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  • American Chemical Society  (489.322)
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  • MDPI  (56.744)
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  • 1
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    MDPI
    Publikationsdatum: 2023-11-22
    Beschreibung: Climate change and urban development threaten health, undermine coping and deepen existing social and environmental inequities. A changing global environment requires transformative social responses: new partnerships, deep engagement with local communities, and innovations to strengthen individual and collective assets. The chapters of this proposed edited volume will be contributed mainly by established and emerging scholars from individuals, representing social work, sociology, development studies, law, government, social anthropology, urbanism, The chapters of this proposed edited volume will be contributed mainly by established and emerging scholars from individuals representing social work, sociology, development studies, public policy, and other social sciences This book is to be used for academics, policy makers, social work students, lecturers and other stakeholders to promote advocacy for vulnerable client groups affected by Climate Change. It gives some measure of hope and make the invisible visible to change.
    Schlagwort(e): Social Science ; Sociology ; Social Science ; Urban ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFS Social groups::JFSG Urban communities
    Sprache: Englisch
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  • 2
    Publikationsdatum: 2021-06-25
    Beschreibung: Seeps are the expression of the migration of hydrocarbons from subsurface accumulations to the surface in sedimentary basins. They may represent an important indication of the presence of petroleum (gas and oil) reservoirs and faults, and are a natural source of greenhouse gas (methane) and atmospheric pollutants (ethane, propane) to the atmosphere. Romania is one of the countries with the largest number of seeps in the world, due to the high petroleum potential and active tectonics. Based on a review of the available literature, and on the field surveys performed by the authors during the last 17 years, we report the first comprehensive GIS-based inventory of 470 seeps in Romania (HYSED-RO), including gas seeps (10.4% of the total), oil seeps (11.7%), mud volcanoes (50.4%), gas-rich springs (12.6%), asphalt (solid) seeps (4.3%), unclassified manifestations (4.0%), and uncertain seeps (6.6%). Seeps are typically located in correspondence with major faults and vertical and fractured stratigraphic contacts associated to petroleum reservoirs (anticlines) in low heat flow areas, and their gas-geochemistry reflects that of the subsurface reservoirs. The largest and most active seeps occur in the Carpathian Foredeep, where they release thermogenic gas, and subordinately in the Transylvanian Basin, where gas is mainly microbial. HYSED-RO may represent a key reference for baseline characterization prior to subsurface petroleum extraction, for environmental studies, and atmospheric greenhouse gas emission estimates in Romania.
    Beschreibung: Published
    Beschreibung: 39
    Beschreibung: 6A. Geochimica per l'ambiente
    Beschreibung: JCR Journal
    Schlagwort(e): hydrocarbon seeps ; methane ; mud volcanoes ; petroleum systems ; seep database ; 03.04. Chemical and biological
    Repository-Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Materialart: article
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  • 3
    Publikationsdatum: 2019-12-03
    Beschreibung: Phytoplankton in the ocean are extremely diverse. The abundance of various intracellular pigments are often used to study phytoplankton physiology and ecology, and identify and quantify different phytoplankton groups. In this study, phytoplankton absorption spectra (aph(λ)) derived from underway flow-through AC-S measurements in the Fram Strait are combined with phytoplankton pigment measurements analyzed by high-performance liquid chromatography (HPLC) to evaluate the retrieval of various pigment concentrations at high spatial resolution. The performances of two approaches, Gaussian decomposition and the matrix inversion technique are investigated and compared. Our study is the first to apply the matrix inversion technique to underway spectrophotometry data. We find that Gaussian decomposition provides good estimates (median absolute percentage error, MPE 21–34%) of total chlorophyll-a (TChl-a), total chlorophyll-b (TChl-b), the combination of chlorophyll-c1 and -c2 (Chl-c1/2), photoprotective (PPC) and photosynthetic carotenoids (PSC). This method outperformed one of the matrix inversion algorithms, i.e., singular value decomposition combined with non-negative least squares (SVD-NNLS), in retrieving TChl-b, Chl-c1/2, PSC, and PPC. However, SVD-NNLS enables robust retrievals of specific carotenoids (MPE 37–65%), i.e., fucoxanthin, diadinoxanthin and 19′-hexanoyloxyfucoxanthin, which is currently not accomplished by Gaussian decomposition. More robust predictions are obtained using the Gaussian decomposition method when the observed aph(λ) is normalized by the package effect index at 675 nm. The latter is determined as a function of “packaged” aph(675) and TChl-a concentration, which shows potential for improving pigment retrieval accuracy by the combined use of aph(λ) and TChl-a concentration data. To generate robust estimation statistics for the matrix inversion technique, we combine leave-one-out cross-validation with data perturbations. We find that both approaches provide useful information on pigment distributions, and hence, phytoplankton community composition indicators, at a spatial resolution much finer than that can be achieved with discrete samples.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 4
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-01-30
    Beschreibung: The purpose of this list of digital platforms is to facilitate the research of scientific data (articles, books, conferences, websites, indexers, etc.) by students of all undergraduate levels. The interface of platforms have similarities and because of this, low degree of difficulty of use. I emphasize that the key to an excellent literature search on digital platforms is to choose the right "keyword".
