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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    Keywords: Geochemistry. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (320 pages)
    Edition: 1st ed.
    ISBN: 9783319256436
    DDC: 577.144
    Language: English
    Note: Intro -- Foreword -- Contents -- 1 Radiocarbon and the Global Carbon Cycle -- 1.1 Introduction -- 1.2 Carbon Reservoirs in the Earth System -- 1.2.1 Pre-1850 Pools and Fluxes -- 1.2.2 Post-1850: The Anthropocene -- 1.2.3 Carbon Pools During Glacial Times -- 1.3 Radiocarbon Distribution Across Reservoirs -- 1.4 Scope of This Book -- References -- 2 Radiocarbon Dating: Development of a Nobel Method -- 2.1 Discovery of Radiocarbon -- 2.2 "Wild Bill" Libby at Berkeley: 1927-1941 -- 2.3 Libby at the Manhattan Project: 1941-1946 -- 2.4 Libby at Chicago: 1946-1954 -- 2.5 The Critical Experiments: 1946-1948 -- 2.6 Dating Unknown-Age Samples: 1949-1954 -- 2.7 Radiocarbon Dating Comes of Age: 1954-1960 -- 2.8 Nobel Prize: 1960 -- 2.9 Afterward -- Acknowledgements -- References -- 3 Radiocarbon Nomenclature, Theory, Models, and Interpretation: Measuring Age, Determining Cycling Rates, and Tracing Source Pools -- 3.1 Introduction -- 3.2 Carbon Isotope Basics: General Nomenclature and Isotope Fractionation -- 3.2.1 Mass-Dependent Fractionation of Isotopes -- 3.2.2 Equilibrium Exchange Reactions -- 3.2.3 Kinetic Fractionation -- 3.2.4 Isotopes in the Global Carbon Cycle -- 3.3 Reporting Radiocarbon Data: Radiocarbon Nomenclature and Calculations -- 3.3.1 Raw Data: Ratios of Unknowns to Standards -- 3.3.2 Corrections for Mass-Dependent Isotope Fractionation -- 3.3.3 Radiocarbon Age -- 3.3.4 Expressing the Absolute Amount of Radiocarbon -- 3.3.5 Known-Age Corrections and Δ: The Origin of the Calibration Curve -- 3.4 Interpreting Radiocarbon Data -- 3.4.1 Calibrated Ages -- 3.4.2 Single- and Multiple-Pool Turnover Models -- 3.4.2.1 Single Homogeneous Reservoir: Pre-1950 -- 3.4.2.2 Homogeneous Reservoir: Incorporation of Bomb Radiocarbon Since 1950 -- 3.4.2.3 Mean Age and Turnover Time -- 3.4.2.4 Multiple Discrete Pools. , 3.4.3 Isotope Mixing Models: Source Partitioning -- 3.4.3.1 Visualizing Mixing Model Data -- 3.4.3.2 Models with Unique Solutions -- 3.4.3.3 Models Without Unique Solutions -- 3.5 Conclusions and Future Directions -- References -- 4 Radiocarbon in the Atmosphere -- 4.1 Introduction -- 4.2 Carbon Dioxide and Radiocarbon in the Atmosphere: Overview -- 4.2.1 The Global Carbon Dioxide and Radiocarbon Budgets -- 4.2.2 Atmospheric Transport Modeling of Radiocarbon -- 4.3 Preindustrial Distribution of Radiocarbon -- 4.3.1 Mean Isotope Ratio -- 4.3.2 Spatial Gradients -- 4.4 The "Suess" Period: 1890-1945 -- 4.5 The "Bomb" Period: 1945-1985 -- 4.5.1 Global Bomb Radiocarbon Budget -- 4.5.2 Atmospheric Radiocarbon Seasonality During the Bomb Period -- 4.5.3 Spatial Gradients -- 4.5.4 Evolving Isofluxes During the Bomb Period -- 4.6 The Post-bomb Period: 1985-Present -- 4.6.1 Fossil Fuel Carbon Dioxide -- 4.6.2 Nuclear Industry -- 4.6.3 Terrestrial Carbon -- 4.6.4 Oceans -- 4.6.5 Stratosphere -- 4.6.6 Long-Term Trend -- 4.6.7 Interhemispheric Gradient -- 4.6.8 Seasonal Cycles -- 4.7 The Future Trajectory of Atmospheric Radiocarbon -- 4.8 Atmospheric Monitoring of Fossil Fuel Carbon Dioxide Emissions -- 4.8.1 Determination of Fossil Fuel Mole Fraction from Radiocarbon Observations -- 4.8.2 Large-Scale Spatial Fossil Fuel Carbon Dioxide Variability and Plant Material Proxies -- 4.8.3 Quantification of Fossil Fuel Carbon Dioxide Emissions at the Urban and Regional Scale -- 4.8.4 Other Applications of Fossil Fuel Carbon Dioxide Measurements -- 4.8.5 Volcanic Carbon Dioxide Emissions -- 4.9 Atmospheric Radiocarbon in Other Compounds -- 4.9.1 14CO as a