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  • 1
    Online Resource
    Online Resource
    Airborne measurements of methane fluxes in Alaskan and Canadian tundra with the research aircraft “Polar 5” (2014)
    Bremerhaven : Alfred-Wegener-Inst., Helmholtz-Zentrum für Polar- und Meeresforschung
    Details Availability
    Type of Medium: Online Resource
    Pages: Online-Ressource (76 S.) , Ill., graph. Darst., Kt.
    Series Statement: Berichte zur Polar- und Meeresforschung 673
    URL: http://hdl.handle.net/10013/epic.43357.d001
    Language: English
    Note: Zsfassung in dt. und engl. Sprache
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    Link to Library Catalog
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  • 2
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    Water isotope values in time series samples (March - October 2020) collected at buoys deployed in northeastern German lake systems (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-18
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples taken at buoys temporarily installed in deep parts of the lake. Samples were taken monthly to bimonthly from March to October 2020. A Limnos water sampler was used to obtain samples from 1 m below water surface. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. Water temperatures were measured in similar depths with an Aqua TROLL 600 multiparameter sonde (In-Situ, Fort Collins, CO, USA). The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: Breiter_Luzin_Buoy; Breiter Luzin, Germany; Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; Comment; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; CT-probe Aqua TROLL 100; Dahme; DATE/TIME; Depth, bottom/max; DEPTH, water; Ellbogensee_Buoy; Ellbogensee, Germany; Event label; Feldberger_Haussee_Buoy; Feldberger Haussee, Germany; GEPRIS_418096356; Gr_Paelitzsee_north_Buoy; Großer_Labussee_Buoy; Großer_Lychensee_Buoy; Großer_Priepertsee_Buoy; Großer Labussee, Germany; Großer Lychensee, Germany; Großer Priepertsee, Germany; Groß Pälitzsee (north), Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Kl_Paelitzsee_east_Buoy; Klein Pälitzsee (east), Germany; Labussee_Buoy; Labussee, Germany; LIMNOS water sampler; LIMNOSWS; Müritz; Röblinsee, Germany; Roeblinsee_Buoy; Schmaler_Luzin_Buoy; Schmaler Luzin, Germany; Spree; Stechlinsee_Buoy; Stechlinsee, Germany; Stolpsee_Buoy; Stolpsee, Germany; Temperature, water; Ucker; Useriner_See_Buoy; Useriner See, Germany; Vilzsee_Buoy; Vilzsee, Germany; Woblitzsee_Buoy; Woblitzsee, Germany; Zierker_See_Buoy; Zierker See, Germany; Ziernsee_Buoy; Ziernsee, Germany; Zotzensee_Buoy; Zotzensee, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 781 data points
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    DATA PANGAEA
  • 3
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    Water isotope values from a spatial campaign conducted in four northeastern German lakes in September 2020 (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-18
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples taken at multiple spatially distributed spots in four selected lakes. A Limnos water sampler was used to obtain samples from 1 m below water surface on 29th and 30th September 2020. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer.
    Keywords: Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Dahme; Depth, bottom/max; DEPTH, water; Depth of Secchi Disk; Ellbogensee_1; Ellbogensee_2; Ellbogensee_3; Ellbogensee_4; Ellbogensee_5; Ellbogensee_6; Ellbogensee, Germany; Event label; GEPRIS_418096356; Großer_Priepertsee_1; Großer_Priepertsee_2; Großer_Priepertsee_3; Großer_Priepertsee_4; Großer_Priepertsee_5; Großer_Priepertsee_6; Großer_Priepertsee_7; Großer Priepertsee, Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Location; Müritz; Röblinsee, Germany; Roeblinsee_1; Roeblinsee_2; Roeblinsee_3; Roeblinsee_4; Roeblinsee_5; Roeblinsee_6; Spree; Ucker; Zierker_See_1; Zierker_See_2; Zierker_See_3; Zierker_See_4; Zierker_See_5; Zierker_See_6; Zierker See, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 171 data points
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    DATA PANGAEA
  • 4
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    Water isotope values in shore samples collected in March and July 2020 from northeastern German lake systems (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-22
