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Lake-Atmosphere Heat Flux Dynamics of a Thermokarst Lake in Arctic Siberia

  • D. Franz*
  • , I. Mammarella
  • , J. Boike
  • , G. Kirillin
  • , T. Vesala
  • , N. Bornemann
  • , E. Larmanou
  • , M. Langer
  • , T. Sachs
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We conducted eddy covariance measurements from April to August 2014 on a Siberian thermokarst lake. The study site is located in the Lena River Delta and characterized as a floating ice lake. Heat fluxes differed in magnitudes, directions and temporal patterns depending on the lake surface conditions (“frozen” ice cover, ice cover melt, and open water). Significant heat release during frozen ice cover conditions highlighted the importance of lakes for the landscape heat budget and water balance. The energy balance was nearly closed during the open water period and highlighted the impact of melting energy on its closure during the ice cover period. Sensible and latent heat dynamics were driven by temperature and water vapor gradients scaled by wind speed, respectively. We calculated bulk aerodynamics transfer coefficients and evaluated the performance of the derived in situ and three independent heat flux parameterization schemes. We found that bulk transfer models perform moderately to poorly for the different lake surface conditions. During the open water period small-scale temporal variability could not be represented by the models, particularly in case of latent heat flux. The model results were less sensitive to the specific model type than to the accuracy of the surface water temperature measurement, which is dependent on a well-thought-out measurement design. Our study stresses considerations that are crucial for similar campaigns in the future, in order to face the measurement challenges encountered on arctic lakes especially during the ice cover period.

Original languageEnglish
Pages (from-to)5222-5239
Number of pages18
JournalJournal of Geophysical Research: Atmospheres
Volume123
Issue number10
DOIs
Publication statusPublished - 27 May 2018
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the Helmholtz Association of German Research Centres through a Helmholtz Young Investigators Group grant to T. S. (grant VH-NG-821) and a DAAD short-term scholarship to D. F. for a guest stay at the University of Helsinki. G. K. was supported by the German Science Foundation (DFG project KI 853/11-1). The study was supported by the Finnish Centre of Excellence in Atmospheric Science (272041), ICOS-Finland (281255), CARB-ARC (286190), CarLAC (281196), and Academy professor project (284701) funded by the Academy of Finland and AtMath funded by University of Helsinki. The logistical support provided by the Russian Research station on Samoylov Island and assistance in the field by colleagues from AWI and GFZ are gratefully acknowledged. We thank Christian Wille (GFZ Potsdam), Uwe Spank (TU Dresden), and Wim Thiery (ETH Zürich) for discussions on EC processing and data analysis and Natascha Kljun (Swansea University) for providing support on the FFP. We acknowledge the referees for providing very valuable suggestions for the improvement of the manuscript. The study is a contribution to the Helmholtz Climate Initiative REKLIM. The data basis of this study is available at doi:10.5880/ GFZ.1.4.2018.001 (Franz et al., 2018).

Publisher Copyright:
©2018. American Geophysical Union. All Rights Reserved.

Funding

This work was supported by the Helmholtz Association of German Research Centres through a Helmholtz Young Investigators Group grant to T. S. (grant VH-NG-821) and a DAAD short-term scholarship to D. F. for a guest stay at the University of Helsinki. G. K. was supported by the German Science Foundation (DFG project KI 853/11-1). The study was supported by the Finnish Centre of Excellence in Atmospheric Science (272041), ICOS-Finland (281255), CARB-ARC (286190), CarLAC (281196), and Academy professor project (284701) funded by the Academy of Finland and AtMath funded by University of Helsinki. The logistical support provided by the Russian Research station on Samoylov Island and assistance in the field by colleagues from AWI and GFZ are gratefully acknowledged. We thank Christian Wille (GFZ Potsdam), Uwe Spank (TU Dresden), and Wim Thiery (ETH Zürich) for discussions on EC processing and data analysis and Natascha Kljun (Swansea University) for providing support on the FFP. We acknowledge the referees for providing very valuable suggestions for the improvement of the manuscript. The study is a contribution to the Helmholtz Climate Initiative REKLIM. The data basis of this study is available at doi:10.5880/ GFZ.1.4.2018.001 (Franz et al., 2018).

FundersFunder number
Deutscher Akademischer Austauschdienst
Academy of Finland
Helsingin Yliopisto
CARB-ARC284701, 286190, 281196
Helmholtz AssociationVH-NG-821
ICOS-FINLAND281255
Deutsche ForschungsgemeinschaftKI 853/11-1
Finnish Centre of Excellence in Atmospheric Science272041
Horizon 2020 Framework Programme727890

    Keywords

    • Arctic Lake
    • bulk transfer model
    • eddy covariance
    • energy balance
    • evaporation
    • heat flux

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