[A-CG39] Global Carbon Cycle Observation and Analysis

[ACG39-P07] Global products of carbon and water fluxes derived from BESS model with GCOM-C SGLI datasets

*SHAO SHUAI¹, Misaki Hase¹, Kazuhito Ichii¹, Tomoko Kawaguchi Akitsu², Hiroshi MURAKAMI² (1.Chiba University, 2.Japan Aerospace Exploration Agency)

Keywords:Terrestrial Carbon Cycle, Global Water Cycle, Remote Sensing, Diagnostic Model

Remote sensing-based global carbon flux products, derived from terrestrial diagnostic models, have gained prominence for their detailed coverage of real-time land observations and their comprehensive integration of atmospheric, vegetation, and soil systems, along with their fluxes. The Breathing Earth System Simulator (BESS) is a process-oriented model that incorporates atmospheric and canopy radiative transfer, photosynthesis, evaporation, and soil moisture dynamics. This study seeks to enhance the BESS model by incorporating data from the GCOM-C SGLI satellite. This satellite provides medium spatial resolution (250m to 1km) across various spectral bands, aiming to deepen our understanding of climate variations and carbon cycle alterations. To refine BESS, we utilize a range of SGLI products, such as land surface temperature (LST), albedo, leaf area index (LAI), and shortwave radiation (SWR), as model inputs. Our enhancements focus on accurately quantifying global gross primary productivity (GPP) and evapotranspiration (ET) using GCOM-C SGLI data. This data spans from 2018 to 2024, with spatial resolutions of 0.05°and an 8-day temporal resolution. We collected 300 flux tower sites from FLUXNET, Ameriflux, Ozflux, and Asiaflux on a global scale to validate the accuracy of our products. The results from 2018 to 2022 showed fine linear relations with measurements of GPP (R² = 0.56) and ET (R² = 0.45). Special attention was also captured to case studies such as interannual variations in response to climate extremes, such as the 2020 Russian heatwave and the 2022 extreme dry summer in southwestern China.