@article{Chen-2021-Evaluation,
title = "Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration",
author = "Chen, Bin and
Lu, Xuehe and
Wang, Shaoqiang and
Chen, Jing M. and
Liu, Yang and
Fang, Hongliang and
Liu, Zhenhai and
Jiang, Fei and
Arain, M. Altaf and
Chen, Jinghua and
Wang, Xiaobo",
journal = "Remote Sensing, Volume 13, Issue 20",
volume = "13",
number = "20",
year = "2021",
publisher = "MDPI AG",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G21-156001",
doi = "10.3390/rs13204075",
pages = "4075",
abstract = "In terrestrial ecosystems, leaves are aggregated into different spatial structures and their spatial distribution is non-random. Clumping index (CI) is a key canopy structural parameter, characterizing the extent to which leaf deviates from the random distribution. To assess leaf clumping effects on global terrestrial ET, we used a global leaf area index (LAI) map and the latest version of global CI product derived from MODIS BRDF data as well as the Boreal Ecosystem Productivity Simulator (BEPS) to estimate global terrestrial ET. The results show that global terrestrial ET in 2015 was 511.9 {\mbox{$\pm$}} 70.1 mm yr−1 for Case I, where the true LAI and CI are used. Compared to this baseline case, (1) global terrestrial ET is overestimated by 4.7{\%} for Case II where true LAI is used ignoring clumping; (2) global terrestrial ET is underestimated by 13.0{\%} for Case III where effective LAI is used ignoring clumping. Among all plant functional types (PFTs), evergreen needleleaf forests were most affected by foliage clumping for ET estimation in Case II, because they are most clumped with the lowest CI. Deciduous broadleaf forests are affected by leaf clumping most in Case III because they have both high LAI and low CI compared to other PFTs. The leaf clumping effects on ET estimation in both Case II and Case III is robust to the errors in major input parameters. Thus, it is necessary to consider clumping effects in the simulation of global terrestrial ET, which has considerable implications for global water cycle research.",
}
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<abstract>In terrestrial ecosystems, leaves are aggregated into different spatial structures and their spatial distribution is non-random. Clumping index (CI) is a key canopy structural parameter, characterizing the extent to which leaf deviates from the random distribution. To assess leaf clumping effects on global terrestrial ET, we used a global leaf area index (LAI) map and the latest version of global CI product derived from MODIS BRDF data as well as the Boreal Ecosystem Productivity Simulator (BEPS) to estimate global terrestrial ET. The results show that global terrestrial ET in 2015 was 511.9 \pm 70.1 mm yr−1 for Case I, where the true LAI and CI are used. Compared to this baseline case, (1) global terrestrial ET is overestimated by 4.7% for Case II where true LAI is used ignoring clumping; (2) global terrestrial ET is underestimated by 13.0% for Case III where effective LAI is used ignoring clumping. Among all plant functional types (PFTs), evergreen needleleaf forests were most affected by foliage clumping for ET estimation in Case II, because they are most clumped with the lowest CI. Deciduous broadleaf forests are affected by leaf clumping most in Case III because they have both high LAI and low CI compared to other PFTs. The leaf clumping effects on ET estimation in both Case II and Case III is robust to the errors in major input parameters. Thus, it is necessary to consider clumping effects in the simulation of global terrestrial ET, which has considerable implications for global water cycle research.</abstract>
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%0 Journal Article
%T Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration
%A Chen, Bin
%A Lu, Xuehe
%A Wang, Shaoqiang
%A Chen, Jing M.
%A Liu, Yang
%A Fang, Hongliang
%A Liu, Zhenhai
%A Jiang, Fei
%A Arain, M. Altaf
%A Chen, Jinghua
%A Wang, Xiaobo
%J Remote Sensing, Volume 13, Issue 20
%D 2021
%V 13
%N 20
%I MDPI AG
%F Chen-2021-Evaluation
%X In terrestrial ecosystems, leaves are aggregated into different spatial structures and their spatial distribution is non-random. Clumping index (CI) is a key canopy structural parameter, characterizing the extent to which leaf deviates from the random distribution. To assess leaf clumping effects on global terrestrial ET, we used a global leaf area index (LAI) map and the latest version of global CI product derived from MODIS BRDF data as well as the Boreal Ecosystem Productivity Simulator (BEPS) to estimate global terrestrial ET. The results show that global terrestrial ET in 2015 was 511.9 \pm 70.1 mm yr−1 for Case I, where the true LAI and CI are used. Compared to this baseline case, (1) global terrestrial ET is overestimated by 4.7% for Case II where true LAI is used ignoring clumping; (2) global terrestrial ET is underestimated by 13.0% for Case III where effective LAI is used ignoring clumping. Among all plant functional types (PFTs), evergreen needleleaf forests were most affected by foliage clumping for ET estimation in Case II, because they are most clumped with the lowest CI. Deciduous broadleaf forests are affected by leaf clumping most in Case III because they have both high LAI and low CI compared to other PFTs. The leaf clumping effects on ET estimation in both Case II and Case III is robust to the errors in major input parameters. Thus, it is necessary to consider clumping effects in the simulation of global terrestrial ET, which has considerable implications for global water cycle research.
%R 10.3390/rs13204075
%U https://gwf-uwaterloo.github.io/gwf-publications/G21-156001
%U https://doi.org/10.3390/rs13204075
%P 4075
Markdown (Informal)
[Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration](https://gwf-uwaterloo.github.io/gwf-publications/G21-156001) (Chen et al., GWF 2021)
ACL
- Bin Chen, Xuehe Lu, Shaoqiang Wang, Jing M. Chen, Yang Liu, Hongliang Fang, Zhenhai Liu, Fei Jiang, M. Altaf Arain, Jinghua Chen, and Xiaobo Wang. 2021. Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration. Remote Sensing, Volume 13, Issue 20, 13(20):4075.
