Sea Surface Temperature Data

Obtain L4 sea and ocean surface temperature datasets in your chosen spatial and temporal resolution.

You may use this page to to request sea surface temperature (SST) data from the European Space Agency Climate Change Initiative (climate.esa.int/en/projects/sea-surface-temperature/) in time/space averaged form. The underlying data are from the CCI climate data record v2.1, described in the paper referenced below.

Ongoing extension of this dataset over time is supported by the Copernicus Climate Change Service (climate.copernicus.eu). This service is supported by the National Centre for Earth Observation (www.nceo.ac.uk).

The dataset will be prepared in netcdf4 format at the temporal and spatial resolution specified in the request form below.

1. Enter your email address.*
2. Define parameters for your re-gridding job.
3. Consent to your email address being temporarily stored and accept the license for using the output data.
4. Submit the request.

* You will be notified by e-mail when the job is complete. Link(s) will be provided in this e-mail to download the output data file(s). Data files will be available for download for 7 days after the job completes.

You may also check on the status of your jobs and get the download links for any completed jobs, by returning to this page, by entering your email address into the form below and pressing the Show My Current Jobs button.

Click on thes for additional explanation.

X Content

E-mail address

Show My Current Jobs

My Current Jobs Refresh Now

No Jobs Found

Job ID	Submitted	Status	Completion	Expiry

View refreshes every 10 minutes. Running Jobs Count (For All Users): 0

Job Parameters

Time Resolution		N-day period
Spatial Resolution - Longitude (degrees)
Spatial Resolution - Latitude (degrees)
Start Date	Year Month Day
End Date	Year Month Day
Longitude of bounding box (degrees east)
Latitude of bounding box (degrees north)
Width in degrees
Height in degrees
Exclude data above sea ice threshold		Sea Ice Exclusion Threshold %
Include post-hoc SST bias adjustments
Generate Absolute SST or Anomaly	Anomaly Absolute
Generate sea-ice fraction
Error Correlation in Time (Days)
Error Correlation In Space (Degrees)
Output file format	CSV netcdf4

Consent and Data License

I consent to my e-mail address being stored temporarily until the job execution is completed.

The data produced by this service are covered by a CC BY 4.0 license. I agree to acknowledge the ESA Climate Change Initiative and the SST CCI project and to cite the following reference in any reports or publications using data obtained from and derived from this service: Merchant, C.J., Embury, O., Bulgin, C.E., Block, T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R. and Donlon, C. (2019), Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Scientific Data 6, 223, doi:10.1038/s41597-019-0236-x The data produced by this service are covered by a CC BY 4.0 license. I agree to acknowledge the ESA Climate Change Initiative and the SST CCI project and to cite both of the following references in any reports or publications using data obtained from and derived from this service: (1) in respect of the underlying dataset, Merchant, C.J., Embury, O., Bulgin, C.E., Block, T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R. and Donlon, C. (2019), Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Scientific Data 6, 223, doi:10.1038/s41597-019-0236-x, and (2) in respect of the additional adjustments applied, Merchant, C. J. and Embury, O. (2020) Adjusting for desert-dust-related biases in a climate data record of sea surface temperature. Remote Sensing, 12 (16). 2554. ISSN 2072-4292 doi:10.3390/rs12162554

(Optional) I consent to my e-mail address being stored indefinitely ONLY in order to be notified when new data or features become available via e-mail. The e-mail address will not be used for other purposes or shared by surftemp.net with third parties. Unsubscribe by visiting the Subscription page.

Submit Job

Submit

For any questions, suggestions or issues with using this service, please contact n.f.mccarroll@reading.ac.uk.