Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.448-459
2020

Details

Autor(en) / Beteiligte
Titel
Validation of Sea Surface Temperature Derived From Himawari-8 by JAXA
Ist Teil von
  • IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.448-459
Ort / Verlag
Piscataway: IEEE
Erscheinungsjahr
2020
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • 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.

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX