Representation of Dense Shelf Water formation by global oceanic reanalyses

This study evaluates the representation of Dense Shelf Water (DSW) formation in the Southern Ocean by two global oceanic reanalyses: GLORYS2v4 and ORAS5. We found that GLORYS2v4 generally represents larger areas and more consistent temporal patterns of DSW compared to ORAS5. This latter reanalysis significantly underestimates the extent and frequency of DSW formation. Although both reanalyses show good statistical agreement with the World Ocean Circulation Experiment data set, with a root mean squared error of approximately 0.7, a mean absolute percentage error of 1.16% and an r value of 0.99, ORAS5 fails to reproduce the expected sea-surface salinity trend, exhibiting a negative trend across most of the Southern Ocean. This may lead to a weak representation of the water-mass formation processes in the region, thereby affecting its ability to satisfactorily represent the Meridional Overturning Circulation and the global thermohaline circulation. These discrepancies are attributed to the nudging process used for the sea-surface temperature in the ORAS5 model. This study highlights the importance of oceanic reanalyses to validate climate modelling results, in particular in high-latitude regions, where observations are scarce and crucial for understanding global climatic changes.

Authors

Institutions

Publication Details

Journal
Polar Research
Published
2025-01-10
DOI
https://doi.org/10.33265/polar.v43.9732
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Representation of Dense Shelf Water formation by global oceanic reanalyses

Riccardo Farneti, M. Tonelli, Rafael Afonso do Nascimento Reis, Jéferson Prietsch Machado et al.
Polar Research
Reservoir Engineering and Simulation Methods
article

Representation of Dense Shelf Water formation by global oceanic reanalyses

Riccardo Farneti, M. Tonelli, Rafael Afonso do Nascimento Reis, Jéferson Prietsch Machado, Flávio Justino, Luís Felipe Ferreira de Mendonça, Douglas da Silva Lindemann
article en

Abstract

This study evaluates the representation of Dense Shelf Water (DSW) formation in the Southern Ocean by two global oceanic reanalyses: GLORYS2v4 and ORAS5. We found that GLORYS2v4 generally represents larger areas and more consistent temporal patterns of DSW compared to ORAS5. This latter reanalysis significantly underestimates the extent and frequency of DSW formation. Although both reanalyses show good statistical agreement with the World Ocean Circulation Experiment data set, with a root mean squared error of approximately 0.7, a mean absolute percentage error of 1.16% and an r value of 0.99, ORAS5 fails to reproduce the expected sea-surface salinity trend, exhibiting a negative trend across most of the Southern Ocean. This may lead to a weak representation of the water-mass formation processes in the region, thereby affecting its ability to satisfactorily represent the Meridional Overturning Circulation and the global thermohaline circulation. These discrepancies are attributed to the nudging process used for the sea-surface temperature in the ORAS5 model. This study highlights the importance of oceanic reanalyses to validate climate modelling results, in particular in high-latitude regions, where observations are scarce and crucial for understanding global climatic changes.

Polar ResearchVol. 43
The Abdus Salam International Centre for Theoretical Physics (ICTP) (IT), Universidade Federal da Bahia (BR), Universidade Federal do Rio Grande (BR), Universidade Federal de Viçosa (BR), Universidade Federal de Pelotas (BR), Instituto de Estudos do Mar Almirante Paulo Moreira (BR), Universidade Federal do Espírito Santo (BR)
Met Office, European Centre for Medium-Range Weather Forecasts
Life below water
Openalex Percentile: Top 99%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.