Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions
To determine the grid resolutions of the WRF model in the typhoon simulation, some sensitivity analysis of horizontal and vertical resolutions in different conditions has been carried out. Different horizontal resolutions (5, 10, 20, 30 km), nesting grids (15 and 5 km), different vertical resolution...
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| Veröffentlicht in: | Acta oceanologica Sinica 2019-07, Vol.38 (7), p.74-83 |
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| description | To determine the grid resolutions of the WRF model in the typhoon simulation, some sensitivity analysis of horizontal and vertical resolutions in different conditions has been carried out. Different horizontal resolutions (5, 10, 20, 30 km), nesting grids (15 and 5 km), different vertical resolutions (35-layers, 28-layers, 20-layers) and different top maximum pressures (1 000, 2 000, 3 500, 5 000 Pa) had been used in the mesoscale numerical model WRF to simulate the Typhoon Kai-tak. The simulation results of typhoon track, wind speed and sea level pressure at different horizontal and vertical resolutions have been compared and analyzed. The horizontal and vertical resolutions of the model have limited effect on the simulation effect of the typhoon track. Different horizontal and vertical resolutions have obvious effects on typhoon strength (defined by wind speed) and intensity (defined by sea level pressure, SLP), especially for sea level pressure. The typhoon intensity simulated by the high-resolution model is closer to the real situation and the nesting grids can improve computational accuracy and efficiency. The simulation results affected by vertical resolution using 35-layers is better than the simulation results using 20-layers and 28-layers simulations. Through comparison and analysis, the horizontal and vertical resolutions of WRF model are finally determined as follows: the two-way nesting grid of 15 and 5 km is comprehensively determined, and the vertical layers is 35-layers, the top maximum pressure is 2 000 Pa. |
| doi_str_mv | 10.1007/s13131-019-1459-z |
| format | Article |
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Different horizontal resolutions (5, 10, 20, 30 km), nesting grids (15 and 5 km), different vertical resolutions (35-layers, 28-layers, 20-layers) and different top maximum pressures (1 000, 2 000, 3 500, 5 000 Pa) had been used in the mesoscale numerical model WRF to simulate the Typhoon Kai-tak. The simulation results of typhoon track, wind speed and sea level pressure at different horizontal and vertical resolutions have been compared and analyzed. The horizontal and vertical resolutions of the model have limited effect on the simulation effect of the typhoon track. Different horizontal and vertical resolutions have obvious effects on typhoon strength (defined by wind speed) and intensity (defined by sea level pressure, SLP), especially for sea level pressure. The typhoon intensity simulated by the high-resolution model is closer to the real situation and the nesting grids can improve computational accuracy and efficiency. The simulation results affected by vertical resolution using 35-layers is better than the simulation results using 20-layers and 28-layers simulations. Through comparison and analysis, the horizontal and vertical resolutions of WRF model are finally determined as follows: the two-way nesting grid of 15 and 5 km is comprehensively determined, and the vertical layers is 35-layers, the top maximum pressure is 2 000 Pa.</description><identifier>ISSN: 0253-505X</identifier><identifier>EISSN: 1869-1099</identifier><identifier>DOI: 10.1007/s13131-019-1459-z</identifier><language>eng</language><publisher>Beijing: The Chinese Society of Oceanography</publisher><subject>Climatology ; Computer applications ; Computer simulation ; Earth and Environmental Science ; Earth Sciences ; Ecology ; Engineering Fluid Dynamics ; Environmental Chemistry ; Hurricanes ; Marine & Freshwater Sciences ; Mathematical models ; Nesting ; Numerical models ; Oceanography ; Pressure ; Resolution ; Sea level ; Sea level pressure ; Sensitivity analysis ; Simulation ; Typhoons ; Wind ; Wind speed</subject><ispartof>Acta oceanologica Sinica, 2019-07, Vol.38 (7), p.74-83</ispartof><rights>Chinese Society for Oceanography and Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><rights>Chinese Society for Oceanography and Springer-Verlag GmbH Germany, part of Springer Nature 2019.