Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2487-2022
https://doi.org/10.5194/essd-14-2487-2022
Data description paper
 | 
01 Jun 2022
Data description paper |  | 01 Jun 2022

A decade of glaciological and meteorological observations in the Arctic (Werenskioldbreen, Svalbard)

Dariusz Ignatiuk, Małgorzata Błaszczyk, Tomasz Budzik, Mariusz Grabiec, Jacek A. Jania, Marta Kondracka, Michał Laska, Łukasz Małarzewski, and Łukasz Stachnik

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Revised manuscript accepted for ESSD
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Cited articles

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Błaszczyk, M., Jania, J. A., and Kolondra, L.: Fluctuations of tidewater glaciers in Hornsund Fjord (Southern Svalbard) since the beginning of the 20th century, Polish Polar Res., 34, 327–352, https://doi.org/10.2478/popore-2013-0024, 2013. 
Błaszczyk, M., Ignatiuk, D., Grabiec, M., Kolondra, L., Laska, M., Decaux, L., Jania, J., Berthier, E., Luks, B., Barzycka, B., and Czapla, M.: Quality assessment and glaciological applications of digital elevation models derived from space-borne and aerial images over two tidewater glaciers of Southern Spitsbergen, Remote Sens., 11, 1121, https://doi.org/10.3390/RS11091121, 2019. 
Błaszczyk, M., Jania, J. A., Ciepły, M., Grabiec, M., Ignatiuk, D., Kolondra, L., Kruss, A., Luks, B., Moskalik, M., Pastusiak, T., Strzelewicz, A., Walczowski, W., and Wawrzyniak, T.: Factors controlling terminus position of Hansbreen, a tidewater glacier in Svalbard, J. Geophys. Res.-Earth Surf., 126, e2020JF005763, https://doi.org/10.1029/2020JF005763, 2021. 
Box, J. E., Colgan, W. T., Wouters, B., Burgess, D. O., O'Neel, S., Thomson, L. I., and Mernild, S. H.: Global sea-level contribution from Arctic land ice: 1971 to 2017, Environ. Res. Lett., 13, 1–11, https://doi.org/10.1088/1748-9326/AAF2ED, 2019. 
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This paper presents details of the glaciological and meteorological dataset (2009–2020) from the Werenskioldbreen (Svalbard). These high-quality and long-term observational data already have been used to assess hydrological models and glaciological studies. The objective of releasing these data is to improve their usage for calibration and validation of the remote sensing products and models, as well as to increase data reuse.
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