Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions

Yan Li, William P. Kustas*, Chunlin Huang, Hector Nieto, Erfan Haghighi, Martha C. Anderson, Francisco Domingo, Monica Garcia, Russell L. Scott

*Corresponding author for this work

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Abstract

Relatively small fluctuations in the surface energy balance and evapotranspiration (ET) in semiarid and arid regions can be indicative of significant changes to ecosystem health. Therefore, it is imperative to have approaches for monitoring surface fluxes in these regions. The remote sensing‐based Two‐Source Energy Balance (TSEB) model is a suitable method for flux estimation over sparsely vegetated semiarid and arid landscapes since it explicitly considers surface energy flux contributions from soil and vegetation. However, previous studies indicate that TSEB generally underestimates sensible heat flux (H) and hence overestimates latent heat flux (LE) or ET for these regions unless soil resistance coefficients are modified based on additional ground information. In this study, TSEB is applied over semiarid and arid regions on three continents using the original soil resistance formulation with modified coefficients and a recently developed physically‐based soil resistance formulation. Model sensitivity analysis demonstrates the high sensitivity of TSEB with original soil resistance formulation to soil resistance coefficients, while TSEB with the new soil resistance formulation has relatively low sensitivity to uncertainties in all coefficients. The performance of TSEB using different soil resistance formulations are evaluated by comparing modeled H against eddy covariance measurements in six semiarid and arid study sites and ranking the error statistics. Our results indicate that incorporating the new soil resistance formulation into TSEB would enhance its utility in flux estimation over heterogeneous landscapes by obviating its reliance on semi‐empirical coefficients, and thus provide more robust fluxes over sparsely vegetated regions without model calibration and/or parameter tuning.
Original languageEnglish
JournalWater Resources Research
Volume55
Issue number2
Pages (from-to)1059-1078
ISSN0043-1397
DOIs
Publication statusPublished - 2019

Cite this

Li, Yan ; Kustas, William P. ; Huang, Chunlin ; Nieto, Hector ; Haghighi, Erfan ; Anderson, Martha C. ; Domingo, Francisco ; Garcia, Monica ; Scott, Russell L. / Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions. In: Water Resources Research. 2019 ; Vol. 55, No. 2. pp. 1059-1078.
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title = "Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions",
abstract = "Relatively small fluctuations in the surface energy balance and evapotranspiration (ET) in semiarid and arid regions can be indicative of significant changes to ecosystem health. Therefore, it is imperative to have approaches for monitoring surface fluxes in these regions. The remote sensing‐based Two‐Source Energy Balance (TSEB) model is a suitable method for flux estimation over sparsely vegetated semiarid and arid landscapes since it explicitly considers surface energy flux contributions from soil and vegetation. However, previous studies indicate that TSEB generally underestimates sensible heat flux (H) and hence overestimates latent heat flux (LE) or ET for these regions unless soil resistance coefficients are modified based on additional ground information. In this study, TSEB is applied over semiarid and arid regions on three continents using the original soil resistance formulation with modified coefficients and a recently developed physically‐based soil resistance formulation. Model sensitivity analysis demonstrates the high sensitivity of TSEB with original soil resistance formulation to soil resistance coefficients, while TSEB with the new soil resistance formulation has relatively low sensitivity to uncertainties in all coefficients. The performance of TSEB using different soil resistance formulations are evaluated by comparing modeled H against eddy covariance measurements in six semiarid and arid study sites and ranking the error statistics. Our results indicate that incorporating the new soil resistance formulation into TSEB would enhance its utility in flux estimation over heterogeneous landscapes by obviating its reliance on semi‐empirical coefficients, and thus provide more robust fluxes over sparsely vegetated regions without model calibration and/or parameter tuning.",
author = "Yan Li and Kustas, {William P.} and Chunlin Huang and Hector Nieto and Erfan Haghighi and Anderson, {Martha C.} and Francisco Domingo and Monica Garcia and Scott, {Russell L.}",
year = "2019",
doi = "10.1029/2018WR022981",
language = "English",
volume = "55",
pages = "1059--1078",
journal = "Water Resources Research",
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Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions. / Li, Yan; Kustas, William P.; Huang, Chunlin; Nieto, Hector; Haghighi, Erfan; Anderson, Martha C.; Domingo, Francisco; Garcia, Monica; Scott, Russell L.

