Abstract
The atmospheric boundary layer mediates the exchange of energy, matter, and momentum between the land surface and the free troposphere, integrating a range of physical, chemical, and biological processes and is defined as the lowest layer of the atmosphere (ranging from a few meters to 3 km). In this review, we investigate how continuous, automated observations of the atmospheric boundary layer can enhance the scientific value of co-located eddy covariance measurements of land-atmosphere fluxes of carbon, water, and energy, as are being made at FLUXNET sites worldwide. We highlight four key opportunities to integrate tower-based flux measurements with continuous, long-term atmospheric boundary layer measurements: (1) to interpret surface flux and atmospheric boundary layer exchange dynamics and feedbacks at flux tower sites, (2) to support flux footprint modelling, the interpretation of surface fluxes in heterogeneous and mountainous terrain, and quality control of eddy covariance flux measurements, (3) to support regional-scale modeling and upscaling of surface fluxes to continental scales, and (4) to quantify land-atmosphere coupling and validate its representation in Earth system models. Adding a suite of atmospheric boundary layer measurements to eddy covariance flux tower sites, and supporting the sharing of these data to tower networks, would allow the Earth science community to address new emerging research questions, better interpret ongoing flux tower measurements, and would present novel opportunities for collaborations between FLUXNET scientists and atmospheric and remote sensing scientists.
Original language | English |
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Article number | 108509 |
Number of pages | 24 |
Journal | Agricultural and Forest Meteorology |
Volume | 307 |
Early online date | 2021 Jul 1 |
DOIs | |
Publication status | Published - 2021 Sept 15 |
Bibliographical note
Funding Information:ADR acknowledges support from the Department of Energy ( DE-SC0017167 ) and National Science Foundation (DEB-1702697 ). Lawrence Livermore National Laboratory is operated by Lawrence Livermore National Security, LLC, for the U.S. Department of Energy, National Nuclear Security Administration under Contract DE-AC52-07NA27344 . ARD acknowledges support from the DOE Ameriflux Network Management Project and NSF # 1822420 . Observations from the Atmospheric Radiation Measurement (ARM) user facility are supported by the U.S. Department of Energy (DOE) Office of Science user facility managed by the Biological and Environmental Research Program. Work at ANL was supported by the U.S. Department of Energy , Office of Science, Office of Biological and Environmental Research, under contract DE‐A C02‐06CH11357 . KJD and TG acknowledge support from NASA's Earth Science Division via Grant NNX15AG76G . KJD also acknowledges support from NIST via grant 70NANB19H128 . Figs. 1 , 3 , 4 , 8 , and 10 were created with Biorender.com.
Funding Information:
ADR acknowledges support from the Department of Energy (DE-SC0017167) and National Science Foundation (DEB-1702697). Lawrence Livermore National Laboratory is operated by Lawrence Livermore National Security, LLC, for the U.S. Department of Energy, National Nuclear Security Administration under Contract DE-AC52-07NA27344. ARD acknowledges support from the DOE Ameriflux Network Management Project and NSF #1822420. Observations from the Atmospheric Radiation Measurement (ARM) user facility are supported by the U.S. Department of Energy (DOE) Office of Science user facility managed by the Biological and Environmental Research Program. Work at ANL was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, under contract DE?AC02?06CH11357. KJD and TG acknowledge support from NASA's Earth Science Division via Grant NNX15AG76G. KJD also acknowledges support from NIST via grant 70NANB19H128. Figs. 1, 3, 4, 8, and 10 were created with Biorender.com.
Publisher Copyright:
© 2021 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Subject classification (UKÄ)
- Meteorology and Atmospheric Sciences
Free keywords
- Atmospheric inversion
- Atmospheric inversion models
- Boundary layer
- Eddy covariance
- Land-atmosphere
- Micrometeorology
- Remote sensing