Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19
The Chequamegon Heterogeneous Ecosystem Energy-Balance Study Enabled by a High-Density Extensive Array of Detectors 2019 (CHEESEHEAD19) is an ongoing National Science Foundation project based on an intensive field campaign that occurred from June to October 2019. The purpose of the study is to exami...
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Veröffentlicht in: | Bulletin of the American Meteorological Society 2021-02, Vol.102 (2), p.E421-E445 |
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creator | Butterworth, Brian J. Desai, Ankur R. Metzger, Stefan Townsend, Philip A. Schwartz, Mark D. Petty, Grant W. Mauder, Matthias Vogelmann, Hannes Andresen, Christian G. Augustine, Travis J. Bertram, Timothy H. Brown, William O. J. Buban, Michael Cleary, Patricia Durden, David J. Florian, Christopher R. Iglinski, Trevor J. Kruger, Eric L. Lantz, Kathleen Lee, Temple R. Meyers, Tilden P. Mineau, James K. Olson, Erik R. Oncley, Steven P. Paleri, Sreenath Pertzborn, Rosalyn A. Pettersen, Claire Plummer, David M. Riihimaki, Laura D. Guzman, Eliceo Ruiz Sedlar, Joseph Smith, Elizabeth N. Speidel, Johannes Stoy, Paul C. Sühring, Matthias Thom, Jonathan E. Turner, David D. Vermeuel, Michael P. Wagner, Timothy J. Wang, Zhien Wanner, Luise White, Loren D. Wilczak, James M. Wright, Daniel B. Zheng, Ting |
description | The Chequamegon Heterogeneous Ecosystem Energy-Balance Study Enabled by a High-Density Extensive Array of Detectors 2019 (CHEESEHEAD19) is an ongoing National Science Foundation project based on an intensive field campaign that occurred from June to October 2019. The purpose of the study is to examine how the atmospheric boundary layer (ABL) responds to spatial heterogeneity in surface energy fluxes. One of the main objectives is to test whether lack of energy balance closure measured by eddy covariance (EC) towers is related to mesoscale atmospheric processes. Finally, the project evaluates data-driven methods for scaling surface energy fluxes, with the aim to improve model–data comparison and integration. To address these questions, an extensive suite of ground, tower, profiling, and airborne instrumentation was deployed over a 10 km × 10 km domain of a heterogeneous forest ecosystem in the Chequamegon–Nicolet National Forest in northern Wisconsin, United States, centered on an existing 447-m tower that anchors an AmeriFlux/NOAA supersite (US-PFa/WLEF). The project deployed one of the world’s highest-density networks of above-canopy EC measurements of surface energy fluxes. This tower EC network was coupled with spatial measurements of EC fluxes from aircraft; maps of leaf and canopy properties derived from airborne spectroscopy, ground-based measurements of plant productivity, phenology, and physiology; and atmospheric profiles of wind, water vapor, and temperature using radar, sodar, lidar, microwave radiometers, infrared interferometers, and radiosondes. These observations are being used with large-eddy simulation and scaling experiments to better understand submesoscale processes and improve formulations of subgrid-scale processes in numerical weather and climate models. |
doi_str_mv | 10.1175/BAMS-D-19-0346.1 |
format | Article |
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J. ; Buban, Michael ; Cleary, Patricia ; Durden, David J. ; Florian, Christopher R. ; Iglinski, Trevor J. ; Kruger, Eric L. ; Lantz, Kathleen ; Lee, Temple R. ; Meyers, Tilden P. ; Mineau, James K. ; Olson, Erik R. ; Oncley, Steven P. ; Paleri, Sreenath ; Pertzborn, Rosalyn A. ; Pettersen, Claire ; Plummer, David M. ; Riihimaki, Laura D. ; Guzman, Eliceo Ruiz ; Sedlar, Joseph ; Smith, Elizabeth N. ; Speidel, Johannes ; Stoy, Paul C. ; Sühring, Matthias ; Thom, Jonathan E. ; Turner, David D. ; Vermeuel, Michael P. ; Wagner, Timothy J. ; Wang, Zhien ; Wanner, Luise ; White, Loren D. ; Wilczak, James M. ; Wright, Daniel B. ; Zheng, Ting</creator><creatorcontrib>Butterworth, Brian J. ; Desai, Ankur R. ; Metzger, Stefan ; Townsend, Philip