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/zip
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  • 5
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-03-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 6
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-03-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 7
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-03-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 8
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-03-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 9
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-12-19
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 10
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-06-30
    Beschreibung: The LAPMv2 program (or Large-Area Photo-Mosaicking Tool v2) was specifically developed for seafloor mapping applications. It is capable of handling datasets of thousands of images, and relies on robust feature detection and matching algorithms (SIFT) as well as on navigation data from underwater vehicles (ROV, AUV, etc.) for the production of photomosaics. Final photomosaics are geo-referenced and saved as GeoTiff for direct import into a Geographic Information System (GIS).
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 11
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-05-27
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 12
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-07-02
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 13
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-07-11
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 14
    Publikationsdatum: 2016-07-12
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 15
    Publikationsdatum: 2017-02-13
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 16
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-10-16
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 17
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-10-29
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 18
    Publikationsdatum: 2017-11-06
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 19
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-12-31
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 20
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-01-19
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 21
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-01-19
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 22
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-03-15
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 23
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-03-26
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 24
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-01-22
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 25
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-05-04
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 26
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    MDPI
    In:  EPIC3Geosciences, MDPI, 8(8)
    Publikationsdatum: 2018-08-28
    Beschreibung: Exposed stones in sandy sublittoral environments are hotspots for marine biodiversity, especially for benthic communities. The detection of single stones is principally possible using sidescan-sonar (SSS) backscatter data. The data resolution has to be high to visualize the acoustic shadows of the stones. Otherwise, stony substrates will not be differentiable from other high backscatter substrates (e.g., gravel). Acquiring adequate sonar data and identifying stones in backscatter images is time consuming because it usually requires visual-manual procedures. To develop a more efficient identification and demarcation procedure of stone fields, sidescan sonar and parametric echo sound data were recorded within the marine protected area of “Sylt Outer Reef” (German Bight, North Sea). The investigated area (~5.900 km2) is characterized by dispersed heterogeneous moraine and marine deposits. Data from parametric sediment echo sounder indicate hyperbolas at the sediment surface in stony areas, which can easily be exported. By combining simultaneous recorded low backscatter data and parametric single beam data, stony grounds were demarcated faster, less complex and reproducible from gravelly substrates indicating similar high backscatter in the SSS data.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 27
    Publikationsdatum: 2018-08-28
    Beschreibung: Backscatter mosaics based on a multi-frequency multibeam echosounder survey in the continental shelf setting of the North Sea were compared. The uncalibrated backscatter data were recorded with frequencies of 200, 400 and 600 kHz. The results showed that the seafloor appears mostly featureless in acoustic backscatter mosaics derived from 600 kHz data. The same area surveyed with 200 kHz reveals numerous backscatter anomalies with diameters of 10–70 m deviating between −2 dB and +4 dB from the background sediment. Backscatter anomalies were further subdivided based on their frequency-specific texture and were attributed to bioturbation within the sediment and the presence of polychaetes on the seafloor. While low frequencies show the highest overall contrast between different seafloor types, a consideration of all frequencies permits an improved interpretation of subtle seafloor features.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 28
