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Open AccessJournal ArticleDOI

The Ocean Reanalyses Intercomparison Project (ORA-IP)

Magdalena Balmaseda, +47 more
- 09 Jun 2015 - 
- Vol. 8, Iss: 1, pp 80-97
TLDR
In this article, a multi-reanalysis ensemble is used to estimate the signal-to-noise ratio (SNR) of the ocean state and to estimate uncertainty levels.
Abstract
Uncertainty in ocean analysis methods and deficiencies in the observing system are major obstacles for the reliable reconstruction of the past ocean climate. The variety of existing ocean reanalyses is exploited in a multi-reanalysis ensemble to improve the ocean state estimation and to gauge uncertainty levels. The ensemble-based analysis of signal-to-noise ratio allows the identification of ocean characteristics for which the estimation is robust (such as tropical mixed-layer-depth, upper ocean heat content), and where large uncertainty exists (deep ocean, Southern Ocean, sea ice thickness, salinity), providing guidance for future enhancement of the observing and data assimilation systems.

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ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

TL;DR: The ECCO v4 non-linear inverse modeling framework and its baseline solution for the evolving ocean state over the period 1992-2011 are publicly available and subjected to regular, automated regression tests as mentioned in this paper.

ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation

TL;DR: In this paper, the authors presented a method to detect the presence of magnetic anomalies in the seafloor of a ship using a magnetometer and a gyroscope from the United States National Aeronautics and Space Administration.
Journal ArticleDOI

SODA3: A New Ocean Climate Reanalysis

TL;DR: The Simple Ocean Data Assimilation (SODA3) ocean reanalysis with enhancements to model resolution, observation, and forcing datasets, and the addition of a new forcing dataset is described in this paper.
Journal ArticleDOI

An imperative to monitor Earth's energy imbalance

TL;DR: The current Earth's energy imbalance (EEI) is mostly caused by human activity and is driving global warming as mentioned in this paper, and the absolute value of EEI represents the most fundamental metric defining the status of global climate change, and will be more useful than using global surface temperature.
Journal ArticleDOI

The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment

TL;DR: The ECMWF OCEAN5 system is a global ocean and sea-ice ensemble of reanalysis and real-time analysis as discussed by the authors, with the focus on upgrades of system components with respect to its predecessors, ORAS4 and ORAP5.
References
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NCEP–DOE AMIP-II Reanalysis (R-2)

TL;DR: The NCEP-DOE Atmospheric Model Intercomparison Project (AMIP-II) reanalysis is a follow-on project to the "50-year" (1948-present) N CEP-NCAR Reanalysis Project.
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