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  • 1
    Publication Date: 2021-10-05
    Description: Abstract
    Description: These are maps of artificial night sky radiance that were produced by the Light Pollution Science and Technology Institute (ISTIL), and described in the paper "The New World Atlas of Artificial Night Sky Brightness" (Falchi et al. 2016).The data are stored in a 2.9 Gb geotiff file, on a 30 arcsecond grid. The map reports simulated zenith radiance data in [mcd/m^2]. The map is based on data from the VIIRS Day Night Band (DNB, MIller et al. 2013), which has been propagated through the atmosphere using the radiative transfer code reported in (Cinzano and Falchi, 2012). The upward emission function and the radiance calibration were obtained using data from Sky Quality Meters (including data from Duriscoe et al. 2007; Falchi 2010; Kyba et al 2013, 2015 and Zamorano et al. 2016).Note that the maps report artificial light only! The zenith radiance from natural sources such as stars and the Milky Way are not included, and must be added in order to match the data that would be obtained from an actual outdoor measurement.A kmz file for quick view of the data is also provided. Access to the FTP site to download the data can be requested via the data request form on the landing page.Version History:13 November 2019: change of the licence to CC BY NC 4.0 (after end of embargo period).
    Description: Other
    Description: Artificial lights raise the night sky luminance, creating the most visible effect of light pollution, artificial sky glow. Despite the increasing interest among scientists in fields such as ecology, astronomy, healthcare, land use planning, light pollution lacks a current quantification of its magnitude on a global scale. To overcome this, here we present the World atlas of the artificial sky luminance, computed with our light pollution propagation software using new high resolution satellite data and new precision sky brightness measurements. This atlas shows that more than 80% of the World and more than 99% of the U.S.A. and Europe populations live under light polluted skies. The Milky Way is hidden for more than one third of humanity, including 60% of Europeans and nearly 80% of North Americans. Moreover, 23% of World's lands between 75°N and 60°S, 88% of Europe and almost half of U.S.A. experience light polluted nights.
    Keywords: artificial light ; ALAN ; skyglow ; light pollution ; atlas ; night ; radiative transfer ; Suomi NPP ; Sky Quality Meter ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 VISUALIZATION/IMAGE PROCESSING
    Language: English
    Type: Dataset , Dataset
    Format: 26001739 Bytes
    Format: 1 Files
    Format: application/octet-stream
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  • 2
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Earthquake Early Warning and Rapid Response Systems (EEWRRS) should be a viable complement to other disaster risk reduction strategies, particularly in economically developing countries. The „Early Warning and Impact Forecasting“ group (GFZ, section 2.6) is actively involved in the development of novel strategies to develop scientific and technological solutions that may be efficiently applied in countries with limited resources. The proposed solution includes a risk estimation module that extracts from a portfolio of precomputed impact scenarios those matching the characterization of the event detected by an optimized real-time monitoring network. The real-time network integrates both local, on-site components based on low-cost, smart sensor platforms, as well as regional, sparse strong-motion stations. This hybrid solution allows for the optimization of the lead-time and is tailored to the seismotectonic features of the considered region. A prototype EEWRR System is being developed for the Kyrgyz Republic, with the support of the partner CAIAG and in collaboration with the Ministry of Emergency Solutions of the Government of the Kyrygz Republic (MES). Waveform data are available from the GEOFON data centre, under network code AD.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: 〉1T
    Format: .mseed
    Format: XML
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  • 3
    Publication Date: 2023-02-08
    Description: Abstract
    Description: Building monitoring and decentralized, on-site Earthquake Early Warning system for the Kyrgyz capital Bishkek. Several low cost sensors equipped with MEMS accelerometers have been installed in eleven buildings within the urban area of the city. The different sensing units communicate with each other via wireless links and the seismic data are streamed in real-time to data centres at GFZ and the Central Asian Institute for Applied Geoscience (CAIAG) using internet. Since each sensing unit has its own computing capabilities, software for data processing can be installed to perform decentralised actions. In particular, each sensing unit can perform event detection tasks and run software for on-site early warning. If a description for the vulnerability of the building is uploaded to the sensing unit, this can be exploited to introduce the expected probability of damage in the early-warning protocol customized for a specific structure. Waveform data are available from the GEOFON data centre, under network code KD.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; seismic hazard ; broad band ; velocity ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: 〉1T
    Format: .mseed
    Format: XML
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  • 4
    Publication Date: 2023-07-31
    Description: Abstract
    Description: The SWATH-D experiment is dense deployment of 154 seismic stations in the Central and Eastern Alps between Italy and Austria, complementing the larger-scale sparser AlpArray Seismic Network (AASN). SWATH-D will provide high resolution images from the surface into the upper mantle, and allow observations of local seismicity. SWATH-D focuses on a key area of the Alps where the hypothesized flip in subduction polarity has been suggested, and where an earlier seismic profile (TRANSALP) has imaged a jump in the Moho. Where mains power is available (at ca. 80 sites) stations are providing realtime data via the cellphone network and are equipped with Güralp CMG-3EPSC (60s) seismometers and Earth Data Recorders EDR-210. The rest of the stations are offline and consist mainly of Nanometrics Trillium Compact (120s) and Güralp CMG-3EPSC (60s) seismometers equipped with either Omnirecs CUBE3 or PR6-24 Earth Data Loggers. All stations are equipped with external GPS antennas and the sampling rate is 100 Hz (Heit, et al., 2018). The network will operate for 2 years starting in July 2017. The Swath-D data will be used directly by 20 individual proposals of the MB-4D Priority Program (Mountain Building Processes in Four Dimensions, 2017) of the German Research Foundation (DFG) and data products derived from it will contribute to additional 13 proposals. SWATH-D is thus an important link between the MB-4D Priority Program and the international AlpArray communities and a scientific service to many of the proposals within the DFG Priority Program. Waveform data are available from the GEOFON data centre, under network code ZS, and are embargoed until August 2023. After the end of embargo, data will be openly available under CC-BY 4.0 license according to GIPP-rules.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; EARTH SCIENCE SERVICES 〉 DATA MANAGEMENT/DATA HANDLING 〉 DATA SEARCH AND RETRIEVAL ; EARTH SCIENCE SERVICES 〉 DATA MANAGEMENT/DATA HANDLING 〉 ARCHIVING ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS ; seismology
    Type: Dataset , Seismic Network
    Format: ~1T
    Format: .mseed
    Format: XML
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