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2022 Fiscal Year Final Research Report

Development of a long-term 4D-Var inverse analysis system for estimating CO2 fluxes in multiple scales

Research Project

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Project/Area Number 19K03976
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 17020:Atmospheric and hydrospheric sciences-related
Research InstitutionNational Institute for Environmental Studies

Principal Investigator

Niwa Yosuke  国立研究開発法人国立環境研究所, 地球システム領域, 主任研究員 (70588318)

Project Period (FY) 2019-04-01 – 2023-03-31
Keywords二酸化炭素 / 逆解析 / 温暖化
Outline of Final Research Achievements

Based on an inverse analysis system with the 4-dimensional variational method, we developed optimization schemes to estimate surface CO2 fluxes in multiple scales - from few hours to a decade. Optimization schemes to simultaneously estimate fluxes in several temporal scales were developed and then implemented in the system. Consequently, diurnally varying gross-fluxes such as photosynthesis and respiration have become optimization parameters even for a 30-yr long time analysis period, whose inverse analysis would help us to better understand carbon cycle mechanisms.

Free Research Field

大気科学

Academic Significance and Societal Importance of the Research Achievements

地球表層における炭素循環メカニズムには未だ解明すべき点が多く残されており、温暖化予測に大きな不確定性が生じている。大気濃度からCO2の地表面フラックスを推定する「逆解析」は有力な手法の一つであるが、その逆解析について本研究では、様々なスケールのフラックスを適切に最適化するための手法開発をするなどの開発研究を行い、その結果、フラックス推定の精度向上が向上した。これにより、炭素循環メカニズムの理解が促進し、温暖化予測の不確定性低減に繋がると期待される。

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Published: 2024-01-30  

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