The Relation Between Humidity and Liquid Water Content in Fog: An Experimental Approach
Microphysical measurements of orographic fog were performed above a montane cloud forest in northeastern Taiwan (Chilan mountain site). The measured parameters include droplet size distribution (DSD), absolute humidity (AH), relative humidity (RH), air temperature, wind speed and direction, visibili...
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description | Microphysical measurements of orographic fog were performed above a montane cloud forest in northeastern Taiwan (Chilan mountain site). The measured parameters include droplet size distribution (DSD), absolute humidity (AH), relative humidity (RH), air temperature, wind speed and direction, visibility, and solar short wave radiation. The scope of this work was to study the short term variations of DSD, temperature, and RH, with a temporal resolution of 3 Hz. The results show that orographic fog is randomly composed of various air volumes that are intrinsically rather homogeneous, but exhibit clear differences between each other with respect to their size, RH, LWC, and DSD. Three general types of air volumes have been identified via the recorded DSD. A statistical analysis of the characteristics of these volumes yielded large variabilities in persistence, RH, and LWC. Further, the data revealed an inverse relation between RH and LWC. In principle, this finding can be explained by the condensational growth theory for droplets containing soluble or insoluble material. Droplets with greater diameters can exist at lower ambient RH than smaller ones. However, condensational growth alone is not capable to explain the large observed differences in DSD and RH because the respective growth speeds are too slow to explain the observed phenomena. Other mechanisms play key roles as well. Possible processes leading to the large observed differences in RH and DSD include turbulence induced collision and coalescence, and heterogeneous mixing. More analyses including fog droplet chemistry and dynamic microphysical modeling are required to further study these processes. To our knowledge, this is the first experimental field observation of the anti-correlation between RH and LWC in fog. |
doi_str_mv | 10.1007/s00024-011-0270-x |
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The measured parameters include droplet size distribution (DSD), absolute humidity (AH), relative humidity (RH), air temperature, wind speed and direction, visibility, and solar short wave radiation. The scope of this work was to study the short term variations of DSD, temperature, and RH, with a temporal resolution of 3 Hz. The results show that orographic fog is randomly composed of various air volumes that are intrinsically rather homogeneous, but exhibit clear differences between each other with respect to their size, RH, LWC, and DSD. Three general types of air volumes have been identified via the recorded DSD. A statistical analysis of the characteristics of these volumes yielded large variabilities in persistence, RH, and LWC. Further, the data revealed an inverse relation between RH and LWC. In principle, this finding can be explained by the condensational growth theory for droplets containing soluble or insoluble material. Droplets with greater diameters can exist at lower ambient RH than smaller ones. However, condensational growth alone is not capable to explain the large observed differences in DSD and RH because the respective growth speeds are too slow to explain the observed phenomena. Other mechanisms play key roles as well. Possible processes leading to the large observed differences in RH and DSD include turbulence induced collision and coalescence, and heterogeneous mixing. More analyses including fog droplet chemistry and dynamic microphysical modeling are required to further study these processes. To our knowledge, this is the first experimental field observation of the anti-correlation between RH and LWC in fog.