Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation : A Case Study Assessment with Extended Triple Collocation
Li, Xiaoxiao ; Sun, Huaiwei ; Yang, Yong ; Sun, Xunlai ; Xiong, Ming ; Ouyang, Shuo ; Li, Haichen ; Qin, Hui and Zhang, Wenxin LU
(2024)
In Remote Sensing
16(13).
- Abstract
Accurate and reliable estimation of actual evapotranspiration (AET) is essential for various hydrological studies, including drought prediction, water resource management, and the analysis of atmospheric–terrestrial carbon exchanges. Gridded AET products offer potential for application in ungauged areas, but their uncertainties may be significant, making it difficult to identify the best products for specific regions. While in situ data directly estimate gridded ET products, their applicability is limited in ungauged areas that require FLUXNET data. This paper employs an Extended Triple Collocation (ETC) method to estimate the uncertainty of Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network (FLDAS),... (More)
Accurate and reliable estimation of actual evapotranspiration (AET) is essential for various hydrological studies, including drought prediction, water resource management, and the analysis of atmospheric–terrestrial carbon exchanges. Gridded AET products offer potential for application in ungauged areas, but their uncertainties may be significant, making it difficult to identify the best products for specific regions. While in situ data directly estimate gridded ET products, their applicability is limited in ungauged areas that require FLUXNET data. This paper employs an Extended Triple Collocation (ETC) method to estimate the uncertainty of Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network (FLDAS), and Maximum Entropy Production (MEP) AET product without requiring prior information. Subsequently, a merged ET product is generated by combining ET estimates from three original products. Furthermore, the study quantifies the uncertainty of each individual product across different vegetation covers and then compares three original products and the Merged ET with data from 645 in situ sites. The results indicate that GLEAM covers the largest area, accounting for 39.1% based on the correlation coefficient criterion and 39.9% based on the error variation criterion. Meanwhile, FLDAS and MEP exhibit similar performance characteristics. The merged ET derived from the ETC method demonstrates the ability to mitigate uncertainty in ET estimates in North American (NA) and European (EU) regions, as well as tundra, forest, grassland, and shrubland areas. This merged ET could be effectively utilized to reduce uncertainty in AET estimates from multiple products for ungauged areas.
(Less)
- author
- Li, Xiaoxiao
; Sun, Huaiwei
; Yang, Yong
; Sun, Xunlai
; Xiong, Ming
; Ouyang, Shuo
; Li, Haichen
; Qin, Hui
and Zhang, Wenxin
LU
- organization
- publishing date
- 2024-07
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- actual evapotranspiration, Extended Triple Collocation, vegetation cover
- in
- Remote Sensing
- volume
- 16
- issue
- 13
- article number
- 2484
- publisher
- MDPI AG
- external identifiers
-
- scopus:85198335469
- ISSN
- 2072-4292
- DOI
- 10.3390/rs16132484
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 by the authors.
- id
- a72e407d-d9c8-4995-84cc-273d98b695b9
- date added to LUP
- 2024-07-31 21:53:40
- date last changed
- 2024-08-29 13:30:19
@article{a72e407d-d9c8-4995-84cc-273d98b695b9,
abstract = {{<p>Accurate and reliable estimation of actual evapotranspiration (AET) is essential for various hydrological studies, including drought prediction, water resource management, and the analysis of atmospheric–terrestrial carbon exchanges. Gridded AET products offer potential for application in ungauged areas, but their uncertainties may be significant, making it difficult to identify the best products for specific regions. While in situ data directly estimate gridded ET products, their applicability is limited in ungauged areas that require FLUXNET data. This paper employs an Extended Triple Collocation (ETC) method to estimate the uncertainty of Global Land Evaporation Amsterdam Model (GLEAM), Famine Early Warning Systems Network (FLDAS), and Maximum Entropy Production (MEP) AET product without requiring prior information. Subsequently, a merged ET product is generated by combining ET estimates from three original products. Furthermore, the study quantifies the uncertainty of each individual product across different vegetation covers and then compares three original products and the Merged ET with data from 645 in situ sites. The results indicate that GLEAM covers the largest area, accounting for 39.1% based on the correlation coefficient criterion and 39.9% based on the error variation criterion. Meanwhile, FLDAS and MEP exhibit similar performance characteristics. The merged ET derived from the ETC method demonstrates the ability to mitigate uncertainty in ET estimates in North American (NA) and European (EU) regions, as well as tundra, forest, grassland, and shrubland areas. This merged ET could be effectively utilized to reduce uncertainty in AET estimates from multiple products for ungauged areas.</p>}},
author = {{Li, Xiaoxiao and Sun, Huaiwei and Yang, Yong and Sun, Xunlai and Xiong, Ming and Ouyang, Shuo and Li, Haichen and Qin, Hui and Zhang, Wenxin}},
issn = {{2072-4292}},
keywords = {{actual evapotranspiration; Extended Triple Collocation; vegetation cover}},
language = {{eng}},
number = {{13}},
publisher = {{MDPI AG}},
series = {{Remote Sensing}},
title = {{Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation : A Case Study Assessment with Extended Triple Collocation}},
url = {{http://dx.doi.org/10.3390/rs16132484}},
doi = {{10.3390/rs16132484}},
volume = {{16}},
year = {{2024}},
}