Detector for Hydroxyl Radicals -- 4.9.2 Fossil Methane Source Identification -- 4.9.3 Aerosol Source Attribution -- 4.10 Conclusions and Future Directions. , 4.10.1 Improved Radiocarbon Measurement Techniques and Comparability -- 4.10.2 Developing Radiocarbon Observations into Policy-Relevant Fossil Fuel Carbon Dioxide Emission Estimates -- 4.10.3 Detection of Climate-Related Changes in Air-Land or Air-Ocean Carbon Exchanges -- References -- 5 Radiocarbon in the Oceans -- 5.1 Introduction -- 5.2 Dissolved Inorganic Carbon Cycling in the World Ocean -- 5.2.1 Radiocarbon Age of the Surface Ocean -- 5.2.2 Bomb Radiocarbon in the Surface Ocean -- 5.2.3 Radiocarbon in the Deep Ocean -- 5.2.4 Climate Change and Radiocarbon in Corals -- 5.2.5 Daily Variability of Surface Radiocarbon -- 5.3 Organic Carbon Cycling in the Coastal and Open Ocean -- 5.3.1 Dissolved Organic Carbon -- 5.3.2 Particulate Organic Carbon -- 5.3.3 Sedimentary Organic Carbon -- 5.3.3.1 Compound-Specific Radiocarbon Studies -- 5.3.3.2 Terrestrial Input by Rivers -- 5.3.3.3 Resuspension, Lateral Transport, and Redeposition -- 5.3.3.4 Porewater Dissolved Organic Carbon -- 5.3.4 Black Carbon -- 5.3.4.1 Sources of Black Carbon to the Ocean: Aerosols and Rivers -- 5.3.4.2 Black Carbon in Sedimentary Organic Carbon -- 5.3.4.3 Black Carbon in Dissolved and Particulate Organic Carbon -- 5.4 Conclusions and Future Directions -- References -- 6 Radiocarbon in Terrestrial Systems -- 6.1 Introduction -- 6.2 Ages of Living Things in an Ecological Context -- 6.2.1 Age of Trees -- 6.2.2 Age of Roots -- 6.2.3 Consumer Organisms: Heterotrophs -- 6.2.4 Plant Mortality, Moss, and Peat Accumulation -- 6.3 Soil Organic Matter Dynamics -- 6.3.1 Heterogeneity of Soil Organic Matter Pools -- 6.3.2 Modeling Soil Carbon Residence Times with Natural Abundance 14C -- 6.3.3 Modeling Soil Carbon Residence Times with Bomb 14C: Steady-State Systems -- 6.3.4 Modeling Soil C Residence Times with Bomb 14C: Non-Steady-State Systems. , 6.4 Respiration and Other Ecosystem Carbon Losses -- 6.4.1 Radiocarbon of Respiration Sources -- 6.4.2 Partitioning Respiration In Situ -- 6.4.3 Partitioning Heterotrophic Respiration -- 6.4.4 Other Ecosystem C Losses -- 6.5 Low-Level Radiocarbon Labels -- 6.5.1 Advantages of Enriched Low-Level 14C Labels -- 6.5.2 Pulse-Chase 14C Labeling Studies -- 6.5.3 Enriched Isotope Background Study (EBIS) -- 6.5.4 Free-Air Carbon Dioxide Enrichment Labels -- 6.5.5 Additional 14C Label Application Techniques -- 6.5.6 Compound-Specific 14C Labeling -- 6.6 Conclusions and Future Directions -- References -- 7 Paleoclimatology -- 7.1 Introduction -- 7.2 Paleoclimate-The Basics -- 7.2.1 Proxies of Past Climate Change -- 7.2.2 Meridional Overturning Circulation -- 7.2.3 Radiocarbon as a Tracer of Ocean Mixing -- 7.3 Case Study: The Old Water Mystery During the Last Glacial-Deglacial Transition -- 7.3.1 The 190 ‰ Drop in Atmospheric Radiocarbon -- 7.3.2 Source of Old Carbon Dioxide Emissions -- 7.3.3 Sedimentary Evidence of the Old CO2 Reservoir -- 7.4 Calibration of Radiocarbon During the Last 50,000 Years -- 7.4.1 Formation of Radiocarbon -- 7.4.2 Records of the Geomagnetic Field -- 7.4.3 Records of Solar Variations -- 7.4.4 Calibration Records: Tree Rings -- 7.4.5 Radiocarbon Tree Ring Data: What Are the Limitations? -- 7.4.6 Calibration Beyond Tree Rings-Varved Lake Sediments -- 7.4.7 Other Atmospheric Calibration Records-Speleothems -- 7.4.8 Marine Calibration Records -- 7.4.9 Uranium-Thorium-Dated Corals -- 7.4.10 Marine Calibration Records-Sedimentary Records -- 7.5 Calibration Computer Codes and Their Datasets -- 7.6 Conclusions and Future Directions -- References -- 8 Accelerator Mass Spectrometry of Radiocarbon -- 8.1 Introduction -- 8.2 Ion Source and Injector -- 8.3 