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  • 1
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    OH level populations and accuracies of Einstein-A coefficients from hundreds of measured lines (2020)
    Copernicus
    Details
    Publication Date: 2020-05-06
    Description: OH airglow is an important nocturnal emission of the Earth's mesopause region. As it is chemiluminescent radiation in a thin medium, the population distribution over the various roto-vibrational OH energy levels of the electronic ground state is not in local thermodynamic equilibrium (LTE). In order to better understand these non-LTE effects, we studied hundreds of OH lines in a high-quality mean spectrum based on observations with the high-resolution Ultraviolet and Visual Echelle Spectrograph at Cerro Paranal in Chile. Our derived populations cover vibrational levels between v=3 and 9, rotational levels up to N=24, and individual Λ-doublet components when resolved. As the reliability of these results critically depends on the Einstein-A coefficients used, we tested six different sets and found clear systematic errors in all of them, especially for Q-branch lines and individual Λ-doublet components. In order to minimise the deviations in the populations for the same upper level, we used the most promising coefficients from Brooke et al. (2016) and further improved them with an empirical correction approach. The resulting rotational level populations show a clear bimodality for each v, which is characterised by a probably fully thermalised cold component and a hot population where the rotational temperature increases between v=9 and 4 from about 700 to about 7000 K, and the corresponding contribution to the total population at the lowest N decreases by an order of magnitude. The presence of the hot populations causes non-LTE contributions to rotational temperatures at low N, which can be estimated quite robustly based on the two-temperature model. The bimodality is also clearly indicated by the dependence of the populations on changes in the effective emission height of the OH emission layer. The degree of thermalisation decreases with increasing layer height due to a higher fraction of the hot component. Our high-quality population data are promising with respect to a better understanding of the OH thermalisation process.
    Print ISSN: 1680-7316
    Electronic ISSN: 1680-7324
    Topics: Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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    PAPER CURRENT
  • 2
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    Finding Atmospheric Composition (AC) Metadata (2015)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The Atmospheric Composition Portal (ACP) is an aggregator and curator of information related to remotely sensed atmospheric composition data and analysis. It uses existing tools and technologies and, where needed, enhances those capabilities to provide interoperable access, tools, and contextual guidance for scientists and value-adding organizations using remotely sensed atmospheric composition data. The initial focus is on Essential Climate Variables identified by the Global Climate Observing System CH4, CO, CO2, NO2, O3, SO2 and aerosols. This poster addresses our efforts in building the ACP Data Table, an interface to help discover and understand remotely sensed data that are related to atmospheric composition science and applications. We harvested GCMD, CWIC, GEOSS metadata catalogs using machine to machine technologies - OpenSearch, Web Services. We also manually investigated the plethora of CEOS data providers portals and other catalogs where that data might be aggregated. This poster is our experience of the excellence, variety, and challenges we encountered.Conclusions:1.The significant benefits that the major catalogs provide are their machine to machine tools like OpenSearch and Web Services rather than any GUI usability improvements due to the large amount of data in their catalog.2.There is a trend at the large catalogs towards simulating small data provider portals through advanced services. 3.Populating metadata catalogs using ISO19115 is too complex for users to do in a consistent way, difficult to parse visually or with XML libraries, and too complex for Java XML binders like CASTOR.4.The ability to search for Ids first and then for data (GCMD and ECHO) is better for machine to machine operations rather than the timeouts experienced when returning the entire metadata entry at once. 5.Metadata harvest and export activities between the major catalogs has led to a significant amount of duplication. (This is currently being addressed) 6.Most (if not all) Earth science atmospheric composition data providers store a reference to their data at GCMD.
    Keywords: Meteorology and Climatology; Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN28738 , AGU Fall Meeting; Dec 14, 2015 - Dec 18, 2015; San Francisco, CA; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    Data Management at the ICSU/WMO World Data Center for Remote Sensing of the Atmosphere (WDC-RSAT) (2010)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-14
    Description: Abstract
    Description: WDC-RSAT is hosted and operated by the German Remote Sensing Data Center, DFD of the German Aerospace Center (DLR) under the nongovernmental auspices of the International Council for Science (ICSU) and is the most recent data center in the WMO-WDC family, in cooperation with the World Meteorological Organization (WMO). WDC-RSAT cooperates with partners in establishing and making use of modern information technologies (e.g. Grid) in order to promote networking. It is already being implemented as a data publication agent for data related to remote sensing of the atmosphere and is thus authorized to assign so-called Digital Object Identifiers (DOI) to data sets. The German ICSU WDCs (WDC-Climate, WDC-Mare, WDC-Terra, and WDC-RSAT) have formed in 2004 the 'WDC-Cluster on Earth System Research' in order to promote interdisciplinary research related to Earth sciences. Following the recommendations of the Committee of Earth Observation Satellites (CEOS), WDC-RSAT is currently establishing in cooperation with NASA a portal for satellite-based atmospheric composition data (ACC) which ultimately will be integrated in the Global Earth Observation System of Systems (GEOSS).
    Description: SeriesInformation
    Description: Proceedings of the Data Management Workshop, 29-30 October 2009, University of Cologne, Germany, Kölner Geographische Arbeiten, 90, pp. 119-125
    Keywords: Data Management ; Metadata ; Remote Sensing ; Atmosphere
    Language: English
    Type: Text , Workshop paper
    Format: 495 Kilobytes
    Format: 7 Pages
    Format: application/pdf
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    DATA GFZ
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