ECCO (http://www.ecco-group.org/) was established in 1998 as part of the World Ocean Circulation Experiment (WOCE) with the goal of combining a general circulation model (GCM) with diverse observations in order to produce a quantitative depiction of the time-evolving global ocean state. The importance of such an endeavor is recognized by numerous national and international organizations, such as the WMO's World Climate Research Programme (WCRP) and UNESCO's Intergovernmental Oceanographic Comission (IOC). These programs have all noted the necessity of synthesizing the diverse remotely-sensed and in-situ observations with known dynamics and thermodynamics through a GCM. ECCO products are in support of the Climate Variability and Predictability (CLIVAR) programme and the Global Ocean Data Assimilation Experiment (GODAE). Major support for ECCO is provided NASA’s Physical Oceanography Program.
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1 to 10 of 27 Results
May 8, 2024
Forget, Gael, 2024, "Pathways of seawater carried by the Gulf Stream, based on the ECCO4 estimate", https://doi.org/10.7910/DVN/XFJPLX, Harvard Dataverse, V2
Virtual particles, on a computer, are released near Florida Strait and then move forward following the Ocean flow fields as estimated in the ECCO climatology. Details 10000 particles are initially released, all at time 0, in depth range D particles are released in D = 0-110m , 110-380m, or 380-860m flow fields are three-dimensional, global, and tim...
Mar 7, 2024 - OCCA Version 2 Dataverse
Forget, Gael, 2024, "Ocean Heat Content", https://doi.org/10.7910/DVN/CAGYQL, Harvard Dataverse, V1
Estimates (OCCA2, ECCO4) of global ocean heat content (OHC) anomaly from 2004-2006 climatology. ECCO4 is a closed heat budget estimate. ECCO4 release 5 is used here that covers 1992-2019. OCCA2 was derived by 1. extending ECCO4 (r2) to 1980-2022 and 2. adding a gridded adjustment to Argo over 2004-2022. The 2004-2006 climatologies were subtracted s...
OCCA Version 2 Dataverse(Massachusetts Institute of Technology)
Mar 7, 2024
OCCA stands for OCean Comprehensible Atlas. OCCA2 is the combination of 1. a data-constrained heat budget estimate for 1980-2022, based on the ECCO4 and ERA5 reanalyses, and 2. monthly adjustments based on Argo over 2004-2022.
Oct 22, 2023
Forget, Gael, 2023, "Argo / MITprof 2023 release", https://doi.org/10.7910/DVN/7HLV09, Harvard Dataverse, V1
- MITprof files were created using ArgoData.jl - copy of the Argo GDAC downloaded on 20230415 was used
Jul 10, 2019 - ECCO Version 4 Release 2 Dataverse
Forget, Gael, 2019, "Effective Ocean Heat Transport Estimates", https://doi.org/10.7910/DVN/AVVGYX, Harvard Dataverse, V2
Estimates presented in the Figures and Tables of Forget, G. and Ferreira, D. (2019) Global ocean heat transport dominated by heat export from the tropical Pacific. Nature Geoscience. ISSN 1752-0894 (In Press)
Jan 2, 2017 - ECCO Version 4 Release 2 Dataverse
Forget, Gaël, 2016, "Documentation Of The ECCO Version 4 Release 2 Dataverse", https://doi.org/10.7910/DVN/ODM2IQ, Harvard Dataverse, V3
See README.pdf
Dec 18, 2016 - ECCO version 4 release 2 inputs Dataverse
Forget, Gaël, 2016, "ECCO version 4 release 2 inputs: miscellaneous", https://doi.org/10.7910/DVN/H2Q1ND, Harvard Dataverse, V2
See README
Dec 7, 2016 - ECCO version 4 release 2 inputs Dataverse
Forget, Gaël, 2016, "Documentation of https://dataverse.harvard.edu/dataverse/ECCOv4r2inputs", https://doi.org/10.7910/DVN/PICCRE, Harvard Dataverse, V2
Documentation of https://dataverse.harvard.edu/dataverse/ECCOv4r2inputs
Nov 23, 2016 - ECCO version 4 release 2 inputs Dataverse
Forget, Gaël, 2016, "ECCO version 4 release 2 inputs: bottom pressure", https://doi.org/10.7910/DVN/SYZMUX, Harvard Dataverse, V2
See README
Aug 10, 2016 - ECCO Version 4 Release 2 Dataverse
Forget, Gaël, 2016, "ECCO version 4 release 2: remotely sensed variables (observed and modeled)", https://doi.org/10.7910/DVN/WJNXU3, Harvard Dataverse, V2
See README
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