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Evaluation of Ten Fresh Snow Density Parameterization Schemes for Simulating Snow Depth and Surface Energy Fluxes on the Eastern Tibetan Plateau
Snow cover on the Tibetan Plateau has a shallow depth, plaque distribution, and repeated ablation. The applicability of the snow parameterization scheme in the current land surface process model on the TP needs to be further tested using observational data. In this paper, using the land surface proc...
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Published in: | Atmosphere 2023-10, Vol.14 (10), p.1571 |
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description | Snow cover on the Tibetan Plateau has a shallow depth, plaque distribution, and repeated ablation. The applicability of the snow parameterization scheme in the current land surface process model on the TP needs to be further tested using observational data. In this paper, using the land surface process model CLM4.5 and ten fresh snow density parameterization schemes characterized by temperature, wind speed, and relative humidity, three discontinuous snow processes in Maqu, Madoi, and Yakou and two continuous snow processes in Madoi and Yakou were simulated. By comparing the simulated snow depth with the observed, it was found that this model can clearly describe repeated snow accumulation and ablation processes for the discontinuous snow cover process. The KW scheme, compared with the original Anderson scheme, performed the best regarding snow depth simulation. However, all schemes overestimated the melting rate of snow, and were not able to simulate continuous snow accumulation. The simulation effect of the Schmucki scheme on radiation and energy flux under discontinuous snow cover was significantly improved compared with other scheme. None of schemes performed perfectly, so future studies that focus on the simulations of snow depth, radiation flux, and energy flux under continuous snow cover for accurate and wide applications are recommended. |
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The applicability of the snow parameterization scheme in the current land surface process model on the TP needs to be further tested using observational data. In this paper, using the land surface process model CLM4.5 and ten fresh snow density parameterization schemes characterized by temperature, wind speed, and relative humidity, three discontinuous snow processes in Maqu, Madoi, and Yakou and two continuous snow processes in Madoi and Yakou were simulated. By comparing the simulated snow depth with the observed, it was found that this model can clearly describe repeated snow accumulation and ablation processes for the discontinuous snow cover process. The KW scheme, compared with the original Anderson scheme, performed the best regarding snow depth simulation. However, all schemes overestimated the melting rate of snow, and were not able to simulate continuous snow accumulation. The simulation effect of the Schmucki scheme on radiation and energy flux under discontinuous snow cover was significantly improved compared with other scheme. None of schemes performed perfectly, so future studies that focus on the simulations of snow depth, radiation flux, and energy flux under continuous snow cover for accurate and wide applications are recommended.</description><identifier>ISSN: 2073-4433</identifier><identifier>EISSN: 2073-4433</identifier><identifier>DOI: 10.3390/atmos14101571</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Ablation ; Accumulation ; CLM4.5 ; Cold ; Density ; Depth ; Energy ; Energy flux ; Energy transfer ; Environmental aspects ; Fluctuations ; fresh snow density parameterization scheme ; Humidity ; Hydrology ; Ice ; Mountains ; Parameterization ; Precipitation ; Predation ; Radiation ; Radiation flux ; Relative humidity ; Simulation ; Snow ; Snow accumulation ; Snow cover ; Snow density ; Snow depth ; Summer ; Surface energy ; Surface properties ; Temperature ; Tibetan Plateau (TP) ; Wind speed ; Winter</subject><ispartof>Atmosphere, 2023-10, Vol.14 (10), p.1571</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c365t-e5b8576c45d0f87a9c5c4b489bc3cae271eb58e91136a81067dcc40a317d856f3</cites><orcidid>0000-0002-8343-5979 ; 0000-0002-8825-1159</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2882282601/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2882282601?