ECCO Sea Surface Height - Monthly Mean 0.5 Degree (Version 4 Release 4b)

(ECCO_L4_SSH_05DEG_MONTHLY_V4R4B)
VersionV4r4b
Processing Level4
Start/Stop Date1992-Jan-01 to 2018-Jan-01
Short NameECCO_L4_SSH_05DEG_MONTHLY_V4R4B
DescriptionThis dataset contains monthly-averaged dynamic sea surface height interpolated to a regular 0.5-degree grid from the ECCO Version 4b revision 4 (V4r4b) ocean and sea-ice state estimate. V4r4b is an errata for ECCO Version 4, Release 4 (V4r4). 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 V4r4b 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 V4r4b 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]. V4r4b covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
DOI10.5067/ECG5M-SSH4B
MeasurementOCEANS > SEA SURFACE TOPOGRAPHY > SEA SURFACE HEIGHT
Platform/Sensor
ProjectEstimating the Circulation and Climate of the Ocean (ECCO)
Data ProviderPublisher: 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-Oct-01

FormatnetCDF-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: 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
 
NameLong NameUnit
latitudelatitude at grid cell centerdegrees_north
latitude_bndslatitude bounds grid cells
longitudelongitude at grid cell centerdegrees_east
longitude_bndslongitude bounds grid cells
SSHDynamic sea surface height anomalym
SSHIBCThe inverted barometer (IB) correction to sea surface height due to atmospheric pressure loadingm
SSHNOIBCSea surface height anomaly without the inverted barometer (IB) correctionm
timecenter time of averaging periodhours since 1992-01-01T12:00:00
time_bndstime bounds of averaging period
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IMPORTANT NOTICE
DATA RECIPE
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 Sea Surface Height - Monthly Mean 0.5 Degree (Version 4 Release 4 B). Ver. V4r4b. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/ECG5M-SSH4B

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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