A. ; Schwartz, Mark D. ; Petty, Grant W. ; Mauder, Matthias ; Vogelmann, Hannes ; Andresen, Christian G. ; Augustine, Travis J. ; Bertram, Timothy H. ; Brown, William O. J. ; Buban, Michael ; Cleary, Patricia ; Durden, David J. ; Florian, Christopher R. ; Iglinski, Trevor J. ; Kruger, Eric L. ; Lantz, Kathleen ; Lee, Temple R. ; Meyers, Tilden P. ; Mineau, James K. ; Olson, Erik R. ; Oncley, Steven P. ; Paleri, Sreenath ; Pertzborn, Rosalyn A. ; Pettersen, Claire ; Plummer, David M. ; Riihimaki, Laura D. ; Guzman, Eliceo Ruiz ; Sedlar, Joseph ; Smith, Elizabeth N. ; Speidel, Johannes ; Stoy, Paul C. ; Sühring, Matthias ; Thom, Jonathan E. ; Turner, David D. ; Vermeuel, Michael P. ; Wagner, Timothy J. ; Wang, Zhien ; Wanner, Luise ; White, Loren D. ; Wilczak, James M. ; Wright, Daniel B. ; Zheng, Ting</creatorcontrib><description>The Chequamegon Heterogeneous Ecosystem Energy-Balance Study Enabled by a High-Density Extensive Array of Detectors 2019 (CHEESEHEAD19) is an ongoing National Science Foundation project based on an intensive field campaign that occurred from June to October 2019. The purpose of the study is to examine how the atmospheric boundary layer (ABL) responds to spatial heterogeneity in surface energy fluxes. One of the main objectives is to test whether lack of energy balance closure measured by eddy covariance (EC) towers is related to mesoscale atmospheric processes. Finally, the project evaluates data-driven methods for scaling surface energy fluxes, with the aim to improve model–data comparison and integration. To address these questions, an extensive suite of ground, tower, profiling, and airborne instrumentation was deployed over a 10 km × 10 km domain of a heterogeneous forest ecosystem in the Chequamegon–Nicolet National Forest in northern Wisconsin, United States, centered on an existing 447-m tower that anchors an AmeriFlux/NOAA supersite (US-PFa/WLEF). The project deployed one of the world’s highest-density networks of above-canopy EC measurements of surface energy fluxes. This tower EC network was coupled with spatial measurements of EC fluxes from aircraft; maps of leaf and canopy properties derived from airborne spectroscopy, ground-based measurements of plant productivity, phenology, and physiology; and atmospheric profiles of wind, water vapor, and temperature using radar, sodar, lidar, microwave radiometers, infrared interferometers, and radiosondes. These observations are being used with large-eddy simulation and scaling experiments to better understand submesoscale processes and improve formulations of subgrid-scale processes in numerical weather and climate models.</description><identifier>ISSN: 0003-0007</identifier><identifier>EISSN: 1520-0477</identifier><identifier>DOI: 10.1175/BAMS-D-19-0346.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Airborne instruments ; Airborne sensing ; Analytical methods ; Atmospheric boundary layer ; Atmospheric models ; Atmospheric processes ; Boreal ecosystems ; Boundary layers ; Canopies ; Canopy ; Climate models ; Connecting ; Covariance ; Data comparison ; Density ; Detectors ; Eddy covariance ; Energy ; Energy balance ; Experiments ; Fluxes ; Forest ecosystems ; Heterogeneity ; Hypotheses ; Infrared interferometers ; Infrared radiometers ; Instrumentation ; Large eddy simulation ; Large eddy simulations ; Lidar ; Microwave imagery ; Microwave radiometers ; National forests ; Ocean circulation ; Oceanic eddies ; Patchiness ; Radar ; Radiometers ; Radiosondes ; Scaling ; Spatial heterogeneity ; Spectroscopy ; Surface energy ; Surface properties ; Towers ; Vegetation ; Vortices ; Water vapor ; Water vapour ; Weather</subject><ispartof>Bulletin of the American Meteorological Society, 2021-02, Vol.102 (2), p.E421-E445</ispartof><rights>2021 American Meteorological Society</rights><rights>Copyright American Meteorological Society Feb 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c335t-ad800667a4dbdb31444f5712ef0d1717e039d407b5e8f78ef82d48e38a5b6e953</citedby><cites>FETCH-LOGICAL-c335t-ad800667a4dbdb31444f5712ef0d1717e039d407b5e8f78ef82d48e38a5b6e953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3668,27901,27902</link.rule.ids></links><search><creatorcontrib>Butterworth, Brian J.