Mesosphere and Lower Thermosphere Temperatures Simulated by WACCM‐X With NAVGEM‐HA Meteorological Analyses and Compared to SABER Observations
Realistic modeling of the dynamics and variability in the upper mesosphere and lower thermosphere (UMLT) is critical to understand the coupling between different layers of the whole atmosphere system. Here we present simulations of the UMLT temperatures at ∼100 km altitude for one year during 2014 b...
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description | Realistic modeling of the dynamics and variability in the upper mesosphere and lower thermosphere (UMLT) is critical to understand the coupling between different layers of the whole atmosphere system. Here we present simulations of the UMLT temperatures at ∼100 km altitude for one year during 2014 by the Whole Atmosphere Community Climate Model with thermosphere-ionosphere extension (WACCM-X) constrained below ∼90 km using meteorological analysis products of the high-altitude version of Navy Global Environmental Model (NAVGEM-HA). The model results are sampled at the same times and latitudes and longitudes as the satellite observations from Thermosphere Ionosphere and Mesosphere Electric Dynamics/Sounding of the Atmosphere using Broadband Emission Radiometry (TIMED/SABER). Comparisons show that the observed and modeled daily zonal mean temperatures are correlated (r ∼0.5–0.7) at most latitudes between ±50°. Both the observations and simulations show an annual variation at mid-latitudes in two hemispheres with the temperature maximum in summer and the minimum in winter, and at lower latitudes the semiannual variation becomes stronger having the temperature maximums at equinoxes and the minimums during solstices. However, the temperatures observed are on average ∼5–10 K (3%–5%) smaller than the model and the observations show a larger variability. Moreover, migrating tidal amplitudes are mostly overestimated by the model. Though differences are noticed, the WACCM-X simulations with NAVGEM-HA meteorological analyses are overall consistent with the SABER observations. These results support that whole atmosphere models informed by high altitude observations would help to simulate the UMLT variability and the atmosphere and ionosphere coupling. |
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Here we present simulations of the UMLT temperatures at ∼100 km altitude for one year during 2014 by the Whole Atmosphere Community Climate Model with thermosphere-ionosphere extension (WACCM-X) constrained below ∼90 km using meteorological analysis products of the high-altitude version of Navy Global Environmental Model (NAVGEM-HA). The model results are sampled at the same times and latitudes and longitudes as the satellite observations from Thermosphere Ionosphere and Mesosphere Electric Dynamics/Sounding of the Atmosphere using Broadband Emission Radiometry (TIMED/SABER). Comparisons show that the observed and modeled daily zonal mean temperatures are correlated (r ∼0.5–0.7) at most latitudes between ±50°. Both the observations and simulations show an annual variation at mid-latitudes in two hemispheres with the temperature maximum in summer and the minimum in winter, and at lower latitudes the semiannual variation becomes stronger having the temperature maximums at equinoxes and the minimums during solstices. However, the temperatures observed are on average ∼5–10 K (3%–5%) smaller than the model and the observations show a larger variability. Moreover, migrating tidal amplitudes are mostly overestimated by the model. Though differences are noticed, the WACCM-X simulations with NAVGEM-HA meteorological analyses are overall consistent with the SABER observations. These results support that whole atmosphere models informed by high altitude observations would help to simulate the UMLT variability and the atmosphere and ionosphere coupling.</description><identifier>ISSN: 2169-9380</identifier><identifier>EISSN: 2169-9402</identifier><identifier>DOI: 10.1029/2024JA032536</identifier><language>eng</language><publisher>Goddard Space Flight Center: American Geophysical Union</publisher><subject>Altitude ; Annual variations ; Atmosphere ; Atmospheric models ; Broadband ; Climate models ; Coupling ; data and model comparison ; Emission ; Environmental modeling ; Hemispheres ; High altitude ; Ionosphere ; Ionospheric models ; Latitude ; Lower atmosphere ; Lower thermosphere ; Mean temperatures ; Mesosphere ; mesosphere and lower thermosphere ; meteorological analysis ; Meteorology and Climatology ; Navy ; Radiometry ; Satellite observation ; Simulation ; Sounding ; Space Sciences (General) ; Spacecraft ; Thermosphere ; Tidal amplitude ; tides ; Upper atmosphere ; whole atmosphere model</subject><ispartof>Journal of geophysical research. Space physics, 2024-04, Vol.129 (4), p.n/a</ispartof><rights>Copyright Determination: PUBLIC_USE_PERMITTED</rights><rights>2024. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2856-ca1383476931e1455cbcdf089c66291357326be2830891594139ce1434c6131d3</cites><orcidid>0000-0003-3027-8399 ; 0000-0001-8321-6074 ; 0000-0001-9235-409X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2024JA032536$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2024JA032536$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,796,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Liu, Guiping</creatorcontrib><creatorcontrib>Klenzing, Jeffrey H.</creatorcontrib><creatorcontrib>McDonald, Sarah E.</creatorcontrib><creatorcontrib>Sassi, Fabrizio</creatorcontrib><creatorcontrib>Rowland, Douglas E.</creatorcontrib><title>Mesosphere and Lower Thermosphere Temperatures Simulated by WACCM‐X With NAVGEM‐HA Meteorological Analyses and Compared to SABER Observations</title><title>Journal of geophysical research. Space physics</title><description>Realistic modeling of the dynamics and variability in the upper mesosphere and lower thermosphere (UMLT) is critical to understand the coupling between different layers of the whole atmosphere system. Here we present simulations of the UMLT temperatures at ∼100 km altitude for one year during 2014 by the Whole Atmosphere Community Climate Model with thermosphere-ionosphere extension (WACCM-X) constrained below ∼90 km using meteorological analysis products of the high-altitude version of Navy Global Environmental Model (NAVGEM-HA). The model results are sampled at the same times and latitudes and longitudes as the satellite observations from Thermosphere Ionosphere and Mesosphere Electric Dynamics/Sounding of the Atmosphere using Broadband Emission Radiometry (TIMED/SABER). Comparisons show that the observed and modeled daily zonal mean temperatures are correlated (r ∼0.5–0.7) at most latitudes between ±50°. Both the observations and simulations show an annual variation at mid-latitudes in two hemispheres with the temperature maximum in summer and the minimum in winter, and at lower latitudes the semiannual variation becomes stronger having the temperature maximums at equinoxes and the minimums during solstices. However, the temperatures observed are on average ∼5–10 K (3%–5%) smaller than the model and the observations show a larger variability. Moreover, migrating tidal amplitudes are mostly overestimated by the model. Though differences are noticed, the WACCM-X simulations with NAVGEM-HA meteorological analyses are overall consistent with the SABER observations. These results support that whole atmosphere models informed by high altitude observations would help to simulate the UMLT variability and the atmosphere and ionosphere coupling.</description><subject>Altitude</subject><subject>Annual variations</subject><subject>Atmosphere</subject><subject>Atmospheric models</subject><subject>Broadband</subject><subject>Climate models</subject><subject>Coupling</subject><subject>data and model comparison</subject><subject>Emission</subject><subject>Environmental modeling</subject><subject>Hemispheres</subject><subject>High altitude</subject><subject>Ionosphere</subject><subject>Ionospheric models</subject><subject>Latitude</subject><subject>Lower atmosphere</subject><subject>Lower thermosphere</subject><subject>Mean temperatures</subject><subject>Mesosphere</subject><subject>mesosphere and lower thermosphere</subject><subject>meteorological analysis</subject><subject>Meteorology and Climatology</subject><subject>Navy</subject><subject>Radiometry</subject><subject>Satellite observation</subject><subject>Simulation</subject><subject>Sounding</subject><subject>Space Sciences (General)</subject><subject>Spacecraft</subject><subject>Thermosphere</subject><subject>Tidal amplitude</subject><subject>tides</subject><subject>Upper atmosphere</subject><subject>whole atmosphere model</subject><issn>2169-9380</issn><issn>2169-9402</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>CYI</sourceid><recordid>eNp9kL1OwzAUhSMEEgjYGBkssVKwfWMTjyEqBdSC1JafLXLdWwhK4mCnoG48ArwiT4JLQWLCi32PvnN9dKJoj9EjRrk65pTHlykFLkCuRVucSdVRMeXrv29I6Ga06_0TDScJEhNb0ccAvfXNIzokup6Svn1FR8Zhrn7lMVYNOt3OHXoyKqp5qVucksmC3KVZNvh8e78nd0X7SK7S2153OZ-nZIAtWmdL-1AYXZK01uXCB__yj8xWjXZhRWvJKD3tDsn1xKN70W1ha78Tbcx06XH3596Obs664-y807_uXWRpv2N4ImTHaAYJxCdSAUMWC2EmZjqjiTJScsVAnACXE-QJBI0JFTNQJoAQG8mATWE7OljtbZx9nqNv8yc7dyGnz4HGAkJJHAJ1uKKMs947nOWNKyrtFjmj-bL3_G_vAYcV_lqUuPiXzS97w1QkoJau_ZWr1l7ndev8NxkSxDIk-QJtw4wS</recordid><startdate>202404</startdate><enddate>202404</enddate><creator>Liu, Guiping</creator><creator>Klenzing, Jeffrey H.</creator><creator>McDonald, Sarah E.</creator><creator>Sassi, Fabrizio</creator><creator>Rowland, Douglas E.</creator><general>American Geophysical Union</general><general>Blackwell Publishing Ltd</general><scope>CYE</scope><scope>CYI</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>8FD</scope><scope>H8D</scope><scope>KL.