    Publikationsdatum: 2018-09-10
    Beschreibung: The study presented here is focused on the assessment of surface elevations derived from CryoSat-2 SARIn level 1b data over the Austfonna ice cap, Svalbard, in 2016. The processing chain that must be applied to the CryoSat-2 waveforms to derive heights is non-trivial, and consists of multiple steps, all requiring subjective choices of methods such as the choice of retracker, geo-relocation, and outlier rejection. Here, we compare six CryoSat-2 level-2 type data sets of surface elevations derived using different SARIn processing chains. These data sets are validated against surface elevation data collected from an airborne laser scanner, during a dedicated CryoSat validation experiment field campaign carried out in April 2016. The flight pattern of the airborne campaign was designed so that elevations were measured in a grid pattern rather than along single lines, as has previously been the standard procedure. The flight grid pattern was chosen to optimize the comparison with the CryoSat-2 SARIn elevation data, the location of which can deviate from nadir by several kilometers due to topography within the satellite footprint. The processing chains behind the six data sets include different outlier/error rejection approaches, and do not produce the same number of data points in our region of interest. To make a consistent analysis, we provide statistics from the validation of both the full data sets from each processing chain, and on only those data that all the six data sets provide a geo-located elevation estimate for. We find that the CryoSat-2 data sets that agree best with the validation data are those derived from dedicated land ice processing schemes. This study may serve as a benchmark for future CryoSat-2 retracker developments, and the evaluation software and data set are made publicly available.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 29
    Publikationsdatum: 2019-08-23
    Beschreibung: The timing of snowmelt is an important turning point in the seasonal cycle of small Arctic catchments. The TerraSAR-X (TSX) satellite mission is a synthetic aperture radar system (SAR) with high potential to measure the high spatiotemporal variability of snow cover extent (SCE) and fractional snow cover (FSC) on the small catchment scale. We investigate the performance of multi-polarized and multi-pass TSX X-Band SAR data in monitoring SCE and FSC in small Arctic tundra catchments of Qikiqtaruk (Herschel Island) off the Yukon Coast in the Western Canadian Arctic. We applied a threshold based segmentation on ratio images between TSX images with wet snow and a dry snow reference, and tested the performance of two different thresholds. We quantitatively compared TSX- and Landsat 8-derived SCE maps using confusion matrices and analyzed the spatiotemporal dynamics of snowmelt from 2015 to 2017 using TSX, Landsat 8 and in situ time lapse data. Our data showed that the quality of SCE maps from TSX X-Band data is strongly influenced by polarization and to a lesser degree by incidence angle. VH polarized TSX data performed best in deriving SCE when compared to Landsat 8. TSX derived SCE maps from VH polarization detected late lying snow patches that were not detected by Landsat 8. Results of a local assessment of TSX FSC against the in situ data showed that TSX FSC accurately captured the temporal dynamics of different snow melt regimes that were related to topographic characteristics of the studied catchments. Both in situ and TSX FSC showed a longer snowmelt period in a catchment with higher contributions of steep valleys and a shorter snowmelt period in a catchment with higher contributions of upland terrain. Landsat 8 had fundamental data gaps during the snowmelt period in all 3 years due to cloud cover. The results also revealed that by choosing a positive threshold of 1 dB, detection of ice layers due to diurnal temperature variations resulted in a more accurate estimation of snow cover than a negative threshold that detects wet snow alone. We find that TSX X-Band data in VH polarization performs at a comparable quality to Landsat 8 in deriving SCE maps when a positive threshold is used. We conclude that TSX data polarization can be used to accurately monitor snowmelt events at high temporal and spatial resolution, overcoming limitations of Landsat 8, which due to cloud related data gaps generally only indicated the onset and end of snowmelt.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
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  • 30
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2018-09-14
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 31
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    MDPI
    In:  EPIC3Remote Sensing, MDPI, 10(7), pp. 1152, ISSN: 2072-4292
    Publikationsdatum: 2018-10-15
