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  • 1
    Online Resource
    Online Resource
    Auswertung von Pflanzenfluoreszenz auf der Basis von satellitenbasierten Daten (FLUS) : Schlussbericht für das Vorhaben : Laufzeit des Vorhabens: 01.05.2013-30.04.2016 (2016)
    Bremen : Institut für Umweltphysik, Universität Bremen
    Details Availability
    Keywords: Forschungsbericht ; Fluoreszenz
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (13 Seiten, 883,78 KB) , Diagramme
    URL: https://doi.org/10.2314/GBV:1014380731
    DOI: 10.2314/GBV:1014380731
    Language: German
    Note: Förderkennzeichen BMWi 50EE1260 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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    GEOMAR CATALOGUE
    Link to Library Catalog
    get availability status
  • 2
    Online Resource
    Online Resource
    Schlussbericht für das Vorhaben: Globale Wolkenfeldstudie unter Verwendung der Sentinel-Daten (GloS) : Laufzeit des Vorhabens: 01.07.2012-31.03.2016 (kostenneutral verlängert) = A study of the global cloud field using sentinel data (2017)
    Bremen : Institut für Umweltphysik, Universität Bremen
    Details Availability
    Keywords: Forschungsbericht ; Klima ; Modell ; Wolke ; Satellitenfernerkundung
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (12 Seiten, 1,06 MB) , Diagramme
    URL: https://edocs.tib.eu/files/e01fb17/890933650.pdf
    URL: https://doi.org/10.2314/GBV:890933650
    DOI: 10.2314/GBV:890933650
    Language: German
    Note: Förderkennzeichen BMWi 50EE1220 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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    GEOMAR CATALOGUE
    Link to Library Catalog
    get availability status
  • 3
    Electronic Resource
    Electronic Resource
    Actinic flux and photolysis frequency comparison computations using the model PHOTOGT (1996)
    Springer
    Journal of atmospheric chemistry 24 (1996), S. 1-21 
    Details
    ISSN: 1573-0662
    Keywords: radiative transfer ; photolysis model ; actinic flux ; J NO2, O(1 d) production rate
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Geosciences
    Notes: Abstract The accurate radiative transfer model GOMETRAN, initially designed to yield radiances at TOA in the wavelength range 240–790 nm, has been extended to allow for the computation of actinic fluxes down to 175 nm and for the calculation of photolysis frequencies in the atmosphere. The capability of the extended model PHOTOGT (PHOTOGOMETRAN) is demonstrated in a number of successful comparison studies both with recent experiments (ground-based, balloonborne, airborne) and model calculations of radiances, actinic fluxes and photolysis frequencies in the stratosphere and troposphere. In an atmospheric case study, the impact of new quantum yield data for the O3 » O2+O(1 d) photodissociation channel on the photolytic production of O(1 d) atoms in the lower atmosphere has been quantified.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00053820
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    Paper (German National Licenses)
    Fulltext
  • 4
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    Assessing the Influence of Water Constituents on the Radiative Heating of Laptev Sea Shelf Waters (2019)
    Frontiers
    In:  Frontiers in Marine Science, 6 (221).
