TY - JOUR
T1 - A 20-year record (1998–2017) of permafrost, active layer and meteorological conditions at a high Arctic permafrost research site (Bayelva, Spitsbergen)
AU - Boike, Julia
AU - Juszak, Inge
AU - Lange, Stephan
AU - Chadburn, Sarah
AU - Burke, Eleanor
AU - Paul Overduin, Pier
AU - Roth, Kurt
AU - Ippisch, Olaf
AU - Bornemann, Niko
AU - Stern, Lielle
AU - Gouttevin, Isabelle
AU - Hauber, Ernst
AU - Westermann, Sebastian
N1 - Funding Information:
Acknowledgements. The logistical support provided by the AWIPEV research base at Ny-Ålesund is gratefully acknowledged. Field support, including data collection, was also provided by Konstanze Piel, Christian Wille, Steffen Frey, Conrad Kopsch, Günther Stoof and Peter Schreiber. We appreciate the support of Klaus-Dieter Matz and Frank Scholten for the preparation of the GeoTIFF versions of the HRSC-AX data products. The authors acknowledge the financial support provided through the European Union’s FP7-ENV PAGE21 project under contract number GA282700. We thank the two anonymous reviewers whose comments helped to improve this paper.
Publisher Copyright:
© Author(s) 2018.
PY - 2018/3/5
Y1 - 2018/3/5
N2 - Most permafrost is located in the Arctic, where frozen organic carbon makes it an important component of the global climate system. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low. Permafrost thaw and carbon release to the atmosphere are a positive feedback mechanism that can exacerbate global warming. This positive feedback functions via changing land-atmosphere energy and mass exchanges. There is thus a great need to understand links between the energy balance, which can vary rapidly over hourly to annual timescales, and permafrost, which changes slowly over long time periods. This understanding thus mandates long-term observational data sets. Such a data set is available from the Bayelva site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. Additional data include a high-resolution digital elevation model (DEM) that can be used together with the snow physical information for snowpack modeling and a panchromatic image. This paper presents the data set produced so far, explains instrumentation, calibration, processing and data quality control, as well as the sources for various resulting data sets. The resulting data set is unique in the Arctic and serves as a baseline for future studies. The mean permafrost temperature is -2:8 °, with a zero-amplitude depth at 5.5m (2009-2017). Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in earth system models. The presented data are available in the Supplement for this paper (time series) and through the PANGAEA and Zenodo data portals: time series (https://doi.org/10.1594/PANGAEA.880120, https://zenodo.org/record/ 1139714) and HRSC-AX data products (https://doi.org/10.1594/PANGAEA.884730, https://zenodo.org/record/ 1145373).
AB - Most permafrost is located in the Arctic, where frozen organic carbon makes it an important component of the global climate system. Despite the fact that the Arctic climate changes more rapidly than the rest of the globe, observational data density in the region is low. Permafrost thaw and carbon release to the atmosphere are a positive feedback mechanism that can exacerbate global warming. This positive feedback functions via changing land-atmosphere energy and mass exchanges. There is thus a great need to understand links between the energy balance, which can vary rapidly over hourly to annual timescales, and permafrost, which changes slowly over long time periods. This understanding thus mandates long-term observational data sets. Such a data set is available from the Bayelva site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. Additional data include a high-resolution digital elevation model (DEM) that can be used together with the snow physical information for snowpack modeling and a panchromatic image. This paper presents the data set produced so far, explains instrumentation, calibration, processing and data quality control, as well as the sources for various resulting data sets. The resulting data set is unique in the Arctic and serves as a baseline for future studies. The mean permafrost temperature is -2:8 °, with a zero-amplitude depth at 5.5m (2009-2017). Since the data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth and soil moisture content, they are suitable for use in integrating, calibrating and testing permafrost as a component in earth system models. The presented data are available in the Supplement for this paper (time series) and through the PANGAEA and Zenodo data portals: time series (https://doi.org/10.1594/PANGAEA.880120, https://zenodo.org/record/ 1139714) and HRSC-AX data products (https://doi.org/10.1594/PANGAEA.884730, https://zenodo.org/record/ 1145373).
UR - http://www.scopus.com/inward/record.url?scp=85042907229&partnerID=8YFLogxK
U2 - 10.5194/essd-10-355-2018
DO - 10.5194/essd-10-355-2018
M3 - Article
AN - SCOPUS:85042907229
SN - 1866-3508
VL - 10
SP - 355
EP - 390
JO - Earth System Science Data
JF - Earth System Science Data
IS - 1
ER -
