ECCO Ancillary Data (Version 4 Release 4)
(ECCO_L4_ANCILLARY_DATA_V4R4)Version | V4r4 |
Processing Level | 4 |
Start/Stop Date | 1992-Jan-01 to 2018-Jan-01 |
Short Name | ECCO_L4_ANCILLARY_DATA_V4R4 |
Description | This dataset provides ancillary data for the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate, and is intended for expert users to reproduce the state estimate. The ancillary data include documentation files, files required to initialize the model, forcing fields, binary input grid files, observational data used to constrain the model, model equivalent of observed profiles, files related to atmospheric flux-forced experiments, and some script files. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. |
DOI | 10.5067/ECCL4-ANC44 |
Measurement | OCEANS > OCEAN CIRCULATION |
Platform/Sensor | |
Project | Estimating the Circulation and Climate of the Ocean (ECCO) |
Data Provider | Creator: ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M. Release Date: 2021-Sep-03 |
Format | Binary |
Keyword(s) | ECCO, ancillary data, Estimating the Circulation and Climate of the Ocean, model, ocean, reconstruction, remote sensing, estimate, sea ice, global, surface state |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 1 Decimal Degrees x 1 Decimal Degrees Temporal Resolution: Monthly - < Annual Coverage Region: GLOBAL OCEAN North Bounding Coordinate: 90 degrees South Bounding Coordinate: -90 degrees West Bounding Coordinate: -180 degrees East Bounding Coordinate: 180 degrees Time Span: 1992-Jan-01 to 2018-Jan-01 Projection Projection Type: Cylindrical Lat-Lon Projection Detail: Geolocation information included for each pixel Ellipsoid: WGS 84 |
DIRECT ACCESS | |
Browse Granule Listing | |
Search Granules | |
DIRECT S3-ACCESS | |
Available for access in-region with AWS Cloud | |
Region | |
us-west-2 | |
podaac-ops-cumulus-protected/ECCO_L4_ANCILLARY_DATA_V4R4/ | |
podaac-ops-cumulus-public/ECCO_L4_ANCILLARY_DATA_V4R4/ | |
AWS S3 Credentials | |
Get AWS S3 Credentials | Documentation |
Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
Citation | ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M.. 2021. ECCO Ancillary Data (Version 4 Release 4). Ver. Version 4 Release 4. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/ECCL4-ANC44
For more information see Data Citations and Acknowledgments.
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Journal Reference | ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M.. 2021. Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4), Zenodo. 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, Copernicus Publications, 8. https://doi.org/10.5194/gmd-8-3071-2015 |