BESSv2.0: A satellite-based and coupled-process model for quantifying long-term global land-atmosphere fluxes

被引:51
作者
Li, Bolun [1 ]
Ryu, Youngryel [1 ,2 ]
Jiang, Chongya [3 ]
Dechant, Benjamin [1 ,4 ,5 ]
Liu, Jiangong [1 ]
Yan, Yulin [6 ]
Li, Xing [1 ]
机构
[1] Seoul Natl Univ, Res Inst Agr & Life Sci, Seoul, South Korea
[2] Seoul Natl Univ, Dept Landscape Architecture & Rural Syst Engn, Seoul, South Korea
[3] Univ Illinois, Coll Agr Consumer & Environm Sci, Urbana, IL USA
[4] German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany
[5] Univ Leipzig, Leipzig, Germany
[6] Seoul Natl Univ, Interdisciplinary Program Agr & Forest Meteorol, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
WATER-USE EFFICIENCY; LIGHT-USE EFFICIENCY; CARBON-DIOXIDE; ECOSYSTEM RESPIRATION; SOIL RESPIRATION; EDDY COVARIANCE; INTERANNUAL VARIABILITY; TERRESTRIAL BIOSPHERE; SPATIAL-RESOLUTION; BIOCHEMICAL-MODEL;
D O I
10.1016/j.rse.2023.113696
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent remote-sensing-based global carbon, water and energy budgets over land still include considerable uncertainties. Most existing flux products of terrestrial carbon, water and energy components were developed individually, despite the inherently coupled processes among them. In this study, we present a new set of global daily surface downwelling shortwave radiation (SW), net radiation (Rnet), evapotranspiration (ET), gross primary productivity (GPP), terrestrial ecosystem respiration (TER) and net ecosystem exchange (NEE) datasets at 0.05 degrees resolutions from 1982 to 2019, by improving a satellite-based and coupled-process model-the Breathing Earth System Simulator (BESS). The new version of BESS (v2.0) integrated a newly developed ecosystem respiration module, an optimality-based maximum carboxylation rate (Vcmax) model, and extended the temporal coverage of flux datasets from 1982 to 2019. We evaluated BESS products against the FLUXNET2015 dataset at the site scale, and against several remote sensing and/or machine learning products on a global scale. At the site scale, BESS products agreed well with FLUXNET measurements, capturing 84%, 53%, 65%, 51% and 31% of daily variation in Rnet, ET, GPP, TER and NEE, respectively. Interannual variation in BESS NEE showed relatively low consistency with the FLUXNET measurements, while the rest fluxes explained approximately half of the interannual variation. On a global scale, we found marked discrepancies in spatio-temporal patterns between BESS and several benchmark products. Over the period 1982-2019, BESSv2.0 estimated the mean annual global Rnet, ET, GPP, TER and NEE to be 340.97 & PLUSMN; 5.22 ZJ yr- 1 (mean & PLUSMN; 1 SD), 67.67 & PLUSMN; 0.71 103 km3 yr- 1, 125.74 & PLUSMN; 5.95 Pg C yr- 1 (P < 0.01) by-0.05 103 km3 yr-2 for ET, by 0.52 Pg C yr-2 for GPP, by 0.28 Pg C yr-2 for TER, and by-0.25 Pg C yr-2 for NEE. We further evaluated various coupled processes derived by BESS in terms of functional properties (i.e., Budyko relation, carbon-use efficiency, water-use efficiency, and light-use efficiency), which agreed well with FLUXNET observations, unlike the benchmark products. Overall, BESSv2.0 can serve as a set of reliable and independent products from other global satellite products, facilitating studies related to global carbon, water and energy budgets in a coupled and comprehensive manner. , 109.30 & PLUSMN; 3.16 Pg C yr- 1, and -16.28 & PLUSMN; 2.95 Pg C yr- 1, respectively, with significant annual linear trends
引用
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页数:21
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