Applications of a Thermal-Based Two-Source Energy Balance Model Coupling the Sun-Induced Chlorophyll Fluorescence Data

被引:2
|
作者
Song, Lisheng [1 ]
Ding, Zhonghao [2 ]
Kustas, William P. [3 ]
Hua, Wei [2 ]
Liu, Xinjie [4 ]
Liu, Liangyun [4 ]
Liu, Shaomin [5 ]
Ma, Mingguo [2 ]
Bai, Yan [6 ]
Xu, Ziwei [5 ]
机构
[1] Anhui Normal Univ, Engn Technol Res Ctr Resources Environm & GIS, Sch Geog & Tourism, Wuhu 241008, Anhui, Peoples R China
[2] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing 400715, Peoples R China
[3] USDA ARS, Hydrol & Remote Sensing Lab, ARS, USDA, Beltsville, MD 21738 USA
[4] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[5] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[6] Landzhou Univ, Coll Atmospher Sci, Landzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
Sun-induced chlorophyll fluorescence (SIF); two-source energy balance model (TSEB); water use efficiency (WUE); STOMATAL CONDUCTANCE SCHEME; PRIESTLEY-TAYLOR APPROACH; PARTITIONING EVAPOTRANSPIRATION; TRANSPIRATION; EVAPORATION; SOIL; SCALES;
D O I
10.1109/LGRS.2023.3240996
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Quantifying and monitoring land surface evapotranspiration (ET) is an essential task for understanding the earth's water, energy, and carbon cycles. ET, specifically plant transpiration ( T ), is closely linked to the photosynthesis, which is coupled through stomatal function. However, the mechanistic links between sun-induced chlorophyll fluorescence (SIF) information indicating canopy photosynthetic activity and $T$ are complex and difficult to derive empirically. An empirical SIF- $T$ relationship at ecosystem scale was developed and coupled to the two-source energy balance model (TSEB-SIF) to estimate the ET and its components, $T$ and soil evaporation, E . By comparing model predictions with observations from an irrigated cropland site located in a semiarid region, the TSEB-SIF model shows a slightly better performance to the TSEB model in estimating ET, especially under water deficit conditions. Moreover, the TSEB-SIF model more reliably partitioned the $T$ from ET, while the TSEB model tended to overestimate the contribution of T to ET.
引用
收藏
页数:5
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