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Dynamical Downscaling of the Climate for the Hawaiian Islands. Part I: Present Day
Hawaii’s high and steep topography leads to pronounced small-scale variations in climate, and this makes comprehensive modeling of the weather and climate particularly challenging. This paper describes a regional model formulation designed for simulations of the microclimates in Hawaii and then docu...
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Published in: | Journal of climate 2016-04, Vol.29 (8), p.3027-3048 |
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description | Hawaii’s high and steep topography leads to pronounced small-scale variations in climate, and this makes comprehensive modeling of the weather and climate particularly challenging. This paper describes a regional model formulation designed for simulations of the microclimates in Hawaii and then documents and analyzes an extended retrospective simulation for near-present-day conditions. Part II will apply the model to projected climate conditions near the end of the present century.
A nested version of the Advanced Research version of the Weather Research and Forecasting Model with fine horizontal resolution and improved physics for the Hawaiian region has been configured. A 20-yr triply nested simulation of the atmospheric flow was undertaken with a 3-km-resolution mesh covering all main Hawaiian Islands and a 1-km mesh over Maui. Ocean surface temperatures are prescribed from observations, and meteorological fields at the boundaries of the outermost domain are taken from global reanalyses. The simulations are compared to surface, balloon, and satellite observations over the same period. The 3-km version of the model realistically simulates the frequency of trade wind inversions, time-mean rainfall, and other variables on relatively small scales over the island of Hawaii. There is a reasonable agreement between observed and simulated mean rainfall patterns over the other islands as well. However, the simulated distribution of mean rainfall over Kauai and (most particularly) Maui and Oahu reveals some significant deficiencies, which is attributed to inadequate resolution of the topography on these islands. The 1-km simulation over Maui shows clear improvement in the mean rainfall over the 3-km version. |
doi_str_mv | 10.1175/JCLI-D-15-0432.1 |
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A nested version of the Advanced Research version of the Weather Research and Forecasting Model with fine horizontal resolution and improved physics for the Hawaiian region has been configured. A 20-yr triply nested simulation of the atmospheric flow was undertaken with a 3-km-resolution mesh covering all main Hawaiian Islands and a 1-km mesh over Maui. Ocean surface temperatures are prescribed from observations, and meteorological fields at the boundaries of the outermost domain are taken from global reanalyses. The simulations are compared to surface, balloon, and satellite observations over the same period. The 3-km version of the model realistically simulates the frequency of trade wind inversions, time-mean rainfall, and other variables on relatively small scales over the island of Hawaii. There is a reasonable agreement between observed and simulated mean rainfall patterns over the other islands as well. However, the simulated distribution of mean rainfall over Kauai and (most particularly) Maui and Oahu reveals some significant deficiencies, which is attributed to inadequate resolution of the topography on these islands. The 1-km simulation over Maui shows clear improvement in the mean rainfall over the 3-km version.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/JCLI-D-15-0432.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Atmospheric models ; Balloons ; Climate ; Climate and weather ; Climate change ; Climate models ; Climate variations ; Climatic conditions ; Finite element method ; General circulation models ; Inversions ; Islands ; Meteorological balloons ; Microclimate ; Modelling ; Ocean surface ; Ocean temperature ; Physics ; Precipitation ; Rain ; Rainfall ; Rainfall patterns ; Rainfall simulators ; Regions ; Resolution ; Satellite observation ; Simulation ; Studies ; Surface temperature ; Topography ; Trade winds ; Trends ; Weather forecasting</subject><ispartof>Journal of climate, 2016-04, Vol.29 (8), p.3027-3048</ispartof><rights>2016 American Meteorological Society</rights><rights>Copyright American Meteorological Society Apr 15, 2016</rights><rights>Copyright American Meteorological Society 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-94ea68c16f4c5bacd98c1fad2923d319661a0dd214d9f698a7799ef09e5e5c743</citedby><cites>FETCH-LOGICAL-c396t-94ea68c16f4c5bacd98c1fad2923d319661a0dd214d9f698a7799ef09e5e5c743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26385436$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26385436$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids></links><search><creatorcontrib>Zhang, Chunxi</creatorcontrib><creatorcontrib>Wang, Yuqing</creatorcontrib><creatorcontrib>Hamilton, Kevin</creatorcontrib><creatorcontrib>Lauer, Axel</creatorcontrib><title>Dynamical Downscaling of the Climate for the Hawaiian Islands. Part I: Present Day</title><title>Journal of climate</title><description>Hawaii’s high and steep topography leads to pronounced small-scale variations in climate, and this makes comprehensive modeling of the weather and climate particularly challenging. This paper describes a regional model formulation designed for simulations of the microclimates in Hawaii and then documents and analyzes an extended retrospective simulation for near-present-day conditions. Part II will apply the model to projected climate conditions near the end of the present century.
