ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • 2020-2024  (10)
  • 2022  (10)
Sammlung
Schlagwörter
Verlag/Herausgeber
Erscheinungszeitraum
Jahr
  • 1
    facet.materialart.
    Unbekannt
    Geochemistry of sediments from Arctic thermokarst lakes and lagoons on the Bykovsky Peninsula, Siberia (2022)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-02-23
    Beschreibung: Abstract
    Beschreibung: In coastal Arctic permafrost regions, thermokarst lagoons represent the transition state from a freshwater lacustrine to a marine environment, and receive little attention regarding their role for greenhouse gas production and release. The geochemical features of a thermokarst lagoon were compared with two thermokarst lakes on the Bykovsky Peninsula in northeastern Siberia. This data set includes pH, major cations and anions, alkalinity, salinity, and dissolved iron (ferric and ferrous) concentrations from porewater of lake and lagoon sediments; the concentration and stable isotopic signature of CH4 in small plug samples from the sediment cores; total carbon (TC), total organic carbon (TOC), total nitrogen (TN), and total sulfur (TS) measured from the bulk sediment; and several biomarker indices (e.g. CPI, Paq) were calculated based on n-alkane concentrations to characterize the origin of organic matter (OM) in the lakes.
    Schlagwort(e): thermokarst lake ; themokast lagoon ; carbon turnover ; geochemistry ; EARTH SCIENCE 〉 LAND SURFACE 〉 FROZEN GROUND 〉 PERMAFROST
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN GFZ
  • 2
    facet.materialart.
    Unbekannt
    Meteorologic data at station Samoylov (2019) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-02-20
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow temperature, liquid precipitation, water level, air temperature, relative humidity, wind speed and direction, atmospheric pressure and radiation fluxes. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Schlagwort(e): AWI_Perma; dataset; DATE/TIME; Humidity, relative; Long-wave downward radiation; Long-wave upward radiation; LTO; meterologic; Net radiation; Permafrost Research; Precipitation; Pressure, atmospheric; Quality flag; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, long-wave downward radiation; Quality flag, long-wave upward radiation; Quality flag, net radiation; Quality flag, precipitation; Quality flag, relative humidity; Quality flag, short-wave downward (GLOBAL) radiation; Quality flag, short-wave upward (REFLEX) radiation; Quality flag, snow height; Quality flag, water level; Quality flag, wind direction; Quality flag, wind speed; Samoylov; Samoylov_WST; Samoylov Island, Lena Delta, Siberia; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Snow height; Temperature, air; Water level; Weather station/meteorological observation; Wind direction; Wind direction, standard deviation; Wind speed; Wind speed, maximum; Wind speed, minimum; WST
    Materialart: Dataset
    Format: text/tab-separated-values, 681552 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 3
    facet.materialart.
    Unbekannt
    Meteorologic data at station Samoylov (2020) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-02-20
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow temperature, liquid precipitation, water level, air temperature, relative humidity, wind speed and direction, atmospheric pressure and radiation fluxes. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Schlagwort(e): AWI_Perma; dataset; DATE/TIME; Humidity, relative; Long-wave downward radiation; Long-wave upward radiation; LTO; meterologic; Net radiation; Permafrost Research; Precipitation; Pressure, atmospheric; Quality flag; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, long-wave downward radiation; Quality flag, long-wave upward radiation; Quality flag, net radiation; Quality flag, precipitation; Quality flag, relative humidity; Quality flag, short-wave downward (GLOBAL) radiation; Quality flag, short-wave upward (REFLEX) radiation; Quality flag, snow height; Quality flag, water level; Quality flag, wind direction; Quality flag, wind speed; Samoylov; Samoylov_WST; Samoylov Island, Lena Delta, Siberia; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Snow height; Temperature, air; Water level; Weather station/meteorological observation; Wind direction; Wind direction, standard deviation; Wind speed; Wind speed, maximum; Wind speed, minimum; WST
    Materialart: Dataset
    Format: text/tab-separated-values, 683241 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 4
    facet.materialart.