    Beschreibung: Yedoma—extremely ice-rich permafrost with massive ice wedges formed during the Late Pleistocene—is vulnerable to thawing and degradation under climate warming. Thawing of ice-rich Yedoma results in lowering of surface elevations. Quantitative knowledge about surface elevation changes helps us to understand the freeze-thaw processes of the active layer and the potential degradation of Yedoma deposits. In this study, we use C-band Sentinel-1 InSAR measurements to map the elevation changes over ice-rich Yedoma uplands on Sobo-Sise Island, Lena Delta with frequent revisit observations (as short as six or 12 days). We observe significant seasonal thaw subsidence during summer months and heterogeneous inter-annual elevation changes from 2016–17. We also observe interesting patterns of stronger seasonal thaw subsidence on elevated flat Yedoma uplands by comparing to the surrounding Yedoma slopes. Inter-annual analyses from 2016–17 suggest that our observed positive surface elevation changes are likely caused by the delayed progression of the thaw season in 2017, associated with mean annual air temperature fluctuations.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev , info:eu-repo/semantics/article
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  • 32
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    American Chemical Society
    In:  EPIC3Environmental Science & Technology, American Chemical Society, 52(22), pp. 13279-13288
    Publikationsdatum: 2019-03-13
    Repository-Name: EPIC Alfred Wegener Institut
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  • 33
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-03-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 34
    Publikationsdatum: 2021-02-16
    Beschreibung: Arctic and subarctic regions are sensitive to climate change and, reversely, provide dramatic feedbacks to the global climate. With a focus on discovering paleoclimate and paleoceanographic evolution in the Arctic and Northwest Pacific Oceans during the last 20,000 years, we proposed this German–Sino cooperation program according to the announcement “Federal Ministry of Education and Research (BMBF) of the Federal Republic of Germany for a German–Sino cooperation program in the marine and polar research”. Our proposed program integrates the advantages of the Arctic and Subarctic marine sediment studies in AWI (Alfred Wegener Institute) and FIO (First Institute of Oceanography). For the first time, the collection of sediment cores can cover all climatological key regions in the Arctic and Northwest Pacific Oceans. Furthermore, the climate modeling work at AWI enables a “Data-Model Syntheses”, which are crucial for exploring the underlying mechanisms of observed changes in proxy records.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , peerRev
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  • 35
    Publikationsdatum: 2019-05-28
    Beschreibung: An intercomparison of radiance and irradiance ocean color radiometers (the second laboratory comparison exercise—LCE-2) was organized within the frame of the European Space Agency funded project Fiducial Reference Measurements for Satellite Ocean Color (FRM4SOC) May 8–13, 2017 at Tartu Observatory, Estonia. LCE-2 consisted of three sub-tasks: (1) SI-traceable radiometric calibration of all the participating radiance and irradiance radiometers at the Tartu Observatory just before the comparisons; (2) indoor, laboratory intercomparison using stable radiance and irradiance sources in a controlled environment; (3) outdoor, field intercomparison of natural radiation sources over a natural water surface. The aim of the experiment was to provide a link in the chain of traceability from field measurements of water reflectance to the uniform SI-traceable calibration, and after calibration to verify whether di�erent instruments measuring the same object provide results consistent within the expected uncertainty limits. This paper describes the third phase of LCE-2: The results of the field experiment. The calibration of radiometers and laboratory comparison experiment are presented in a related paper of the same journal issue. Compared to the laboratory comparison, the field intercomparison has demonstrated substantially larger variability between freshly calibrated sensors, because the targets and environmental conditions during radiometric calibration were di�erent, both spectrally and spatially. Major di�erences were found for radiance sensors measuring a sunlit water target at viewing zenith angle of 139� because of the di�erent fields of view. Major di�erences were found for irradiance sensors because of imperfect cosine response of di�users. Variability between individual radiometers did depend significantly also on the type of the sensor and on the specific measurement target. Uniform SI traceable radiometric calibration ensuring fairly good consistency for indoor, laboratory measurements is insu�cient for outdoor, field measurements, mainly due to the di�erent angular variability of illumination. More stringent specifications and individual testing of radiometers for all relevant systematic e�ects (temperature, nonlinearity, spectral stray light, etc.) are needed to reduce biases between instruments and better quantify measurement uncertainties.
