Estimating non-rainfall-water-inputs-derived latent heat flux with turbulence-based methods

Estimating non-rainfall-water-inputs-derived latent heat flux with turbulence-based methods Agricultural and Forest Meteorology 247 (2017) 533–540 Contents lists available at ScienceDirect Agricultural and Forest Meteorology journal homepage: www.elsevier.com/locate/agrformet Research paper Estimating non-rainfall-water-inputs-derived latent heat flux with MARK turbulence-based methods Anat Florentin, Nurit Agam Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer Campus, 84990, Israel ARTICLE I NFO ABSTRACT Keywords: Non-rainfall water inputs (NRWI) are a significant water source in drylands. Small latent heat flux (λE) involved Non-rainfall water inputs in the formation and evaporation of NRWI presents measurement challenges. Microlysimeters (MLs) are a point Eddy-covariance measurement that was previously shown to be accurate for detecting NRWI. In an attempt to upscale these Surface layer scintillometer measurements, two turbulence-based methods were examined. Their larger spatial extent is potentially an im- Drylands portant improvement over the ML point measurements. However, accumulation of NRWI largely occurs during Latent heat flux the night, during which strong stable conditions are typical for many drylands. This may challenge turbulence- Bare soil based methods.Therefore the applicability of such methods for monitoring NRWI needs to be carefully examined before being disseminated for use. In this research, NRWI-derived λE obtained by an eddy-covariance (EC) and a surface layer scintillometer (SLS) using the energy balance http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultural and Forest Meteorology Elsevier

Estimating non-rainfall-water-inputs-derived latent heat flux with turbulence-based methods

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1923
D.O.I.
10.1016/j.agrformet.2017.08.035
Publisher site
See Article on Publisher Site

Abstract

Agricultural and Forest Meteorology 247 (2017) 533–540 Contents lists available at ScienceDirect Agricultural and Forest Meteorology journal homepage: www.elsevier.com/locate/agrformet Research paper Estimating non-rainfall-water-inputs-derived latent heat flux with MARK turbulence-based methods Anat Florentin, Nurit Agam Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer Campus, 84990, Israel ARTICLE I NFO ABSTRACT Keywords: Non-rainfall water inputs (NRWI) are a significant water source in drylands. Small latent heat flux (λE) involved Non-rainfall water inputs in the formation and evaporation of NRWI presents measurement challenges. Microlysimeters (MLs) are a point Eddy-covariance measurement that was previously shown to be accurate for detecting NRWI. In an attempt to upscale these Surface layer scintillometer measurements, two turbulence-based methods were examined. Their larger spatial extent is potentially an im- Drylands portant improvement over the ML point measurements. However, accumulation of NRWI largely occurs during Latent heat flux the night, during which strong stable conditions are typical for many drylands. This may challenge turbulence- Bare soil based methods.Therefore the applicability of such methods for monitoring NRWI needs to be carefully examined before being disseminated for use. In this research, NRWI-derived λE obtained by an eddy-covariance (EC) and a surface layer scintillometer (SLS) using the energy balance

Journal

Agricultural and Forest MeteorologyElsevier

Published: Dec 15, 2017

References

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