</creatorcontrib><creatorcontrib>Desai, Ankur R.</creatorcontrib><creatorcontrib>Metzger, Stefan</creatorcontrib><creatorcontrib>Townsend, Philip A.</creatorcontrib><creatorcontrib>Schwartz, Mark D.</creatorcontrib><creatorcontrib>Petty, Grant W.</creatorcontrib><creatorcontrib>Mauder, Matthias</creatorcontrib><creatorcontrib>Vogelmann, Hannes</creatorcontrib><creatorcontrib>Andresen, Christian G.</creatorcontrib><creatorcontrib>Augustine, Travis J.</creatorcontrib><creatorcontrib>Bertram, Timothy H.</creatorcontrib><creatorcontrib>Brown, William O. J.</creatorcontrib><creatorcontrib>Buban, Michael</creatorcontrib><creatorcontrib>Cleary, Patricia</creatorcontrib><creatorcontrib>Durden, David J.</creatorcontrib><creatorcontrib>Florian, Christopher R.</creatorcontrib><creatorcontrib>Iglinski, Trevor J.</creatorcontrib><creatorcontrib>Kruger, Eric L.</creatorcontrib><creatorcontrib>Lantz, Kathleen</creatorcontrib><creatorcontrib>Lee, Temple R.</creatorcontrib><creatorcontrib>Meyers, Tilden P.</creatorcontrib><creatorcontrib>Mineau, James K.</creatorcontrib><creatorcontrib>Olson, Erik R.</creatorcontrib><creatorcontrib>Oncley, Steven P.</creatorcontrib><creatorcontrib>Paleri, Sreenath</creatorcontrib><creatorcontrib>Pertzborn, Rosalyn A.</creatorcontrib><creatorcontrib>Pettersen, Claire</creatorcontrib><creatorcontrib>Plummer, David M.</creatorcontrib><creatorcontrib>Riihimaki, Laura D.</creatorcontrib><creatorcontrib>Guzman, Eliceo Ruiz</creatorcontrib><creatorcontrib>Sedlar, Joseph</creatorcontrib><creatorcontrib>Smith, Elizabeth N.</creatorcontrib><creatorcontrib>Speidel, Johannes</creatorcontrib><creatorcontrib>Stoy, Paul C.</creatorcontrib><creatorcontrib>Sühring, Matthias</creatorcontrib><creatorcontrib>Thom, Jonathan E.</creatorcontrib><creatorcontrib>Turner, David D.</creatorcontrib><creatorcontrib>Vermeuel, Michael P.</creatorcontrib><creatorcontrib>Wagner, Timothy J.</creatorcontrib><creatorcontrib>Wang, Zhien</creatorcontrib><creatorcontrib>Wanner, Luise</creatorcontrib><creatorcontrib>White, Loren D.</creatorcontrib><creatorcontrib>Wilczak, James M.</creatorcontrib><creatorcontrib>Wright, Daniel B.</creatorcontrib><creatorcontrib>Zheng, Ting</creatorcontrib><title>Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19</title><title>Bulletin of the American Meteorological Society</title><description>The Chequamegon Heterogeneous Ecosystem Energy-Balance Study Enabled by a High-Density Extensive Array of Detectors 2019 (CHEESEHEAD19) is an ongoing National Science Foundation project based on an intensive field campaign that occurred from June to October 2019. The purpose of the study is to examine how the atmospheric boundary layer (ABL) responds to spatial heterogeneity in surface energy fluxes. One of the main objectives is to test whether lack of energy balance closure measured by eddy covariance (EC) towers is related to mesoscale atmospheric processes. Finally, the project evaluates data-driven methods for scaling surface energy fluxes, with the aim to improve model–data comparison and integration. To address these questions, an extensive suite of ground, tower, profiling, and airborne instrumentation was deployed over a 10 km × 10 km domain of a heterogeneous forest ecosystem in the Chequamegon–Nicolet National Forest in northern Wisconsin, United States, centered on an existing 447-m tower that anchors an AmeriFlux/NOAA supersite (US-PFa/WLEF). The project deployed one of the world’s highest-density networks of above-canopy EC measurements of surface energy fluxes. This tower EC network was coupled with spatial measurements of EC fluxes from aircraft; maps of leaf and canopy properties derived from airborne spectroscopy, ground-based measurements of plant productivity, phenology, and physiology; and atmospheric profiles of wind, water vapor, and temperature using radar, sodar, lidar, microwave radiometers, infrared interferometers, and radiosondes. These observations are being used with large-eddy simulation and scaling experiments to better understand submesoscale processes and improve formulations of subgrid-scale processes in numerical weather and climate models.