    Details
    Publication Date: 2022-01-31
    Description: The presence of optically active water constituents is known to attenuate the light penetration in the ocean and impact the ocean heat content. Here, we investigate the influence of colored dissolved organic matter (CDOM) and total suspended matter (TSM) on the radiative heating of the Laptev Sea shelf waters. The Laptev Sea region is heavily influenced by the Lena River, one of the largest river systems in the Arctic region. We simulate the radiative heating by using a coupled atmosphere-ocean radiative transfer model (RTM) and in situ measurements from the TRANSDRIFT XVII expedition carried out in September 2010. The results indicate that CDOM and TSM have significant influence on the energy budget of the Laptev Sea shelf waters, absorbing most of the solar energy in the first 2 m of the water column. In the station with the highest CDOM absorption (aCDOM(443) = 1.77 m−1) ~43% more energy is absorbed in the surface layer compared to the station with the lowest aCDOM(443) (~0.2 m−1), which translates to an increased radiative heating of ~0.6°C/day. The increased absorbed energy by the water constituents also implies increased sea ice melt rate and changes in the surface heat fluxes to the atmosphere. By using satellite remote sensing and RTM we quantify the spatial distribution of the radiative heating in the Laptev Sea for a typical summer day. The combined use of satellite remote sensing, RT modeling and in situ observations can be used to improve parameterization schemes in atmosphere-ocean circulation models to assess the role of the ocean in the effect of Arctic amplification.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.3389/fmars.2019.00221
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 5
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    IJERPH, Vol. 9, Pages 2504-2519: Suicide among War Veterans (2012)
    MDPI Publishing
    Details
    Publication Date: 2012-07-20
    Description: Studies aiming to identify if war veterans are at higher risk of suicide have often produced inconsistent results; this could be due to the complexity of comparisons and different methodological approaches. It should be noted that this contingent has many risk factors, such as stressful exposures, wounds, brain trauma and pain syndrome. Most recent observations confirm that veterans are really more likely to die of suicide as compared to the general population; they are also more likely to experience suicidal ideation and suffer from mental health problems. Suicides are more frequent in those who develop PTSD, depression and comorbid states due to war exposure. Combat stress and its’ frequency may be an important factor leading to suicide within the frame of the stress-vulnerability model. According to this model, the effects of stress may interact with social factors, interpersonal relations and psychological variables producing suicidal tendencies. Modern understanding of stress-vulnerability mechanisms based on genetic predispositions, early life development, level of exposure to stress and stress-reactivity together with interpersonal aspects may help to build more effective suicide prevention programs based on universal/selective/indicated prevention principles.
    Print ISSN: 1661-7827
    Electronic ISSN: 1660-4601
    Topics: Energy, Environment Protection, Nuclear Power Engineering , Medicine
    Published by MDPI Publishing
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    PAPER CURRENT
  • 6
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    Global marine chlorophyll-a fluorescence line height monthly 2003-2011 data from SCIAMACHY (netCDF files) (2019)
    PANGAEA
    In:  Supplement to: Wolanin, Aleksandra; Rozanov, Vladimir V; Dinter, Tilman; Noël, S; Vountas, Marco; Burrows, John Philipp; Bracher, Astrid (2015): Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: Feasibility study and first results. Remote Sensing of Environment, 166, 243-261, https://doi.org/10.1016/j.rse.2015.05.018
    Details
    Publication Date: 2023-10-28
    Description: This is a global data set on 0.5 degreee latitude and 0.5 degree longitude monthly resolution of oceanic sun-induced chlorophyll a fluorescence (SIF) at its red peak from January 2003 to December 2011. It was retrieved from top of atmosphere radiance measurements from the hyperspectral instruments SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) at its red peak (~685 nm) based on the Differential Optical Absorption Spectroscopy (DOAS) technique. This technique was used to exploit narrow spectral structures resulting from the filling-in of the Fraunhofer Fe I line, which originates from fluorescence. The reference spectra for chlorophyll fluorescence were calculated by the coupled ocean-atmosphere radiative transfer model SCIATRAN. We compared our results on marine chlorophyll fluorescence line height (FLH) observations with the MODIS Terra normalized Fluorescence Line Height (nFLH) product for the average of years 2003 to 2011 showing good agreement between the two data sets. All the details on the retrieval method and its evaluation can be found in Wolanin et al. (2015).