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-c0852e77650e91dd991a1fb6248c30a53538f880890106cbd9590234f15f8d4b3</citedby><cites>FETCH-LOGICAL-c442t-c0852e77650e91dd991a1fb6248c30a53538f880890106cbd9590234f15f8d4b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/hyxb-e/hyxb-e.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13131-019-1459-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2920609349?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Wu, Zhiyuan</creatorcontrib><creatorcontrib>Jiang, Changbo</creatorcontrib><creatorcontrib>Deng, Bin</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Liu, Xiaojian</creatorcontrib><title>Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions</title><title>Acta oceanologica Sinica</title><addtitle>Acta Oceanol. Sin</addtitle><description>To determine the grid resolutions of the WRF model in the typhoon simulation, some sensitivity analysis of horizontal and vertical resolutions in different conditions has been carried out. Different horizontal resolutions (5, 10, 20, 30 km), nesting grids (15 and 5 km), different vertical resolutions (35-layers, 28-layers, 20-layers) and different top maximum pressures (1 000, 2 000, 3 500, 5 000 Pa) had been used in the mesoscale numerical model WRF to simulate the Typhoon Kai-tak. The simulation results of typhoon track, wind speed and sea level pressure at different horizontal and vertical resolutions have been compared and analyzed. The horizontal and vertical resolutions of the model have limited effect on the simulation effect of the typhoon track. Different horizontal and vertical resolutions have obvious effects on typhoon strength (defined by wind speed) and intensity (defined by sea level pressure, SLP), especially for sea level pressure. The typhoon intensity simulated by the high-resolution model is closer to the real situation and the nesting grids can improve computational accuracy and efficiency. The simulation results affected by vertical resolution using 35-layers is better than the simulation results using 20-layers and 28-layers simulations. Through comparison and analysis, the horizontal and vertical resolutions of WRF model are finally determined as follows: the two-way nesting grid of 15 and 5 km is comprehensively determined, and the vertical layers is 35-layers, the top maximum pressure is 2 000 Pa.</description><subject>Climatology</subject><subject>Computer applications</subject><subject>Computer simulation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>Engineering Fluid Dynamics</subject><subject>Environmental Chemistry</subject><subject>Hurricanes</subject><subject>Marine & Freshwater Sciences</subject><subject>Mathematical models</subject><subject>Nesting</subject><subject>Numerical models</subject><subject>Oceanography</subject><subject>Pressure</subject><subject>Resolution</subject><subject>Sea level</subject><subject>Sea level pressure</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Typhoons</subject><subject>Wind</subject><subject>Wind speed</subject><issn>0253-505X</issn><issn>1869-1099</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kd9LHDEQx4O04FX9A3wL9KFPWye_dpPHctRWEATPom8ht5u9jT2Ta5K13v315lzBJ2UehoHPZwbmi9Apge8EoDlLhJWqgKiKcKGq3QGaEVmXCZT6hGZABasEiLtD9CWlewBBBGtm6GlhfXLZPbq8xaHHt9fnOLmHcW2y7XDeboYQPM7RtH-x8R12Pr8IBX60EefB4kUY84Dng_MGL6zBOeAhRLcLPpv1i1TI7NoyRJvCeswu-HSMPvdmnezJaz9Cf85_3sx_V5dXvy7mPy6rlnOaqxakoLZpagFWka5TihjSL2vKZcvACCaY7KUEqYBA3S47JRRQxnsietnxJTtC36a9_43vjV_p-zBGXy7qYfu01JaWl0EDIAv5dSI3MfwbbcpvKFUUalCMqw8pKrhoQHEoFJmoNoaUou31JroHE7eagN4HpqfAdLmu94HpXXHo5KTC-pWNb5vfl54BzNmYiA</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Wu, Zhiyuan</creator><creator>Jiang, Changbo</creator><creator>Deng, Bin</creator><creator>Chen, Jie</creator><creator>Liu, Xiaojian</creator><general>The Chinese Society of Oceanography</general><general>Springer Nature B.V</general><general>Key Laboratory of the Pearl River Estuarine Dynamics and Associated Process Regulation,Ministry of Water Resources,Guangzhou 510611,China%School of Hydraulic Engineering,Changsha University of Science & Technology,Changsha 410114,China</general><general>Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province,Changsha 410114,China</general><general>School for Marine Science and Technology,University of Massachusetts Dartmouth,New Bedford,MA 02744,USA</general><general>School of Hydraulic Engineering,Changsha University of Science & Technology,Changsha 410114,China</general><general>Key Laboratory of Water-Sediment Sciences and Water Disaster Prevention of Hunan Province,Changsha 410114,China%Key Laboratory of the Pearl River Estuarine Dynamics