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples collected from lake shores. Samples were taken in March and July 2020 with a pipette from 40-60 cm depth below water surface and directly transferred into a measurement vial. Stable isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: Breiter_Luzin; Breiter Luzin, Germany; Canower_See; Canower See, Germany; Cavity ring-down spectroscopy (CRDS), L21301i, Picarro Inc.; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Daemeritzsee; Dahme; Dahme, Germany; Dämeritzsee, Germany; DATE/TIME; DEPTH, water; Event label; Feldberger_Haussee; Feldberger Haussee, Germany; GEPRIS_418096356; Große_Krampe; Große Krampe, Germany; Großer_Priepertsee; Großer_See-Fürstenwerder; Großer Priepertsee, Germany; Großer See, Fürstenwerder, Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Kleiner Müggelsee, Germany; Koelpinsee; Kölpinsee , Germany; Krewitzsee; Krewitzsee, Germany; Labussee; Labussee, Germany; Latitude of event; Longitude of event; Mellensee, Funkenhagen, Germany; Mellensee-Funkenhagen; Mueggelsee_a; Mueggelsee_b; Mueggelsee_inflow; Mueggelsee_outflow; Mueritz; Müggelsee, Germany; Müritz; Müritz, Germany; Oberrucker_See_Gr._Lanke; Oberrucker See (Gr. Lanke), Germany; Peetschsee; Peetschsee, Germany; Pipette; Raetzsee; Rätzsee, Germany; Schmaler_Luzin_a; Schmaler_Luzin_b; Schmaler Luzin, Germany; Schwarzer_See-Mirow; Schwarzer See, Mirow, Germany; Spree; Spree_a; Spree_b; Spree, Germany; Suckower_Haussee; Suckower Haussee, Germany; Ucker; Vilzsee; Vilzsee, Germany; Wrechener_See; Wrechener See, Germany; Zethnersee; Zethnersee, Germany; Zotzensee_a; Zotzensee_b; Zotzensee, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Water isotope values from northeastern German lake systems 2020 et seq (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-23
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. The dataset is derived from water samples taken at a) lake shores (sampled in March and July 2020); b) buoys temporarily installed in deep parts of the lake (sampled monthly from March to October 2020); c) multiple spatially distributed spots in four selected lakes (in September 2020); d) the outflow of Müggelsee (sampled biweekly from March 2020 to January 2021). At shores, water was sampled with a pipette from 40-60 cm below water surface and directly transferred into a measurement vial, while at buoys a Limnos water sampler was used to obtain samples from 1 m below surface. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Dahme; GEPRIS_418096356; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Müritz; Spree; Ucker; δ18O; δ2H
    Type: Dataset
    Format: application/zip, 6 datasets
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    DATA PANGAEA
  • 6
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    Strong geologic methane emissions from discontinuous terrestrial permafrost in the Mackenzie Delta, Canada (2017)
    Nature Publishing Group
    In:  EPIC3Scientific Reports, Nature Publishing Group, 7(5828)
    Details
    Publication Date: 2017-10-10
    Description: Arctic permafrost caps vast amounts of old, geologic methane (CH4) in subsurface reservoirs. Thawing permafrost opens pathways for this CH4 to migrate to the surface. However, the occurrence of geologic emissions and their contribution to the CH4 budget in addition to recent, biogenic CH4 is uncertain. Here we present a high-resolution (100 m × 100 m) regional (10,000 km²) CH4 flux map of the Mackenzie Delta, Canada, based on airborne CH4 flux data from July 2012 and 2013. We identify strong, likely geologic emissions solely where the permafrost is discontinuous. These peaks are 13 times larger than typical biogenic emissions. Whereas microbial CH4 production largely depends on recent air and soil temperature, geologic CH4 was produced over millions of years and can be released year-round provided open pathways exist. Therefore, even though they only occur on about 1% of the area, geologic hotspots contribute 17% to the annual CH4 emission estimate of our study area. We suggest that this share may increase if ongoing permafrost thaw opens new pathways. We conclude that, due to permafrost thaw, hydrocarbon-rich areas, prevalent in the Arctic, may see increased emission of geologic CH4 in the future, in addition to enhanced microbial CH4 production.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
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    Comparison of Lyman-alpha and LI-COR infrared hygrometers for airborne measurement of turbulent fluctuations of water vapour (2018)
    Published by Copernicus Publications on behalf of the European Geosciences Union.
