posted on 2023-05-19, 09:57authored byOke, PR, Larnicol, G, Fujii, Y, Smith, GC, Lea, DJ, Guinehut, S, Remy, E, Balmaseda, MA, Rykova, T, Surcel-Colan, D, Martin, MJ, Sellar, AA, Mulet, S, Turpin, V
Under GODAE OceanView the operational ocean modelling community has developed a suite of global ocean forecast, reanalysis and analysis systems. Each system has a critical dependence on ocean observations – routinely assimilating observations of in-situ temperature and salinity, and satellite sea-level anomaly and sea surface temperature. This paper demonstrates the value and impact of ocean observations to three global eddy-permitting forecast systems, one global eddy-permitting model-independent analysis system, one eddy-resolving reanalysis system, and two seasonal prediction systems. All systems have been used to assess the impact of Argo profiles, including scenarios with no Argo data, and a degraded Argo array – unanimously concluding that Argo is a critical data set – the most critical for seasonal prediction, and as critical as satellite altimetry for eddy-permitting applications. Most systems show that TAO data are as important as Argo in the tropical Pacific, and that XBT data have an impact that is comparable to other data types in the vicinity of XBT transects. It is clear that no currently available data type is redundant. On the contrary, the components of the global ocean observing system complement each other remarkably well, providing sufficient information to monitor and forecast the global ocean.
History
Publication title
Journal of Operational Oceanography
Volume
8
Issue
S1
Pagination
S49-S62
ISSN
1755-876X
Department/School
Institute for Marine and Antarctic Studies
Publisher
Taylor & Francis
Place of publication
United Kingdom
Rights statement
Copyright 2015 CSIRO Australia. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Repository Status
Open
Socio-economic Objectives
Measurement and assessment of marine water quality and condition