A Reanalysis of Ocean Climate Using Simple Ocean Data Assimilation (SODA)

By J. Carton, B. Giese. 2008

1,885 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/88a86b6a741e8d6054a4913a91c6bbd2d18cfef9

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Citations in the corpus

Modulation of Wind-Work by Oceanic Current Interaction with the Atmosphere (2016, background): “are taken from the monthly averaged Simple Ocean Data Assimilation (SODA) ocean inter129 annual outputs (Carton and Giese 2008).”
The physics of climate variability and climate change (2019, background): “A good example of a diachronically coherent data set for the global ocean is the Simple Ocean Data Assimilation (SODA: Carton and Giese, 2008).”
Strong and moderate nonlinear El Niño regimes (2016, positive): “2 reanalysis (Carton and Giese 2008) for the 1958–2001 period.”
Why is the amplitude of the Indian Ocean Dipole overly large in CMIP3 and CMIP5 climate models? (2013, background): “2.4 [Carton and Giese, 2008], lower tropospheric (850 mb) zonal wind from ERA-Interim [Dee et al., 2011], and precipitation from National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) [Kalnay et al., 1996].”
On the representation error in data assimilation (2018, positive): “Recently, Hodyss and Nichols (2015) and HodyssandSatterﬁeld(2016)havepointedoutthatthesemethods onlydelivercorrectobservation-errorcovarianceestimateswith typicalcurrentassimilationsystemsifthereisnomodelerror ontheresolvedscales,otherwisetheestimateswillincludea portionofthebackground-errorcovarian”
Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity (2010, methodology): “Because there is no gridded subsurface current dataset, we use the assimilation products of Simple Ocean Data Assimilation (SODA) data for the 1958–99 climatology (Carton and Giese 2008).”
Climate change and phenological responses of two seabird species breeding in the high-Arctic (2009, methodology): “0.2-4 database (Carton & Giese 2008) via the IRI/LDEO Climate Data Library (http://iridl. ldeo.columbia.edu).”
Interannual Variations of the Tropical Ocean Instability Wave and ENSO (2008, background): “Simple Ocean Data Assimilation (SODA), version 1.4.2, is a global ocean retrospective analysis (Carton and Giese 2008).”
Submesoscale Instability and Generation of Mesoscale Anticyclones near a Separation of the California Undercurrent (2015, positive): “The open boundary information and initial state are taken from the monthly Simple Ocean Data Assimilation (SODA) ocean climatology (Carton and Giese 2008).”
Heat balance and eddies in the Peru-Chile current system (2012, background): “The model is initialized with mean January temperature and salinity from SODA and zero velocity.”
Assimilation of remote sensing into crop growth models: Current status and perspectives (2019, methodology): “, 2011), ocean circulation models (Carton and Giese, 2008), and land surface models (Yang et al.”
Contemporary sea level rise. (2010, background): “Recent studies based on ocean general circulation models, either with data assimilation (e.g., Carton & Giese 2008, Kohl & Stammer 2008, Wunsch et al. 2007) or without (Lombard et al. 2009), confirm that regional sea level trend patterns reported by satellite altimetry are mainly due to regional…”