Beschreibung: We have generated a digital elevation model (DEM) of an area between the town of Inuvik and Eskimo Lakes near the Mackenzie Delta, Northwest Territories, Canada. We used seven TanDEM-X CoSSC pairs, acquired in summer 2015 during the TanDEM-X Science Phase, and provide here the mean elevation of the seven produced DEMs (GeoTIFF raster). The processing was based on differential SAR interferometry with the use of ArcticDEM as reference. We also provide the standard deviation map of the seven DEMs (GeoTIFF raster) as a quality indicator. The final mean DEM was validated against DGPS measurements. Height values are given in meters in reference to ellipsoid (WGS84). The pixel size of the products is 10 m. The coordinate reference system is UTM Zone 8N WGS84. Detailed description of the TanDEM-X data, interferometric processing, and the validation is given in the attached metadata file.

Beschreibung: The datasets were acquired at the Arctic tundra site of Trail Valley Creek (TVC), Northwest Territories, Canada, which is underlain by continuous permafrost. With the objective to quantify thaw/freeze dynamics of the ground over time, the two study sites (about 50x50 m each) were repeatedly captured in June 2015, August 2015, and August 2016 by terrestrial laser scanning (TLS) and by Real-Time Kinematic (RTK) Global Navigation Satellite System (GNSS) measurements. Additionally, 24 fiberglass poles were anchored deep in the permafrost and, therefore, assumed to be motionless. With these poles, surface displacement was estimated by measuring repeatedly the distance between ground surface and the top of the poles in June 2015, August 2015, July 2016, August 2016 and June 2017. Furthermore, thaw depths were measured around each fiberglass pole. Additionally, one-time GNSS measurements of the ground surface elevation were acquired at a number of points outside of the two study sites.

Beschreibung: This dataset contains topsoil temperature data of 68 sensors, which were installed at the Arctic tundra site of Trail Valley Creek, Northwest Territories, Canada (133.499 °W, 68.742 °N). The sensors were located below six different vegetation types (trees, tall shrubs, riparian tall shrubs, dwarf shrubs, tussocks and lichen tundra) at a depth of 1 to 5 cm, protected from solar radiation. The sensors were placed between 0.22 m to more than 1 km apart from each other. The mean distance between nearest neighbouring sensors was 10.65 m. The sensor network is designed to monitor the effects of changing surface parameters such as vegetation, micro topography and soil moisture on seasonal thawing and freezing processes and on long-term warming of permafrost temperatures. The topsoil temperature was measured using coated iButton temperature loggers (DS1922L) at 0.0625°C resolution and an accuracy of 0.5° C (Maxim Integrated Products, Inc., 2015). The record covers the two periods from 28th of August 2016, 3:00 to 3rd of September 2017, 15:00 and from 4th of September 2017, 12:00 to 22nd of August 2018, 21:00 (UTC, local time + 7 hours) in 3 hourly resolution. Between the two periods, the sensors were removed, read out, and placed at the same positions again. The two periods were analysed by Grünberg et al., 2020, who describe the measurements in more detail.

Beschreibung: The main purpose of this project was to detect subsidence in the field, and to survey instruments and control points for terrestrial laser scanning. On Kurungnakh island, we surveyed transects across and along valleys and repeated measurements of installed subsidence rods. We scanned the surface of several plots with a terrestrial laser (Kurungnakh and Samoylov; data and metadata not provided here) and measured the positions of the scanner and reflectors, respectively. Additionally we surveyed the position of new installations; the igloo laboratory and the 10 m meteorological tower. Near the old research station we collected data along the Lena shoreline. On Sardakh, we surveyed the shoreline of a lake near the 100 m borehole, the borehole and around the borehole.

Beschreibung: Most of the world's permafrost is located in the Arctic, where its frozen organic carbon con-tent makes it a potentially important influence on the global climate system. The Arctic climate appears to be changing more rapidly than the lower latitudes, but observational data density in the region is low. Permafrost thaw and carbon release into the atmosphere is a positive feed-back mechanism that has the potential for climate warming. It is therefore particularly im-portant to understand the links between the energy balance, which can vary rapidly over hour-ly to annual time scales, and permafrost condition, which changes slowly on decadal to cen-tennial timescales. This requires long-term observational data such as that available from the Samoylov research site in northern Siberia, where meteorological parameters, energy balance, and subsurface observations have been recorded since 1998. This paper presents the temporal data set produced between 2002 and 2017, explaining the instrumentation, calibration, pro-cessing and data quality control. Additional data include a high-resolution digital terrain mod-el (DTM) obtained from terrestrial LiDAR laser scanning. Since the data provide observations of temporally variable parameters that influence energy fluxes between permafrost, active lay-er soils, and the atmosphere (such as snow depth and soil moisture content), they are suitable for calibrating and quantifying the dynamics of permafrost as a component in earth system models. The data also include soil properties beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), yielding much-needed information on landscape heterogeneity for use in land surface modeling. For the record from 1998 to 2017, the average mean annual air temperature was -12.3°C, with mean monthly temperature of the warmest month (July) recorded as 9.5°C and for the coldest month (February) -32.7°C. The average annual rainfall was 169mm. The depth of zero annual amplitude niveau is at 20.8m, and has warmed from -9.1°C in 2006 to -7.7°C in 2017.

Beschreibung: This data set includes meteorological, soil, permafrost data obtained from the long term observational site Samoylov, located in the Lena River Delta, Siberia, between 1998 to 2018. The instrumentation, calibration, proccessing and data quality control is explained in Boike et al. (2018). The mean annual air temperature 1998–2017 was calculated as -12.3 °C, but includes years with missing data (1998, 2000–2003, 2005, 2006, 2009, 2010). Including only years with full data records (1999, 2004, 2007-2017), the mean annual air temperature is -11.7 °C. Similarly, the mean monthly temperatures of the warmest month (July) is computed as 9.4 °C (average of years 1999, 2004, 2005, 2007, 2008, 2011-2017) and for the coldest month (February) -31.7 °C (average of months of 1999, 2000, 2004, 2005, 2007, 2008, 2011-2017). The average summer rainfall (June-October) was 145.2 mm (average of years 1999, 2003–2008, 2011-2017). This is a new version of dataset: Boike, Julia; Nitzbon, Jan; Anders, Katharina; Grigoriev, Mikhail N; Bolshiyanov, Dimitry Yu; Langer, Moritz; Lange, Stephan; Bornemann, Niko; Morgenstern, Anne; Schreiber, Peter; Wille, Christian; Chadburn, Sarah; Gouttevin, Isabelle; Kutzbach, Lars (2018): Measurements in soil and air at Samoylov Station (2002-2018). PANGAEA, https://doi.org/10.1594/PANGAEA.891142.

Beschreibung: This dataset contains time lapse pictures for the periode from 2006 to 2018, which shows the land surface in the area around the installed instruments of the related publication and datasets.