Accelerator and Stripper -- 8.4 Detector and High-energy Beam Line. , 8.5 From Radiocarbon Counts to Radiocarbon Isotopic Ratios -- 8.6 Various Configurations for Radiocarbon Accelerator Mass Spectrometry -- 8.7 Conclusion and Future Directions -- References -- 9 Preparation for Radiocarbon Analysis -- 9.1 Introduction -- 9.2 General Procedures for Sample Preparation -- 9.2.1 Sample Selection -- 9.2.2 Avoiding Contamination with Radiocarbon Tracer -- 9.2.3 Pretreatment and Conversion to Carbon Dioxide -- 9.2.4 Graphitization Methods -- 9.3 Evaluating Measurement Uncertainties -- 9.3.1 Introduction of Extraneous Carbon During Processing -- 9.3.2 Correcting for Background Carbon -- 9.3.3 Processing of Materials with Known Radiocarbon Content -- 9.4 Examples of Sampling and Pretreatment -- 9.4.1 Homogeneous Carbon Used for Age Determination (Closed System) -- 9.4.1.1 Acid-Base-Acid Treatment -- 9.4.1.2 Calcium Carbonate Materials -- 9.4.1.3 Cellulose Extraction -- 9.4.1.4 Bone -- 9.4.2 Homogeneous Compounds in Open Systems -- 9.4.2.1 Dissolved Inorganic Carbon -- 9.4.2.2 Carbon Dioxide in Air -- 9.4.2.3 Methane in Air and Water -- 9.4.3 Heterogeneously Aged Carbon -- 9.4.3.1 Soil Organic Matter -- 9.4.3.2 Dissolved Organic Carbon -- 9.4.3.3 Compound-Specific Methods -- 9.4.3.4 Organic Compounds in Biosilica -- 9.5 Isotopically Enriched Samples -- 9.6 Conclusions and Future Directions -- References.
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  • 2
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Global warming is predicted to be most pronounced at high latitudes, and observational evidence over the past 25 years suggests that this warming is already under way. One-third of the global soil carbon pool is stored in northern latitudes, so there is considerable interest in understanding ...
    Type of Medium: Electronic Resource
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  • 3
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    PANGAEA
    In:  Supplement to: Zhang, Xiaowen; Hutchings, Jack A; Bianchi, Thomas S; Liu, Yina; Arellano, Ana R; Schuur, Edward A G (2017): Importance of lateral flux and its percolation depth on organic carbon export in Arctic tundra soil: implications from a soil leaching experiment. Journal of Geophysical Research: Biogeosciences, https://doi.org/10.1002/2016JG003754
    Publication Date: 2023-06-27
    Description: Temperature rise in the Arctic is causing deepening of active layers and resulting in the mobilization of deep permafrost dissolved organic matter (DOM). However, the mechanisms of DOM mobilization from Arctic soils, especially upper soil horizons which are drained most frequently through a year, are poorly understood. Here, we conducted a short-term leaching experiment on surface and deep organic active layer soils, from the Yukon River basin, to examine the effects of DOM transport on bulk and molecular characteristics. Our data showed a net release of DOM from surface soils equal to an average of 5% of soil carbon. Conversely, deep soils percolated with surface leachates retained up to 27% of bulk DOM-while releasing fluorescent components (up to 107%), indicating selective release of aromatic components (e.g. lignin, tannin), while retaining non-chromophoric components, as supported by spectrofluorometric and ultra high resolution mass spectroscopic techniques. Our findings highlight the importance of the lateral flux of DOM on ecosystem carbon balance as well as processing of DOM transport through organic active layer soils en route to rivers and streams. This work also suggests the potential role of leachate export as an important mechanism of C losses from Arctic soils, in comparison with the more traditional pathway from soil to atmosphere in a warming Arctic.
