Advancing understanding of land-atmosphere interactions by breaking discipline and scale barriers.
Jordi Vilà-Guerau de ArellanoOscar HartogensisImme BenedictHugo de BoerPeter J M BosmanSantiago BotíaMicael Amore CecchiniKim A P FaassenRaquel González-ArmasKevin van DiepenBert G HeusinkveldMartin JanssensFelipe Lobos-RocoIngrid T LuijkxLuiz A T MachadoMary Rose ManganArnold F MoeneWouter B MolMichiel van der MolenRobbert MoonenH G OuwerslootSo-Won ParkXabier Pedruzo-BagazgoitiaThomas RöckmannGetachew Agmuas AdnewReinder RondaMartin SikmaRuben SchulteBart J H van StratumMenno A VeermanMargreet C van ZantenChiel C van HeerwaardenPublished in: Annals of the New York Academy of Sciences (2023)
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.