</description><subject>Airborne instruments</subject><subject>Airborne sensing</subject><subject>Analytical methods</subject><subject>Atmospheric boundary layer</subject><subject>Atmospheric models</subject><subject>Atmospheric processes</subject><subject>Boreal ecosystems</subject><subject>Boundary layers</subject><subject>Canopies</subject><subject>Canopy</subject><subject>Climate models</subject><subject>Connecting</subject><subject>Covariance</subject><subject>Data comparison</subject><subject>Density</subject><subject>Detectors</subject><subject>Eddy covariance</subject><subject>Energy</subject><subject>Energy balance</subject><subject>Experiments</subject><subject>Fluxes</subject><subject>Forest ecosystems</subject><subject>Heterogeneity</subject><subject>Hypotheses</subject><subject>Infrared interferometers</subject><subject>Infrared radiometers</subject><subject>Instrumentation</subject><subject>Large eddy simulation</subject><subject>Large eddy simulations</subject><subject>Lidar</subject><subject>Microwave imagery</subject><subject>Microwave radiometers</subject><subject>National forests</subject><subject>Ocean circulation</subject><subject>Oceanic eddies</subject><subject>Patchiness</subject><subject>Radar</subject><subject>Radiometers</subject><subject>Radiosondes</subject><subject>Scaling</subject><subject>Spatial heterogeneity</subject><subject>Spectroscopy</subject><subject>Surface energy</subject><subject>Surface properties</subject><subject>Towers</subject><subject>Vegetation</subject><subject>Vortices</subject><subject>Water vapor</subject><subject>Water vapour</subject><subject>Weather</subject><issn>0003-0007</issn><issn>1520-0477</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNo9kMFOwzAMhiMEEmNw54JUiXNH3CRNeyxdoZOGkBico7R1RyeWjKQ77MY78IY8Ca2GuNiy_f2_pZ-Qa6AzACnu7rOnVTgPIQ0p4_EMTsgERERDyqU8JRNKKQuHIs_JhfebcWQJTMhLbo3Buu_MOlhq0_x8fWf91vrdOzoMFqZHp4erNT7obbDau1bXGJQ47O0aDXb9IehMkJdFsSrKIptDeknOWv3h8eqvT8nbQ_Gal-Hy-XGRZ8uwZkz0oW4SSuNYat5UTcWAc94KCRG2tAEJEilLG05lJTBpZYJtEjU8QZZoUcWYCjYlt0ffnbOfe_S92ti9M8NLFQkAiKM0GSl6pGpnvXfYqp3rttodFFA1JqfG5NRcQarG5BQMkpujZON76_75SEZUQgrsFymyanA</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Butterworth, Brian J.</creator><creator>Desai, Ankur R.</creator><creator>Metzger, Stefan</creator><creator>Townsend, Philip A.</creator><creator>Schwartz, Mark D.</creator><creator>Petty, Grant W.</creator><creator>Mauder, Matthias</creator><creator>Vogelmann, Hannes</creator><creator>Andresen, Christian G.</creator><creator>Augustine, Travis J.</creator><creator>Bertram, Timothy H.</creator><creator>Brown, William O. 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J. ; Buban, Michael ; Cleary, Patricia ; Durden, David J. ; Florian, Christopher R. ; Iglinski, Trevor J. ; Kruger, Eric L. ; Lantz, Kathleen ; Lee, Temple R. ; Meyers, Tilden P. ; Mineau, James K. ; Olson, Erik R. ; Oncley, Steven P. ; Paleri, Sreenath ; Pertzborn, Rosalyn A. ; Pettersen, Claire ; Plummer, David M. ; Riihimaki, Laura D. ; Guzman, Eliceo Ruiz ; Sedlar, Joseph ; Smith, Elizabeth N. ; Speidel, Johannes ; Stoy, Paul C. ; Sühring, Matthias ; Thom, Jonathan E. ; Turner, David D. ; Vermeuel, Michael P. ; Wagner, Timothy J. ; Wang, Zhien ; Wanner, Luise ; White, Loren D. ; Wilczak, James M. ; Wright, Daniel B. ; Zheng, Ting</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c335t-ad800667a4dbdb31444f5712ef0d1717e039d407b5e8f78ef82d48e38a5b6e953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Airborne instruments</topic><topic>Airborne sensing</topic><topic>Analytical methods</topic><topic>Atmospheric boundary layer</topic><topic>Atmospheric models</topic><topic>Atmospheric processes</topic><topic>Boreal ecosystems</topic><topic>Boundary layers</topic><topic>Canopies</topic><topic>Canopy</topic><topic>Climate