    Repository-Name: EPIC Alfred Wegener Institut
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  • 36
    Publikationsdatum: 2019-05-28
    Beschreibung: An intercomparison of radiance and irradiance ocean color radiometers (The Second Laboratory Comparison Exercise—LCE-2) was organized within the frame of the European Space Agency funded project Fiducial Reference Measurements for Satellite Ocean Color (FRM4SOC) May 8–13, 2017 at Tartu Observatory, Estonia. LCE-2 consisted of three sub-tasks: 1) SI-traceable radiometric calibration of all the participating radiance and irradiance radiometers at the Tartu Observatory just before the comparisons; 2) Indoor intercomparison using stable radiance and irradiance sources in controlled environment; and 3) Outdoor intercomparison of natural radiation sources over terrestrial water surface. The aim of the experiment was to provide one link in the chain of traceability from field measurements of water reflectance to the uniform SI-traceable calibration, and after calibration to verify whether di�erent instruments measuring the same object provide results consistent within the expected uncertainty limits. This paper describes the activities and results of the first two phases of LCE-2: the SI-traceable radiometric calibration and indoor intercomparison, the results of outdoor experiment are presented in a related paper of the same journal issue. The indoor experiment of the LCE-2 has proven that uniform calibration just before the use of radiometers is highly e�ective. Distinct radiometers from di�erent manufacturers operated by di�erent scientists can yield quite close radiance and irradiance results (standard deviation s 〈 1%) under defined conditions. This holds when measuring stable lamp-based targets under stationary laboratory conditions with all the radiometers uniformly calibrated against the same standards just prior to the experiment. In addition, some unification of measurement and data processing must be settled. Uncertaint of radiance and irradiance measurement under these conditions largely consists of the sensor’s calibration uncertainty and of the spread of results obtained by individual sensors measuring the same object.
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  • 37
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    MDPI
    In:  EPIC3Remote Sensing, MDPI, 11(9), pp. 1-18, ISSN: 2072-4292
    Publikationsdatum: 2019-05-20
    Beschreibung: Real-time quality-controlled surface current data derived from X-Band marine radar (MR) measurements were evaluated to estimate their operational reliability. The presented data were acquired by the standard commercial o�-the-shelf MR-based sigma s6 WaMoS® II (WaMoS® II) deployed onboard the German Research vessel Polarstern. The measurement reliability is specified by an IQ value obtained by the WaMoS® II real-time quality control (rtQC). Data which pass the rtQC without objection are assumed to be reliable. For these data sets accuracy and correlation with corresponding vessel-mounted acoustic Doppler current profiler (ADCP) measurements are determined. To reduce potential misinterpretation due to short-term oceanic variability/turbulences, the evaluation of the WaMoS® II accuracy was carried out based on sliding means over 20 min of the reliable data only. The associated standard deviation �WaMoS = 0.02 m/s of the meanWaMoS® II measurements reflect a high precision of the measurement and the successful rtQC during di�erent wave, current and weather conditions. The direct comparison of 7272 WaMoS® II/ADCP northward and eastward velocity data pairs yield a correlation of r � 0.94, with jbiasDj � 0.06 m/s and �S = 0.05 m/s. This confirms that the MR-based surface current measurements are accurate and reliable.