and Associated Process Regulation,Ministry of Water Resources,Guangzhou 510611,China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H95</scope><scope>H97</scope><scope>H98</scope><scope>H99</scope><scope>HCIFZ</scope><scope>L.F</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20190701</creationdate><title>Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions</title><author>Wu, Zhiyuan ; Jiang, Changbo ; Deng, Bin ; Chen, Jie ; Liu, Xiaojian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-c0852e77650e91dd991a1fb6248c30a53538f880890106cbd9590234f15f8d4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Climatology</topic><topic>Computer applications</topic><topic>Computer simulation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecology</topic><topic>Engineering Fluid Dynamics</topic><topic>Environmental Chemistry</topic><topic>Hurricanes</topic><topic>Marine & Freshwater Sciences</topic><topic>Mathematical models</topic><topic>Nesting</topic><topic>Numerical models</topic><topic>Oceanography</topic><topic>Pressure</topic><topic>Resolution</topic><topic>Sea level</topic><topic>Sea level pressure</topic><topic>Sensitivity analysis</topic><topic>Simulation</topic><topic>Typhoons</topic><topic>Wind</topic><topic>Wind speed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Zhiyuan</creatorcontrib><creatorcontrib>Jiang, Changbo</creatorcontrib><creatorcontrib>Deng, Bin</creatorcontrib><creatorcontrib>Chen, Jie</creatorcontrib><creatorcontrib>Liu, Xiaojian</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Aquaculture Abstracts</collection><collection>ASFA: Marine Biotechnology Abstracts</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Marine Biotechnology Abstracts</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Acta oceanologica Sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Zhiyuan</au><au>Jiang, Changbo</au><au>Deng, Bin</au><au>Chen, Jie</au><au>Liu, Xiaojian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions</atitle><jtitle>Acta oceanologica Sinica</jtitle><stitle>Acta Oceanol. Sin</stitle><date>2019-07-01</date><risdate>2019</risdate><volume>38</volume><issue>7</issue><spage>74</spage><epage>83</epage><pages>74-83</pages><issn>0253-505X</issn><eissn>1869-1099</eissn><abstract>To determine the grid resolutions of the WRF model in the typhoon simulation, some sensitivity analysis of horizontal and vertical resolutions in different conditions has been carried out. Different horizontal resolutions (5, 10, 20, 30 km), nesting grids (15 and 5 km), different vertical resolutions (35-layers, 28-layers, 20-layers) and different top maximum pressures (1 000, 2 000, 3 500, 5 000 Pa) had been used in the mesoscale numerical model WRF to simulate the Typhoon Kai-tak. The simulation results of typhoon track, wind speed and sea level pressure at different horizontal and vertical resolutions have been compared and analyzed. The horizontal and vertical resolutions of the model have limited effect on the simulation effect of the typhoon track. Different horizontal and vertical resolutions have obvious effects on typhoon strength (defined by wind speed) and intensity (defined by sea level pressure, SLP), especially for sea level pressure. The typhoon intensity simulated by the high-resolution model is closer to the real situation and the nesting grids can improve computational accuracy and efficiency. The simulation results affected by vertical resolution using 35-layers is better than the simulation results using 20-layers and 28-layers simulations. Through comparison and analysis, the horizontal and vertical resolutions of WRF model are finally determined as follows: the two-way nesting grid of 15 and 5 km is comprehensively determined, and the vertical layers is 35-layers, the top maximum pressure is 2 000 Pa.</abstract><cop>Beijing</cop><pub>The Chinese Society of Oceanography</pub><doi>10.1007/s13131-019-1459-z</doi><tpages>10</tpages></addata></record> |
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| source | SpringerLink Journals; Alma/SFX Local Collection; ProQuest Central |
| subjects | Climatology Computer applications Computer simulation Earth and Environmental Science Earth Sciences Ecology Engineering Fluid Dynamics Environmental Chemistry Hurricanes Marine & Freshwater Sciences Mathematical models Nesting Numerical models Oceanography Pressure Resolution Sea level Sea level pressure Sensitivity analysis Simulation Typhoons Wind Wind speed |
| title | Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions |
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