    Keywords: Alaska, USA; CDRILL; Core drilling; Eight-Mile-Lake; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 4
    Publication Date: 2024-01-27
    Keywords: Age, dated; Age, error; Age, radiocarbon; Alaskan North Slope; AWI_Perma; Carbon, organic, total; Central Laptev Sea; climate feedbacks; Density, bulk, permafrost; DEPTH, sediment/rock; Dmitry Laptev Strait; Event label; Greenhouse gas source; Height above sea level; Ice content, intrasedimentary ice; Identification; IPA Action Group: The Yedoma Region; Kolyma Lowland; Late Pleistocene; Latitude of event; Lena Delta; Longitude of event; MULT; Multiple investigations; New Siberian Achipelago; Permafrost; Permafrost Research; PETA-CARB; PETA-CARB_ID1; PETA-CARB_ID14; PETA-CARB_ID15; PETA-CARB_ID17; PETA-CARB_ID18; PETA-CARB_ID19; PETA-CARB_ID22; PETA-CARB_ID4; PETA-CARB_ID6; PETA-CARB_ID8; PETA-CARB_ID9; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Sample code/label; Seward Peninsula; thermokarst; Western Laptev Sea; Yedoma; Yedoma_Region; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 1553 data points
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  • 5
    Publication Date: 2024-01-27
    Keywords: Alaska; Alaskan North Slope; Area/locality; AWI_Perma; Beaufort Sea; Central Laptev Sea; climate feedbacks; Coverage; Density, bulk, permafrost; Dmitry Laptev Strait; Event label; Greenhouse gas source; Identification; IPA Action Group: The Yedoma Region; Kolyma Lowland; Late Pleistocene; LATITUDE; Layer thickness; Lena Delta; LONGITUDE; MULT; Multiple investigations; New Siberian Achipelago; Permafrost; Permafrost Research; PETA-CARB; PETA-CARB_ID1; PETA-CARB_ID10; PETA-CARB_ID11; PETA-CARB_ID12; PETA-CARB_ID13; PETA-CARB_ID14; PETA-CARB_ID15; PETA-CARB_ID16; PETA-CARB_ID17; PETA-CARB_ID18; PETA-CARB_ID19; PETA-CARB_ID2; PETA-CARB_ID20; PETA-CARB_ID21; PETA-CARB_ID22; PETA-CARB_ID23; PETA-CARB_ID24; PETA-CARB_ID25; PETA-CARB_ID26; PETA-CARB_ID27; PETA-CARB_ID3; PETA-CARB_ID4; PETA-CARB_ID5; PETA-CARB_ID6; PETA-CARB_ID7; PETA-CARB_ID8; PETA-CARB_ID9; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Sample amount; Seward Peninsula; Site; thermokarst; Western Laptev Sea; Yedoma; Yedoma_Region
    Type: Dataset
    Format: text/tab-separated-values, 193 data points
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  • 6
    Publication Date: 2024-01-27
    Keywords: Age, dated; Age, error; Age, radiocarbon; Alaska; Alaskan North Slope; AWI_Perma; Beaufort Sea; Carbon, organic, total; Central Laptev Sea; climate feedbacks; Density, bulk, permafrost; DEPTH, sediment/rock; Dmitry Laptev Strait; Event label; Greenhouse gas source; Height above sea level; Ice content, intrasedimentary ice; Ice wedge content; Identification; IPA Action Group: The Yedoma Region; Kolyma Lowland; Late Pleistocene; Latitude of event; Lena Delta; Longitude of event; MULT; Multiple investigations; New Siberian Achipelago; Permafrost; Permafrost Research; PETA-CARB; PETA-CARB_ID1; PETA-CARB_ID10; PETA-CARB_ID11; PETA-CARB_ID12; PETA-CARB_ID13; PETA-CARB_ID14; PETA-CARB_ID15; PETA-CARB_ID16; PETA-CARB_ID17; PETA-CARB_ID2; PETA-CARB_ID20; PETA-CARB_ID21; PETA-CARB_ID22; PETA-CARB_ID23; PETA-CARB_ID24; PETA-CARB_ID25; PETA-CARB_ID26; PETA-CARB_ID27; PETA-CARB_ID3; PETA-CARB_ID4; PETA-CARB_ID5; PETA-CARB_ID6; PETA-CARB_ID7; PETA-CARB_ID8; PETA-CARB_ID9; Rapid Permafrost Thaw in a Warming Arctic and Impacts on the Soil Organic Carbon Pool; Sample code/label; thermokarst; Western Laptev Sea; Yedoma; Yedoma_Region; δ13C
    Type: Dataset
    Format: text/tab-separated-values, 5074 data points
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  • 7
    Publication Date: 2024-04-12
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In-situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. Therefore, we here provide four datasets comprising: 1. Harmonized, standardized and aggregated in situ observations of SEB components at 64 vegetated and glaciated sites north of 60° latitude, in the time period 1994-2021 2. A description of all study sites and associated environmental conditions, including the vegetation types, which correspond to the classification of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). 3. Data generated in a literature synthesis from 358 study sites on vegetation or glacier (〉=60°N latitude) covered by 148 publications. 4. Metadata, including data contributor information and measurement heights of variables associated with Oehri et al. 2022.
    Keywords: Arctic; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; dry tundra; Eddy covariance; eddy heat flux; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Land-Atmosphere; Land-cover; latent and sensible heat; latent heat flux; longwave radiation; meteorological data; observatory data; Peat bog; Radiation fluxes; Radiative energy budget; sensible heat flux; shortwave radiation; shrub tundra; surface energy balance; synthetic data; tundra vegetation; wetland
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 8
    Publication Date: 2024-05-05
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset describes the environmental conditions for 64 tundra and glacier sites (〉=60°N latitude) across the Arctic, for which in situ measurements of surface energy budget components were harmonized (see Oehri et al. 2022). These environmental conditions are (proxies of) potential drivers of SEB-components and could therefore be called SEB-drivers. The associated environmental conditions, include the vegetation types graminoid tundra, prostrate dwarf-shrub tundra, erect-shrub tundra, wetland complexes, barren complexes (≤ 40% horizontal plant cover), boreal peat bogs and glacier. These land surface types (apart from boreal peat bogs) correspond to the main classification units of the Circumpolar Arctic Vegetation Map (CAVM, Raynolds et al. 2019). For each site, additional climatic and biophysical variables are available, including cloud cover, snow cover duration, permafrost characteristics, climatic conditions and topographic conditions.
