17:15 〜 18:45
[ACG36-P05] Development of global primary productivity and evapotranspiration products derived from enhanced BESS model and GCOM-C SGLI datasets
キーワード：地球炭素循環、リモートセンシング、診断モデル
Remote sensing-based global carbon flux products, derived from terrestrial models, have seen a surge in 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, and both evaporation and soil moisture dynamics. This study seeks to enhance the BESS model by incorporating data from the GCOM-C SGLI satellite and make corresponding model optimization. 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 2022, with spatial resolutions of 250m and 5km and an 8-day temporal resolution. Additionally, we will conduct optimization efforts based on multiple observation constraints for the BESS model to improve GPP and ET products. The expected outcomes of this study are including: (1) Aligning our enhanced flux data with existing measurements from 276 flux sites worldwide, leveraging our refined 5km and 250m resolution products. (2) Enhancing model performance through the integration of multiple observational constraints, refining initial input parameters. (3) Providing these improvements in near real-time on the JAXA website, thereby making a notable contribution to the global carbon flux estimation field.