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  • 38
    Publikationsdatum: 2019-09-01
    Beschreibung: Coring sediments in subglacial aquatic environments offers unique opportunities for research on paleo-environments and paleo-climates because it can provide data from periods even earlier than ice cores, as well as the overlying ice histories, interactions between ice and the water system, life forms in extreme habitats, sedimentology, and stratigraphy. However, retrieving sediment cores from a subglacial environment faces more difficulties than sediment coring in oceans and lakes, resulting in low yields from the most current subglacial sediment coring methods. The coring tools should pass through a hot water-drilled access borehole, then the water column, to reach the sediment layers. The access boreholes are size-limited by the hot water drilling tools and techniques. These holes are drilled through ice up to 3000–4000 m thick, with diameters ranging from 10–60 cm, and with a refreezing closure rate of up to 6 mm/h after being drilled. Several purpose-built streamline corers have been developed to pass through access boreholes and collect the sediment core. The main coring objectives are as follows: (i) To obtain undisturbed water–sediment cores, either singly or as multi-cores and (ii) to obtain long cores with minimal stratigraphic deformation. Subglacial sediment coring methods use similar tools to those used in lake and ocean coring. These methods include the following: Gravity coring, push coring, piston coring, hammer or percussion coring, vibrocoring, and composite methods. Several core length records have been attained by different coring methods, including a 290 cm percussion core from the sub-ice-shelf seafloor, a 400 cm piston core from the sub-ice-stream, and a 170 cm gravity core from a subglacial lake. There are also several undisturbed water–sediment cores that have been obtained by gravity corers or hammer corers. Most current coring tools are deployed by winch and cable facilities on the ice surface. There are three main limitations for obtaining long sediment cores which determines coring tool development, as follows: Hot-water borehole radial size restriction, the sedimentary structure, and the coring techniques. In this paper, we provide a general view on current developments in coring tools, including the working principles, corer characteristics, operational methods, coring site locations, field conditions, coring results, and possible technical improvements. Future prospects in corer design and development are also discussed.
    Repository-Name: EPIC Alfred Wegener Institut
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  • 39
    Publikationsdatum: 2019-10-21
    Beschreibung: Air temperatures in the Arctic have increased substantially over the last decades, which has extensively altered the properties of the land surface. Capturing the state and dynamics of Land Surface Temperatures (LSTs) at high spatial detail is of high interest as LST is dependent on a variety of surficial properties and characterizes the land–atmosphere exchange of energy. Accordingly, this study analyses the influence of different physical surface properties on the long-term mean of the summer LST in the Arctic Mackenzie Delta Region (MDR) using Landsat 30 m-resolution imagery between 1985 and 2018 by taking advantage of the cloud computing capabilities of the Google Earth Engine. Multispectral indices, including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI) and Tasseled Cap greenness (TCG), brightness (TCB), and wetness (TCW) as well as topographic features derived from the TanDEM-X digital elevation model are used in correlation and multiple linear regression analyses to reveal their influence on the LST. Furthermore, surface alteration trends of the LST, NDVI, and NDWI are revealed using the Theil-Sen (T-S) regression method. The results indicate that the mean summer LST appears to be mostly influenced by the topographic exposition as well as the prevalent moisture regime where higher evapotranspiration rates increase the latent heat flux and cause a cooling of the surface, as the variance is best explained by the TCW and northness of the terrain. However, fairly diverse model outcomes for different regions of the MDR (R2 from 0.31 to 0.74 and RMSE from 0.51 °C to 1.73 °C) highlight the heterogeneity of the landscape in terms of influential factors and suggests accounting for a broad spectrum of different factors when modeling mean LSTs. The T-S analysis revealed large-scale wetting and greening trends with a mean decadal increase of the NDVI/NDWI of approximately +0.03 between 1985 and 2018, which was mostly accompanied by a cooling of the land surface given the inverse relationship between mean LSTs and vegetation and moisture conditions. Disturbance through wildfires intensifies the surface alterations locally and lead to significantly cooler LSTs in the long-term compared to the undisturbed surroundings.
    Repository-Name: EPIC Alfred Wegener Institut
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  • 40
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2020-03-30
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 41
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2020-03-30
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 42
    Publikationsdatum: 2021-07-23
    Beschreibung: In this work, laboratory tests with live bivalves as well as the conceptual design of additively manufactured surrogate models are presented. The overall task of this work is to develop a surrogate best fitting to the live mussels tested in accordance to the identified surface descriptor, i.e., the Abbott–Firestone Curve, and to the hydrodynamic behaviour by means of drag and inertia coefficients. To date, very few investigations have focused on loads from currents as well as waves. Therefore, tests with a towing carriage were carried out in a wave flume. A custom-made rack using mounting clamps was built to facilitate carriage-run tests with minimal delays. Blue mussels (Mytilus edulis) extracted from a site in Germany, which were kept in aerated seawater to ensure their survival for the test duration, were used. A set of preliminary results showed drag and inertia coefficients CD and CM ranging from 1.16–3.03 and 0.25 to 1.25. To derive geometrical models of the mussel dropper lines, 3-D point clouds were prepared by means of 3-D laser scanning to obtain a realistic surface model. Centered on the 3-D point cloud, a suitable descriptor for the mass distribution over the surface was identified and three 3-D printed surrogates of the blue mussel were developed for further testing. These were evaluated regarding their fit to the original 3-D point cloud of the live blue mussels via the chosen surface descriptor.