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,44566,74869</link.rule.ids></links><search><creatorcontrib>Li, Wenjing</creatorcontrib><creatorcontrib>Luo, Siqiong</creatorcontrib><creatorcontrib>Wang, Jingyuan</creatorcontrib><creatorcontrib>Wang, Yuxuan</creatorcontrib><title>Evaluation of Ten Fresh Snow Density Parameterization Schemes for Simulating Snow Depth and Surface Energy Fluxes on the Eastern Tibetan Plateau</title><title>Atmosphere</title><description>Snow cover on the Tibetan Plateau has a shallow depth, plaque distribution, and repeated ablation. The applicability of the snow parameterization scheme in the current land surface process model on the TP needs to be further tested using observational data. In this paper, using the land surface process model CLM4.5 and ten fresh snow density parameterization schemes characterized by temperature, wind speed, and relative humidity, three discontinuous snow processes in Maqu, Madoi, and Yakou and two continuous snow processes in Madoi and Yakou were simulated. By comparing the simulated snow depth with the observed, it was found that this model can clearly describe repeated snow accumulation and ablation processes for the discontinuous snow cover process. The KW scheme, compared with the original Anderson scheme, performed the best regarding snow depth simulation. However, all schemes overestimated the melting rate of snow, and were not able to simulate continuous snow accumulation. The simulation effect of the Schmucki scheme on radiation and energy flux under discontinuous snow cover was significantly improved compared with other scheme. None of schemes performed perfectly, so future studies that focus on the simulations of snow depth, radiation flux, and energy flux under continuous snow cover for accurate and wide applications are recommended.</description><subject>Ablation</subject><subject>Accumulation</subject><subject>CLM4.5</subject><subject>Cold</subject><subject>Density</subject><subject>Depth</subject><subject>Energy</subject><subject>Energy flux</subject><subject>Energy transfer</subject><subject>Environmental aspects</subject><subject>Fluctuations</subject><subject>fresh snow density parameterization scheme</subject><subject>Humidity</subject><subject>Hydrology</subject><subject>Ice</subject><subject>Mountains</subject><subject>Parameterization</subject><subject>Precipitation</subject><subject>Predation</subject><subject>Radiation</subject><subject>Radiation flux</subject><subject>Relative humidity</subject><subject>Simulation</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>Snow cover</subject><subject>Snow density</subject><subject>Snow depth</subject><subject>Summer</subject><subject>Surface energy</subject><subject>Surface properties</subject><subject>Temperature</subject><subject>Tibetan Plateau (TP)</subject><subject>Wind speed</subject><subject>Winter</subject><issn>2073-4433</issn><issn>2073-4433</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkUFr3DAQhU1oISHJsXdBz04lS7bkY0h320Cggd2czVge7Wqxpa0kt93-iv7kKnVTGs1Bw-O9j2GmKN4xesN5Sz9AmnxkglFWS3ZWXFRU8lIIzt_8158X1zEeaH6i5RUXF8Wv1TcYZ0jWO-IN2aIj64BxTzbOfycf0UWbTuQRAkyYMNifi3Wj9zhhJMYHsrHTPGbZ7V5Cx7Qn4AaymYMBjWTlMOxOZD3OP3Imx9M-ixAz0JGt7TGBI4-ZgTBfFW8NjBGv__6XxdN6tb37XD58-XR_d_tQat7UqcS6V7VstKgHapSEVtda9EK1veYasJIM-1phyxhvQDHayEFrQYEzOai6MfyyuF-4g4dDdwx2gnDqPNjuj-DDroOQrB6x470UmrdGSqRCUAF5xZAxvOGyAioy6_3COgb_dcaYuoOfg8vjd5VSVaWqhrLsullcO8hQ64xPAXSuAServUNjs34rJWtZVfNnbLkEdPAxBjT_xmS0ez569-ro_DdLop_d</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Li, Wenjing</creator><creator>Luo, Siqiong</creator><creator>Wang, Jingyuan</creator><creator>Wang, Yuxuan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>SOI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8343-5979</orcidid><orcidid>https://orcid.org/0000-0002-8825-1159</orcidid></search><sort><creationdate>20231001</creationdate><title>Evaluation of Ten Fresh Snow Density Parameterization Schemes for Simulating Snow Depth and Surface Energy Fluxes on the Eastern Tibetan Plateau</title><author>Li, Wenjing ; Luo, Siqiong ; Wang, Jingyuan ; Wang, Yuxuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-e5b8576c45d0f87a9c5c4b489bc3cae271eb58e91136a81067dcc40a317d856f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Ablation</topic><topic>Accumulation</topic><topic>CLM4.5</topic><topic>Cold</topic><topic>Density</topic><topic>Depth</topic><topic>Energy</topic><topic>Energy flux</topic><topic>Energy transfer</topic><topic>Environmental aspects</topic><topic>Fluctuations</topic><topic>fresh snow density parameterization scheme</topic><topic>Humidity</topic><topic>Hydrology</topic><topic>Ice</topic><topic>Mountains</topic><topic>Parameterization</topic><topic>Precipitation</topic><topic>Predation</topic><topic>Radiation</topic><topic>Radiation flux</topic><topic>Relative humidity</topic><topic>Simulation</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>Snow cover</topic><topic>Snow density</topic><topic>Snow depth</topic><topic>Summer</topic><topic>Surface energy</topic><topic>Surface properties</topic><topic>Temperature</topic><topic>Tibetan Plateau (TP)</topic><topic>Wind speed</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Wenjing</creatorcontrib><creatorcontrib>Luo, Siqiong</creatorcontrib><creatorcontrib>Wang, Jingyuan</creatorcontrib><creatorcontrib>Wang, Yuxuan</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</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>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content 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>Environment Abstracts</collection><collection>DOAJÂ Directory of Open Access Journals</collection><jtitle>Atmosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Wenjing</au><au>Luo, Siqiong</au><au>Wang, Jingyuan</au><au>Wang, Yuxuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Ten Fresh Snow Density Parameterization Schemes for Simulating Snow Depth and Surface Energy Fluxes on the Eastern Tibetan Plateau</atitle><jtitle>Atmosphere</jtitle><date>2023-10-01</date><risdate>2023</risdate><volume>14</volume><issue>10</issue><spage>1571</spage><pages>1571-</pages><issn>2073-4433</issn><eissn>2073-4433</eissn><abstract>Snow cover on the Tibetan Plateau has a shallow depth, plaque distribution, and repeated ablation. The applicability of the snow parameterization scheme in the current land surface process model on the TP needs to be further tested using observational data. In this paper, using the land surface process model CLM4.5 and ten fresh snow density parameterization schemes characterized by temperature, wind speed, and relative humidity, three discontinuous snow processes in Maqu, Madoi, and Yakou and two continuous snow processes in Madoi and Yakou were simulated. By comparing the simulated snow depth with the observed, it was found that this model can clearly describe repeated snow accumulation and ablation processes for the discontinuous snow cover process. The KW scheme, compared with the original Anderson scheme, performed the best regarding snow depth simulation. However, all schemes overestimated the melting rate of snow, and were not able to simulate continuous snow accumulation. The simulation effect of the Schmucki scheme on radiation and energy flux under discontinuous snow cover was significantly improved compared with other scheme. None of schemes performed perfectly, so future studies that focus on the simulations of snow depth, radiation flux, and energy flux under continuous snow cover for accurate and wide applications are recommended.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/atmos14101571</doi><orcidid>https://orcid.org/0000-0002-8343-5979</orcidid><orcidid>https://orcid.org/0000-0002-8825-1159</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Ablation Accumulation CLM4.5 Cold Density Depth Energy Energy flux Energy transfer Environmental aspects Fluctuations fresh snow density parameterization scheme Humidity Hydrology Ice Mountains Parameterization Precipitation Predation Radiation Radiation flux Relative humidity Simulation Snow Snow accumulation Snow cover Snow density Snow depth Summer Surface energy Surface properties Temperature Tibetan Plateau (TP) Wind speed Winter |
title | Evaluation of Ten Fresh Snow Density Parameterization Schemes for Simulating Snow Depth and Surface Energy Fluxes on the Eastern Tibetan Plateau |
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