    Keywords: Arctic; Arctic_SEB_CA-SCB; Arctic_SEB_CP1; Arctic_SEB_Dye-2; Arctic_SEB_EGP; Arctic_SEB_FI-Lom; Arctic_SEB_GL-NuF; Arctic_SEB_GL-ZaF; Arctic_SEB_GL-ZaH; Arctic_SEB_KAN_B; Arctic_SEB_KAN_L; Arctic_SEB_KAN_M; Arctic_SEB_KAN_U; Arctic_SEB_KPC_L; Arctic_SEB_KPC_U; Arctic_SEB_MIT; Arctic_SEB_NASA-E; Arctic_SEB_NASA-SE; Arctic_SEB_NASA-U; Arctic_SEB_NUK_K; Arctic_SEB_NUK_L; Arctic_SEB_NUK_N; Arctic_SEB_NUK_U; Arctic_SEB_QAS_A; Arctic_SEB_QAS_L; Arctic_SEB_QAS_M; Arctic_SEB_QAS_U; Arctic_SEB_RU-Che; Arctic_SEB_RU-Cok; Arctic_SEB_RU-Sam; Arctic_SEB_RU-Tks; Arctic_SEB_RU-Vrk; Arctic_SEB_Saddle; Arctic_SEB_SCO_L; Arctic_SEB_SCO_U; Arctic_SEB_SE-St1; Arctic_SEB_SJ-Adv; Arctic_SEB_SJ-Blv; Arctic_SEB_SouthDome; Arctic_SEB_Summit; Arctic_SEB_TAS_A; Arctic_SEB_TAS_L; Arctic_SEB_TAS_U; Arctic_SEB_THU_L; Arctic_SEB_THU_U; Arctic_SEB_Tunu-N; Arctic_SEB_UPE_L; Arctic_SEB_UPE_U; Arctic_SEB_US-A03; Arctic_SEB_US-A10; Arctic_SEB_US-An1; Arctic_SEB_US-An2; Arctic_SEB_US-An3; Arctic_SEB_US-Atq; Arctic_SEB_US-Brw; Arctic_SEB_US-EML; Arctic_SEB_US-HVa; Arctic_SEB_US-ICh; Arctic_SEB_US-ICs; Arctic_SEB_US-ICt; Arctic_SEB_US-Ivo; Arctic_SEB_US-NGB; Arctic_SEB_US-Upa; Arctic_SEB_US-xHE; Arctic_SEB_US-xTL; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; Aspect; Aspect, coefficient of variation; Calculated average/mean values; Cloud cover; Cloud cover, standard deviation; Cloud top pressure; Cloud top pressure, standard deviation; Cloud top temperature; Cloud top temperature, standard deviation; Conrad's continentality index; Daily maximum; Daily mean; Data source; Date/Time of event; dry tundra; Eddy covariance; eddy heat flux; ELEVATION; Elevation, standard deviation; Event label; Field observation; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Humidity, relative; Land-Atmosphere; Land-cover; Land cover classes; Land cover type; latent and sensible heat; latent heat flux; LATITUDE; Location ID; LONGITUDE; longwave radiation; Mean values; Median values; meteorological data; Number of vegetation types; observatory data; Peat bog; Permafrost, type; Permafrost extent; Permafrost ice content, description; Precipitation; Precipitation, coefficient of variation; Precipitation, daily, maximum; Precipitation, snow; Precipitation, sum; Pressure, atmospheric; p-value; Radiation fluxes; Radiative energy budget; Reference/source; sensible heat flux; Shannon Diversity Index; Shannon Diversity Index, maximum; shortwave radiation; shrub tundra; Site; Slope; Slope, coefficient of variation; Slope, mathematical; Snow, onset, day of the year; Snow cover, number of days; Snowfall, coefficient of variation; Snow-free days; Snow type; Soil water content, volumetric; Species present; Summer warmth index; surface energy balance; synthetic data; Temperature, air, annual mean; Temperature, air, coefficient of variation; Temperature, annual mean range; tundra vegetation; Type of study; Uniform resource locator/link to reference; Vapour pressure deficit; Vegetation type; wetland; Wind speed; Zone
    Type: Dataset
    Format: text/tab-separated-values, 4705 data points
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  • 9
    Publication Date: 2024-04-12
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset contains metadata information about surface energy budget components measured at 64 tundra and glacier sites 〉60° N across the Arctic. This information was taken from the open-access repositories FLUXNET, Ameriflux, AON, GC-Net and PROMICE. The contained datasets are associated with the publication vegetation type as an important predictor of the Arctic Summer Land Surface Energy Budget by Oehri et al. 2022, and intended to support research of surface energy budgets and their relationship with environmental conditions, in particular vegetation characteristics across the terrestrial Arctic.