    Keywords: AC3; Arctic Amplification
    Type: Dataset
    Format: application/zip, 42.1 MBytes
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    DATA PANGAEA
  • 7
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    Global data sets of Chlorophyll a concentration for diatoms, coccolithophores (haptophytes) and cyanobacteria obtained from in situ observations and satellite retrievals (2017)
    PANGAEA
    In:  Supplement to: Losa, Svetlana N; Soppa, Mariana A; Dinter, Tilman; Wolanin, Aleksandra; Brewin, Robert J W; Bricaud, Annick; Oelker, Julia; Peeken, Ilka; Gentili, Bernard; Rozanov, Vladimir V; Bracher, Astrid (2017): Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT). Frontiers in Marine Science, 4(203), 22 pp, https://doi.org/10.3389/fmars.2017.00203
    Details
    Publication Date: 2024-02-14
    Description: We derive the chlorophyll a concentration (Chla)for three main phytoplankton functional types (PFTs)-- diatoms, coccolithophores and cyanobacteria- by combining satellite multispectral-based information, being of a high spatial and temporal resolution, with retrievals based on high resolution of PFT absorption properties derived from hyperspectral measurements. The multispectral-based PFT Chla retrievals are based on a revised version of the empirical OC-PFT algorithm (Hirata et al. 2011) applied to the Ocean Colour Climate Change Initiative (OC-CCI) total Chla product. The PhytoDOAS analytical algorithm (Bracher et al. 2009, Sadeghi et al. 2012) is used with some modifications to derive PFT Chla from SCIAMACHY hyperspectral measurements. To combine synergistically these two PFT products (OC-PFT and PhytoDOAS), an optimal interpolation is performed for each PFT in every OC-PFT sub-pixel within a PhytoDOAS pixel, given its Chla and its a priori error statistics. The synergistic product (SynSenPFT) is presented for the period of August 2002 ? March 2012 and evaluated against in situ HPLC pigment data and satellite information on phytoplankton size classes (PSC) (Brewin et al. 2010, Brewin et al. 2015) and the size fraction (Sf) by Ciotti and Bricaud (2006. The most challenging aspects of the SynSenPFT algorithm implementation are discussed. Perspectives on SynSenPFT product improvements and prolongation of the time series over the next decades by adaptation to Sentinel multi- and hyperspectral instruments are highlighted.
    Keywords: AC3; Arctic Amplification
    Type: Dataset
    Format: application/zip, 3 datasets
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    DATA PANGAEA
  • 8
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    Global monthly mean chlorophyll a surface concentrations from August 2002 to April 2012 for diatoms, coccolithophores and cyanobacteria from PhytoDOAS algorithm version 3.3 applied to SCIAMACHY data, link to NetCDF files in ZIP archive (2017)
    PANGAEA
    Details
    Publication Date: 2024-05-11
    Description: This phytoplankton group (PFT) concentration a (Chl a) data are output from the algorithm PhytoDOAS version 3.3 applied to SCIAMACHY data from 2 Aug 2002 to 8 Apr 2012. Data have been gridded monthly on 0.5° latitude to 0.5°. For cyanobacteria (includes all prokaryotic phytoplankton) and diatoms the PhytoDOAS PFT retrieval algorithm by Bracher et al. (2009) and for coccolithophores the algorithm by Sadeghi et al. (2012) have been used. However, these methods have slightly been improved which includes: - Data during SCIAMACHY instrument decontamination are excluded in the analysis. - SCIAMACHY level-1b input data for PhytoDOAS are now version 7.04 data (instead of version 6.0). - The wavelength window for all three phytoplankton groups (PFTs) fit factor starts at 427.5 nm (instead of 429 nm). - Coccolithophores fit factors are retrieved in a retrieval fitting simultaneously diatoms and coccolithophores (instead of a triple fit with also fitting dinoflagellates as in Sadeghi et al. 2012). - Vibrational Raman Scattering (VRS) is now fitted directly in the blue spectrum (450 to 495 nm), following Dinter et al. (2015), (instead of in the UV—A region as in Vountas et al. 2007) except that here the daily solar background spectrum measured by SCIAMACHY and the VRS pseudo absorption spectrum calculated based on a SCIAMACHY solar spectrum following Vountas et al. (2007) was used in order to correct for the variation of instrumental effects over time (this is not achieved when using the RTM simulated background spectrum as done in Dinter et al. 2015). - The PFT Chl a are derived from the ratio of the PFT fit factor to the VRS fit factor multiplied by a LUT (Look Up Table). The LUT is based on radiative transfer model (RTM) SCIATRAN simulations (see Rozanov et al. 2014) accounting also for changing solar zenith angle (SZA).