</description><identifier>ISSN: 0033-4553</identifier><identifier>EISSN: 1420-9136</identifier><identifier>DOI: 10.1007/s00024-011-0270-x</identifier><identifier>CODEN: PAGYAV</identifier><language>eng</language><publisher>Basel: SP Birkhäuser Verlag Basel</publisher><subject>Absolute humidity ; Air temperature ; Applied geophysics ; Cloud forests ; Clouds ; Coalescence ; Condensing ; Droplets ; Earth and Environmental Science ; Earth Sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Exact sciences and technology ; Fog ; Geophysics ; Geophysics/Geodesy ; Humidity ; Internal geophysics ; Liquids ; Mountains ; Natural hazards: prediction, damages, etc ; Physics ; Relative humidity ; Statistical analysis ; Water ; Water content ; Wind speed</subject><ispartof>Pure and applied geophysics, 2012-05, Vol.169 (5-6), p.821-833</ispartof><rights>Springer Basel AG 2011</rights><rights>2015 INIST-CNRS</rights><rights>Springer Basel AG 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-9f7097256fbcbae2d4e024fd67a5c9e6499f8880dfc3567ff93872cf084e98023</citedby><cites>FETCH-LOGICAL-c379t-9f7097256fbcbae2d4e024fd67a5c9e6499f8880dfc3567ff93872cf084e98023</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00024-011-0270-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00024-011-0270-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,23909,23910,25118,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25911979$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gonser, Stefan Georg</creatorcontrib><creatorcontrib>Klemm, Otto</creatorcontrib><creatorcontrib>Griessbaum, Frank</creatorcontrib><creatorcontrib>Chang, Shih-Chieh</creatorcontrib><creatorcontrib>Chu, Hou-Sen</creatorcontrib><creatorcontrib>Hsia, Yue-Joe</creatorcontrib><title>The Relation Between Humidity and Liquid Water Content in Fog: An Experimental Approach</title><title>Pure and applied geophysics</title><addtitle>Pure Appl. Geophys</addtitle><description>Microphysical measurements of orographic fog were performed above a montane cloud forest in northeastern Taiwan (Chilan mountain site). The measured parameters include droplet size distribution (DSD), absolute humidity (AH), relative humidity (RH), air temperature, wind speed and direction, visibility, and solar short wave radiation. The scope of this work was to study the short term variations of DSD, temperature, and RH, with a temporal resolution of 3 Hz. The results show that orographic fog is randomly composed of various air volumes that are intrinsically rather homogeneous, but exhibit clear differences between each other with respect to their size, RH, LWC, and DSD. Three general types of air volumes have been identified via the recorded DSD. A statistical analysis of the characteristics of these volumes yielded large variabilities in persistence, RH, and LWC. Further, the data revealed an inverse relation between RH and LWC. In principle, this finding can be explained by the condensational growth theory for droplets containing soluble or insoluble material. Droplets with greater diameters can exist at lower ambient RH than smaller ones. However, condensational growth alone is not capable to explain the large observed differences in DSD and RH because the respective growth speeds are too slow to explain the observed phenomena. Other mechanisms play key roles as well. Possible processes leading to the large observed differences in RH and DSD include turbulence induced collision and coalescence, and heterogeneous mixing. More analyses including fog droplet chemistry and dynamic microphysical modeling are required to further study these processes. To our knowledge, this is the first experimental field observation of the anti-correlation between RH and LWC in fog.</description><subject>Absolute humidity</subject><subject>Air temperature</subject><subject>Applied geophysics</subject><subject>Cloud forests</subject><subject>Clouds</subject><subject>Coalescence</subject><subject>Condensing</subject><subject>Droplets</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Exact sciences and technology</subject><subject>Fog</subject><subject>Geophysics</subject><subject>Geophysics/Geodesy</subject><subject>Humidity</subject><subject>Internal geophysics</subject><subject>Liquids</subject><subject>Mountains</subject><subject>Natural hazards: prediction, damages, etc</subject><subject>Physics</subject><subject>Relative humidity</subject><subject>Statistical analysis</subject><subject>Water</subject><subject>Water content</subject><subject>Wind speed</subject><issn>0033-4553</issn><issn>1420-9136</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kNtKAzEQhoMoWA8P4F1ABG9WJ9lDNt7VUg9QEKTiZYjZiUa22ZrsYvv2plREBK8Ck2_-mfkIOWFwwQDEZQQAXmTAWAZcQLbaISNWcMgky6tdMgLI86woy3yfHMT4DsCEKOWIPM_fkD5iq3vXeXqN_Seip3fDwjWuX1PtGzpzH4Nr6LPuMdBJ53v0PXWe3nSvV3Ts6XS1xOAWqapbOl4uQ6fN2xHZs7qNePz9HpKnm-l8cpfNHm7vJ-NZZnIh-0xaAVLwsrIv5kUjbwpMZ9imEro0EqtCSlvXNTTW5GUlrJV5LbixUBcoa-D5ITnf5qaxHwPGXi1cNNi22mM3RMUqsdGQJCT09A_63g3Bp-0UA8aFYFKIRLEtZUIXY0Crluk4HdYJUhvVaqtaJdVqo1qtUs_Zd7KORrc2aG9c_GnkpWQpWyaOb7mYvvwrht8b_Bf-BZ_3jMg</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Gonser, Stefan Georg</creator><creator>Klemm, Otto</creator><creator>Griessbaum, Frank</creator><creator>Chang, Shih-Chieh</creator><creator>Chu, Hou-Sen</creator><creator>Hsia, Yue-Joe</creator><general>SP Birkhäuser Verlag