The PO.DAAC is pleased to announce the public release of the ECCO Version 4 release 4 (V4r4) ocean and sea-ice state estimates. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states (ECCO Consortium, 2021). More information regarding the ECCO project is available from PO.DAAC’s mission webpage.
The ECCO V4r4 datasets provide global coverage over the period from 1992 to 2018 at daily, monthly, and snapshot (instantaneous) time intervals. This release consists of 79 datasets represented on the ECCO “Lat-Lon-Cap” 90 (LLC90) native model grid and a 0.5 degree latitude-longitude interpolated grid (05DEG), and a 1-D global time series. The nominal spatial resolution of the LLC90 datasets is 1 degree latitude-by-longitude, as referenced at the Equator, with finer grid resolutions at higher latitudes due to the grid projection (Forget et al., 2015).
Three-dimensional data products include temperature, salinity, and velocity; volume, temperature, salinity, fluxes; seawater density, stratification, and hydrostatic pressure; and parameterized eddy fluxes. Two-dimensional data products include sea level anomaly, ocean mixed layer thickness, ocean bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress. Additionally, 2D sea-ice data products include concentration and thickness, air/sea-ice/ocean heat and freshwater fluxes, and horizontal advective volume fluxes.
This release also includes four one-dimensional data products providing global mean dynamic sea level anomaly, barystatic and sterodynamic sea level components, global mean atmospheric pressure, and Special Bureau for the Oceans (SBO) core products. All datasets are formatted in netCDF version 4 file format and adhere to the metadata specifications of CF version 1.8, ACDD version 1.3, and ISO-8601.
This release represents the first PO.DAAC cloud-native data publication, in which these data are exclusively available in NASA’s Earthdata Cloud infrastructure through AWS, including both HTTPS access and direct S3 access in the “us-west-2” AWS region. Additional services are provided by the Harmony API, featuring direct conversion of netCDF to the cloud-optimized Zarr format. These datasets are described and discoverable via the PO.DAAC and NASA Earthdata Search dataset information pages in the following DOIs (Digital Object Identifiers).
Citation
Citation of each dataset will be inclusive of the respective DOI (see below) using the following citation template: ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M.. 2021. <Dataset Title> (Version 4 Release 4). PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https ://doi.org/10.5067/<DOI Siffix>
https://doi.org/10.5067/ECG5D-ATM44
https://doi.org/10.5067/ECG5M-ATM44
https://doi.org/10.5067/ECL5D-ATM44
https://doi.org/10.5067/ECL5M-ATM44
https://doi.org/10.5067/ECG5D-BOL44
https://doi.org/10.5067/ECG5M-BOL44
https://doi.org/10.5067/ECL5D-BOL44
https://doi.org/10.5067/ECL5M-BOL44
https://doi.org/10.5067/ECG5D-ODE44
https://doi.org/10.5067/ECG5M-ODE44
https://doi.org/10.5067/ECL5D-ODE44
https://doi.org/10.5067/ECL5M-ODE44
https://doi.org/10.5067/ECG5D-FRE44
https://doi.org/10.5067/ECG5M-FRE44
https://doi.org/10.5067/ECL5D-FRE44
https://doi.org/10.5067/ECL5M-FRE44
https://doi.org/10.5067/ECTSS-MAP44
https://doi.org/10.5067/ECTSD-MSL44
https://doi.org/10.5067/ECTSM-MSL44
https://doi.org/10.5067/ECG5D-HEA44
https://doi.org/10.5067/ECG5M-HEA44
https://doi.org/10.5067/ECL5D-HEA44
https://doi.org/10.5067/ECL5M-HEA44
https://doi.org/10.5067/ECG5D-OML44
https://doi.org/10.5067/ECG5M-OML44
https://doi.org/10.5067/ECL5D-OML44
https://doi.org/10.5067/ECL5M-OML44
https://doi.org/10.5067/ECG5D-OBP44
https://doi.org/10.5067/ECG5M-OBP44
https://doi.org/10.5067/ECL5D-OBP44
https://doi.org/10.5067/ECL5M-OBP44
https://doi.org/10.5067/ECL5S-OBP44
https://doi.org/10.5067/ECL5D-3MT44
https://doi.org/10.5067/ECL5M-3MT44
https://doi.org/10.5067/ECL5D-3SF44
https://doi.org/10.5067/ECL5M-3SF44
https://doi.org/10.5067/ECL5D-3TF44
https://doi.org/10.5067/ECL5M-3TF44
https://doi.org/10.5067/ECL5D-3VF44
https://doi.org/10.5067/ECL5M-3VF44
https://doi.org/10.5067/ECL5D-STF44
https://doi.org/10.5067/ECL5M-STF44
https://doi.org/10.5067/ECG5D-OVE44
https://doi.org/10.5067/ECG5M-OVE44
https://doi.org/10.5067/ECL5D-OVE44
https://doi.org/10.5067/ECL5M-OVE44
https://doi.org/10.5067/ECTSS-SBO44
https://doi.org/10.5067/ECG5D-ICO44
https://doi.org/10.5067/ECG5M-ICO44
https://doi.org/10.5067/ECL5D-ICO44
https://doi.org/10.5067/ECL5M-ICO44
https://doi.org/10.5067/ECL5S-ICO44
https://doi.org/10.5067/ECL5D-SIH44
https://doi.org/10.5067/ECL5M-SIH44
https://doi.org/10.5067/ECL5D-ISP44
https://doi.org/10.5067/ECL5M-ISP44
https://doi.org/10.5067/ECG5D-SIV44
https://doi.org/10.5067/ECG5M-SIV44
https://doi.org/10.5067/ECL5D-SIV44
https://doi.org/10.5067/ECL5M-SIV44
https://doi.org/10.5067/ECL5S-SIV44
https://doi.org/10.5067/ECG5D-SSH44
https://doi.org/10.5067/ECG5M-SSH44
https://doi.org/10.5067/ECL5D-SSH44
https://doi.org/10.5067/ECL5M-SSH44
https://doi.org/10.5067/ECL5S-SSH44
https://doi.org/10.5067/ECG5D-STR44
https://doi.org/10.5067/ECG5M-STR44
https://doi.org/10.5067/ECL5D-STR44
https://doi.org/10.5067/ECL5M-STR44
https://doi.org/10.5067/ECG5D-OTS44
https://doi.org/10.5067/ECG5M-OTS44
https://doi.org/10.5067/ECL5D-OTS44
https://doi.org/10.5067/ECL5M-OTS44
https://doi.org/10.5067/ECL5S-OTS44
https://doi.org/10.5067/ECG5A-GRD44
https://doi.org/10.5067/ECL5A-GRD44
https://doi.org/10.5067/ECG5A-MIX44
https://doi.org/10.5067/ECL5A-MIX44
References
ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M. (2021, February 10). Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4). https://doi.org/10.5281/zenodo.3765928
Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch. 2015. ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation. Geosci. Model Dev., 8, 3071–3104, https://doi.org/10.5194/gmd-8-3071-2015
