globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-3775-2020
论文题名:
The influence of assimilating leaf area index in a land surface model on global water fluxes and storages
作者: Zhang X.; Maggioni V.; Rahman A.; Houser P.; Xue Y.; Sauer T.; Kumar S.; Mocko D.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:7
起始页码: 3775
结束页码: 3788
语种: 英语
Scopus关键词: Carbon ; Evapotranspiration ; Soil moisture ; Surface measurement ; Vegetation ; Water supply ; Canopy interception ; Ensemble Kalman Filter ; Land surface modeling ; Land surface models ; Observing system simulation experiments ; Surface evapotranspiration ; Surface soil moisture ; Terrestrial water storage ; Digital storage ; evaporation ; evapotranspiration ; leaf area index ; precipitation (climatology) ; soil moisture ; soil-vegetation interaction ; water flux ; water storage
英文摘要: Vegetation plays a fundamental role not only in the energy and carbon cycles but also in the global water balance by controlling surface evapotranspiration (ET). Thus, accurately estimating vegetation-related variables has the potential to improve our understanding and estimation of the dynamic interactions between the water, energy, and carbon cycles. This study aims to assess the extent to which a land surface model (LSM) can be optimized through the assimilation of leaf area index (LAI) observations at the global scale. Two observing system simulation experiments (OSSEs) are performed to evaluate the efficiency of assimilating LAI into an LSM through an ensemble Kalman filter (EnKF) to estimate LAI, ET, canopy-interception evaporation (CIE), canopy water storage (CWS), surface soil moisture (SSM), and terrestrial water storage (TWS). Results show that the LAI data assimilation framework not only effectively reduces errors in LAI model simulations but also improves all the modeled water flux and storage variables considered in this study (ET, CIE, CWS, SSM, and TWS), even when the forcing precipitation is strongly positively biased (extremely wet conditions). However, it tends to worsen some of the modeled water-related variables (SSM and TWS) when the forcing precipitation is affected by a dry bias. This is attributed to the fact that the amount of water in the LSM is conservative, and the LAI assimilation introduces more vegetation, which requires more water than what is available within the soil. © 2020 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162631
Appears in Collections:气候变化与战略

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作者单位: Zhang, X., Department of Civil Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, United States; Maggioni, V., Department of Civil Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, United States; Rahman, A., Department of Civil Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, United States; Houser, P., Department of Civil Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, United States; Xue, Y., Department of Civil Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, United States; Sauer, T., Department of Civil Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA 20771, United States; Kumar, S., Hydrological Sciences Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD 20771, United States; Mocko, D., Hydrological Sciences Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD 20771, United States

Recommended Citation:
Zhang X.,Maggioni V.,Rahman A.,et al. The influence of assimilating leaf area index in a land surface model on global water fluxes and storages[J]. Hydrology and Earth System Sciences,2020-01-01,24(7)
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