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Heat flux and energy balance data of an arctic thermokarst lake

Authors
/persons/resource/danifr

Franz,  Daniela
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Mammarella,  Ivan
External Organizations;

Boike,  Julia
External Organizations;

Kirillin,  Georgiy
External Organizations;

Vesala,  Timo
External Organizations;

Bornemann,  Niko
External Organizations;

/persons/resource/larmanou

Larmanou,  E.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Langer,  Moritz
External Organizations;

/persons/resource/tsachs

Sachs,  T.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource

http://doi.org/10.1029/2017JD027751
(Supplementary material)

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Citation

Franz, D., Mammarella, I., Boike, J., Kirillin, G., Vesala, T., Bornemann, N., Larmanou, E., Langer, M., Sachs, T. (2018): Heat flux and energy balance data of an arctic thermokarst lake.
https://doi.org/10.5880/GFZ.1.4.2018.001


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3243893
Abstract
The dataset comprises three tables: - Data Set 1: Half-hourly measurement dataset (quality controlled and filtered), derived variables and energy balance components (Franz_ds01.csv) - Data Set 2: Half-hourly fluxes and transfer coefficients derived by bulk aerodynamic transfer models (Franz_ds02.csv) - Data Set 3. Daily courses and cumulative sums of energy balance components for the average day per subperiod including measured and modelled H and LE (Franz_ds03.csv)Eddy covariance measurements were conducted from 23 April to 16 August 2014 on a thermokarst lake in the Siberian Lena River Delta, yielding direct measurements of sensible (H) and latent (LE) heat flux on half-hourly basis. Ancillary measurements including meteorological variables and water temperature measurements were gathered during the campaign. We derived bulk aerodynamic transfer coefficients in order to parameterize the heat fluxes and compare this in-situ model with independent heat flux parameterization schemes, which are also based on the common bulk transfer algorithm. We further investigated the components of a simple energy balance including measured and modelled H and LE. The dataset was created within the framework of a publication of the study results in Journal of Geophysical Research - Atmospheres (Lake-atmosphere heat flux dynamics of a thermokarst lake in arctic Siberia, by Franz et al.)