Advancing understanding of land–atmosphere interactions by breaking discipline and scale barriers

Jordi Vilà‐Guerau de Arellano*, Oscar Hartogensis, Imme Benedict, Hugo De Boer, Peter J.M. Bosman, Santiago Botía, Micael Amore Cecchini, Kim A.P. Faassen, Raquel González‐Armas, Kevin Van Diepen, Bert G. Heusinkveld, Martin Janssens, Felipe Lobos‐Roco, Ingrid T. Luijkx, Luiz A.T. Machado, Mary Rose Mangan, Arnold F. Moene, Wouter B. Mol, Michiel van der Molen, Robbert MoonenH.G. Ouwersloot, So-Won Park, Xabier Pedruzo‐Bagazgoitia, Thomas Röckmann, Getachew Agmuas Adnew, Reinder Ronda, Martin Sikma, Ruben Schulte, Bart J.H. Van Stratum, Menno A. Veerman, Margreet C. Van Zanten, Chiel C. Van Heerwaarden

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)

Abstract

Vegetation and atmosphere processes are coupled through a myriad of interactions linking plant transpiration, carbon dioxide assimilation, turbulent transport of moisture, heat and atmospheric constituents, aerosol formation, moist convection, and precipitation. Advances in our understanding are hampered by discipline barriers and challenges in understanding the role of small spatiotemporal scales. In this perspective, we propose to study the atmosphere–ecosystem interaction as a continuum by integrating leaf to regional scales (multiscale) and integrating biochemical and physical processes (multiprocesses). The challenges ahead are (1) How do clouds and canopies affect the transferring and in-canopy penetration of radiation, thereby impacting photosynthesis and biogenic chemical transformations? (2) How is the radiative energy spatially distributed and converted into turbulent fluxes of heat, moisture, carbon, and reactive compounds? (3) How do local (leaf-canopy-clouds, 1 m to kilometers) biochemical and physical processes interact with regional meteorology and atmospheric composition (kilometers to 100 km)? (4) How can we integrate the feedbacks between cloud radiative effects and plant physiology to reduce uncertainties in our climate projections driven by regional warming and enhanced carbon dioxide levels? Our methodology integrates fine-scale explicit simulations with new observational techniques to determine the role of unresolved small-scale spatiotemporal processes in weather and climate models.
Original languageEnglish
Pages (from-to)74-97
JournalAnnals of the New York Academy Of Sciences
Volume1522
Issue number1
Early online dateFeb 2023
DOIs
Publication statusPublished - Apr 2023

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