    Keywords: AC3; Arctic Amplification
    Type: Dataset
    Format: application/zip, 109.9 MBytes
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    DATA PANGAEA
  • 9
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    Assessing bio-physical feedbacks in the Arctic Ocean under Arctic amplification (2019)
    EGU
    In:  EPIC3EGU General Assembly 2019, Vienna, Austria, 2019-04-07-2019-04-12EGU
    Details
    Publication Date: 2020-09-01
    Description: Optically active water constituents can strongly attenuate in-water penetrative radiation and affect the upper ocean heat content. Arctic rivers supply the Arctic Ocean with a considerable amount of highly-absorbing organic material which is expected to increase, as a result of thawing permafrost in Siberia. Here, we investigate the effect of the variability of optically active water constituents on the heat budget of the Arctic Ocean. As a first step, we simulate locally the radiative heating by means of coupled atmosphere-ocean radiative transfer modelling (RTM SCIATRAN). By using satellite remote sensing retrievals of Coloured Dissolved Organic Matter (CDOM), Total Suspended Matter (TSM), Chlorophyll-a (Chl-a) and sea surface temperature data as input to the RTM simulations, we present the spatial distribution of potential radiative heating in the Laptev Sea. For upscaling, we use an ocean biogeochemical model coupled to a general circulation model (Darwin-MITgcm) to simulate the dynamics of the different constituents in response to Arctic amplification. We further set up the general circulation model to take into account the biogeochemical processes so that their feedback on Arctic Ocean’s surface heating, stratification and sea ice melting can be assessed. Results show that high concentration of CDOM, TSM and Chl-a in Arctic waters increase the heating rate at the surface of the ocean and affect the heat fluxes to the atmosphere. The induced surface heating result in higher ice melting rates with potential implications to upper ocean stratification and primary production.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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    PAPER (OA)
  • 10
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    Investigating the phytoplankton diversity in the Great Calcite Belt: perspective from modelling and satellite retrievals (2018)
    In:  EPIC3Ocean Optics Conference XXIV, Dubrovnik (Croatia), 2018-10-07-2018-10-12
    Details
    Publication Date: 2018-11-12
    Description: This study highlights benefits and challenges of applying coupled physical/biogeochemical modeling and the synergistic use of different satellite retrieval algorithms for investigating the phytoplankton diversity in the Great Calcite Belt. This area is of great interest for understanding biogeochemical cycling and ecosystem functioning under present climate changes observed in the Southern Ocean. Our coupled model simulations of the phenology of various Phytoplankton Functional Types (PFTs) are based on a version of the Darwin biogeochemical model (Dutkiewicz et al., 2015) coupled to the MITgcm circulation model (MITgcm Group 2012), where both - the physical and biogeochemical modules - are adapted for the Southern Ocean. As satellite-based PFT information, we consider products of the PhytoDOAS (Bracher et al. 2009, Sadeghi et al. 2012) using SCIAMACHY and OMI hyper-spectral optical satellite measurements. We also address aspects of combining this information synergistically (SynSenPFT, Losa et al. 2017) with the phytoplankton composition retrieved with OC-PFT (Hirata et al. 2011, Soppa et. al. 2014, 2016) based on multi-spectral optical satellite data (OC-CCI) and obtained by numerical modelling to allow for long time-series on the Southern Ocean phytoplankton diversity. To evaluate the satellite retrievals and model simulations we use in situ PFTs obtained a diagnostic pigment analysis (Soppa et al., 2017) as well as by scanning electron microscopy (Smith et al., 2017).
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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