Basel</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20120501</creationdate><title>The Relation Between Humidity and Liquid Water Content in Fog: An Experimental Approach</title><author>Gonser, Stefan Georg ; Klemm, Otto ; Griessbaum, Frank ; Chang, Shih-Chieh ; Chu, Hou-Sen ; Hsia, Yue-Joe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-9f7097256fbcbae2d4e024fd67a5c9e6499f8880dfc3567ff93872cf084e98023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Absolute humidity</topic><topic>Air temperature</topic><topic>Applied geophysics</topic><topic>Cloud forests</topic><topic>Clouds</topic><topic>Coalescence</topic><topic>Condensing</topic><topic>Droplets</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Exact sciences and technology</topic><topic>Fog</topic><topic>Geophysics</topic><topic>Geophysics/Geodesy</topic><topic>Humidity</topic><topic>Internal geophysics</topic><topic>Liquids</topic><topic>Mountains</topic><topic>Natural hazards: prediction, damages, etc</topic><topic>Physics</topic><topic>Relative humidity</topic><topic>Statistical analysis</topic><topic>Water</topic><topic>Water content</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gonser, Stefan Georg</creatorcontrib><creatorcontrib>Klemm, Otto</creatorcontrib><creatorcontrib>Griessbaum, Frank</creatorcontrib><creatorcontrib>Chang, Shih-Chieh</creatorcontrib><creatorcontrib>Chu, Hou-Sen</creatorcontrib><creatorcontrib>Hsia, Yue-Joe</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Pure and applied geophysics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonser, Stefan Georg</au><au>Klemm, Otto</au><au>Griessbaum, Frank</au><au>Chang, Shih-Chieh</au><au>Chu, Hou-Sen</au><au>Hsia, Yue-Joe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Relation Between Humidity and Liquid Water Content in Fog: An Experimental Approach</atitle><jtitle>Pure and applied geophysics</jtitle><stitle>Pure Appl. Geophys</stitle><date>2012-05-01</date><risdate>2012</risdate><volume>169</volume><issue>5-6</issue><spage>821</spage><epage>833</epage><pages>821-833</pages><issn>0033-4553</issn><eissn>1420-9136</eissn><coden>PAGYAV</coden><abstract>Microphysical measurements of orographic fog were performed above a montane cloud forest in northeastern Taiwan (Chilan mountain site). The measured parameters include droplet size distribution (DSD), absolute humidity (AH), relative humidity (RH), air temperature, wind speed and direction, visibility, and solar short wave radiation. The scope of this work was to study the short term variations of DSD, temperature, and RH, with a temporal resolution of 3 Hz. The results show that orographic fog is randomly composed of various air volumes that are intrinsically rather homogeneous, but exhibit clear differences between each other with respect to their size, RH, LWC, and DSD. Three general types of air volumes have been identified via the recorded DSD. A statistical analysis of the characteristics of these volumes yielded large variabilities in persistence, RH, and LWC. Further, the data revealed an inverse relation between RH and LWC. In principle, this finding can be explained by the condensational growth theory for droplets containing soluble or insoluble material. Droplets with greater diameters can exist at lower ambient RH than smaller ones. However, condensational growth alone is not capable to explain the large observed differences in DSD and RH because the respective growth speeds are too slow to explain the observed phenomena. Other mechanisms play key roles as well. Possible processes leading to the large observed differences in RH and DSD include turbulence induced collision and coalescence, and heterogeneous mixing. More analyses including fog droplet chemistry and dynamic microphysical modeling are required to further study these processes. To our knowledge, this is the first experimental field observation of the anti-correlation between RH and LWC in fog.</abstract><cop>Basel</cop><pub>SP Birkhäuser Verlag Basel</pub><doi>10.1007/s00024-011-0270-x</doi><tpages>13</tpages></addata></record> |
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subjects | Absolute humidity Air temperature Applied geophysics Cloud forests Clouds Coalescence Condensing Droplets Earth and Environmental Science Earth Sciences Earth, ocean, space Engineering and environment geology. Geothermics Exact sciences and technology Fog Geophysics Geophysics/Geodesy Humidity Internal geophysics Liquids Mountains Natural hazards: prediction, damages, etc Physics Relative humidity Statistical analysis Water Water content Wind speed |
title | The Relation Between Humidity and Liquid Water Content in Fog: An Experimental Approach |
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