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ERSST v5

NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5

Being replaced

Being replaced

The successor, ERSST v6, has been released and is now NOAA's official SST dataset. In April 2026 NOAA PSL announced that "the NOAA ERSSTv5 dataset will be discontinued by NOAA/NCEI in June 2026", but as checked in October 2026 the v5 files at NCEI and PSL are still being updated through September 2026. Updates could stop at any time, so start new work with v6 and keep v5 for reproducing earlier results.

Successor: ERSST v6 — January 1850 to present, 2° monthly (same format as v5). Adds artificial neural network (ANN) interpolation, stronger quality control and an improved ice-SST proxy, and moves the anomaly climatology to 1991–2020. References: Huang et al. (2025), J. Climate, 38(4), 1105–1121, doi:10.1175/JCLI-D-23-0707.1 and Part II, 1123–1136, doi:10.1175/JCLI-D-24-0185.1. The dataset DOI is 10.25921/z7cw-es89 (different from the v5 DOI, 10.7289/V5T72FNM).

At a glance

Item Details
Section Ocean › Sea surface temperature analyses
Type Observation-based analysis
Domains Ocean
Provider NOAA National Centers for Environmental Information (NCEI)
Period 1854-01 ~ present
Coverage Global
Horizontal resolution 2° × 2° latitude–longitude grid (88°S–88°N)
Vertical resolution Sea surface (single level)
Temporal resolution Monthly mean
Update frequency Monthly (discontinuation announced)
Licence US Government public data — no restrictions on use; please cite the dataset DOI and the reference paper
Account required No

Note on period: As of 2026-10-11, the NOAA PSL v5 file runs through September 2026. Discontinuation has been announced, so updates may stop. Early values (when observations were sparse) are highly uncertain; the official product page notes that data are more reliable after the 1940s.

How to read the resolution
  • Horizontal resolution lists both the native model grid and the grid you download, as given in the official documentation. The same dataset can come on different grids from different providers or products, so check the grid of your downloaded file.
  • Grid spacing is not the effective resolution. A provided grid that is finer than the native one carries no extra information.
  • Intervals and whether a value is instantaneous, mean or accumulated differ between variables — see 'Available variables' below.
  • The 'provided resolution' in lists and the comparison table is a simplified km/degree value for quick comparison. Use this page for exact values.

Overview

ERSST is a global monthly analysis of SST derived from the International Comprehensive Ocean–Atmosphere Dataset (ICOADS), with Argo float data added. It is produced on a 2° × 2° grid with spatial completeness enhanced using statistical methods, beginning in January 1854. It uses in situ data only (no satellite data), and for many years has been the basis of NOAA's ENSO index (ONI) and the ocean component of the NOAA global temperature dataset (NOAAGlobalTemp).

What changes with the successor

ERSST v5 → ERSST v6

Transition: 2025-12

v6 keeps the 2° monthly grid and the in situ basis, but replaces the EOT-based gap filling with artificial neural network (ANN) interpolation. Ship-observation quality control, a large-scale filter and the ice-SST proxy were revised too, improving agreement with observations in data-sparse periods and regions and since the 1970s. The anomaly climatology moved to 1991–2020, and in 2026 NOAA's ENSO monitoring and NOAAGlobalTemp switched to v6.

Aspect ERSST v5 ERSST v6
Period 1854-01 to present 1850-01 to present
Grid and time resolution 2° × 2°, monthly mean 2° × 2°, monthly mean (unchanged)
In situ input ICOADS Release 3.0 + Argo ICOADS Release 3.0.2 + Argo
Gap filling (reconstruction) Empirical orthogonal teleconnections (EOTs) (v5 reduced spatial filtering and added Arctic EOTs) Replaced by artificial neural network (ANN) interpolation
Temporal smoothing 3-month running mean applied 3-month running mean removed
Ship-observation QC Existing quality control Adds a nearest-neighbor check against nearby buoy and Argo values
Large-scale filter None Large-scale filter (LS200, scales above 200 km) applied to SST super-observations
Sea ice and SST in ice-covered regions Ice concentration from HadISST2 (to 2015) + NCEP (2016–) Same ice concentration inputs, with a time-varying ice-SST proxy algorithm (bias and RMSD in ice-covered regions reduced by 0.67°C and 0.29°C relative to the ANN-only version)
Anomaly (ssta) climatology 1971–2000 1991–2020
Distribution format and location NetCDF + ASCII, ersst.v5.YYYYMM.nc (/pub/data/cmb/ersst/v5/netcdf/) NetCDF, ersst.v6.YYYYMM.nc (/pub/data/cmb/ersst/v5/v6/, /data/.../v6/access/). Same file conventions as v5. ASCII is listed in the NCEI metadata but was not found in the public directories
NOAA operational use NOAA ENSO monitoring; ocean component of NOAAGlobalTemp up to 6.0.0 NOAA ENSO monitoring and RONI from 2026; NOAAGlobalTemp 6.1.0 (from the January 2026 analysis)
Accuracy (against observations) Baseline Spatial correlation up about 5% and RMSD down 0.03°C over 1850–2021, with the largest gains in the tropical Pacific and the Southern Hemisphere oceans between 60°S and 30°S