</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-3027-8399</orcidid><orcidid>https://orcid.org/0000-0001-8321-6074</orcidid><orcidid>https://orcid.org/0000-0001-9235-409X</orcidid></search><sort><creationdate>202404</creationdate><title>Mesosphere and Lower Thermosphere Temperatures Simulated by WACCM‐X With NAVGEM‐HA Meteorological Analyses and Compared to SABER Observations</title><author>Liu, Guiping ; Klenzing, Jeffrey H. ; McDonald, Sarah E. ; Sassi, Fabrizio ; Rowland, Douglas E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2856-ca1383476931e1455cbcdf089c66291357326be2830891594139ce1434c6131d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Altitude</topic><topic>Annual variations</topic><topic>Atmosphere</topic><topic>Atmospheric models</topic><topic>Broadband</topic><topic>Climate models</topic><topic>Coupling</topic><topic>data and model comparison</topic><topic>Emission</topic><topic>Environmental modeling</topic><topic>Hemispheres</topic><topic>High altitude</topic><topic>Ionosphere</topic><topic>Ionospheric models</topic><topic>Latitude</topic><topic>Lower atmosphere</topic><topic>Lower thermosphere</topic><topic>Mean temperatures</topic><topic>Mesosphere</topic><topic>mesosphere and lower thermosphere</topic><topic>meteorological analysis</topic><topic>Meteorology and Climatology</topic><topic>Navy</topic><topic>Radiometry</topic><topic>Satellite observation</topic><topic>Simulation</topic><topic>Sounding</topic><topic>Space Sciences (General)</topic><topic>Spacecraft</topic><topic>Thermosphere</topic><topic>Tidal amplitude</topic><topic>tides</topic><topic>Upper atmosphere</topic><topic>whole atmosphere model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Guiping</creatorcontrib><creatorcontrib>Klenzing, Jeffrey H.</creatorcontrib><creatorcontrib>McDonald, Sarah E.</creatorcontrib><creatorcontrib>Sassi, Fabrizio</creatorcontrib><creatorcontrib>Rowland, Douglas E.</creatorcontrib><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Space physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Guiping</au><au>Klenzing, Jeffrey H.</au><au>McDonald, Sarah E.</au><au>Sassi, Fabrizio</au><au>Rowland, Douglas E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mesosphere and Lower Thermosphere Temperatures Simulated by WACCM‐X With NAVGEM‐HA Meteorological Analyses and Compared to SABER Observations</atitle><jtitle>Journal of geophysical research. Space physics</jtitle><date>2024-04</date><risdate>2024</risdate><volume>129</volume><issue>4</issue><epage>n/a</epage><issn>2169-9380</issn><eissn>2169-9402</eissn><abstract>Realistic modeling of the dynamics and variability in the upper mesosphere and lower thermosphere (UMLT) is critical to understand the coupling between different layers of the whole atmosphere system. Here we present simulations of the UMLT temperatures at ∼100 km altitude for one year during 2014 by the Whole Atmosphere Community Climate Model with thermosphere-ionosphere extension (WACCM-X) constrained below ∼90 km using meteorological analysis products of the high-altitude version of Navy Global Environmental Model (NAVGEM-HA). The model results are sampled at the same times and latitudes and longitudes as the satellite observations from Thermosphere Ionosphere and Mesosphere Electric Dynamics/Sounding of the Atmosphere using Broadband Emission Radiometry (TIMED/SABER). Comparisons show that the observed and modeled daily zonal mean temperatures are correlated (r ∼0.5–0.7) at most latitudes between ±50°. Both the observations and simulations show an annual variation at mid-latitudes in two hemispheres with the temperature maximum in summer and the minimum in winter, and at lower latitudes the semiannual variation becomes stronger having the temperature maximums at equinoxes and the minimums during solstices. However, the temperatures observed are on average ∼5–10 K (3%–5%) smaller than the model and the observations show a larger variability. Moreover, migrating tidal amplitudes are mostly overestimated by the model. Though differences are noticed, the WACCM-X simulations with NAVGEM-HA meteorological analyses are overall consistent with the SABER observations. These results support that whole atmosphere models informed by high altitude observations would help to simulate the UMLT variability and the atmosphere and ionosphere coupling.</abstract><cop>Goddard Space Flight Center</cop><pub>American Geophysical Union</pub><doi>10.1029/2024JA032536</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3027-8399</orcidid><orcidid>https://orcid.org/0000-0001-8321-6074</orcidid><orcidid>https://orcid.org/0000-0001-9235-409X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Altitude Annual variations Atmosphere Atmospheric models Broadband Climate models Coupling data and model comparison Emission Environmental modeling Hemispheres High altitude Ionosphere Ionospheric models Latitude Lower atmosphere Lower thermosphere Mean temperatures Mesosphere mesosphere and lower thermosphere meteorological analysis Meteorology and Climatology Navy Radiometry Satellite observation Simulation Sounding Space Sciences (General) Spacecraft Thermosphere Tidal amplitude tides Upper atmosphere whole atmosphere model |
title | Mesosphere and Lower Thermosphere Temperatures Simulated by WACCM‐X With NAVGEM‐HA Meteorological Analyses and Compared to SABER Observations |
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