日本地球惑星科学連合2019年大会

講演情報

[J] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG45] 水圏科学における可視域リモートセンシングとその応用

2019年5月28日(火) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:石坂 丞二(名古屋大学宇宙地球環境研究所)、虎谷 充浩(東海大学工学部)、作野 裕司(広島大学大学院工学研究科)、平譯 享(北海道大学大学院水産科学研究院)

[ACG45-P04] Improvement of absorption-based primary production model for SGLI/GCOM-C

*平譯 享1塩崎 拓平2和賀 久朋1鈴木 光次1 (1.北海道大学、2.海洋研究開発機構)

キーワード:海色リモートセンシング、基礎生産、植物プランクトン

Net primary production (NPP) of phytoplankton is important to understand the global carbon cycle and marine ecosystem. While the majority of satellite NPP models use chlorophyll a(chl-a) concentration as a proxy of phytoplankton biomass, several NPP models use absorption coefficient of phytoplankton. An NPP models for Japanese new ocean color sensor, Second-generation GLobal Imager (SGLI), was developed based on the phytoplankton absorption to reduce estimation errors of chl-adue to pigment packaging and turbid water. However, sufficient validation in the open ocean has not been carried out. In this study, we obtained NPP data in the Pacific Ocean and compared with satellite-derived NPP applying the SGLI NPP model to MODIS data. The model overestimated the lower values of NPP less than 1000 mg m2d-1. Newly developed model considering response to daily averaged photosynthetically available radiation (PAR) showed better performance than previous one. However, bias and errors were still detected for a part of data. We will also discuss possibility of temperature dependency on this NPP model.