Tuesday, October 26, 2021

The PO.DAAC is pleased to announce the public release of ECCO Version 4, Release 4b (V4r4b), an errata for the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. An issue has been identified and corrected with atmospheric pressure forcing used in V4r4. Main effects of the error are on sub-monthly time scales, for which a dynamical response to atmospheric pressure is expected. As a result, V4r4b only includes updated sea level and bottom pressure fields that are most measurably impacted by the error. See the errata document for details and corrected fields. 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.

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. (Version 4 Release 4b). PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at 10.5067/<DOI Suffix>.

https://doi.org/10.5067/ECG5D-SSH4B

https://doi.org/10.5067/ECG5M-SSH4B

https://doi.org/10.5067/ECL5D-SSH4B

https://doi.org/10.5067/ECL5M-SSH4B

https://doi.org/10.5067/ECG5D-OBP4B

https://doi.org/10.5067/ECG5M-OBP4B

https://doi.org/10.5067/ECL5D-OBP4B

https://doi.org/10.5067/ECL5M-OBP4B

https://doi.org/10.5067/ECTSS-MAP4B

https://doi.org/10.5067/ECTSS-SBO4B

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

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