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This document outlines the methodology and findings of the ODYSSEA project, focusing on the validation of multi-sensor ocean data products in Arctic regions. The approach includes the construction of daily reference fields and techniques for bias correction. Using GHRSST L2P products, the study highlights the importance of observation quality control and correction. Key findings indicate a seasonal bias in temperature measurements, with no bias detected in 2011, but a significantly negative bias of -0.5K observed in February. Effective bias correction remains a challenge in Arctic conditions.
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ODYSSEA In Arctic Emmanuelle Autret, Jean-François Piollé IFREMER/CERSAT, 29280 Plouzané, France Emmanuelle.Autret@ifremer.fr jfpiolle@ifremer.fr
Outline • Method • Input validation in Arctic • L3S, L4 validation • Conclusion
Method (1) GHRSST L2P products Observation quality control, correction (sses), filtering « re-mapped » L3 products Selection based on proximity to analysis time and best quality « collated monosenso L3C products » (/day /sensor) Pre- processing steps Correction of large scale bias field for each sensor (daily reference: 0.25 gridded field) Intercalibrated collated products (/day /sensor) Merging of composite files « multisensor supercollated L3S products » (/day) Optimal interpolation Multi-sensor analysed field
Method (2) • Bias correction principles: • A daily 0.25° resolution L3 «reference field » is built every day as follows: • 1) Each source is remapped on the 0.25° grid (mean): • 2) A median of selected sensor data is kept at each grid point • 3) An OI is applied to get a complete reference field • 4) The error (correction) is determined as the difference between each sensor and the reference smoothed over 2°.
AATSR Validation (Arctic) North of 67 N Nighttime drifter measurements only
NOAA-19 Validation (Arctic) North of 67 N Nighttime drifter measurements only
L3S & analysis Validation (Arctic) North of 67 N Nighttime drifter measurements only
Analysis Validation North of 67 N Nighttime drifter measurements only
Conclusion • ODYSSEA uses a multisensor reference • ODYSSEA showed no bias in 2011 • Since then, ODYSSEA shows a seasonal bias: null in Autumn and significantly negative (-0.5K) in February. • bias correction is not efficient in the Arctic • all main sensors show a negative bias