干旱区生态环境知识资源中心(Arid): Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture

Arid

DOI	10.5194/hess-26-6311-2022
	Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture
	Li, Sinan; Zhang, Li; Xiao, Jingfeng; Ma, Rui; Tian, Xiangjun; Yan, Min
通讯作者	Zhang, L
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2022
卷号	26 期号:24 页码:6311-6337
英文摘要	Reliable modeling of carbon and water fluxes is essential for understanding the terrestrial carbon and water cycles and informing policy strategies aimed at constraining carbon emissions and improving water use efficiency. We designed an assimilation framework (LPJ-Vegetation and soil moisture Joint Assimilation, or LPJ-VSJA) to improve gross primary production (GPP) and evapotranspiration (ET) estimates globally. The integrated model, LPJ-PM (LPJ-PT-JPLSM Model) as the underlying model, was coupled from the Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ-DGVM version 3.01) and a hydrology module (i.e., the updated Priestley-Taylor Jet Propulsion Laboratory model, PT-JPLSM). Satellite-based soil moisture products derived from the Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active and Passive (SMAP) and leaf area index (LAI) from the Global LAnd and Surface Satellite (GLASS) product were assimilated into LPJ-PM to improve GPP and ET simulations using a proper orthogonal decomposition (POD)-based ensemble four-dimensional variational assimilation method (PODEn4DVar). The joint assimilation framework LPJ-VSJA achieved the best model performance (with an R-2 ( coefficient of determination) of 0.91 and 0.81 and an ubRMSD (unbiased root mean square deviation) reduced by 40.3 % and 29.9 % for GPP and ET, respectively, compared with those of LPJ-DGVM at the monthly scale). The GPP and ET resulting from the assimilation demonstrated a better performance in the arid and semi-arid regions (GPP: R-2 = 0.73, ubRMSD = 1.05 g C m(-2) d(-1); ET: R-2 = 0.73, ubRMSD = 0.61 mm d(-1)) than in the humid and sub-dry humid regions (GPP: R-2 = 0.61, ubRMSD = 1.23 g C m(-2) d(-1); ET: R-2 = 0.66; ubRMSD = 0.67 mm d(-1)). The ET simulated by LPJ-PM that assimilated SMAP or SMOS data had a slight difference, and the SMAP soil moisture data performed better than SMOS data. Our global simulation modeled by LPJ-VSJA was compared with several global GPP and ET products (e.g., GLASS GPP, GOSIF GPP, GLDAS ET, and GLEAM ET) using the triple collocation (TC) method. Our products, especially ET, exhibited advantages in the overall error distribution (estimated error (mu): 3.4 mm per month; estimated standard deviation of mu: 1.91 mm per month). Our research showed that the assimilation of multiple datasets could reduce model uncertainties, while the model performance differed across regions and plant functional types. Our assimilation framework (LPJ-VSJA) can improve the model simulation performance of daily GPP and ET globally, especially in water-limited regions.
类型	Article
语种	英语
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000898790300001
WOS关键词	MULTIPLE DATA STREAMS ; EVAPOTRANSPIRATION ESTIMATION ; VARIATIONAL ASSIMILATION ; ATMOSPHERIC CO2 ; NEAR-SURFACE ; HEAT FLUXES ; MODIS DATA ; PRODUCTS ; SATELLITE ; SMAP
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393062
推荐引用方式 GB/T 7714	Li, Sinan,Zhang, Li,Xiao, Jingfeng,et al. Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture[J],2022,26(24):6311-6337.
APA	Li, Sinan,Zhang, Li,Xiao, Jingfeng,Ma, Rui,Tian, Xiangjun,&Yan, Min.(2022).Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture.HYDROLOGY AND EARTH SYSTEM SCIENCES,26(24),6311-6337.
MLA	Li, Sinan,et al."Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture".HYDROLOGY AND EARTH SYSTEM SCIENCES 26.24(2022):6311-6337.