    Unbekannt
    Calm data at station Samoylov (2019) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-04-20
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The setup of the active layer monitoring grid (CALM) is explained in Boike et al. (2019). The data provide observations of active layer depth twice per month in summer at 150 points on a regular grid. In addition, the surface type of each point is provided (polygon center, rim high, rim flat, slope, and crack), representing landscape heterogeneity. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset serves as a baseline for future studies.
    Schlagwort(e): AWI_Perma; dataset; LTO; Permafrost Research; Samoylov; Samoylov_WST; Samoylov Island, Lena Delta, Siberia; Weather station/meteorological observation; WST
    Materialart: Dataset
    Format: application/zip, 1.3 kBytes
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 5
    facet.materialart.
    Unbekannt
    Soil data at station Samoylov (2020) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-04-20
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as ground heat flux, active layer and permafrost temperature, soil volumetric water content, relative permittivity, and soil bulk electrical conductivity. Those variables were measured at various depths and beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), representing landscape heterogeneity. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Schlagwort(e): AWI_Perma; dataset; LTO; Permafrost Research; Samoylov; Samoylov_WST; Samoylov Island, Lena Delta, Siberia; Soil; Weather station/meteorological observation; WST
    Materialart: Dataset
    Format: text/plain, 11.3 MBytes
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 6
    facet.materialart.
    Unbekannt
    Soil data at station Samoylov (2019) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-04-20
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as ground heat flux, active layer and permafrost temperature, soil volumetric water content, relative permittivity, and soil bulk electrical conductivity. Those variables were measured at various depths and beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), representing landscape heterogeneity. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Schlagwort(e): AWI_Perma; dataset; LTO; Permafrost Research; Samoylov; Samoylov_WST; Samoylov Island, Lena Delta, Siberia; Soil; Weather station/meteorological observation; WST
    Materialart: Dataset
    Format: application/zip, 3 MBytes
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 7
    facet.materialart.
    Unbekannt
    Calm data at station Samoylov (2020) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-04-20
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The setup of the active layer monitoring grid (CALM) is explained in Boike et al. (2019). The data provide observations of active layer depth twice per month in summer at 150 points on a regular grid. In addition, the surface type of each point is provided (polygon center, rim high, rim flat, slope, and crack), representing landscape heterogeneity. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset serves as a baseline for future studies.
    Schlagwort(e): active layer; AWI_Perma; dataset; LTO; Permafrost Research; Samoylov; Samoylov_WST; Samoylov Island, Lena Delta, Siberia; Weather station/meteorological observation; WST
    Materialart: Dataset
    Format: text/plain, 4.2 kBytes
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 8
    facet.materialart.
    Unbekannt
    Continuous measurements in soil and air at the permafrost long-term observatory at Samoylov Station (2002 et seq) (2022)
    PANGAEA
    In:  Alfred Wegener Institute - Research Unit Potsdam
    Details
    Publikationsdatum: 2024-05-14
    Beschreibung: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The mean monthly temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere. The meteorological observations include snow depth, snow temperature, liquid precipitation, water level, air temperature, relative humidity, wind speed and direction, atmospheric pressure and radiation fluxes. The below ground sensors measure ground heat flux, active layer and permafrost temperature, soil volumetric water content, relative permittivity, and soil bulk electrical conductivity. Those variables were measured at various depths and beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), representing landscape heterogeneity. The data also include observations of active layer depth twice per month in summer at 150 points on a regular grid. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
    Schlagwort(e): active layer; AWI_Perma; Permafrost Research; Soil
    Materialart: Dataset
    Format: application/zip, 9 datasets
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 9
    facet.materialart.