A nested version of the Advanced Research version of the Weather Research and Forecasting Model with fine horizontal resolution and improved physics for the Hawaiian region has been configured. A 20-yr triply nested simulation of the atmospheric flow was undertaken with a 3-km-resolution mesh covering all main Hawaiian Islands and a 1-km mesh over Maui. Ocean surface temperatures are prescribed from observations, and meteorological fields at the boundaries of the outermost domain are taken from global reanalyses. The simulations are compared to surface, balloon, and satellite observations over the same period. The 3-km version of the model realistically simulates the frequency of trade wind inversions, time-mean rainfall, and other variables on relatively small scales over the island of Hawaii. There is a reasonable agreement between observed and simulated mean rainfall patterns over the other islands as well. However, the simulated distribution of mean rainfall over Kauai and (most particularly) Maui and Oahu reveals some significant deficiencies, which is attributed to inadequate resolution of the topography on these islands. The 1-km simulation over Maui shows clear improvement in the mean rainfall over the 3-km version.</description><subject>Atmospheric models</subject><subject>Balloons</subject><subject>Climate</subject><subject>Climate and weather</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climate variations</subject><subject>Climatic conditions</subject><subject>Finite element method</subject><subject>General circulation models</subject><subject>Inversions</subject><subject>Islands</subject><subject>Meteorological balloons</subject><subject>Microclimate</subject><subject>Modelling</subject><subject>Ocean surface</subject><subject>Ocean temperature</subject><subject>Physics</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall patterns</subject><subject>Rainfall simulators</subject><subject>Regions</subject><subject>Resolution</subject><subject>Satellite observation</subject><subject>Simulation</subject><subject>Studies</subject><subject>Surface temperature</subject><subject>Topography</subject><subject>Trade winds</subject><subject>Trends</subject><subject>Weather forecasting</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kM1Lw0AUxBdRsFbvXoSAFy-p-_Z7j5JUGynoQc_Lmmw0JU3qbkrpf-_GigcPnt4b-M0wDEKXgGcAkt8-ZssizVPgKWaUzOAITYATHBUjx2iClWapkpyforMQVhgDERhP0Dzfd3bdlLZN8n7Xhfg03XvS18nw4ZKsbdZ2cEnd-2-9sDvbNLZLitDargqz5Nn6ISnO0Ult2-Aufu4Uvd7PX7JFunx6KLK7ZVpSLYZUM2eFKkHUrORvtqx0FLWtiCa0oqCFAIurigCrdC20slJq7WqsHXe8lIxO0c0hd-P7z60Lg1k3oXRtLOP6bTCgpFQMS44jev0HXfVb38V2hiisuQRO6X8USMUlV1qMWfhAlb4PwbvabHwcxu8NYDOub8b1TW6Am3F9A9FydbCswtD7X54Iqjijgn4Bo2h-og</recordid><startdate>20160401</startdate><enddate>20160401</enddate><creator>Zhang, Chunxi</creator><creator>Wang, Yuqing</creator><creator>Hamilton, Kevin</creator><creator>Lauer, Axel</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</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>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M0K</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</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><scope>S0X</scope></search><sort><creationdate>20160401</creationdate><title>Dynamical Downscaling of the Climate for the Hawaiian Islands. Part I</title><author>Zhang, Chunxi ; Wang, Yuqing ; Hamilton, Kevin ; Lauer, Axel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-94ea68c16f4c5bacd98c1fad2923d319661a0dd214d9f698a7799ef09e5e5c743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Atmospheric models</topic><topic>Balloons</topic><topic>Climate</topic><topic>Climate and weather</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climate variations</topic><topic>Climatic conditions</topic><topic>Finite element method</topic><topic>General circulation models</topic><topic>Inversions</topic><topic>Islands</topic><topic>Meteorological balloons</topic><topic>Microclimate</topic><topic>Modelling</topic><topic>Ocean surface</topic><topic>Ocean