Home > Research > Publications & Outputs > Reintroducing radiometric surface temperature i...

Electronic data

  • Mallick_et_al-2015-Water_Resources_Research

    Rights statement: COPYRIGHT 2015. American Geophysical Union. All Rights Reserved.

    Final published version, 3.35 MB, PDF document

    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

Links

Text available via DOI:

View graph of relations

Reintroducing radiometric surface temperature into the Penman-Monteith formulation

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published
  • Kaniska Mallick
  • Eva Boegh
  • Ivonne Trebs
  • Joseph G. Alfieri
  • William P. Kustas
  • John H. Prueger
  • Dev Niyogi
  • Narendra Das
  • Darren T. Drewry
  • Lucien Hoffmann
  • Andrew James Jarvis
Close
<mark>Journal publication date</mark>08/2015
<mark>Journal</mark>Water Resources Research
Issue number8
Volume51
Number of pages30
Pages (from-to)6214-6243
Publication StatusPublished
Early online date8/08/15
<mark>Original language</mark>English

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.

Bibliographic note

COPYRIGHT 2015. American Geophysical Union. All Rights Reserved.