    Keywords: Aggregation type; Arctic; Arctic_SEB_CA-SCB; Arctic_SEB_CP1; Arctic_SEB_Dye-2; Arctic_SEB_EGP; Arctic_SEB_FI-Lom; Arctic_SEB_GL-NuF; Arctic_SEB_GL-ZaF; Arctic_SEB_GL-ZaH; Arctic_SEB_KAN_B; Arctic_SEB_KAN_L; Arctic_SEB_KAN_M; Arctic_SEB_KAN_U; Arctic_SEB_KPC_L; Arctic_SEB_KPC_U; Arctic_SEB_MIT; Arctic_SEB_NASA-E; Arctic_SEB_NASA-SE; Arctic_SEB_NASA-U; Arctic_SEB_NUK_K; Arctic_SEB_NUK_L; Arctic_SEB_NUK_N; Arctic_SEB_NUK_U; Arctic_SEB_QAS_A; Arctic_SEB_QAS_L; Arctic_SEB_QAS_M; Arctic_SEB_QAS_U; Arctic_SEB_RU-Che; Arctic_SEB_RU-Cok; Arctic_SEB_RU-Sam; Arctic_SEB_RU-Tks; Arctic_SEB_RU-Vrk; Arctic_SEB_Saddle; Arctic_SEB_SCO_L; Arctic_SEB_SCO_U; Arctic_SEB_SE-St1; Arctic_SEB_SJ-Adv; Arctic_SEB_SJ-Blv; Arctic_SEB_SouthDome; Arctic_SEB_Summit; Arctic_SEB_TAS_A; Arctic_SEB_TAS_L; Arctic_SEB_TAS_U; Arctic_SEB_THU_L; Arctic_SEB_THU_U; Arctic_SEB_Tunu-N; Arctic_SEB_UPE_L; Arctic_SEB_UPE_U; Arctic_SEB_US-A03; Arctic_SEB_US-A10; Arctic_SEB_US-An1; Arctic_SEB_US-An2; Arctic_SEB_US-An3; Arctic_SEB_US-Atq; Arctic_SEB_US-Brw; Arctic_SEB_US-EML; Arctic_SEB_US-HVa; Arctic_SEB_US-ICh; Arctic_SEB_US-ICs; Arctic_SEB_US-ICt; Arctic_SEB_US-Ivo; Arctic_SEB_US-NGB; Arctic_SEB_US-Upa; Arctic_SEB_US-xHE; Arctic_SEB_US-xTL; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; Author(s); Data source; Date/Time of event; Day of the year; Description; dry tundra; Eddy covariance; eddy heat flux; Event label; Field observation; First year of observation; glacier; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Institution; Instrument; Land-Atmosphere; Land-cover; Last year of observation; latent and sensible heat; latent heat flux; LATITUDE; Location ID; LONGITUDE; longwave radiation; meteorological data; Method comment; observatory data; Peat bog; Radiation fluxes; Radiative energy budget; Sample height; sensible heat flux; shortwave radiation; shrub tundra; surface energy balance; synthetic data; tundra vegetation; Type of study; Unit; Variable; wetland
    Type: Dataset
    Format: text/tab-separated-values, 20562 data points
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  • 10
    Publication Date: 2024-04-12
    Description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models. This dataset describes the data generated in a literature synthesis, covering 358 study sites on vegetation or glacier (〉=60°N latitude), which contained surface energy budget observations. The literature synthesis comprised 148 publications searched on the ISI Web of Science Core Collection.
    Keywords: Arctic; Arctic_SEB_1; Arctic_SEB_1951-2009_1; Arctic_SEB_1965-2000_1; Arctic_SEB_1965-2000_2; Arctic_SEB_1965-2000_3; Arctic_SEB_1965-2000_4; Arctic_SEB_1969-2013_1; Arctic_SEB_1970-1972_1; Arctic_SEB_1970-1979_1; Arctic_SEB_1972-2004_1; Arctic_SEB_1972-2004_10; Arctic_SEB_1972-2004_11; Arctic_SEB_1972-2004_2; Arctic_SEB_1972-2004_3; Arctic_SEB_1972-2004_4; Arctic_SEB_1972-2004_5; Arctic_SEB_1972-2004_6; Arctic_SEB_1972-2004_7; Arctic_SEB_1972-2004_8; Arctic_SEB_1972-2004_9; Arctic_SEB_1979-1995_1; Arctic_SEB_1979-1995_2; Arctic_SEB_1979-1995_3; Arctic_SEB_1979-1995_4; Arctic_SEB_1979-2005_1; Arctic_SEB_1980-1981_1; Arctic_SEB_1981-1997_1; Arctic_SEB_1981-1997_2; Arctic_SEB_1983-2005_1; Arctic_SEB_1983-2005_2; Arctic_SEB_1983-2005_3; Arctic_SEB_1984-1991_1; Arctic_SEB_1985-1989_1; Arctic_SEB_1985-2016_1; Arctic_SEB_1988-1988_1; Arctic_SEB_1988-1988_2; Arctic_SEB_1988-1988_3; Arctic_SEB_1988-1988_4; Arctic_SEB_1988-1988_5; Arctic_SEB_1989-1990_1; Arctic_SEB_1990-1991_1; Arctic_SEB_1991-1991_1; Arctic_SEB_1991-1999_1; Arctic_SEB_1991-1999_2; Arctic_SEB_1991-1999_3; Arctic_SEB_1992-1992_1; Arctic_SEB_1992-1997_1; Arctic_SEB_1994-1994_1; Arctic_SEB_1994-1994_2; Arctic_SEB_1994-1994_3; Arctic_SEB_1994-1994_4; Arctic_SEB_1994-1996_1; Arctic_SEB_1994-1996_10; Arctic_SEB_1994-1996_11; Arctic_SEB_1994-1996_12; Arctic_SEB_1994-1996_13; Arctic_SEB_1994-1996_14; Arctic_SEB_1994-1996_15; Arctic_SEB_1994-1996_16; Arctic_SEB_1994-1996_17; Arctic_SEB_1994-1996_2; Arctic_SEB_1994-1996_3; Arctic_SEB_1994-1996_4; Arctic_SEB_1994-1996_5; Arctic_SEB_1994-1996_6; Arctic_SEB_1994-1996_7; Arctic_SEB_1994-1996_8; Arctic_SEB_1994-1996_9; Arctic_SEB_1994-2008_1; Arctic_SEB_1994-2008_2; Arctic_SEB_1994-2009_1; Arctic_SEB_1994-2015_1; Arctic_SEB_1994-2015_2; Arctic_SEB_1994-2015_3; Arctic_SEB_1994-2015_4; Arctic_SEB_1994-2015_5; Arctic_SEB_1994-2015_6; Arctic_SEB_1995-1995_1; Arctic_SEB_1995-1995_2; Arctic_SEB_1995-1996_1; Arctic_SEB_1995-1997_1; Arctic_SEB_1995-1997_2; Arctic_SEB_1995-1997_3; Arctic_SEB_1995-1997_4; Arctic_SEB_1995-1998_1; Arctic_SEB_1995-1999_1; Arctic_SEB_1996-1997_1; Arctic_SEB_1996-1999_1; Arctic_SEB_1996-2005_1; Arctic_SEB_1996-2005_2; Arctic_SEB_1996-2005_3; Arctic_SEB_1997-1998_1; Arctic_SEB_1997-1999_1; Arctic_SEB_1997-2018_1; Arctic_SEB_1997-2018_10; Arctic_SEB_1997-2018_11; Arctic_SEB_1997-2018_12; Arctic_SEB_1997-2018_13; Arctic_SEB_1997-2018_14; Arctic_SEB_1997-2018_15; Arctic_SEB_1997-2018_16; Arctic_SEB_1997-2018_17; Arctic_SEB_1997-2018_18; Arctic_SEB_1997-2018_19; Arctic_SEB_1997-2018_2; Arctic_SEB_1997-2018_20; Arctic_SEB_1997-2018_21; Arctic_SEB_1997-2018_22; Arctic_SEB_1997-2018_23; Arctic_SEB_1997-2018_24; Arctic_SEB_1997-2018_25; Arctic_SEB_1997-2018_3; Arctic_SEB_1997-2018_4; Arctic_SEB_1997-2018_5; Arctic_SEB_1997-2018_6; Arctic_SEB_1997-2018_7; Arctic_SEB_1997-2018_8; Arctic_SEB_1997-2018_9; Arctic_SEB_1998-1998_1; Arctic_SEB_1998-1999_1; Arctic_SEB_1998-2000_1; Arctic_SEB_1998-2001_1; Arctic_SEB_1998-2005_1; Arctic_SEB_1998-2011_1; Arctic_SEB_1998-2011_2; Arctic_SEB_1998-2011_3; Arctic_SEB_1998-2013_1; Arctic_SEB_1999-1999_1; Arctic_SEB_1999-2000_1; Arctic_SEB_1999-2008_1; Arctic_SEB_1999-2008_2; Arctic_SEB_1999-2009_1; Arctic_SEB_1999-2014_1; Arctic_SEB_2000-2000_1; Arctic_SEB_2000-2000_2; Arctic_SEB_2000-2000_3; Arctic_SEB_2000-2000_4; Arctic_SEB_2000-2002_1; Arctic_SEB_2000-2002_2; Arctic_SEB_2000-2002_3; Arctic_SEB_2000-2003_1; Arctic_SEB_2000-2003_2; Arctic_SEB_2000-2003_3; Arctic_SEB_2000-2007_1; Arctic_SEB_2000-2007_2; Arctic_SEB_2000-2007_3; Arctic_SEB_2000-2007_4; Arctic_SEB_2000-2008_1; Arctic_SEB_2000-2010_1; Arctic_SEB_2000-2011_1; Arctic_SEB_2000-2011_10; Arctic_SEB_2000-2011_11; Arctic_SEB_2000-2011_2; Arctic_SEB_2000-2011_3; Arctic_SEB_2000-2011_4; Arctic_SEB_2000-2011_5; Arctic_SEB_2000-2011_6; Arctic_SEB_2000-2011_7; Arctic_SEB_2000-2011_8; Arctic_SEB_2000-2011_9; Arctic_SEB_2000-2014_1; Arctic_SEB_2001-2003_1; Arctic_SEB_2002-2002_1; Arctic_SEB_2002-2003_1; Arctic_SEB_2002-2003_2; Arctic_SEB_2002-2004_1; Arctic_SEB_2002-2010_1; Arctic_SEB_2002-2012_1; Arctic_SEB_2002-2012_2; Arctic_SEB_2002-2012_3; Arctic_SEB_2003-2003_1; Arctic_SEB_2003-2004_1; Arctic_SEB_2003-2007_1; Arctic_SEB_2003-2008_1; Arctic_SEB_2003-2008_2; Arctic_SEB_2003-2010_1; Arctic_SEB_2003-2010_2; Arctic_SEB_2003-2010_3; Arctic_SEB_2003-2011_1; Arctic_SEB_2004-2004_1; Arctic_SEB_2004-2006_1; Arctic_SEB_2004-2013_1; Arctic_SEB_2005-2005_1; Arctic_SEB_2006-2006_1; Arctic_SEB_2006-2006_2; Arctic_SEB_2006-2007_1; Arctic_SEB_2006-2007_10; Arctic_SEB_2006-2007_11; Arctic_SEB_2006-2007_12; Arctic_SEB_2006-2007_13; Arctic_SEB_2006-2007_14; Arctic_SEB_2006-2007_2; Arctic_SEB_2006-2007_3; Arctic_SEB_2006-2007_4; Arctic_SEB_2006-2007_5; Arctic_SEB_2006-2007_6; Arctic_SEB_2006-2007_7; Arctic_SEB_2006-2007_8; Arctic_SEB_2006-2007_9; Arctic_SEB_2006-2008_1; Arctic_SEB_2006-2008_2; Arctic_SEB_2006-2009_1; Arctic_SEB_2007-2007_1; Arctic_SEB_2007-2008_1; Arctic_SEB_2007-2009_1; Arctic_SEB_2007-2009_2; Arctic_SEB_2007-2010_1; Arctic_SEB_2007-2014_1; Arctic_SEB_2007-2015_1; Arctic_SEB_2007-2015_2; Arctic_SEB_2008-2008_1; Arctic_SEB_2008-2008_2; Arctic_SEB_2008-2008_3; Arctic_SEB_2008-2009_1; Arctic_SEB_2008-2010_1; Arctic_SEB_2008-2010_2; Arctic_SEB_2008-2010_3; Arctic_SEB_2008-2011_1; Arctic_SEB_2008-2012_1; Arctic_SEB_2008-2012_2; Arctic_SEB_2008-2012_3; Arctic_SEB_2009-2012_1; Arctic_SEB_2009-2012_2; Arctic_SEB_2009-2012_3; Arctic_SEB_2009-2012_4; Arctic_SEB_2009-2012_5; Arctic_SEB_2009-2014_1; Arctic_SEB_2009-2014_2; Arctic_SEB_2010-2014_1; Arctic_SEB_2010-2014_2; Arctic_SEB_2010-2014_3; Arctic_SEB_2010-2014_4; Arctic_SEB_2010-2014_5; Arctic_SEB_2011-2011_1; Arctic_SEB_2011-2013_1; Arctic_SEB_2011-2014_1; Arctic_SEB_2012-2012_1; Arctic_SEB_2012-2013_1; Arctic_SEB_2012-2013_2; Arctic_SEB_2012-2013_3; Arctic_SEB_2012-2013_4; Arctic_SEB_2012-2014_1; Arctic_SEB_2012-2015_1; Arctic_SEB_2012-2015_2; Arctic_SEB_2012-2015_3; Arctic_SEB_2012-2015_4; Arctic_SEB_2012-2015_5; Arctic_SEB_2013-2013_1; Arctic_SEB_2013-2014_1; Arctic_SEB_2013-2015_1; Arctic_SEB_2013-2015_2; Arctic_SEB_2013-2015_3; Arctic_SEB_2014-2014_1; Arctic_SEB_2014-2015_1; Arctic_SEB_2014-2016_1; Arctic_SEB_2015-2015_1; Arctic_SEB_2015-2015_2; Arctic_SEB_2015-2015_3; ArcticTundraSEB; Arctic Tundra Surface Energy Budget; Author(s); Classification; Comment; Data collection methodology; Data type; Date/Time of event; dry tundra; Eddy covariance; eddy heat flux; ELEVATION; Energy budget, description; Event label; Field observation; First year of observation; glacier; glaciers; graminoids; ground heat flux and net radiation; harmonized data; high latitude; Identification; Journal/report title; Land-Atmosphere; Land-cover; Last year of observation; latent and sensible heat; latent heat flux; LATITUDE; Location; LONGITUDE; longwave radiation; meteorological data; observatory data; Peat bog; Persistent Identifier; Publication type; Radiation fluxes; Radiative energy budget; Resolution; Season; sensible heat flux; shortwave radiation; shrub tundra; Spatial coverage; surface energy balance; synthetic data; Title; tundra vegetation; Type of study; Variable; Vegetation type; wetland; wetlands; Year of publication
    Type: Dataset
    Format: text/tab-separated-values, 8650 data points
    Location Call Number Limitation Availability
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