JpGU-AGU Joint Meeting 2020

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-OS Ocean Sciences & Ocean Environment

[A-OS19] Marine ecosystems and biogeochemical cycles: theory, observation and modeling

convener:Takafumi Hirata(Arctic Research Center, Hokkaido University), Shin-ichi Ito(Atmosphere and Ocean Research Institute, The University of Tokyo), Enrique N Curchitser(Rutgers University New Brunswick), Eileen E Hofmann(Old Dominion University)

[AOS19-11] Potential differences between in-situ and remote oceanic primary productivity

*Ko-Mei LIN1, Chung-Yu Chiang1, Yung-Yen Shih1 (1.R.O.C NAVAL ACADEMY Dept. of Applied Science)

Keywords:oceanic primary productivity, northern South China Sea

Oceanic primary productivity (OPP) is a source to keep marine ecosystem cycling;

it also plays an significant role in supplying the energy for marine lives; hence, it is essential to estimate OPP accurately so as to understand the ocean carbon cycle. There are two ways to measure OPP, including satellite remote sensing and in-situ observation. However, numerous previous studies indicate that there are differences between remote and in-situ OPP in diverse time and space scales. Therefore, this research intends to investigate the factors that cause the differences through remote and in-situ data on OPP at the northern South China Sea (NSCS). We draw on six cruise data, collected from November 2018 to November 2019, which contain spatiotemporal factors in different seasons and natural phenomena. The results show that the average value from satellite remote sensing is 266 mg-C m−2 d−1 and average mean from in-situ observation is 211 mg-C m−2d−1.The former is 26% higher than the latter. One of the main cause of the difference may result from Chlorophyll-a (chl a). The surface chl a measured by satellites cannot truly reflect the integrated chl a effected by various spatiotemporal conditions and natural factors, it may result in inevitable differences when estimating of OPP by the VGPM (Vertically Generalized Production Model). In addition, the data in our preliminary study shows that OPP obtained by satellite remote sensing needs to be calibrated in the application at the NSCS.