Percorrer por autor "Walter, Charlotte"
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- Effects and variability of decline in sea ice on marine primary production in the arcticPublication . Walter, Charlotte; Relvas, Paulo; Samuelsen, AnnetteThe Arctic environment is rapidly changing and drastic declines in sea ice extent and thickness have been observed over the past decades. The thinning of the ice pack affects its dynamics and makes it more susceptible to form pressure-ridges and leads. Such features appear at a scale of meters to kilometers, and are thus usually not represented in common Earth system models. However, observations show that their presence influences polar phytoplankton communities and productivity, pointing at the importance of representing such sea ice features in biogeochemical ocean modeling. The following study investigates how Arctic primary production and carbon export simulated with the biogeochemical model HYCOM-ECOSMO are affected by different sea ice models. Two simulations are available; one coupled to the classical Los Alamos sea ice model (CICE) that simulates sea ice as a continuum that deforms in a viscous manner. In contrast, the second simulation was run with the next generation sea-ice model (neXtSIM) with a brittle rheology that better represents features such as leads and ridges. Climatologies, daily time series and maps of monthly mean values for relevant parameters were analyzed for three Arctic regions. Differences in sea ice concentration resulting from the different rheologies caused differences in light availability and primary production between simulations in all regions. The different influx volumes of melt water and resulting stratification of the upper ocean affected primary production in two of three regions, and might have caused differences in nutrient availability between simulations. These findings suggest that the choice of sea ice model affects primary production modeling in HYCOM-ECOSMO to a certain extent. The results of this study contribute to the evaluation of whether the better representation of mechanical damage in sea ice models with brittle rheology can improve primary production and carbon export predictions from Arctic Ocean biogeochemical models.