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  • 2015-2019  (2)
  • 1
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    Tropospheric Ozone Assessment Report, links to Global surface ozone datasets (2017)
    PANGAEA
    In:  Supplement to: Schultz, Martin G; Schröder, Sabine; Lyapina, Olga; Cooper, Owen R; Galbally, Ian; Petropavlovskikh, Irina; von Schneidemesser, Erika; Tanimoto, Hiroshi; Elshorbany, Yasin; Naja, Manish; Seguel, Rodrigo J; Dauert, Ute; Eckhardt, Paul; Feigenspan, Stefan; Fiebig, Markus; Hjellbrekke, Anne-Gunn; Hong, You-Deog; Kjeld, Peter Christian; Koide, Hiroshi; Lear, Gary; Tarasick, David; Ueno, Mikio; Wallasch, Markus; Baumgardner, Darrel; Chuang, Ming-Tung; Gillett, Robert; Lee, Meehye; Molloy, Suzie; Moolla, Raeesa; Wang, Tao; Sharps, Katrina; Adame, Jose A; Ancellet, Gerard; Apadula, Francesco; Artaxo, Paulo; Barlasina, Maria E; Bogucka, Magdalena; Bonasoni, Paolo; Chang, Limseok; Colomb, Aurelie; Cuevas-Agulló, Emilio; Cupeiro, Manuel; Degorska, Anna; Ding, Aijun; Fröhlich, Marina; Frolova, Marina; Gadhavi, Harish; Gheusi, Francois; Gilge, Stefan; Gonzalez, Margarita Y; Gros, Valérie; Hamad, Samera H; Helmig, Detlev; Henriques, Diamantino; Hermansen, Ove; Holla, Robert; Hueber, Jacques; Im, Ulas; Jaffe, Daniel A; Komala, Ninong; Kubistin, Dagmar; Lam, Ka-Se; Laurila, Tuomas; Lee, Haeyoung; Levy, Ilan; Mazzoleni, Claudio; Mazzoleni, Lynn R; McClure-Begley, Audra; Mohamad, Maznorizan; Murovec, Marijana; Navarro-Comas, Monica; Nicodim, Florin; Parrish, David; Read, Katie Alana; Reid, Nick; Ries, Ludwig; Saxena, Pallavi; Schwab, James J; Scorgie, Yvonne; Senik, Irina; Simmonds, Peter; Sinha, Vinayak; Skorokhod, Andrey I; Spain, Gerard; Spangl, Wolfgang; Spoor, Ronald; Springston, Stephen R; Steer, Kelvyn; Steinbacher, Martin; Suharguniyawan, Eka; Torre, Paul; Trickl, Thomas; Weili, Lin; Weller, Rolf; Xu, Xiaobin; Xue, Likun; Ma, Zhiqiang (2017): Tropospheric Ozone Assessment Report: Database and Metrics Data of Global Surface Ozone Observations. Elementa - Science of the Anthropocene, 5:58, 26 pp, https://doi.org/10.1525/elementa.244
    Details
    Publication Date: 2023-11-18
    Description: In support of the first Tropospheric Ozone Assessment Report (TOAR) a relational database of global surface ozone observations has been developed and populated with hourly measurement data and enhanced metadata. A comprehensive suite of ozone metrics products including standard statistics, health and vegetation impact metrics, and trend information, are made available through a common data portal and a web interface. These data form the basis of the TOAR analyses focusing on human health, vegetation, and climate relevant ozone issues, which are part of this special feature. By combining the data from almost 10,000 measurement sites around the world with global metadata information, new analyses of surface ozone have become possible, such as the first globally consistent characterisations of measurement sites as either urban or rural/remote. Exploitation of these global metadata allow for new insights into the global distribution, and seasonal and long-term changes of tropospheric ozone. Cooperation among many data centers and individual researchers worldwide made it possible to build the world's largest collection of in-situ hourly surface ozone data covering the period from 1970 to 2015. Considerable effort was made to harmonize and synthesize data formats and metadata information from various networks and individual data submissions. Extensive quality control was applied to identify questionable and erroneous data, including changes in apparent instrument offsets or calibrations. Such data were excluded from TOAR data products. Limitations of a posteriori data quality assurance are discussed. As a result of the work presented here, global coverage of surface ozone data has been significantly extended. Yet, large gaps remain in the surface observation network both in terms of regions without monitoring, and in terms of regions that have monitoring programs but no public access to the data archive. Therefore future improvements to the database will require not only improved data harmonization, but also expanded data sharing and increased monitoring in data-sparse regions.
    Keywords: TOAR; Tropospheric Ozone Assessment Report
    Type: Dataset
    Format: application/zip, 7 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Chronostratigraphy of the Hochterrassen in the lower Lech valley (Northern Alpine Foreland) (2015)
    Geozon Science Media
    Details
    Publication Date: 2021-05-06
    Description: Hochterrassen (High or Higher Terraces) are a prominent geomorphological feature of the Northern Alpine Foreland and have traditionally been attributed to the Rissian glaciation. However, distinct morphological sublevels observed for this feature have often raised the question of their age. This issue is exemplarily investigated here on the Langweider and Rainer Hochterrassen in the lower Lech valley using different relative and numerical dating techniques. The lowest sublevel, the Übergangsterrasse is only preserved in small patches at the western rim of the Rainer Hochterrasse and is most probably of early Würmian age. The sublevel of the Jüngere Hochterrasse is older than the Last Interglacial, as indicated by luminescence ages of overlying loess/palaeosol sequence and the development of a luvisol on top of the terrace gravel. This terrace is composed of stacked gravel units that represent at least two accumulation phases correlating with Marine Isotope Stage (MIS) 6 for the top gravel and MIS 7 to MIS 10 (or older) for the basal gravel. It is not yet clear, if the deposition of the basal gravel unit corresponds to one or more aggradation phases during the Middle Pleistocene. The highest sublevel, the Ältere Hochterrasse also shows a compositon of two stacked gravel units but so far, no numerical ages have been achieved for these units.
    Description: research
    Keywords: 551.7 ; northern alpine foreland ; middle pleistocene ; luminescence dating ; Hochterrassen ; fluvial terraces
    Language: English
    Type: article , Verlagsversion
    Location Call Number Limitation Availability
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    CITATION GEO-LEO
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