Things to watch when switching

  • Do not splice v5 and v6 into one time series. The interpolation methods differ, so values and spatial patterns differ even for the same month.
  • The anomaly baselines differ, so v5 and v6 ssta cannot be compared directly. Recompute both against the same climatology period first.
  • NOAA ENSO indices based on v6 (such as RONI) may differ from historical ONI values computed from v5. Recheck your list of El Niño and La Niña events.
  • Without the 3-month running mean, v6 can show more month-to-month variability. Account for the smoothing when comparing variance or extremes.
  • Uncertainty estimates for v6 are still in development (announced for release in 2026). If your analysis needs them, check their availability.

Sources: Huang et al. (2025) ERSSTv6 Part I · Huang et al. (2025) ERSSTv6 Part II · NCEI Extended Reconstructed SST product page · NCEI news — Key NOAA Dataset Upgraded Using AI (2025-12-04) · NCEI news — AI Supercharges Key NOAA Dataset, Ensuring Peak Accuracy (NOAAGlobalTemp 6.1.0, 2026-04-13) · NOAA PSL Data Notices · NCAR Climate Data Guide — ERSSTv6

Compare the two side by side

Available variables

Variable names are those in the original NCEI NetCDF files. The NOAA PSL single-file version (sst.mnmean.nc) contains only sst.

Time-stamp convention — instantaneous, mean or accumulated? — click to show

A monthly analysis: every value is the mean SST (or SST anomaly) for that month. The time value only labels the month and is not an instantaneous value at a particular time.

  • The NOAA PSL file (sst.mnmean.nc) gives the statistic as 'Mean' and the averaging period (avg_period) as one month.
  • The original NCEI files (ersst.v5.YYYYMM.nc) hold one month each, and the day used for the time stamp (the 1st or the 15th) varies between distributors. For example, the ERDDAP mirror labels time as 'Start Time', yet its first value is 1854-01-01 and its last 2026-08-15. Match records by year and month, not by date.
  • Anomalies (ssta) are relative to the 1971–2000 monthly climatology. The successor v6 uses 1991–2020.

Source: NCEI ERSST product page / NOAA PSL and ERDDAP file metadata

instantaneous mean accumulated maximum minimum static — instantaneous: value at the time stamp · mean/accumulated/maximum/minimum: over the indicated interval · static: does not change with time

Sea surface temperature

Variable Short name Units Time convention Notes
Monthly mean sea surface temperature sst °C Monthly mean
Sea surface temperature anomaly (relative to the 1971–2000 climatology) ssta °C Monthly mean Monthly mean SST minus the 1971–2000 monthly climatology

The full variable list is in the official documentation.

How to get the data

  • NCEI direct download (monthly NetCDF) — HTTPS (wget / curl)
    • One file per month, named ersst.v5.YYYYMM.nc. ASCII files are in the ascii/ folder alongside.
  • NOAA PSL (full record in one file) — Web download / THREDDS / OPeNDAP
    • The full record is in a single file, sst.mnmean.nc, which is convenient to use directly. Climatology files (e.g. 1991–2020) are also provided.
  • NOAA CoastWatch ERDDAP (nceiErsstv5) — ERDDAP (choose region and period, then NetCDF, CSV, etc.)
    • A mirror that re-downloads the NCEI files each month, so new months appear a few days later.

Practical tips

  • For new work, use ERSST v6. NOAA's ENSO monitoring, the RONI index and NOAAGlobalTemp have already moved to v6.
  • v5 and v6 use different anomaly climatologies (v5 1971–2000, v6 1991–2020). Do not compare their ssta fields directly.
  • Do not splice v5 and v6 into one time series. The interpolation methods differ, so values differ even for the same month.
  • If you need v5, for example to reproduce a paper, download the full record now. Distribution locations may change once updates stop.

Notices and change history

2026-10-02 · Warning · NCEI Data Access Delays (cloud migration, planned through 2026-11-30)

Downloads from NCEI servers may be slow or fail while NCEI moves its data and applications to the cloud. If they do, use the PSL or ERDDAP copies.

Read the original

2026-08-03 · Info · ERSSTv6 is the new official SST dataset for NOAA ENSO monitoring

NOAA ERSSTv6 is now the official SST dataset used by NOAA to determine the current ENSO phase, and the RONI (Relative Oceanic Niño Index) has been updated to use ERSSTv6.

Read the original

2026-04-26 · Critical · ERSSTv5 to be discontinued (June 2026)

NOAA PSL announced that "the NOAA ERSSTv5 dataset will be discontinued by NOAA/NCEI in June 2026" and replaced by ERSSTv6. As of October 2026, v5 files are still being updated, but updates could stop at any time.

