Linking processes and scales to improve the ammonia deposition representation in the Netherlands

Project: PhD

Project Details


Ammonia deposition, the main removal mechanism, leads to acidification and eutrophication of the surface, threatening biodiversity. It is a non-linear process depending on biochemical and meteorological that are coupled. The scales involved in this process span over various spatio-temporal scales, from micrometer level stomata to advection over 100 kilometers. Taking a bottom-up approach and focusing on the sub-daily scales, this PhD project aims to increase our understanding of dry deposition by investigating how it responds to the interaction with other relevant processes like entrainment, chemical transformation and advection, i.e. the ammonia budget. Our approach integrates advanced models with the independent dataset of ammonia concentration and flux observations from the DOAS instrument. Our first step is to investigate the sensitivity of an observed representative case with a conceptual, yet realistic model for ammonia. In doing so, we determine the sensitivity of the ammonia diurnal variability for local and non-local processes. Connecting with this study, we will reproduce the same case but now using a large-eddy simulation technique. This will enable us to account explicitly for the interaction between turbulence and ammonia dry deposition and obtain new insights on the validity of current representation of the ammonia flux. We continue to use this simulation-observational framework to study the sensitivity of the ammonia dry deposition under a wide range of conditions. The outcome of these studies is to suggest new parametrizations to be implemented in operational predictive ammonia models.
Effective start/end date1/02/18 → …


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