In: Water Resources Research, Vol. 55, No. 2, 2019, p. 1059-1078.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Evaluating soil resistance formulations in thermal-based two source energy balance (TSEB) model: Implications for heterogeneous semiarid and arid regions

AU - Li, Yan

AU - Kustas, William P.

AU - Huang, Chunlin

AU - Nieto, Hector

AU - Haghighi, Erfan

AU - Anderson, Martha C.

AU - Domingo, Francisco

AU - Garcia, Monica

AU - Scott, Russell L.

PY - 2019

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N2 - Relatively small fluctuations in the surface energy balance and evapotranspiration (ET) in semiarid and arid regions can be indicative of significant changes to ecosystem health. Therefore, it is imperative to have approaches for monitoring surface fluxes in these regions. The remote sensing‐based Two‐Source Energy Balance (TSEB) model is a suitable method for flux estimation over sparsely vegetated semiarid and arid landscapes since it explicitly considers surface energy flux contributions from soil and vegetation. However, previous studies indicate that TSEB generally underestimates sensible heat flux (H) and hence overestimates latent heat flux (LE) or ET for these regions unless soil resistance coefficients are modified based on additional ground information. In this study, TSEB is applied over semiarid and arid regions on three continents using the original soil resistance formulation with modified coefficients and a recently developed physically‐based soil resistance formulation. Model sensitivity analysis demonstrates the high sensitivity of TSEB with original soil resistance formulation to soil resistance coefficients, while TSEB with the new soil resistance formulation has relatively low sensitivity to uncertainties in all coefficients. The performance of TSEB using different soil resistance formulations are evaluated by comparing modeled H against eddy covariance measurements in six semiarid and arid study sites and ranking the error statistics. Our results indicate that incorporating the new soil resistance formulation into TSEB would enhance its utility in flux estimation over heterogeneous landscapes by obviating its reliance on semi‐empirical coefficients, and thus provide more robust fluxes over sparsely vegetated regions without model calibration and/or parameter tuning.

AB - Relatively small fluctuations in the surface energy balance and evapotranspiration (ET) in semiarid and arid regions can be indicative of significant changes to ecosystem health. Therefore, it is imperative to have approaches for monitoring surface fluxes in these regions. The remote sensing‐based Two‐Source Energy Balance (TSEB) model is a suitable method for flux estimation over sparsely vegetated semiarid and arid landscapes since it explicitly considers surface energy flux contributions from soil and vegetation. However, previous studies indicate that TSEB generally underestimates sensible heat flux (H) and hence overestimates latent heat flux (LE) or ET for these regions unless soil resistance coefficients are modified based on additional ground information. In this study, TSEB is applied over semiarid and arid regions on three continents using the original soil resistance formulation with modified coefficients and a recently developed physically‐based soil resistance formulation. Model sensitivity analysis demonstrates the high sensitivity of TSEB with original soil resistance formulation to soil resistance coefficients, while TSEB with the new soil resistance formulation has relatively low sensitivity to uncertainties in all coefficients. The performance of TSEB using different soil resistance formulations are evaluated by comparing modeled H against eddy covariance measurements in six semiarid and arid study sites and ranking the error statistics. Our results indicate that incorporating the new soil resistance formulation into TSEB would enhance its utility in flux estimation over heterogeneous landscapes by obviating its reliance on semi‐empirical coefficients, and thus provide more robust fluxes over sparsely vegetated regions without model calibration and/or parameter tuning.

U2 - 10.1029/2018WR022981

DO - 10.1029/2018WR022981

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VL - 55

SP - 1059

EP - 1078

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 2

ER -