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Full-Text Articles in Physical Sciences and Mathematics
Tracing Water Masses With 129i And 236u In The Subpolar North Atlantic Along The Geotraces Ga01 Section, Maxi Castrillijo, Núria Casacuberta, Marcus Christl, Christoph Vockenhuber, Hans A. Synall, Maribel I. García-Ibáñez, Pascale Lherminier, Géraldine Sarthou, Jordi García-Orellana, Pere Masqué
Tracing Water Masses With 129i And 236u In The Subpolar North Atlantic Along The Geotraces Ga01 Section, Maxi Castrillijo, Núria Casacuberta, Marcus Christl, Christoph Vockenhuber, Hans A. Synall, Maribel I. García-Ibáñez, Pascale Lherminier, Géraldine Sarthou, Jordi García-Orellana, Pere Masqué
Research outputs 2014 to 2021
Pathways and timescales of water mass transport in the subpolar North Atlantic Ocean (SPNA) have been investigated by many studies due to their importance for the meridional overturning circulation and thus for the global ocean. In this sense, observational data on geochemical tracers provide complementary information to improve the current understanding of the circulation in the SPNA. To this end, we present the first simultaneous distribution of artificial 129I and 236U in 14 depth profiles and in surface waters along the GEOVIDE section covering a zonal transect through the SPNA in spring 2014. Our results show that the two tracers …
Integrating Dynamic Subsurface Habitat Metrics Into Species Distribution Models, Stephanie Brodie, Michael G. Jacox, Steven J. Bograd, Heather Welch, Heidi Dewar, Kylie L. Scales, Sara M. Maxwell, Dana M. Briscoe, Christopher A. Edwards, Larry B. Crowder, Rebecca L. Lewison, Elliott L. Hazen
Integrating Dynamic Subsurface Habitat Metrics Into Species Distribution Models, Stephanie Brodie, Michael G. Jacox, Steven J. Bograd, Heather Welch, Heidi Dewar, Kylie L. Scales, Sara M. Maxwell, Dana M. Briscoe, Christopher A. Edwards, Larry B. Crowder, Rebecca L. Lewison, Elliott L. Hazen
Biological Sciences Faculty Publications
Species distribution models (SDMs) have become key tools for describing and predicting species habitats. In the marine domain, environmental data used in modeling species distributions are often remotely sensed, and as such have limited capacity for interpreting the vertical structure of the water column, or are sampled in situ, offering minimal spatial and temporal coverage. Advances in ocean models have improved our capacity to explore subsurface ocean features, yet there has been limited integration of such features in SDMs. Using output from a data-assimilative configuration of the Regional Ocean Modeling System, we examine the effect of including dynamic subsurface …