日本地球惑星科学連合2024年大会

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[E] 口頭発表

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-CG35] グローバル炭素循環の観測と解析

2024年5月28日(火) 09:00 〜 10:30 301A (幕張メッセ国際会議場)

コンビーナ:市井 和仁(千葉大学)、Patra Prabir(Research Institute for Global Change, JAMSTEC)、伊藤 昭彦(東京大学)、座長:市井 和仁(千葉大学)

09:30 〜 09:45

[ACG35-03] A comprehensive assessment of VISIT GPP using the different GPP products and site-level FLUXNET database

*王 汝慈1市井 和仁1 (1.千葉大学環境リモートセンシング研究センター)

キーワード:Terrestrial carbon cycle、Gross primary production (GPP)、VISIT model、FLUXNET data

The strength of terrestrial carbon sinks significantly correlates with the gross primary production (GPP) of terrestrial ecosystems, thus garnering considerable attention in recent years. GPP is a pivotal element within the carbon biogeochemical cycle, establishing a connection between atmospheric CO2 and terrestrial ecosystems. Accurate quantification of GPP at regional and global scales is paramount for carbon budgets and climate change studies. This study initially computed gross primary productivity (GPP) utilizing a terrestrial carbon cycle model, the Vegetation Integrative SImulator for Trace gases (VISIT). Subsequently, we assessed and compared more than ten GPP datasets across various spatiotemporal scales. Moreover, the FLUXNET2015, ICOS Drought 2018, and ICOS Warm Winter 2020 datasets have been chosen as the site-specific databases for cross-validating GPP. The findings indicate variations in GPP results across different land cover types among the various GPP products. It is acknowledged that the GPP models are heavily influenced by various climatic factors such as temperatures, precipitation, and photosynthetically active radiation. These factors can significantly impact the uncertainties, errors, and accuracies of the models. Moreover, remote sensing data is susceptible to the influence of cloudiness and aerosols, necessitating further efforts to enhance data quality. This study offers valuable insights that can guide future enhancements and applications of the terrestrial GPP models.