models</topic><topic>Connecting</topic><topic>Covariance</topic><topic>Data comparison</topic><topic>Density</topic><topic>Detectors</topic><topic>Eddy covariance</topic><topic>Energy</topic><topic>Energy balance</topic><topic>Experiments</topic><topic>Fluxes</topic><topic>Forest ecosystems</topic><topic>Heterogeneity</topic><topic>Hypotheses</topic><topic>Infrared interferometers</topic><topic>Infrared radiometers</topic><topic>Instrumentation</topic><topic>Large eddy simulation</topic><topic>Large eddy simulations</topic><topic>Lidar</topic><topic>Microwave imagery</topic><topic>Microwave radiometers</topic><topic>National forests</topic><topic>Ocean circulation</topic><topic>Oceanic eddies</topic><topic>Patchiness</topic><topic>Radar</topic><topic>Radiometers</topic><topic>Radiosondes</topic><topic>Scaling</topic><topic>Spatial heterogeneity</topic><topic>Spectroscopy</topic><topic>Surface energy</topic><topic>Surface properties</topic><topic>Towers</topic><topic>Vegetation</topic><topic>Vortices</topic><topic>Water vapor</topic><topic>Water vapour</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Butterworth, Brian J.</creatorcontrib><creatorcontrib>Desai, Ankur R.</creatorcontrib><creatorcontrib>Metzger, Stefan</creatorcontrib><creatorcontrib>Townsend, Philip A.</creatorcontrib><creatorcontrib>Schwartz, Mark D.</creatorcontrib><creatorcontrib>Petty, Grant W.</creatorcontrib><creatorcontrib>Mauder, Matthias</creatorcontrib><creatorcontrib>Vogelmann, Hannes</creatorcontrib><creatorcontrib>Andresen, Christian G.</creatorcontrib><creatorcontrib>Augustine, Travis J.</creatorcontrib><creatorcontrib>Bertram, Timothy H.</creatorcontrib><creatorcontrib>Brown, William O. J.</creatorcontrib><creatorcontrib>Buban, Michael</creatorcontrib><creatorcontrib>Cleary, Patricia</creatorcontrib><creatorcontrib>Durden, David J.</creatorcontrib><creatorcontrib>Florian, Christopher R.</creatorcontrib><creatorcontrib>Iglinski, Trevor J.</creatorcontrib><creatorcontrib>Kruger, Eric L.</creatorcontrib><creatorcontrib>Lantz, Kathleen</creatorcontrib><creatorcontrib>Lee, Temple R.</creatorcontrib><creatorcontrib>Meyers, Tilden P.</creatorcontrib><creatorcontrib>Mineau, James K.</creatorcontrib><creatorcontrib>Olson, Erik R.</creatorcontrib><creatorcontrib>Oncley, Steven P.</creatorcontrib><creatorcontrib>Paleri, Sreenath</creatorcontrib><creatorcontrib>Pertzborn, Rosalyn A.</creatorcontrib><creatorcontrib>Pettersen, Claire</creatorcontrib><creatorcontrib>Plummer, David M.</creatorcontrib><creatorcontrib>Riihimaki, Laura D.</creatorcontrib><creatorcontrib>Guzman, Eliceo Ruiz</creatorcontrib><creatorcontrib>Sedlar, Joseph</creatorcontrib><creatorcontrib>Smith, Elizabeth N.</creatorcontrib><creatorcontrib>Speidel, Johannes</creatorcontrib><creatorcontrib>Stoy, Paul C.</creatorcontrib><creatorcontrib>Sühring, Matthias</creatorcontrib><creatorcontrib>Thom, Jonathan E.</creatorcontrib><creatorcontrib>Turner, David D.</creatorcontrib><creatorcontrib>Vermeuel, Michael P.</creatorcontrib><creatorcontrib>Wagner, Timothy J.</creatorcontrib><creatorcontrib>Wang, Zhien</creatorcontrib><creatorcontrib>Wanner, Luise</creatorcontrib><creatorcontrib>White, Loren D.</creatorcontrib><creatorcontrib>Wilczak, James M.</creatorcontrib><creatorcontrib>Wright, Daniel B.</creatorcontrib><creatorcontrib>Zheng, Ting</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</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>eLibrary</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>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>Research Library</collection><collection>Science Database</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>University of Michigan</collection><collection>SIRS Editorial</collection><jtitle>Bulletin of the American Meteorological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Butterworth, Brian J.</au><au>Desai, Ankur R.</au><au>Metzger, Stefan</au><au>Townsend, Philip A.</au><au>Schwartz, Mark D.</au><au>Petty, Grant W.</au><au>Mauder, Matthias</au><au>Vogelmann, Hannes</au><au>Andresen, Christian G.</au><au>Augustine, Travis J.