EGU23-11144
https://doi.org/10.5194/egusphere-egu23-11144
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A study on the Estimate of Daily PAR at the ocean around Korean Peninsula using GOCI

Deuk Jae Hwang1, Robert Frouin2, Jing Tan2, Jae-Hyun Ahn1, Jeong-Eon Moon1, and Jong-Kuk Choi1
Deuk Jae Hwang et al.
  • 1Korea Institute of Ocean Science and Technology, Korea Ocean Satellite Center, Busan, Republic of Korea
  • 2Scripps Institute of Oceanography, CASPO Division, CA, US

Photosynthetically available radiation (PAR) has a key role in generating primary production at the ocean surface. Various satellite sensors were used to estimate PAR at the ocean, but GOCI, the world’s first geostationary ocean color sensor, didn’t service PAR as an official product yet. In this study, PAR for the ocean around Korean Peninsula was estimated by using GOCI and validation was carried out. GOCI daily PAR was estimated from plane-parallel theory based model and corrected with in-situ measurements PAR data which had been collected at two ocean research stations. Corrected GOCI daily PAR has a high R2 value (0.99) with in-situ measurements. GOCI daily PAR also shows a high accuracy in terms of root-mean-square error (RMSE) and mean bias error (MBE); 4.98 % and -0.52 %, respectively. As a result of the comparison with other sensors derived PAR data, GOCI daily PAR shows the highest performance at the ocean around Korean Peninsula. MODIS and AHI derived daily PAR have lower accuracy than GOCI. MODIS daily PAR has RMSE of 10.40 % and -4.15 % with in-situ measurements, and AHI daily PAR has 6.51 % and -4.65 %, respectively. GOCI daily PAR help to understand the marine environment around the Korean Peninsula. For the further study, PAR from GOCI-II will be discussed.

How to cite: Hwang, D. J., Frouin, R., Tan, J., Ahn, J.-H., Moon, J.-E., and Choi, J.-K.: A study on the Estimate of Daily PAR at the ocean around Korean Peninsula using GOCI, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11144, https://doi.org/10.5194/egusphere-egu23-11144, 2023.