17:15 〜 18:45
[ACG42-P17] Arctic sea surface temperature (SST) from GCOM-C/SGLI
キーワード：しきさい、SGLI、海面温度
Arctic amplification of the climate change signal has been reported for some years (e.g., rapidly decreasing sea ice extent, marine heat wave in the northern Atlantic Ocean, and so on). Key processes to understand the Arctic system includes temperature feedback (Pithan and Mauritsen, 2014). The sea surface temperature (SST), which reflects air-sea interactions and thermodynamic structures of the ocean surface layer, is a key parameter to quantify temperature feedback. Remote sensing from the space has been playing an important role in observing SST since 1980’s. However, the remotely sensed SST was not accurate enough in the Arctic Ocean; this is due to sparce in-situ observation, strong salinity gradients, and persistent clouds there.
SGLI is an optical sensor onboard the GCOM-C satellite which was launched in 2017. The SGLI observes the Earth with the highest spatial resolution of 250 m. Accuracy of SGLI SST which is determined with a physics-based SST method is not affected by the sparce in-situ data in the Arctic Ocean. SGLI has been observing Arctic SST since 2018 with the accuracy of 0.3~0.4 K by comparison with buoy data. The high spatial resolution had made it possible to observe SST in sea-ice-rich areas where in-situ observation is difficult. SGLI has observed SST surrounding the sea ice in melting and reconstructing phases.
We have compiled the SGLI SST and sea ice for June to September in 2018 or later and validated them by comparison with in-situ observations, AMSR2 SST, and analyzed SSTs. The AMSR2 SST is another SST remotely sensed from the space. AMSR2 is a microwave sensor onboard the GCOM-W satellite, which observes SST without being affected by clouds. We used AMSR2 6GHz SST for the validation. Comparison results of monthly SGLI SST and SST analyses show significant differences between them around sea ice, especially in its melting stage. SGLI is expected to generate an Arctic SST data set which brings new findings.
Reference
Pithan, F., Mauritsen, T. Arctic amplification dominated by temperature feedbacks in contemporary climate models. Nature Geosci 7, 181–184 (2014).
SGLI is an optical sensor onboard the GCOM-C satellite which was launched in 2017. The SGLI observes the Earth with the highest spatial resolution of 250 m. Accuracy of SGLI SST which is determined with a physics-based SST method is not affected by the sparce in-situ data in the Arctic Ocean. SGLI has been observing Arctic SST since 2018 with the accuracy of 0.3~0.4 K by comparison with buoy data. The high spatial resolution had made it possible to observe SST in sea-ice-rich areas where in-situ observation is difficult. SGLI has observed SST surrounding the sea ice in melting and reconstructing phases.
We have compiled the SGLI SST and sea ice for June to September in 2018 or later and validated them by comparison with in-situ observations, AMSR2 SST, and analyzed SSTs. The AMSR2 SST is another SST remotely sensed from the space. AMSR2 is a microwave sensor onboard the GCOM-W satellite, which observes SST without being affected by clouds. We used AMSR2 6GHz SST for the validation. Comparison results of monthly SGLI SST and SST analyses show significant differences between them around sea ice, especially in its melting stage. SGLI is expected to generate an Arctic SST data set which brings new findings.
Reference
Pithan, F., Mauritsen, T. Arctic amplification dominated by temperature feedbacks in contemporary climate models. Nature Geosci 7, 181–184 (2014).