</au><au>Bertram, Timothy H.</au><au>Brown, William O. J.</au><au>Buban, Michael</au><au>Cleary, Patricia</au><au>Durden, David J.</au><au>Florian, Christopher R.</au><au>Iglinski, Trevor J.</au><au>Kruger, Eric L.</au><au>Lantz, Kathleen</au><au>Lee, Temple R.</au><au>Meyers, Tilden P.</au><au>Mineau, James K.</au><au>Olson, Erik R.</au><au>Oncley, Steven P.</au><au>Paleri, Sreenath</au><au>Pertzborn, Rosalyn A.</au><au>Pettersen, Claire</au><au>Plummer, David M.</au><au>Riihimaki, Laura D.</au><au>Guzman, Eliceo Ruiz</au><au>Sedlar, Joseph</au><au>Smith, Elizabeth N.</au><au>Speidel, Johannes</au><au>Stoy, Paul C.</au><au>Sühring, Matthias</au><au>Thom, Jonathan E.</au><au>Turner, David D.</au><au>Vermeuel, Michael P.</au><au>Wagner, Timothy J.</au><au>Wang, Zhien</au><au>Wanner, Luise</au><au>White, Loren D.</au><au>Wilczak, James M.</au><au>Wright, Daniel B.</au><au>Zheng, Ting</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19</atitle><jtitle>Bulletin of the American Meteorological Society</jtitle><date>2021-02-01</date><risdate>2021</risdate><volume>102</volume><issue>2</issue><spage>E421</spage><epage>E445</epage><pages>E421-E445</pages><issn>0003-0007</issn><eissn>1520-0477</eissn><abstract>The Chequamegon Heterogeneous Ecosystem Energy-Balance Study Enabled by a High-Density Extensive Array of Detectors 2019 (CHEESEHEAD19) is an ongoing National Science Foundation project based on an intensive field campaign that occurred from June to October 2019. The purpose of the study is to examine how the atmospheric boundary layer (ABL) responds to spatial heterogeneity in surface energy fluxes. One of the main objectives is to test whether lack of energy balance closure measured by eddy covariance (EC) towers is related to mesoscale atmospheric processes. Finally, the project evaluates data-driven methods for scaling surface energy fluxes, with the aim to improve model–data comparison and integration. To address these questions, an extensive suite of ground, tower, profiling, and airborne instrumentation was deployed over a 10 km × 10 km domain of a heterogeneous forest ecosystem in the Chequamegon–Nicolet National Forest in northern Wisconsin, United States, centered on an existing 447-m tower that anchors an AmeriFlux/NOAA supersite (US-PFa/WLEF). The project deployed one of the world’s highest-density networks of above-canopy EC measurements of surface energy fluxes. This tower EC network was coupled with spatial measurements of EC fluxes from aircraft; maps of leaf and canopy properties derived from airborne spectroscopy, ground-based measurements of plant productivity, phenology, and physiology; and atmospheric profiles of wind, water vapor, and temperature using radar, sodar, lidar, microwave radiometers, infrared interferometers, and radiosondes. These observations are being used with large-eddy simulation and scaling experiments to better understand submesoscale processes and improve formulations of subgrid-scale processes in numerical weather and climate models.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/BAMS-D-19-0346.1</doi><oa>free_for_read</oa></addata></record> |
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subjects | Airborne instruments Airborne sensing Analytical methods Atmospheric boundary layer Atmospheric models Atmospheric processes Boreal ecosystems Boundary layers Canopies Canopy Climate models Connecting Covariance Data comparison Density Detectors Eddy covariance Energy Energy balance Experiments Fluxes Forest ecosystems Heterogeneity Hypotheses Infrared interferometers Infrared radiometers Instrumentation Large eddy simulation Large eddy simulations Lidar Microwave imagery Microwave radiometers National forests Ocean circulation Oceanic eddies Patchiness Radar Radiometers Radiosondes Scaling Spatial heterogeneity Spectroscopy Surface energy Surface properties Towers Vegetation Vortices Water vapor Water vapour Weather |
title | Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19 |
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