Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-3401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Analysing surface energy balance closure and partitioning over a semi-arid savanna FLUXNET site in Skukuza, Kruger National Park, South Africa
Nobuhle P. Majozi
CORRESPONDING AUTHOR
Earth Observation Group, Natural Resources and Environment, Council
for Scientific and Industrial Research, Pretoria, 0001, South Africa
Department of Water Resources, Faculty of Geo-Information Science and
Earth Observation (ITC), University of Twente, Enschede, 75AA, the
Netherlands
Chris M. Mannaerts
Department of Water Resources, Faculty of Geo-Information Science and
Earth Observation (ITC), University of Twente, Enschede, 75AA, the
Netherlands
Abel Ramoelo
Earth Observation Group, Natural Resources and Environment, Council
for Scientific and Industrial Research, Pretoria, 0001, South Africa
University of Limpopo, Risk and Vulnerability Centre, Sovenga, 0727, South
Africa
Renaud Mathieu
Earth Observation Group, Natural Resources and Environment, Council
for Scientific and Industrial Research, Pretoria, 0001, South Africa
Department of Geography, Geoinformatics and Meteorology, University of
Pretoria, Pretoria, South Africa
Alecia Nickless
Nuffield Department of Primary Care Health Sciences, University of
Oxford, Oxford, OX2 6GG, UK
Wouter Verhoef
Department of Water Resources, Faculty of Geo-Information Science and
Earth Observation (ITC), University of Twente, Enschede, 75AA, the
Netherlands
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Latest update: 14 Dec 2024
Short summary
The study analysed the quality and partitioning of a 15-year surface energy dataset from Skukuza flux tower. The yearly mean energy balance ratio (EBR) was 0.93, with the dry season having the lowest ratio. Night ratio was lower than daytime, with analysis showing an increase in EBR with increase in friction velocity, which is also linked to time of day. The energy partitioning showed that sensible heat flux is the dominant portion in the dry season, and latent heat flux during the wet season.
The study analysed the quality and partitioning of a 15-year surface energy dataset from Skukuza...