temperature</topic><topic>Physics</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainfall patterns</topic><topic>Rainfall simulators</topic><topic>Regions</topic><topic>Resolution</topic><topic>Satellite observation</topic><topic>Simulation</topic><topic>Studies</topic><topic>Surface temperature</topic><topic>Topography</topic><topic>Trade winds</topic><topic>Trends</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Chunxi</creatorcontrib><creatorcontrib>Wang, Yuqing</creatorcontrib><creatorcontrib>Hamilton, Kevin</creatorcontrib><creatorcontrib>Lauer, Axel</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest 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>Research Library Prep</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>Agriculture Science Database</collection><collection>Military Database</collection><collection>ProQuest research library</collection><collection>ProQuest Science Journals</collection><collection>Research Library (Corporate)</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><collection>SIRS Editorial</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Chunxi</au><au>Wang, Yuqing</au><au>Hamilton, Kevin</au><au>Lauer, Axel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamical Downscaling of the Climate for the Hawaiian Islands. Part I: Present Day</atitle><jtitle>Journal of climate</jtitle><date>2016-04-01</date><risdate>2016</risdate><volume>29</volume><issue>8</issue><spage>3027</spage><epage>3048</epage><pages>3027-3048</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>Hawaii’s high and steep topography leads to pronounced small-scale variations in climate, and this makes comprehensive modeling of the weather and climate particularly challenging. This paper describes a regional model formulation designed for simulations of the microclimates in Hawaii and then documents and analyzes an extended retrospective simulation for near-present-day conditions. Part II will apply the model to projected climate conditions near the end of the present century.
A nested version of the Advanced Research version of the Weather Research and Forecasting Model with fine horizontal resolution and improved physics for the Hawaiian region has been configured. A 20-yr triply nested simulation of the atmospheric flow was undertaken with a 3-km-resolution mesh covering all main Hawaiian Islands and a 1-km mesh over Maui. Ocean surface temperatures are prescribed from observations, and meteorological fields at the boundaries of the outermost domain are taken from global reanalyses. The simulations are compared to surface, balloon, and satellite observations over the same period. The 3-km version of the model realistically simulates the frequency of trade wind inversions, time-mean rainfall, and other variables on relatively small scales over the island of Hawaii. There is a reasonable agreement between observed and simulated mean rainfall patterns over the other islands as well. However, the simulated distribution of mean rainfall over Kauai and (most particularly) Maui and Oahu reveals some significant deficiencies, which is attributed to inadequate resolution of the topography on these islands. The 1-km simulation over Maui shows clear improvement in the mean rainfall over the 3-km version.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/JCLI-D-15-0432.1</doi><tpages>22</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmospheric models Balloons Climate Climate and weather Climate change Climate models Climate variations Climatic conditions Finite element method General circulation models Inversions Islands Meteorological balloons Microclimate Modelling Ocean surface Ocean temperature Physics Precipitation Rain Rainfall Rainfall patterns Rainfall simulators Regions Resolution Satellite observation Simulation Studies Surface temperature Topography Trade winds Trends Weather forecasting |
title | Dynamical Downscaling of the Climate for the Hawaiian Islands. Part I: Present Day |
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