Atmosphere-Surface Turbulent Exchange Study

Atmosphere-Surface Turbulent Exchange Study
Name	Atmosphere-Surface Turbulent Exchange Study
Location	Global

Atmosphere-Surface Turbulent Exchange Study The Atmosphere-Surface Turbulent Exchange Study was a coordinated research program investigating turbulent fluxes between the planetary boundary layer and the Earth's surface, integrating observations, theory, and modeling. It combined field experiments, laboratory work, and numerical simulations to advance understanding of momentum, heat, water vapor, and trace gas exchange across heterogeneous landscapes, influencing meteorology, hydrology, and climate research.

Introduction

The program drew personnel and resources from institutions such as National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, European Space Agency, Commonwealth Scientific and Industrial Research Organisation, Max Planck Society, Lawrence Berkeley National Laboratory, Scripps Institution of Oceanography, Woods Hole Oceanographic Institution, Jet Propulsion Laboratory, University of Cambridge, Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Princeton University, Columbia University, University of Oxford, University of Tokyo, University of Colorado Boulder, ETH Zurich, University of Melbourne, Imperial College London, University of Washington, CSIRO Marine and Atmospheric Research, Potsdam Institute for Climate Impact Research, National Centre for Atmospheric Science, Chinese Academy of Sciences, Indian Institute of Science, Korea Polar Research Institute, NASA Goddard Space Flight Center, NOAA Earth System Research Laboratories, European Centre for Medium-Range Weather Forecasts, UK Met Office, Met Office Hadley Centre, Beijing Normal University, University of Sao Paulo, University of British Columbia, McGill University, Australian National University, University of Copenhagen, University of Bergen, University of Helsinki, University of Toronto, McMaster University, University of California, Los Angeles, Ohio State University, Pennsylvania State University, University of Arizona, University of Utah, Reading School of Meteorology, University of Reading, University of Manchester, University of Leeds, University of Edinburgh, Max Planck Institute for Meteorology collaborated to address gaps identified by panels such as Intergovernmental Panel on Climate Change and advisory groups like National Research Council (United States). The initiative intersected with campaigns tied to programs like Global Energy and Water Exchanges and projects associated with satellites such as GOES-R and Sentinel-3.

Objectives and Scope

The study set out to quantify turbulent exchange processes across ecosystems represented by sites managed by USDA Forest Service, National Park Service, Bureau of Land Management, Environment and Climate Change Canada, Australian Bureau of Meteorology, Met Éireann, Météo-France, Deutscher Wetterdienst, and research networks including AmeriFlux, EuroFlux, AsiaFlux, FLUXNET. Objectives included improving parameterizations used in models by groups such as National Center for Atmospheric Research, Los Alamos National Laboratory, Sandia National Laboratories, Oak Ridge National Laboratory, and informing assessment reports by Intergovernmental Panel on Climate Change and policy advice for agencies like United Nations Framework Convention on Climate Change and World Meteorological Organization.

Methods and Instrumentation

Instrumentation portfolios were drawn from manufacturers and facilities such as Campbell Scientific, LI-COR Biosciences, Metek GmbH, Gill Instruments, Falmouth Scientific, R.M. Young Company, Airmar Technology Corporation, Kipp & Zonen, Vaisala, Rotronic, Systron Donner Inertial Systems, and laboratory infrastructure at European Organisation for the Exploitation of Meteorological Satellites, National Center for Atmospheric Research High-Performance Computing, Argonne National Laboratory, Lawrence Livermore National Laboratory. Methods included eddy covariance techniques developed in part through work at Wageningen University and Research, scintillometry pioneered with collaborations at University of Amsterdam, large-eddy simulation frameworks from Los Alamos National Laboratory, direct numerical simulation studies influenced by Princeton Plasma Physics Laboratory methodologies, and boundary-layer profiling using platforms from NOAA Research Vessel Ronald H. Brown, RV Investigator, RRS Sir David Attenborough, and aircraft campaigns flown by NASA Armstrong Flight Research Center, NOAA Hurricane Hunters, Royal Netherlands Air Force, Meteorological Research Flight (UK), National Research Council (Canada).

Field Campaigns and Study Sites

Field campaigns were staged at sites including the Amazon Rainforest sites tied to Large-Scale Biosphere–Atmosphere Experiment in Amazonia, boreal locations in Siberia coordinated with International Arctic System for Observations, Modeling and Prediction, alpine observatories such as Jungfraujoch, prairie experiments in the Konza Prairie Biological Station, coastal arrays along Cape Cod, marine flux programs in the North Atlantic Ocean linked to R/V Knorr cruises, polar studies in Antarctica with logistics from United States Antarctic Program, and urban deployments in metropolitan areas like New York City, London, Tokyo, Paris, Beijing, Mumbai, São Paulo, Mexico City, Los Angeles, and Melbourne. Collaboration with observatories such as NOAA Mauna Loa Observatory and Barrow Observatory expanded temporal coverage.

Results and Findings

Key findings refined theoretical frameworks from works by Andreas A. Andreas', John B. Edson, John L. Lumley, and empirically adjusted parameterizations used in operational models at European Centre for Medium-Range Weather Forecasts, NOAA National Centers for Environmental Prediction, UK Met Office, and Japan Meteorological Agency. Results documented nonlocal transport in convective boundary layers over heterogeneous terrain as described in studies by Roger K. Smith and Germán P. Esquerre, quantified scalar flux divergence in canopies echoing results from Tommaso R. Fenoglio-Marc, revealed surface-layer stability effects comparable to those reported by J. C. Kaimal and J. J. Finnigan, and identified bias sources in remote sensing retrievals from instruments on MODIS, Landsat, Copernicus Sentinel missions. Outcomes informed assessments in reports by Intergovernmental Panel on Climate Change and influenced parameter tweaks in climate models developed by Community Earth System Model teams, Hadley Centre Global Environment Model, and GFDL.

Implications for Modeling and Climate Studies

The study's empirical datasets fed assimilation systems developed at European Centre for Medium-Range Weather Forecasts and NASA Global Modeling and Assimilation Office, supporting improvements in representation of land–atmosphere coupling in Earth system models maintained by National Center for Atmospheric Research, Max Planck Institute for Meteorology, Geophysical Fluid Dynamics Laboratory, Met Office Hadley Centre, IPSL, CNRM, BCC (Modeling Center), Potsdam Institute for Climate Impact Research and in regional models such as WRF and COSMO. Enhanced parameterizations affected projections in assessments by Intergovernmental Panel on Climate Change and policymaking informed through United Nations Framework Convention on Climate Change negotiations and national communications to bodies like Convention on Biological Diversity.

Challenges and Future Directions

Persistent challenges include scaling observations from flux towers operated by FluxNet sites to satellite footprints from missions such as Sentinel-3 and MODIS, reconciling differences between high-resolution LES studies at institutions like Los Alamos National Laboratory and global model grids used by ECMWF, and integrating biogeochemical feedbacks studied by Carnegie Institution for Science and Smithsonian Institution. Future directions emphasize interdisciplinary coordination with programs like Future Earth, collaborations with agencies such as National Science Foundation, development of next-generation airborne platforms inspired by Global Hawk deployments, expansion of open data initiatives modeled on Copernicus Programme and Earth System Grid Federation, and training of early-career scientists through partnerships with universities including University of Cambridge and Massachusetts Institute of Technology to bridge observational, theoretical, and modeling gaps.

Category:Atmospheric sciences