The Feature Fidelity task team was formed to address issues of uncertainty of satellite-derived SST fields in relation to the study of oceanographic features at mesoscale and smaller, i.e <O(100 km). Features such as currents, fronts, eddies, and gradients are defined by differences in SST over the spatial scale of interest. Critical to the study of these features is the uncertainty in the SST differences rather than the uncertainty in the absolute SST.
Objectives
Address issues of uncertainty of satellite-derived SST fields in relation to the study of oceanographic features at mesoscale and smaller, i.e <O(100 km).
Activities
Task 1: Classification of types of problems contributing to uncertainties at different spatial scales
Task 2: Identification of effects giving rise to these problems
Task 3: Outline approaches to quantifying the uncertainties of interest
Two approaches are investigated:
- Metrological approach: propagation of errors through the processing steps
- Determine uncertainty from the variance of the SST fields
Find out more about the work of this task team
What is this task team about? What are its priorities in 2023?
Find out in this short booklet: Cornillon, Peter, & Gonzalez-Haro, Cristina. (2022). Booklet 2022: Task Team On Feature Fidelity (F2T2). Zenodo. https://doi.org/10.5281/zenodo.7415354
Task team members
Chair and co-chair: Peter Cornillon (University of Rhode Island, USA) and Cristina Gonzalez Haro (ICM, CSIC, BEC, Spain)
Members: Owen Embury, Irina Gladkova, Lei Guan, Jordi Isern-Fontanet, Chris Merchant, Gary Wick.
Latest reports to the GHRSST Science Team
- Presentation on the issues to be considered by this task team (July 2022): Zenodo link
- Report of this task team to the Science Team 2021, Zenodo link
- 2021 Summary slides: Slides-FeatureFidelity2021
- Further information about this task team is available in the “Proceedings of the Science Team Meeting 2021”: https://doi.org/10.5281/zenodo.5750123
Interested in contributing?
Please contact the chair/co-chair directly:
- Peter Cornillon, pcornillon@uri.edu
- Cristina Gonzalez Haro, cgharo@icm.csic.es