Assessing impacts of observations on ocean circulation models with examples from coastal, shelf, and marginal seas

Ocean observing systems in coastal, shelf and marginal seas collect diverse oceanographic information supporting a wide range of socioeconomic needs, but observations are necessarily sparse in space and/or time due to practical limitations. Ocean analysis and forecast systems capitalize on such observations, producing data-constrained, four-dimensional oceanographic fields. Here we review efforts to quantify the impact of ocean observations, observing platforms, and networks of platforms on model products of the physical ocean state in coastal regions. Quantitative assessment must consider a variety of issues including observation operators that sample models, error of representativeness, and correlated uncertainty in observations. Observing System Experiments, Observing System Simulation Experiments, representer functions and array modes, observation impacts, and algorithms based on artificial intelligence all offer methods to evaluate data-based model performance improvements according to metrics that characterize oceanographic features of local interest. Applications from globally distributed coastal ocean modeling systems document broad adoption of quantitative methods, generally meaningful reductions in model-data discrepancies from observation assimilation, and support for assimilation of complementary data sets, including subsurface in situ observation platforms, across diverse coastal environments.

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Publication Details

Journal
Frontiers in Marine Science
Published
2024-10-25
DOI
https://doi.org/10.3389/fmars.2024.1458036
Citations
5
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
2.40

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article

Assessing impacts of observations on ocean circulation models with examples from coastal, shelf, and marginal seas

Andrea Storto, Paolo Oddo, Baptiste Mourre, Christopher A. Edwards et al.
5 citations
Frontiers in Marine Science
Oceanographic and Atmospheric Processes
2.40
article

Assessing impacts of observations on ocean circulation models with examples from coastal, shelf, and marginal seas

Andrea Storto, Paolo Oddo, Baptiste Mourre, Christopher A. Edwards, Bàrbara Barceló‐Llull, Moninya Roughan, Colette Kerry, Vassiliki H. Kourafalou, Vassilios Vervatis, George R. Halliwell, A. L. Kurapov, John Wilkin, Andrew M. Moore, Ananda Pascual, Pierre De Mey-Frémaux, C. Skandrani, Byoung‐Ju Choi, Guillaume Charria, Lars Robert Hole
article en
5 citations

Abstract

Ocean observing systems in coastal, shelf and marginal seas collect diverse oceanographic information supporting a wide range of socioeconomic needs, but observations are necessarily sparse in space and/or time due to practical limitations. Ocean analysis and forecast systems capitalize on such observations, producing data-constrained, four-dimensional oceanographic fields. Here we review efforts to quantify the impact of ocean observations, observing platforms, and networks of platforms on model products of the physical ocean state in coastal regions. Quantitative assessment must consider a variety of issues including observation operators that sample models, error of representativeness, and correlated uncertainty in observations. Observing System Experiments, Observing System Simulation Experiments, representer functions and array modes, observation impacts, and algorithms based on artificial intelligence all offer methods to evaluate data-based model performance improvements according to metrics that characterize oceanographic features of local interest. Applications from globally distributed coastal ocean modeling systems document broad adoption of quantitative methods, generally meaningful reductions in model-data discrepancies from observation assimilation, and support for assimilation of complementary data sets, including subsurface in situ observation platforms, across diverse coastal environments.

Frontiers in Marine ScienceVol. 11
Rutgers, The State University of New Jersey (US), Chonnam National University (KR), Centre National de la Recherche Scientifique (FR), National Oceanic and Atmospheric Administration (US), Norwegian Meteorological Institute (NO), NOAA National Ocean Service (US), Université Toulouse III - Paul Sabatier (FR), University of Miami (US), Ifremer (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), University of California, Santa Cruz (US), National and Kapodistrian University of Athens (GR), UNSW Sydney (AU), Noveltis (France) (FR), Laboratoire d’Études en Géophysique et Océanographie Spatiales (FR), Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche (IT), Mediterranean Institute for Advanced Studies (ES), Balearic Islands Coastal Observing and Forecasting System (ES), Laboratory for Ocean Physics and Satellite Remote Sensing (FR), National Research Council (IT), Environmental Earth Sciences (AU), Institut de Recherche pour le Développement (FR)
European Commission, National Research Foundation, National Research Foundation of Korea, Centre National de la Recherche Scientifique, European Centre for Medium-Range Weather Forecasts
Life below water
Openalex Percentile: Top 12%
Oceanographic and Atmospheric Processes
2.40
DOIOpen Access PDFOpenAlex
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