Publication | Open Access
Validation of Sea Surface Temperature Derived From Himawari-8 by JAXA
20
Citations
32
References
2020
Year
EngineeringMarine ChemistryOceanographyMarine Geophysical DataEarth ScienceGeophysicsOcean MonitoringMarine MeteorologyAtmospheric ScienceOceanic SystemsLarger Positive BiasesNegative BiasesMeteorologyMarine GeologyClimate DynamicsClimatologyPhysical OceanographySatellite MeteorologyProminent Seasonal Variation
Hourly sea surface temperature (SST) retrieved from Himawari-8 by the Japan Aerospace Exploration Agency (H8-SST/JAXA, latest version 1.2) is becoming an important data source for data merging as well as for resolving diurnal variation (DV). However, the spatial and temporal variation of the errors for the full disk is still unclear. In this article, two years of H8-SSTs/JAXA are validated against in situ measurements from iQuam2. In general, H8-SSTs/JAXA shows small biases between -0.11 and -0.03 K with root mean square error (RMSE) between 0.58 and 0.73 K. The spatial distributions of the errors reveal the following patterns: 1) a small median bias close to 0.1 K and RMSE of 0.4-0.6 K comparing to drifters are found at satellite zenith angle (SZA) 0°-35°; 2) negative biases (~-0.3 K) are detected at SZA s 35°-58°; and 3) larger positive biases exceeding 0.3 K are also found along the viewing boundaries. The temporal variations of the errors show that 1) there is no prominent seasonal variation; 2) the amplitude of the DV of the errors is only ~0.1 K for the statistical of all matchups, and 3) the maximum errors appears in the morning rather than in the noon. The statistics will be used in future work for DV analysis and merging purposes.
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