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  • 43
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2019-09-12
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 44
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    American Chemical Society
    In:  EPIC3Environmental Science & Technology, American Chemical Society, 53, pp. 8747-8756, ISSN: 1520-5851
    Publikationsdatum: 2020-06-04
    Beschreibung: Recent studies pointed to a high ice nucleating activity (INA) in the Arctic sea surface microlayer (SML). However, related chemical information is still sparse. In the present study, INA and free glucose concentrations were quantified in Arctic SML and bulk water samples from the marginal ice zone, the ice-free ocean, melt ponds, and open waters within the ice pack. T50 (defining INA) ranged from −17.4 to −26.8 °C. Glucose concentrations varied from 0.6 to 51 μg/L with highest values in the SML from the marginal ice zone and melt ponds (median 16.3 and 13.5 μg/L) and lower values in the SML from the ice pack and the ice-free ocean (median 3.9 and 4.0 μg/L). Enrichment factors between the SML and the bulk ranged from 0.4 to 17. A positive correlation was observed between free glucose concentration and INA in Arctic water samples (T50(°C) = (−25.6 ± 0.6) + (0.15 ± 0.04)·Glucose(μg/L), RP = 0.66, n = 74). Clustering water samples based on phytoplankton pigment composition resulted in robust but different correlations within the four clusters (RP between 0.67 and 0.96), indicating a strong link to phytoplankton-related processes. Since glucose did not show significant INA itself, free glucose may serve as a potential tracer for INA in Arctic water samples.
    Repository-Name: EPIC Alfred Wegener Institut
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  • 45
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-03-02
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 46
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-10-06
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 47
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-09-05
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 48
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    American Chemical Society
    In:  EPIC3Environmental Science and Technology, American Chemical Society, 50(13), pp. 7066-7073, ISSN: 0013936X
    Publikationsdatum: 2016-10-12
    Beschreibung: Atmospheric nuclear weapons testing (NWT) resulted in the injection of plutonium (Pu) into the atmosphere and subsequent global deposition. We present a new method for continuous semiquantitative measurement of 239Pu in ice cores, which was used to develop annual records of fallout from NWT in ten ice cores from Greenland and Antarctica. The 239Pu was measured directly using an inductively coupled plasma-sector field mass spectrometer, thereby reducing analysis time and increasing depth-resolution with respect to previous methods. To validate this method, we compared our one year averaged results to published 239Pu records and other records of NWT. The 239Pu profiles from the Arctic ice cores reflected global trends in NWT and were in agreement with discrete Pu profiles from lower latitude ice cores. The 239Pu measurements in the Antarctic ice cores tracked low latitude NWT, consistent with previously published discrete records from Antarctica. Advantages of the continuous 239Pu measurement method are (1) reduced sample preparation and analysis time; (2) no requirement for additional ice samples for NWT fallout determinations; (3) measurements are exactly coregistered with all other chemical, elemental, isotopic, and gas measurements from the continuous analytical system; and (4) the long half-life means the 239Pu record is stable through time.