    Unbekannt
    Database of Ice-Rich Yedoma Permafrost Version 2 (IRYP v2) (2022)
    PANGAEA
    Details
    Publikationsdatum: 2024-05-07
    Beschreibung: Ice-rich permafrost in the circum-Arctic and sub-Arctic, such as late Pleistocene Yedoma, are especially prone to degradation due to climate change or human activity. When Yedoma deposits thaw, large amounts of frozen organic matter and biogeochemically relevant elements return into current biogeochemical cycles. Building on previous mapping efforts, the objective of this paper is to compile the first digital pan-Arctic Yedoma map and spatial database of Yedoma coverage. Therefore, we 1) synthesized, analyzed, and digitized geological and stratigraphical maps allowing identification of Yedoma occurrence at all available scales, and 2) compiled field data and expert knowledge for creating Yedoma map confidence classes. We used GIS-techniques to vectorize maps and harmonize site information based on expert knowledge. Hence, here we synthesize data on the circum-Arctic and sub-Arctic distribution and thickness of Yedoma for compiling a preliminary circum-polar Yedoma map. To harmonize the different datasets and to avoid merging artifacts, we applied map edge cleaning while merging data from different database layers. For the digitalization and spatial integration, we used Adobe Photoshop CS6 (Version: 13.0 x64), Adobe Illustrator CS6 (Version 16.0.3 x64), Avenza MAPublisher 9.5.4 (Illustrator Plug-In) and ESRI ArcGIS 10.6.1 for Desktop (Advanced License). Generally, we followed workflow of figure 2 of the related publication (IRYP Version 2, Strauss et al 2021, https://doi.org/10.3389/feart.2021.758360). We included a range of attributes for Yedoma areas based on lithological and stratigraphic information from the source maps and assigned three different confidence levels of the presence of Yedoma (confirmed, likely, or uncertain). Using a spatial buffer of 20 km around mapped Yedoma occurrences, we derived an extent of the Yedoma domain. Our result is a vector-based map of the current pan-Arctic Yedoma domain that covers approximately 2,587,000 km², whereas Yedoma deposits are found within 480,000 km² of this region. We estimate that 35% of the total Yedoma area today is located in the tundra zone, and 65% in the taiga zone. With this Yedoma mapping, we outlined the substantial spatial extent of late Pleistocene Yedoma deposits and created a unique pan-Arctic dataset including confidence estimates.
    Schlagwort(e): Alaska North Slope; Aldan River outcrop Mamontova Gora; Allaikha_Yedoma; Arctic Ocean; Area/locality; AWI_Perma; Ayon; base of ice complex; Batagai_2014; Batagai_Kunitsky_2010; Batagay, Yakutia; Beaver_Creek; Belkovsky; Binary Object; BLOSSOM; Blossom Cape; Bolshoy_Lyakhovsky_Island_1999; Bolshoy Lyakhovsky Island, NE Siberia; Buor_Khaya_2010; Buor Khaya; Bykovsky_Peninsula; Cape_Anisii_Kotelnii_Island_2002; Cape_Maly_Chukochy; Cape Mamontov Klyk, Laptev Sea; Central_Yakutia; Central Yakutia; Chukotka, Russia; climate feedbacks; Coast_of_the_East-Siberian_Sea; Col-3_Colville_River_2009; Col-5_Colville_River_2009a; Col-5_Colville_River_2009b; Comment; CRREL; DATE/TIME; Dresvyanyi_Island; Duvanny_Yar; Duvanny_Yar_2008; Duvanny_Yar_2009; Duvannyi_Yar; Duvanny Yar, Yakutia; East Siberian Sea; Elgene_Kyuele_2010a; Elgene_Kyuele_2010b; Event label; File format; File name; File type; Geological profile sampling; GEOPRO; Great_Khomus_River; Greenhouse gas source; Identification; Investigator; IPA_Yedoma_Action_Group; Itkillik_River; Itkillik_River_2012a; Itkillik_River_2012b; Itkillik River Outcrop, Alaskan