TY - JOUR
T1 - Connecting land–atmosphere interactions to surface heterogeneity in CHEESEHEAD19
AU - Butterworth, Brian J.
AU - Desai, Ankur R.
AU - Metzger, Stefan
AU - Townsend, Philip A.
AU - Schwartz, Mark D.
AU - Petty, Grant W.
AU - Mauder, Matthias
AU - Vogelmann, Hannes
AU - Andresen, Christian G.
AU - Augustine, Travis J.
AU - Bertram, Timothy H.
AU - Brown, William O.J.
AU - Buban, Michael
AU - Cleary, Patricia
AU - Durden, David J.
AU - Florian, Christopher R.
AU - Iglinski, Trevor J.
AU - Kruger, Eric L.
AU - Lantz, Kathleen
AU - Lee, Temple R.
AU - Meyers, Tilden P.
AU - Mineau, James K.
AU - Olson, Erik R.
AU - Oncley, Steven P.
AU - Paleri, Sreenath
AU - Pertzborn, Rosalyn A.
AU - Pettersen, Claire
AU - Plummer, David M.
AU - Riihimaki, Laura D.
AU - Guzman, Eliceo Ruiz
AU - Sedlar, Joseph
AU - Smith, Elizabeth N.
AU - Speidel, Johannes
AU - Stoy, Paul C.
AU - Sühring, Matthias
AU - Thom, Jonathan E.
AU - Turner, David D.
AU - Vermeuel, Michael P.
AU - Wagner, Timothy J.
AU - Wang, Zhien
AU - Wanner, Luise
AU - White, Loren D.
AU - Wilczak, James M.
AU - Wright, Daniel B.
AU - Zheng, Ting
N1 - Publisher Copyright:
© 2021 American Meteorological Society.
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85102371036
U2 - 10.1175/BAMS-D-19-0346.1
DO - 10.1175/BAMS-D-19-0346.1
M3 - Article
AN - SCOPUS:85102371036
SN - 0003-0007
VL - 102
SP - E421-E445
JO - Bulletin of the American Meteorological Society
JF - Bulletin of the American Meteorological Society
IS - 2
ER -