The graph shows the global average SST change over the last 24 years, since 1991 (as of December 2015). For more information, click here.
The SST CCI Science Leader, Chris Merchant, has written a blog on the Global Drifter Program, which includes information on what using the drifter array and satellite data as two independent systems can tell us about marine climate change. Click here for the full article.
The SST CCI project has produced three papers on various aspects of SST uncertainties, published in Remote Sensing of Environment:
The SST CCI Analysis product (in which daily SST is gap-filled in time and space) has been updated to version 1.1. This version uses the same SST inputs as analysis v1.0. Compared to v1.0, intermittent bugs in the externally sourced sea ice fields (with corresponding implications for high latitude SST) have been corrected. For users not directly using the sea ice fields, the update is minor; for those using the sea ice fields, it is recommended. Read more »
The ESA SST CCI project provides two software tools specifically designed to operate on the SST CCI data. These tools support the regridding of the SST data products to a coarser raster and the regional averaging of data for a selectable time interval. The algorithms implemented ensure a correct propagation of the uncertainty information and generate an additional uncertainty component taking into account the effects of incomplete sampling (e.g. due to cloud coverage).
To coincide with COP21 in Paris, ESA have released interviews about essential climate variables, including this one about sea surface temperature.
If you want some of our data in the simplest possible form, head to our newRead more »
Venue: Met Office Hadley Centre, Exeter, UK
Date: 18-20th November 2014.
The SST CCI project is creating new Climate Data Records (CDRs) of SST from satellite retrievals. These CDRs contain information on uncertainty in SST retrievals, split into components. Other CDRs of SST provide uncertainty information in other ways, e.g. as a single number per SST value or via the use of an ensemble. Read more »
The datasets generated to date by SST CCI are available from the Centre for Environmental Data Archival via the page www.neodc.rl.ac.uk. Possibly it is most useful to go to the dataset pages using the DOIs of the datasets:
For SSTs derived only from the Advanced Very High Resolution Radiometers:
http://dx.doi.org/10.5285/782305d4-1ded-43f9-a0ed-40cb41ff0a43 Read more »