North Slope; Khaptashin_Yar; Khardang; Kitluk_River_Seward_Peninsula_2010; Klondike_area; Kolyma Lowland, NE Siberia; Konstantinovskoye; Kotelnii Island, NE Siberia; Kurugnakh_2002; Kurugnakh_2008; Kurungnakh; Kurungnakh_Island_Lena-Delta_2005; Kurungnakh Island, Lena Delta, Siberia; Kychchyma; KYT; Kytalyk; Kytalyk, Indigirka lowlands, Siberia; Lake El'gene Kyuele, central Siberian Plateau; Late Pleistocene; LATITUDE; Lena-Amga_Rivers; Lena-Anabar Lowland, NE Siberia; Lena Delta, NE Siberia; Lena Delta, Siberia, Russia; Lesser_Chaun_Strait; LONGITUDE; Maly_Lyakhovsky_Island; Mamontov_Klyk_2011; Mamontova_Gora_2001; Mamontovy_Gora_Aldan_River_2001; Mamontovy_Khayata; Mamontovy_Klyk_2003; Molotlovskiy_Kamen; MULT; Multiple investigations; Muostakh_2012; Muostakh Island, Laptev Sea; Mys_Chukochi_2009a; Mys_Chukochi_2009b; N_Yakutia; Nagym; Nagym_Lena; Northern_Bykovsky_Peninsula_2014; Northern_Seward_Peninsula; NW Chukotka; Old_Allaikha; Oyagoss_Yar_2002; Palisades; Permafrost; Permafrost Research; PETA-CARB; Plakhino; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Rauchua_river_bank_2011; Rauhua_River; Russkoe; Sakha Republic, Russia; Seward Peninsula, Alaska; Sobo_Sise_2014; Sobo_Sise_Lena-Delta_2014; Sobo-Sise_Cliff; Sobo Sise Island, Lena Delta; SSC; Stolboboy_Island_2002; Stolbovoy Island, NE Siberia; Syrdakh_1976; Syrdakh, Central Yakutia; Tabaga_2013a; Tabaga_2013b; Tabaga, Central Yakutia; Tanda; thermokarst; The Yedoma Region: A Synthesis of Circum-Arctic Distribution and Thickness; Tube_Dispenser_Lake_Cherskii_2007; Tyungyulyu_alas; Ust_Rauchua_coast_2014; Uste-Omolon_Yar; Vankina_River_mouth; Vault_Creek_Tunnel; Vilyui_River; Yana-Indigirka Lowland, NE Siberia; Yedoma; Yedoma_IRYP
    Materialart: Dataset
    Format: text/tab-separated-values, 1124 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 10
    facet.materialart.
    Unbekannt
    Drivers, dynamics and impacts of changing Arctic coasts (2022)
    In:  EPIC3Nature Reviews Earth and Environment, 3, pp. 39-54
    Details
    Publikationsdatum: 2024-04-19
    Beschreibung: Arctic coasts are vulnerable to the effects of climate change, including rising sea levels and the loss of permafrost, sea ice and glaciers. Assessing the influence of anthropogenic warming on Arctic coastal dynamics, however, is challenged by the limited availability of observational, oceanographic and environmental data. Yet, with the majority of permafrost coasts being erosive, coupled with projected intensification of erosion and flooding, understanding these changes is critical. In this Review, we describe the morphological diversity of Arctic coasts, discuss important drivers of coastal change, explain the specific sensitivity of Arctic coasts to climate change and provide an overview of pan- Arctic shoreline change and its multifaceted impacts. Arctic coastal changes impact the human environment by threatening coastal settlements, infrastructure, cultural sites and archaeological remains. Changing sediment fluxes also impact the natural environment through carbon, nutrient and pollutant release on a magnitude that remains difficult to predict. Increasing transdisciplinary and interdisciplinary collaboration efforts will build the foundation for identifying sustainable solutions and adaptation strategies to reduce future risks for those living on, working at and visiting the rapidly changing Arctic coast.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev , info:eu-repo/semantics/article
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    ARTIKEL (OA)
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...