Carolina Camargo

Carolina Camargo

Oceanographer & Sea-level Scientist

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Drivers of Interannual Sea Level Variability on the Northwestern European Shelf

Published in JGR Oceans, 2020

This paper is about the drivers of regional sea-level change on the Northwestern European Shelf

Recommended citation: Hermans, T. H. J., Le Bars, D.,Katsman, C. A., Camargo, C. M. L.,Gerkema, T., Calafat, F. M., et al. (2020). Drivers of interannual sea level variability on the northwestern European shelf. Journal of Geophysical Research: Oceans,125, e2020JC016325. https://doi.org/10.1029/2020JC016325 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JC016325

Exploring Sources of Uncertainty in Steric Sea-Level Change Estimates

Published in JGR Oceans, 2020

This paper is about regional and global steric sea-level change (temperature and salinity driven) during the satellite altimetry era

Recommended citation: Camargo, C. M. L., Riva, R. E. M.,Hermans, T. H. J., & Slangen, A. B. A. (2020). Exploring sources of uncertaintyin steric sea‐level change estimates. Journal of Geophysical Research:Oceans,125, e2020JC016551. https://doi.org/10.1029/2020JC016551 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JC016551

The Effect of Wind Stress on Seasonal Sea-Level Change on the Northwestern European Shelf

Published in Journal of Climate, 2022

This paper is about the seasonal differences in sea-level projections.

Recommended citation: Hermans, T. H. J., Katsman, C. A., Camargo, C. M. L., Garner, G. G., Kopp, R. E., & Slangen, A. B. A. (2022). The Effect of Wind Stress on Seasonal Sea-Level Change on the Northwestern European Shelf, Journal of Climate, 35(6), 1745-1759. https://doi.org/10.1175/JCLI-D-21-0636.1 https://journals.ametsoc.org/view/journals/clim/35/6/JCLI-D-21-0636.1.xml

Trends and uncertainties of mass-driven sea-level change in the satellite altimetry era

Published in Earth System Dynamics, 2022

This paper is about the contribution of Antarctica, Greenland, glaciers and terrestrial waterstorage to regional sea-level change.

Recommended citation: Camargo, C. M. L., Riva, R. E. M., Hermans, T. H. J., and Slangen, A. B. A.: Trends and uncertainties of mass-driven sea-level change in the satellite altimetry era, Earth Syst. Dynam., https://doi.org/10.5194/esd-13-1351-2022, 2022. https://esd.copernicus.org/articles/13/1351/2022/

The evolution of 21st century sea-level projections from IPCC AR5 to AR6 and beyond

Published in Cambridge Prisms, 2022

Short review of evolution of IPCC AR5 and AR6 sea-level projections

Recommended citation: Slangen, A.B.A., Palmer, M.D., Camargo, C.M.L., Church, J.A., Edwards, T.L., Hermans, T.H.J., Hewitt, H., Garner, G.G., Gregory, J.M., Kopp, R.E., Santos, V.M., \& van de Wal, R.S.W. : The evolution of 21st century sea-level projections from IPCC AR5 to AR6 and beyond, Cambridge Prisms: Coastal Futures, 1-33, doi: https://doi.org/10.1017/cft.2022.8, 2022. https://doi.org/10.1017/cft.2022.8

Regionalizing the Sea-level Budget With Machine Learning Techniques

Published in Ocean Science, 2023

This paper is closes the regional sea-level budget from 1993-2016, in regions delineated with machine learning techniques.

Recommended citation: Camargo, C. M. L., Riva, R. E. M., Hermans, T. H. J., Schütt, E. M., Marcos, M., Hernandez-Carrasco, I., and Slangen, A. B. A.: Regionalizing the sea-level budget with machine learning techniques, Ocean Sci., 19, 17–41, https://doi.org/10.5194/os-19-17-2023, 2023 https://doi.org/10.5194/os-19-17-2023

resources

scicom

talks

Regional patterns of ocean mass sea-level change over the satellite altimetry era

Published:

The steric component of sea-level change comprises variations in the temperature (thermosteric) and salinity (halosteric) of the oceans, which alter the water’s density, leading to volumetric variations of the water column. Although its importance is unarguable, throughout the literature there is a disagreement on how much the steric component actually contributes to sea-level change.

Regional patterns of ocean mass sea-level change over the satellite altimetry era

Published:

“Ocean mass variation is one of the main drivers of present-day sea-level change (SLC). Also known as barystatic SLC, those fluctuations are due to the melting of continental ice from glaciers and ice sheets, and variations in landwater storage. While a large number of studies have quantified the contribution of barystatic SLC to global mean SLC, fewer works have looked into how much ocean mass has contributed to regional SLC. Besides, most of the regional studies have focused only on the effect of one of the components (e.g., melt from Antarctica), or on the period and results of the GRACE satellite mission (since 2002). This work aims at providing a comprehensive analysis of global and regional barystatic SLC since 1993. For that, we collect a suite of estimates of the individual freshwater sources, namely the Antarctic and Greenland ice sheets, glaciers and terrestrial water storage. We then use them as input on the sea-level equation to obtain regional patters (fingerprints) of barystatic SLC, and validate our results by comparing the individual estimates with the values obtained from GRACE products. We finalize our analysis by looking into trend uncertainty patterns related to each contribution.”

Regionalizing the Sea-level Budget Using a Neural Network Approach

Published:

“Understanding the drivers of present-day sea-level change is vital for improving sea-level projections and for adaptation and mitigation plans against sea-level rise. Sea-level budget (SLB) studies focus on attributing the observed sea-level change to its different drivers (steric and barystatic changes). While the global mean SLB is closed, explaining the drivers of sea-level change on a finer spatial scale leads to large discrepancies. Recent studies have shown that closing the regional budget on a regular 1x1˚ grid is not possible due to limitations of the observations itself, but also due to the spatial patterns and variability of the underlying processes. Consequently, the regional budget has been mainly analyzed on a basin-wide scale.

teaching

Guest lecturer - Oceanographic Applications of Satellite Altimetry

MSc course (Guest), Ocean topography and sea-level change, 2019

  • Guest lecturer at the “Ocean topography and sea-level change” course, on the topic of “Oceanographic applications of satellite altimetry”.
  • Design and correction of satellite altimetry assignment.
  • years: 2019-2022
  • Responsible lecturer: Riccardo Riva