Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling

From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems

Kaniska Mallick, Erika Toivonen, Ivonne Trebs, Eva Bøgh, James Cleverly, Derek Eamus, Harri Koivusalo, Darren Drewry, Stefan K. Arndt, Anne Griebel, Jason Beringer, Monica Garcia

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TidsskriftWater Resources Research
Vol/bind64
Udgave nummer5
Sider (fra-til)3409-3435
ISSN0043-1397
DOI
StatusUdgivet - 2018

Citer dette

Mallick, Kaniska ; Toivonen, Erika ; Trebs, Ivonne ; Bøgh, Eva ; Cleverly, James ; Eamus, Derek ; Koivusalo, Harri ; Drewry, Darren ; Arndt, Stefan K. ; Griebel, Anne ; Beringer, Jason ; Garcia, Monica. / Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling : From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems. I: Water Resources Research. 2018 ; Bind 64, Nr. 5. s. 3409-3435.
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title = "Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems",
abstract = "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.",
author = "Kaniska Mallick and Erika Toivonen and Ivonne Trebs and Eva B{\o}gh and James Cleverly and Derek Eamus and Harri Koivusalo and Darren Drewry and Arndt, {Stefan K.} and Anne Griebel and Jason Beringer and Monica Garcia",
year = "2018",
doi = "10.1029/2017WR021357",
language = "English",
volume = "64",
pages = "3409--3435",
journal = "Water Resources Research",
issn = "0043-1397",
publisher = "Wiley-Blackwell Publishing, Inc",
number = "5",

}

Mallick, K, Toivonen, E, Trebs, I, Bøgh, E, Cleverly, J, Eamus, D, Koivusalo, H, Drewry, D, Arndt, SK, Griebel, A, Beringer, J & Garcia, M 2018, 'Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems', Water Resources Research, bind 64, nr. 5, s. 3409-3435. https://doi.org/10.1029/2017WR021357

Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling : From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems. / Mallick, Kaniska; Toivonen, Erika; Trebs, Ivonne; Bøgh, Eva; Cleverly, James; Eamus, Derek; Koivusalo, Harri; Drewry, Darren; Arndt, Stefan K.; Griebel, Anne; Beringer, Jason; Garcia, Monica.

I: Water Resources Research, Bind 64, Nr. 5, 2018, s. 3409-3435.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling

T2 - From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems

AU - Mallick, Kaniska

AU - Toivonen, Erika

AU - Trebs, Ivonne

AU - Bøgh, Eva

AU - Cleverly, James

AU - Eamus, Derek

AU - Koivusalo, Harri

AU - Drewry, Darren

AU - Arndt, Stefan K.

AU - Griebel, Anne

AU - Beringer, Jason

AU - Garcia, Monica

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1029/2017WR021357

DO - 10.1029/2017WR021357

M3 - Journal article

VL - 64

SP - 3409

EP - 3435

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 5

ER -