Read the original

2026-04-13 · Info · NOAAGlobalTemp 6.1.0 switches its ocean component to ERSST v6

Starting with the January 2026 analysis, NOAA's global temperature dataset NOAAGlobalTemp 6.1.0 uses ERSST version 6.

Read the original

2026-03-06 · Info · NOAA ERSST V6 added to NOAA PSL

PSL added NOAA ERSST V6 (monthly, from 1850) to its data collection and began updating it monthly.

Read the original

2025-12-04 · Warning · ERSST v6 released — Key NOAA Dataset Upgraded Using AI

NCEI released ERSST v6, which uses artificial neural network interpolation. Compared with v5, spatial correlation with observations increases by 5% and RMSD decreases, with larger improvements in the tropical Pacific, the Southern Hemisphere oceans between 60°S and 30°S, and ice-covered regions.

Read the original

References for your paper

Double-check before using in a paper

The citations below were compiled by the maintainer and may contain errors. Always double-check DOIs, authors, years and access-date formats against the provider's official dataset page and your journal's guidelines.

Dataset citation

NCEI dataset DOI (v5) — DOI 10.7289/V5T72FNM

Boyin Huang, Peter W. Thorne, Viva F. Banzon, Tim Boyer, Gennady Chepurin, Jay H. Lawrimore, Matthew J. Menne, Thomas M. Smith, Russell S. Vose, and Huai-Min Zhang (2017): NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5. NOAA National Centers for Environmental Information. doi:10.7289/V5T72FNM [access date].

Show BibTeX
@misc{ersst_v5_dataset,
  author    = {Huang, Boyin and Thorne, Peter W. and Banzon, Viva F. and Boyer, Tim and Chepurin, Gennady and Lawrimore, Jay H. and Menne, Matthew J. and Smith, Thomas M. and Vose, Russell S. and Zhang, Huai-Min},
  title     = {{NOAA} Extended Reconstructed Sea Surface Temperature ({ERSST}), Version 5},
  year      = {2017},
  publisher = {NOAA National Centers for Environmental Information},
  doi       = {10.7289/V5T72FNM},
  note      = {Accessed DD MMM YYYY}
}

Reference papers

ERSST v5 paper — DOI 10.1175/JCLI-D-16-0836.1

Huang, B., Thorne, P. W., Banzon, V. F., Boyer, T., Chepurin, G., Lawrimore, J. H., Menne, M. J., Smith, T. M., Vose, R. S., Zhang, H.-M. (2017): Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. Journal of Climate, 30(20), 8179–8205.

Show BibTeX
@article{huang2017ersstv5,
  author  = {Huang, Boyin and Thorne, Peter W. and Banzon, Viva F. and Boyer, Tim and Chepurin, Gennady and Lawrimore, Jay H. and Menne, Matthew J. and Smith, Thomas M. and Vose, Russell S. and Zhang, Huai-Min},
  title   = {Extended Reconstructed Sea Surface Temperature, Version 5 ({ERSSTv5}): Upgrades, Validations, and Intercomparisons},
  journal = {Journal of Climate},
  volume  = {30},
  number  = {20},
  pages   = {8179--8205},
  year    = {2017},
  doi     = {10.1175/JCLI-D-16-0836.1}
}

Successor ERSST v6 paper, Part I (when using v6) — DOI 10.1175/JCLI-D-23-0707.1

Huang, B., Yin, X., Boyer, T., Liu, C., Menne, M., Rao, Y. D., Smith, T., Vose, R., Zhang, H.-M. (2025): Extended Reconstructed Sea Surface Temperature, Version 6 (ERSSTv6). Part I: An Artificial Neural Network Approach. Journal of Climate, 38(4), 1105–1121.

Successor ERSST v6 paper, Part II (when using v6) — DOI 10.1175/JCLI-D-24-0185.1

Huang, B., Yin, X., Boyer, T., Liu, C., Menne, M., Rao, Y. D., Smith, T., Vose, R., Zhang, H.-M. (2025): Extended Reconstructed Sea Surface Temperature, Version 6 (ERSSTv6). Part II: Upgrades on Quality Control and Large-Scale Filter. Journal of Climate, 38(4), 1123–1136.

Acknowledgements

NCEI asks that publications cite the dataset DOI and also reference the Huang et al. (2017) journal article. If you obtained the data from NOAA PSL, also include the acknowledgement wording requested on the PSL page.

If this page helped, please acknowledge the Korean Climate Data Navigator

Please add the sentence below to the Acknowledgements of your paper.

Acknowledgements

Information on the datasets used in this study was compiled with the help of the Korean Climate Data Navigator (KCDN) (Sim, 2026; https://doi.org/10.5281/zenodo.23300923).