Bridging Thermal Infrared Sensing and Physically-Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems

Mallick, K; Toivonen, E; Trebs, I; Boegh, E; Cleverly, J; Eamus, D; Koivusalo, H; Drewry, D; Arndt, SK; Griebel, A; Beringer, J; Garcia, M

Bridging Thermal Infrared Sensing and Physically-Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems

Mallick, K Toivonen, E Trebs, I Boegh, E Cleverly, J

Eamus, D

Koivusalo, H Drewry, D Arndt, SK Griebel, A Beringer, J Garcia, M

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Publication Type:: Journal Article
Citation:: Water Resources Research, 2018, 54 (5), pp. 3409 - 3435
Issue Date:: 2018-05-01

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Field	Value	Language
dc.contributor.author	Mallick, K	en_US
dc.contributor.author	Toivonen, E	en_US
dc.contributor.author	Trebs, I	en_US
dc.contributor.author	Boegh, E	en_US
dc.contributor.author	Cleverly, J https://orcid.org/0000-0002-2731-7150	en_US
dc.contributor.author	Eamus, D https://orcid.org/0000-0003-2765-8040	en_US
dc.contributor.author	Koivusalo, H	en_US
dc.contributor.author	Drewry, D	en_US
dc.contributor.author	Arndt, SK	en_US
dc.contributor.author	Griebel, A	en_US
dc.contributor.author	Beringer, J	en_US
dc.contributor.author	Garcia, M	en_US
dc.date.issued	2018-05-01	en_US
dc.identifier.citation	Water Resources Research, 2018, 54 (5), pp. 3409 - 3435	en_US
dc.identifier.issn	0043-1397	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128390
dc.description.abstract	© 2018. The Authors. Thermal infrared sensing of evapotranspiration (E) through surface energy balance (SEB) models is challenging due to uncertainties in determining the aerodynamic conductance (gA) and due to inequalities between radiometric (TR) and aerodynamic temperatures (T0). We evaluated a novel analytical model, the Surface Temperature Initiated Closure (STIC1.2), that physically integrates TR observations into a combined Penman-Monteith Shuttleworth-Wallace (PM-SW) framework for directly estimating E, and overcoming the uncertainties associated with T0 and gA determination. An evaluation of STIC1.2 against high temporal frequency SEB flux measurements across an aridity gradient in Australia revealed a systematic error of 10–52% in E from mesic to arid ecosystem, and low systematic error in sensible heat fluxes (H) (12–25%) in all ecosystems. Uncertainty in TR versus moisture availability relationship, stationarity assumption in surface emissivity, and SEB closure corrections in E were predominantly responsible for systematic E errors in arid and semi-arid ecosystems. A discrete correlation (r) of the model errors with observed soil moisture variance (r = 0.33–0.43), evaporative index (r = 0.77–0.90), and climatological dryness (r = 0.60–0.77) explained a strong association between ecohydrological extremes and TR in determining the error structure of STIC1.2 predicted fluxes. Being independent of any leaf-scale biophysical parameterization, the model might be an important value addition in working group (WG2) of the Australian Energy and Water Exchange (OzEWEX) research initiative which focuses on observations to evaluate and compare biophysical models of energy and water cycle components.	en_US
dc.relation.ispartof	Water Resources Research	en_US
dc.relation.isbasedon	10.1029/2017WR021357	en_US
dc.subject.classification	Environmental Engineering	en_US
dc.title	Bridging Thermal Infrared Sensing and Physically-Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	54	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0907 Environmental Engineering	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	54	en_US

Abstract:

© 2018. The Authors. Thermal infrared sensing of evapotranspiration (E) through surface energy balance (SEB) models is challenging due to uncertainties in determining the aerodynamic conductance (gA) and due to inequalities between radiometric (TR) and aerodynamic temperatures (T0). We evaluated a novel analytical model, the Surface Temperature Initiated Closure (STIC1.2), that physically integrates TR observations into a combined Penman-Monteith Shuttleworth-Wallace (PM-SW) framework for directly estimating E, and overcoming the uncertainties associated with T0 and gA determination. An evaluation of STIC1.2 against high temporal frequency SEB flux measurements across an aridity gradient in Australia revealed a systematic error of 10–52% in E from mesic to arid ecosystem, and low systematic error in sensible heat fluxes (H) (12–25%) in all ecosystems. Uncertainty in TR versus moisture availability relationship, stationarity assumption in surface emissivity, and SEB closure corrections in E were predominantly responsible for systematic E errors in arid and semi-arid ecosystems. A discrete correlation (r) of the model errors with observed soil moisture variance (r = 0.33–0.43), evaporative index (r = 0.77–0.90), and climatological dryness (r = 0.60–0.77) explained a strong association between ecohydrological extremes and TR in determining the error structure of STIC1.2 predicted fluxes. Being independent of any leaf-scale biophysical parameterization, the model might be an important value addition in working group (WG2) of the Australian Energy and Water Exchange (OzEWEX) research initiative which focuses on observations to evaluate and compare biophysical models of energy and water cycle components.

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http://hdl.handle.net/10453/128390