| Hauptseite > Publikationsdatenbank > Strategy for more ground-based observations to constrain the lower boundary condition in atmospheric models |
| Conference Presentation (After Call) | FZJ-2024-04648 |
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2024
Abstract: Processes in the planetary boundary layer (PBL), i.e. the part of the atmosphere directly above the Earth’s surface, play an important role in driving weather and climate as well as atmospheric chemistry. The latter is impacted particularly by surface emissions, both natural and anthropogenic, and uptake of trace gases. In atmospheric models, trace gas concentrations in the PBL are typically prescribed as part of the ‘lower boundary condition’, constructed by the interpolation of available near surface observations. Consistent high-qualityobservations are provided by coordinated networks of ground-based observatories or sampling sites (e.g. GAW, NDACC, NOAA) around the globe. But while the station density and corresponding data coverage is generally good in North America, Europe and parts of Asia, large gaps of up to several 1000 kilometres between stations lead to significant uncertainties in interpolated or assimilated trace gas concentrations in some regions, particularly in the Global South. Reasons for the lack of observations are numerous and includelimited accessibility, insufficient training of local scientists and technicians, and the lack of instrumentation and/or funding thereof. In this presentation, we use the most recent version of the Chemical Lagrangian Model of the Stratosphere (CLaMS) to illustrate how additional measurements of selected trace gases in undersampled regions could make a difference by significantly reducing uncertainties related to the model’s lower boundary. We then put forward a strategy to promote – and ultimately conduct – desired observations, particularly in India, South Asia, South America, and Africa. The strategy includes fostering of international collaboration and exchange of data and knowledge as well as supporting the use of accessible and affordable instrumentation and infrastructure.
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