    In:  EPIC3Atmos. Meas. Tech., Published by Copernicus Publications on behalf of the European Geosciences Union., 11, pp. 2523-2536
    Details
    Publication Date: 2018-08-08
    Description: Abstract. To investigate if the LI-COR humidity sensor can be used as a replacement of the Lyman-alpha sensor for airborne applications, the measurement data of the Lyman- alpha and several LI-COR sensors are analysed in direct in- tercomparison flights on different airborne platforms. One vi- bration isolated closed-path and two non-isolated open-path LI-COR sensors were installed on a Dornier 128 twin engine turbo-prop aircraft. The closed-path sensor provided abso- lute values and fluctuations of the water vapour mixing ratio in good agreement with the Lyman-alpha. The signals of the two open-path sensors showed considerable high-frequency noise, and the absolute value of the mixing ratio was ob- served to drift with time in this vibrational environment. On the helicopter-towed sensor system Helipod, with very low vibration levels, the open-path LI-COR sensor agreed very well with the Lyman-alpha sensor over the entire fre- quency range up to 3 Hz. The results show that the LI-COR sensors are well suited for airborne measurements of humidity fluctuations, pro- vided that a vibrationless environment is given, and this turns out to be more important than close sensor spacing.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 8
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    Towards understanding the contribution of permafrost waterbodies to methane emissions on a regional scale using aircraft measurements and remote sensing data (2018)
    Publisher Laboratoire EDYTEM - UMR5204 Université Savoie Mont Blanc Bâtiment « Pôle Montagne » 5 bd de la mer Caspienne F-73376 Le Bourget du Lac cedex
    In:  EPIC35th European Conference on Permafrost, Chamonix, France, 2018-06-2018-07Chamonix, France, Publisher Laboratoire EDYTEM - UMR5204 Université Savoie Mont Blanc Bâtiment « Pôle Montagne » 5 bd de la mer Caspienne F-73376 Le Bourget du Lac cedex
    Details
    Publication Date: 2018-08-08
    Description: Waterbodies in the arctic permafrost zone are considered a major source of the greenhouse gas methane (CH4). Spatial extrapolation of these CH4 fluxes to a region or the circum-Arctic, however, are still associated with large uncertainties. Here, we address this issue by using a combination of airborne CH 4 flux measurements and waterbody mapping based on TerraSAR-X and Sentinel-1 data across two study areas (1000 km2) in the Mackenzie Delta, Canada. Our results indicate that permafrost waterbodies, even if they seem to be strong emitters on an individual basis, do not necessarily translate into significant CH 4 emission hot spots on a regional scale. Our results show inconsistent patterns in the correlations between waterbody types and the CH 4 flux in the two study areas and across different spatial resolutions. Technical advances enabling the determination of the CH4 flux of individual waterbodies across a region provide a prospective direction to improve our understanding.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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  • 9
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    Upscaling surface energy fluxes over the North Slope of Alaska using airborne eddy-covariance measurements and environmental response functions (2018)
    Publisher Laboratoire EDYTEM - UMR5204 Université Savoie Mont Blanc Bâtiment « Pôle Montagne » 5 bd de la mer Caspienne F-73376 Le Bourget du Lac cedex
    In:  EPIC35​th​ European Conference on Permafrost, Chamonix, France, 2018-06-2018-07Chamonix, France, Publisher Laboratoire EDYTEM - UMR5204 Université Savoie Mont Blanc Bâtiment « Pôle Montagne » 5 bd de la mer Caspienne F-73376 Le Bourget du Lac cedex
    Details
    Publication Date: 2018-08-08
    Description: The goal of this study is to scale aircraft measured fluxes of sensible and latent heat to the North Slope of Alaska and develop high resolution flux maps. For this purpose we analyzed an eddy-covariance data set obtained by the research aircraft POLAR 5 as part of the AIRMETH-2012 campaign, and investigated the spatial patterning of energy fluxes. Environmental response functions between flux observations and corresponding biophysical and meteorological drivers were estimated using a combination of time-frequency decomposition, dispersion modeling and machine learning. The extracted relationships are then used to scale observational data across heterogeneous Arctic landscapes, thus improving the spatial coverage and representativeness of the energy fluxes. Maps of projected energy fluxes are used to asses energy partitioning in northern ecosystems and to determine dominant energy exchange processes of permafrost area.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 10
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    Airborne LiDAR and stereo-photogrammetric characterization of permafrost landscapes and thaw subsidence (2019)
    In:  EPIC34th Helmholtz Data Science Symposium, Helmholtz Zentrum Geesthacht, Germany, 2019-06-20-2019-06-21
    Details
    Publication Date: 2019-09-10
    Description: Rapid climate change in the northern high latitudes has a strong impact on permafrost stability, apparent as coastal erosion, subsidence, or lake dynamics with potentially severe consequences for local communities and ecology. In a rapidly warming Arctic, the monitoring of these processes is essential to understand and predict permafrost dynamics over the upcoming decades. These landscape dynamics are highly diverse, localized, but widely distributed and require datasets with very high spatial resolution, which are barely achieved by satellite data alone. Repeat observations over several years allow for unprecedented insights into highly critical landscape dynamics and the potential integration with and validation of more coarse resolution satellite data. AWI’s research aircraft (Polar-5 and Polar-6) were equipped with airborne LiDAR (full-waveform, multi-echo) as well with experimental modular sensors such as the DLR-developed multi-spectral optical Modular Airborne Camera System (MACS) with a spatial resolution of few cm, stereo capabilities and a very broad radiometric range. The incoming data stream of acquired laser return point cloud data as well as hundreds of thousands of high-resolution images for individual campaigns poses new challenges of handling and processing large data volumes. Here we present an overview about past and upcoming flight campaigns in Alaska and northwestern Canada. Furthermore, we will show applications of the acquired datasets, such as assessments of subsidence, coastal erosion or infrastructure development.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev , info:eu-repo/semantics/conferenceObject
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