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  • 49
    Publikationsdatum: 2016-09-17
    Beschreibung: List of non-indigenous species (NIS) established in the Great Lakes-St. Lawrence River region and the North and Baltic Seas region, their geographic origin, and taxonomic assignment. Asterisks mark the NIS that occur in both the North and Baltic Seas and the Great Lakes-St. Lawrence River regions. GL, SL, NW, NE, SW and SE denote the Great Lakes, St. Lawrence River, north-west, north-east, south-west, and south-east, respectively. Eurasia represents inland freshwaters except Yangtze River, Indo-Pacific represents Indian Ocean and the archipelago of Indonesia, Malaysia, and Pilipinas, North America (N America) represents inland freshwaters except the Laurentian Great Lakes, St. Lawrence and Mississippi Rivers, while Australia, New Zealand, Africa and South America (S America) cover all inland freshwaters in these areas.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 50
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 51
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-01
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 52
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-10
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 53
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 54
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 55
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-08
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 56
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 57
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-19
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 58
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-21
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 59
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-18
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 60
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-16
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 61
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-19
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  • 62
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-16
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 63
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-05
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
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  • 64
    Publikationsdatum: 2017-01-24
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  • 65
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-02-03
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  • 66
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-02-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-02-10
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.google-earth.kmz
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  • 68
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-02-15
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/png
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  • 69
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-02-15
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/zip
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  • 70
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-03-01
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.google-earth.kmz
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  • 71
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-03-01
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 72
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-02-28
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 73
    Publikationsdatum: 2016-09-05
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    Format: application/pdf
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  • 74
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-09-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/pdf
    Format: application/pdf
    Format: application/pdf
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  • 75
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/jpeg
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  • 76
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    MDPI
    In:  EPIC3Remote Sensing, MDPI, 8(871), pp. 1-21, ISSN: ISSN 2072-4292
    Publikationsdatum: 2016-11-08
    Beschreibung: Studying phytoplankton functional types (PFTs) from space is possible due to recent advances in remote sensing. Though a variety of products are available, the limited number of wavelengths available compared to the number of model parameters needed to be retrieved is still a major problem in using ocean-color data for PFT retrievals. Here, we investigated which band placement could improve retrievals of three particular PFTs (diatoms, coccolithophores and cyanobacteria). In addition to analyzing dominant spectral features in the absorption spectra of the target PFTs, two previously-developed methods using measured spectra were applied to simulated data. Such a synthetic dataset allowed for significantly increasing the number of scenarios and enabled a full control over parameters causing spectral changes. We evaluated the chosen band placement by applying an adapted ocean reflectance inversion, as utilized in the generalized inherent optical properties (GIOP) retrieval. Results show that the optimal band settings depend on the method applied to determine the bands placement, as well as on the internal variability of the dataset investigated. Therefore, continuous hyperspectral instruments would be most beneficial for discriminating multiple PFTs, though a small improvement in spectral sampling and resolution does not significantly modify the results. Bands, which could be added to future instruments (e.g., Ocean and Land Colour Instrument (OLCI) instrument on the upcoming Sentinel-3B,-3C,-3D, etc., and further satellites) in order to enhance PFT retrieval capabilities, were also determined.
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: Article , isiRev
    Format: application/pdf
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  • 77
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-10
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: image/jpeg
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  • 78
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-12
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/zip
    Format: application/zip
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  • 79
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-10-26
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/pdf
    Format: application/pdf
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  • 80
    Publikationsdatum: 2016-11-22
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/pdf
    Format: application/pdf
    Format: application/pdf
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  • 81
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-13
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/jpeg
    Format: image/jpeg
    Format: image/jpeg
    Format: image/jpeg
    Format: image/jpeg
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  • 82
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-13
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: image/jpeg
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  • 83
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-14
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: image/jpeg
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  • 84
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-15
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 85
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-28
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.ms-excel
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  • 86
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-22
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/jpeg
    Format: image/jpeg
    Format: image/jpeg
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  • 87
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-14
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: image/jpeg
    Format: application/pdf
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    Format: application/pdf
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  • 88
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-01-13
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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  • 89
    Publikationsdatum: 2017-02-02
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 90
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-08-29
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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  • 91
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-07-17
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/pdf
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  • 92
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-10-06
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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  • 93
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-07
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
    Format: application/pdf
    Format: image/jpeg
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  • 94
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-02
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/png
    Format: image/png
    Format: image/png
    Format: image/png
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  • 95
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-11-29
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/jpeg
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  • 96
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2016-12-08
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/png
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2017-01-25
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/pdf
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  • 98
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2015-10-29
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/png
    Format: application/pdf
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  • 99
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2015-10-22
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: image/png
    Format: application/pdf
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publikationsdatum: 2015-10-23
    Repository-Name: EPIC Alfred Wegener Institut
    Materialart: PANGAEA Documentation , notRev
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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