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Reintroducing radiometric surface temperature into the Penman-Monteith formulation

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Reintroducing radiometric surface temperature into the Penman-Monteith formulation. / Mallick, Kaniska; Boegh, Eva; Trebs, Ivonne et al.
In: Water Resources Research, Vol. 51, No. 8, 08.2015, p. 6214-6243.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Mallick, K, Boegh, E, Trebs, I, Alfieri, JG, Kustas, WP, Prueger, JH, Niyogi, D, Das, N, Drewry, DT, Hoffmann, L & Jarvis, AJ 2015, 'Reintroducing radiometric surface temperature into the Penman-Monteith formulation', Water Resources Research, vol. 51, no. 8, pp. 6214-6243. https://doi.org/10.1002/2014WR016106

APA

Mallick, K., Boegh, E., Trebs, I., Alfieri, J. G., Kustas, W. P., Prueger, J. H., Niyogi, D., Das, N., Drewry, D. T., Hoffmann, L., & Jarvis, A. J. (2015). Reintroducing radiometric surface temperature into the Penman-Monteith formulation. Water Resources Research, 51(8), 6214-6243. https://doi.org/10.1002/2014WR016106

Vancouver

Mallick K, Boegh E, Trebs I, Alfieri JG, Kustas WP, Prueger JH et al. Reintroducing radiometric surface temperature into the Penman-Monteith formulation. Water Resources Research. 2015 Aug;51(8):6214-6243. Epub 2015 Aug 8. doi: 10.1002/2014WR016106

Author

Mallick, Kaniska ; Boegh, Eva ; Trebs, Ivonne et al. / Reintroducing radiometric surface temperature into the Penman-Monteith formulation. In: Water Resources Research. 2015 ; Vol. 51, No. 8. pp. 6214-6243.

Bibtex

@article{a522ff1794594693abd6ec9ed4cd6372,
title = "Reintroducing radiometric surface temperature into the Penman-Monteith formulation",
abstract = "Here we demonstrate a novel method to physically integrate radiometric surface temperature (TR) into the Penman-Monteith (PM) formulation for estimating the terrestrial sensible and latent heat fluxes (H and λE) in the framework of a modified Surface Temperature Initiated Closure (STIC). It combines TR data with standard energy balance closure models for deriving a hybrid scheme that does not require parameterization of the surface (or stomatal) and aerodynamic conductances (gS and gB). STIC is formed by the simultaneous solution of four state equations and it uses TR as an additional data source for retrieving the “near surface” moisture availability (M) and the Priestley-Taylor coefficient (α). The performance of STIC is tested using high-temporal resolution TR observations collected from different international surface energy flux experiments in conjunction with corresponding net radiation (RN), ground heat flux (G), air temperature (TA), and relative humidity (RH) measurements. A comparison of the STIC outputs with the eddy covariance measurements of λE and H revealed RMSDs of 7–16% and 40–74% in half-hourly λE and H estimates. These statistics were 5–13% and 10–44% in daily λE and H. The errors and uncertainties in both surface fluxes are comparable to the models that typically use land surface parameterizations for determining the unobserved components (gS and gB) of the surface energy balance models. However, the scheme is simpler, has the capabilities for generating spatially explicit surface energy fluxes and independent of submodels for boundary layer developments.",
author = "Kaniska Mallick and Eva Boegh and Ivonne Trebs and Alfieri, {Joseph G.} and Kustas, {William P.} and Prueger, {John H.} and Dev Niyogi and Narendra Das and Drewry, {Darren T.} and Lucien Hoffmann and Jarvis, {Andrew James}",
note = "COPYRIGHT 2015. American Geophysical Union. All Rights Reserved.",
year = "2015",
month = aug,
doi = "10.1002/2014WR016106",
language = "English",
volume = "51",
pages = "6214--6243",
journal = "Water Resources Research",
issn = "0043-1397",
publisher = "AMER GEOPHYSICAL UNION",
number = "8",

}

RIS

TY - JOUR

T1 - Reintroducing radiometric surface temperature into the Penman-Monteith formulation

AU - Mallick, Kaniska

AU - Boegh, Eva

AU - Trebs, Ivonne

AU - Alfieri, Joseph G.

AU - Kustas, William P.

AU - Prueger, John H.

AU - Niyogi, Dev

AU - Das, Narendra

AU - Drewry, Darren T.

AU - Hoffmann, Lucien

AU - Jarvis, Andrew James

N1 - COPYRIGHT 2015. American Geophysical Union. All Rights Reserved.

PY - 2015/8

Y1 - 2015/8

N2 - Here we demonstrate a novel method to physically integrate radiometric surface temperature (TR) into the Penman-Monteith (PM) formulation for estimating the terrestrial sensible and latent heat fluxes (H and λE) in the framework of a modified Surface Temperature Initiated Closure (STIC). It combines TR data with standard energy balance closure models for deriving a hybrid scheme that does not require parameterization of the surface (or stomatal) and aerodynamic conductances (gS and gB). STIC is formed by the simultaneous solution of four state equations and it uses TR as an additional data source for retrieving the “near surface” moisture availability (M) and the Priestley-Taylor coefficient (α). The performance of STIC is tested using high-temporal resolution TR observations collected from different international surface energy flux experiments in conjunction with corresponding net radiation (RN), ground heat flux (G), air temperature (TA), and relative humidity (RH) measurements. A comparison of the STIC outputs with the eddy covariance measurements of λE and H revealed RMSDs of 7–16% and 40–74% in half-hourly λE and H estimates. These statistics were 5–13% and 10–44% in daily λE and H. The errors and uncertainties in both surface fluxes are comparable to the models that typically use land surface parameterizations for determining the unobserved components (gS and gB) of the surface energy balance models. However, the scheme is simpler, has the capabilities for generating spatially explicit surface energy fluxes and independent of submodels for boundary layer developments.

AB - Here we demonstrate a novel method to physically integrate radiometric surface temperature (TR) into the Penman-Monteith (PM) formulation for estimating the terrestrial sensible and latent heat fluxes (H and λE) in the framework of a modified Surface Temperature Initiated Closure (STIC). It combines TR data with standard energy balance closure models for deriving a hybrid scheme that does not require parameterization of the surface (or stomatal) and aerodynamic conductances (gS and gB). STIC is formed by the simultaneous solution of four state equations and it uses TR as an additional data source for retrieving the “near surface” moisture availability (M) and the Priestley-Taylor coefficient (α). The performance of STIC is tested using high-temporal resolution TR observations collected from different international surface energy flux experiments in conjunction with corresponding net radiation (RN), ground heat flux (G), air temperature (TA), and relative humidity (RH) measurements. A comparison of the STIC outputs with the eddy covariance measurements of λE and H revealed RMSDs of 7–16% and 40–74% in half-hourly λE and H estimates. These statistics were 5–13% and 10–44% in daily λE and H. The errors and uncertainties in both surface fluxes are comparable to the models that typically use land surface parameterizations for determining the unobserved components (gS and gB) of the surface energy balance models. However, the scheme is simpler, has the capabilities for generating spatially explicit surface energy fluxes and independent of submodels for boundary layer developments.

U2 - 10.1002/2014WR016106

DO - 10.1002/2014WR016106

M3 - Journal article

VL - 51

SP - 6214

EP - 6243

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 8

ER -