ECCO Global Mean Sea Level - Daily Mean (Version 4 Release 4)
(ECCO_L4_GMSL_TIME_SERIES_DAILY_V4R4)Version | V4r4 |
Processing Level | 4 |
Start/Stop Date | 1992-Jan-01 to 2018-Jan-01 |
Short Name | ECCO_L4_GMSL_TIME_SERIES_DAILY_V4R4 |
Description | This dataset provides daily-averaged global mean sea level from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. 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 V4r4 is a free-running solution of the 1-degree global 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 and model sea level anomaly (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]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00. |
DOI | 10.5067/ECTSD-MSL44 |
Measurement | CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > SEA LEVEL RISE |
Platform/Sensor | |
Project | Estimating the Circulation and Climate of the Ocean (ECCO) |
Data Provider | Publisher: PO.DAAC Creator: ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M. Release Place: PO.DAAC Release Date: 2021-Apr-19 |
Format | netCDF-4 |
Keyword(s) | ECCO, Estimating the Circulation and Climate of the Ocean, reconstruction, remote sensing, in situ, estimate, ocean, sea ice, global, surface state, model |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 0.5 Decimal Degrees x 0.5 Decimal Degrees Temporal Resolution: Daily - < Weekly 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 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_GMSL_TIME_SERIES_DAILY_V4R4/ | |
podaac-ops-cumulus-public/ECCO_L4_GMSL_TIME_SERIES_DAILY_V4R4/ | |
AWS S3 Credentials | |
Get AWS S3 Credentials | Documentation |
Name | Long Name | Unit |
---|---|---|
global_mean_barystatic_sea_level_anomaly | Global mean of barystatic sea level anomaly | m |
global_mean_sea_level_anomaly | Global mean of dynamic SSH | m |
global_mean_sterodynamic_sea_level_anomaly | Global mean of sterodynamic sea level anomaly | m |
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 Global Mean Sea Level - Daily Mean (Version 4 Release 4). Ver. V4r4. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/ECTSD-MSL44
For more information see Data Citations and Acknowledgments.
|
||||||||
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 |