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The GHRSST task team on Coral Heat Stress Task Team updated the report to include other uses of SST regarding coral reef science and management beyond the quantification of heat stress. To requirements for stability, geo-location accuracy, SST accuracy (including high SSTs), SST uncertainty, and timeliness, the update adds requirements for diurnal variation, increased spatial resolution, preservation of oceanographic features such as upwelling, and a measure of effective spatial resolution. Find more about this task team:https://www.ghrsst.org/about-ghrsst/task-teams/task-team-on-coral-heat-stress-user-sst-requirements/

At GHRSST Science Team Meeting in 2019, the Science Team asked the Coral Heat Stress User Requirements Task Team to make recommendations on satellite SST requirements for use by coral scientists, users and coral reef managers. In 2020 the Task Team reported its findings to the Science Team at GHRSST 21st Meeting and published the present report on Coral Heat Stress User SST Requirements. Resources: About the GHRSST task team on Coral Heat Stress user SST requirements: https://www.ghrsst.org/about-ghrsst/task-teams/coral-heat-stress-user-requirements-task-team/ Proceedings of the GHRSST Science Team Meeting 2019: https://zenodo.org/record/4700315 Proceedings of the GHRSST Science Team Meeting 2020: https://zenodo.org/record/4626734, The GHRSST Project Office is funded by the European Union (European Commission, EUMETSAT, Copernicus). Web: http://www.ghrsst.org Follow us on Twitter: https://twitter.com/GHRSST

Poster presented at the 21st. GHRSST Science meeting (XXI), June 1 - 4, 2020.

Presentation given at the 18th GHRSST science meeting (XVIII), Qingdao, China, June 5 -9, 2017

Presentation given at the 17th GHRSST science meeting (XVII), Washington DC, USA, June 6 - 10, 2016.

Presentation given at the 17th GHRSST science meeting (XVII), Washington DC, USA, June 6 - 10, 2016.

Presentation given at the 16th GHRSST science meeting (XVI), ESA/ESTEC, The Netherlands, July 20 - 24, 2015.

Presentation given at the 16th GHRSST science meeting (XVI), ESA/ESTEC, The Netherlands, July 20 - 24, 2015.

The GHRSST Climate Data Assessment Framework (CDAF) provides authoritative, comparable information about GHRSST datasets that allows users to make their own judgement on the suitability of SST datasets for use as Climate Data Records (CDRs) in their applications. The CDAF is described in the present report, produced by the GHRSST CDR-Technical Advisory Group. The CDAF is split into four main sections: Basic information Assessment information Review of information Approval and publication of information The CDAF Task Team (TT) provides a community accessible tool which facilitates the production of the CDAF metrics (section 2 above) so helping producers provide the requisite information to the CDAF. The TT provides an easy-to-use support tool based on open source resources. The tool supports users of SST datasets, enabling them to understand the suitability of GHRSST datasets for use as CDRs. The datasets are required to be in GDS2.0 format and available for a minimum 10 year time period. The tool and product summaries will be hosted in a web resource. The users, after downloading the tool, will use their own resources to run Python notebook. Resources: About the CLIMATE DATA ASSESSMENT FRAMEWORK task team: https://www.ghrsst.org/about-ghrsst/task-teams/task-team-on-climate-data-assessment-framework/ About the Climate Data Records-Technical Advisory Group: https://www.ghrsst.org/about-ghrsst/technical-advisory-groups-tags/, The GHRSST Project Office is funded by the European Union (European Commission, EUMETSAT, Copernicus). Web: http://www.ghrsst.org Follow us on Twitter: https://twitter.com/GHRSST

Presentation on the comparison of errors-in-variables and marginalised errors-in-variables harmonisation methods given by R. Quast during the FIDUCEO science meeting at NPL in January 2019. This presentation supplements the journal article: Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sens. 2019, 11, 1002. doi:10.3390/rs11091002., {"references":["Giering, R.; Quast, R.; Mittaz, J.P.D.; Hunt, S.E.; Harris, P.M.; Woolliams, E.R.; Merchant, C.J. A Novel Framework to Harmonise Satellite Data Series for Climate Applications. Remote Sens. 2019, 11, 1002"]}