare, B.</creatorcontrib><creatorcontrib>Wagh, S.</creatorcontrib><creatorcontrib>Wang, S.</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><title>A Review of Coastal Fog Microphysics During C-FOG</title><title>Boundary-layer meteorology</title><addtitle>Boundary-Layer Meteorol</addtitle><description>Our goal is to provide an overview of the microphysical measurements made during the C-FOG (Toward Improving Coastal Fog Prediction) field project. In addition, we evaluate microphysical parametrizations using the C-FOG dataset. The C-FOG project is designed to advance understanding of liquid fog formation, particularly its development and dissipation in coastal environments, so as to improve fog predictability and monitoring. The project took place along eastern Canada’s (Nova Scotia and Newfoundland) coastlines and open water environments from August−October 2018, where environmental conditions play an important role for late-season fog formation. Visibility, wind speed, and atmospheric turbulence along coastlines are the most critical weather-related factors affecting marine transportation and aviation. In the analysis, microphysical observations are summarized first and then, together with three-dimensional wind components, used for fog intensity (visibility) evaluation. Results suggest that detailed microphysical observations collected at the supersites and aboard the Research Vessel
Hugh R. Sharp
are useful for developing microphysical parametrizations. The fog life cycle and turbulence-kinetic-energy dissipation rate are strongly related to each other. The magnitudes of three-dimensional wind fluctuations are higher during the formation and dissipation stages. An array of cutting-edge instruments used for data collection provides new insight into the variability and intensity of fog (visibility) and microphysics. It is concluded that further modifications in microphysical observations and parametrizations are needed to improve fog predictability of numerical-weather-prediction models.</description><subject>Analysis</subject><subject>Atmospheric models</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Atmospheric Sciences</subject><subject>Atmospheric turbulence</subject><subject>Aviation</subject><subject>Coastal</subject><subject>Coastal environments</subject><subject>Coastal zones</subject><subject>Coasts</subject><subject>Data collection</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Energy dissipation</subject><subject>Energy exchange</subject><subject>Environmental conditions</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Evaluation</subject><subject>Fog</subject><subject>Fog formation</subject><subject>Instruments</subject><subject>Life cycle</subject><subject>Life cycles</subject><subject>Marine transportation</subject><subject>Meteorology</subject><subject>Microphysics</subject><subject>Numerical prediction</subject><subject>Prediction models</subject><subject>remote sensing</subject><subject>Research Article</subject><subject>Research vessels</subject><subject>Sea transport</subject><subject>Visibility</subject><subject>Waterfront development</subject><subject>Weather</subject><subject>Wind</subject><subject>Wind fluctuations</subject><subject>Wind speed</subject><subject>Wind variations</subject><issn>0006-8314</issn><issn>1573-1472</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1KAzEURoMoWKsv4GrQdWp-Z5JlqbYKSkF0HTKZpE1pJ2MyVfr2po7gTrK45PKdj8sB4BqjCUaouksYcVZCRDBEqOQS8hMwwryiELOKnIIRymsoKGbn4CKlTf5WmKMRwNPi1X56-1UEV8yCTr3eFvOwKl68iaFbH5I3qbjfR9-uihmcLxeX4MzpbbJXv3MM3ucPb7NH-LxcPM2mz9AwInuocSOMbBpHrK64oQ0WtBbSaW65tlrzSpZ1UyNjuNaYE8kcqRvjnDDWconpGNwMvSH1XiXje2vWJrStNb3KZRXnLIduh1AXw8fepl5twj62-S5FSkQpo4SInJoMqZXeWuVbF_qoTX6N3flcaZ3P-2kpGEaixDIDZACyg5SidaqLfqfjQWGkjsLVIFxl4epHuOIZogOUuqMtG_9u-Yf6BsNmgR0</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Gultepe, I.</creator><creator>Heymsfield, A. 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(PNNL), Richland, WA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Review of Coastal Fog Microphysics During C-FOG</atitle><jtitle>Boundary-layer meteorology</jtitle><stitle>Boundary-Layer Meteorol</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>181</volume><issue>2-3</issue><spage>227</spage><epage>265</epage><pages>227-265</pages><issn>0006-8314</issn><eissn>1573-1472</eissn><abstract>Our goal is to provide an overview of the microphysical measurements made during the C-FOG (Toward Improving Coastal Fog Prediction) field project. In addition, we evaluate microphysical parametrizations using the C-FOG dataset. The C-FOG project is designed to advance understanding of liquid fog formation, particularly its development and dissipation in coastal environments, so as to improve fog predictability and monitoring. The project took place along eastern Canada’s (Nova Scotia and Newfoundland) coastlines and open water environments from August−October 2018, where environmental conditions play an important role for late-season fog formation. Visibility, wind speed, and atmospheric turbulence along coastlines are the most critical weather-related factors affecting marine transportation and aviation. In the analysis, microphysical observations are summarized first and then, together with three-dimensional wind components, used for fog intensity (visibility) evaluation. Results suggest that detailed microphysical observations collected at the supersites and aboard the Research Vessel
Hugh R. Sharp
are useful for developing microphysical parametrizations. The fog life cycle and turbulence-kinetic-energy dissipation rate are strongly related to each other. The magnitudes of three-dimensional wind fluctuations are higher during the formation and dissipation stages. An array of cutting-edge instruments used for data collection provides new insight into the variability and intensity of fog (visibility) and microphysics. It is concluded that further modifications in microphysical observations and parametrizations are needed to improve fog predictability of numerical-weather-prediction models.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10546-021-00659-5</doi><tpages>39</tpages><orcidid>https://orcid.org/0000-0002-8433-5953</orcidid><orcidid>https://orcid.org/0000000284335953</orcidid><orcidid>https://orcid.org/0000000297184218</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Atmospheric models Atmospheric Protection/Air Quality Control/Air Pollution Atmospheric Sciences Atmospheric turbulence Aviation Coastal Coastal environments Coastal zones Coasts Data collection Earth and Environmental Science Earth Sciences Energy dissipation Energy exchange Environmental conditions ENVIRONMENTAL SCIENCES Evaluation Fog Fog formation Instruments Life cycle Life cycles Marine transportation Meteorology Microphysics Numerical prediction Prediction models remote sensing Research Article Research vessels Sea transport Visibility Waterfront development Weather Wind Wind fluctuations Wind speed Wind variations |
title | A Review of Coastal Fog Microphysics During C-FOG |
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