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  • Data  (12,418)
  • 2015-2019  (12,418)
  • 2016  (12,418)
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  • 2015-2019  (12,418)
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  • 1
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    Supplement to: The New World Atlas of Artificial Night Sky Brightness (2016)
    GFZ Data Services
    Details
    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
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  • 2
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    Preface (2016)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The 2nd Data Management Workshop was held at the University of Cologne in November 2014. It was organized within the research data management activities of two large interdisciplinary research projects both funded by the German Research Foundation (DFG). Both projects actively supported the workshop. The Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation’ involves scientist from the fields of meteorology, hydrology, geography, geophysics, soil sciences and mathematics. The CRC806 ‘Our Way to Europe: Culture-Environment Interaction and Human Mobility in the Late Quaternary’ integrates scientists from the disciplines of prehistoric archaeology, geology, geography, geophysics and soil sciences. Organizing research data management of such diverse disciplines which are distributed over several universities and research centers faces several problems and challenges. Consequently, the main focus of the 2nd Data Management Workshop was to discuss solutions and approaches for interdisciplinary and disciplinary data management with other colleagues and experts of the field. The publication of the Special Issue on ‘Research Data Management’ of the ISPRS International Journal of Geo-Information (ISSN 2220-9964) emerged in the context of this workshop.
    Description: SeriesInformation
    Description: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. III-IV
    Keywords: Data Management ; Research Data
    Language: English
    Type: Text , Workshop paper
    Format: 2 Pages
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  • 3
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    Research Data Management within the E-Science Strategy in Baden-Württemberg - Preliminary Results of Project bwFDM-Communities (2016)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: The federal state of Baden-Württemberg wants to offer scientists the best conditions for research. Against the backdrop of the ever-increasing importance of data and information the bwFDM-Communities project is tasked to develop recommendations that shall enable scientists in our federal state to process and use data without barriers. In order to achieve this objective, we engage an active dialogue with all university research groups in Baden-Württemberg (~3000). Next to identifying and advertising best-practice solutions, this project is supposed to gather information on how federal IT support needs to be expanded in order to meet the increasing demands of future research. As this is an ongoing project there may be further results in time, but some early conclusions can be drawn: Scientists want clear-cut requirements and responsibilities for data management and are willing to share their data if there is a proper appreciation model for data publication. Additionally, a lot of scientists complain about too strict law regulations regarding copyright and need better information about available RDM support, partners and opportunities. Final conclusions and recommendations can only be given in the further course of the project, but we are confident that our final recommendations will help the scientists in Baden-Württemberg.
    Description: SeriesInformation
    Description: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 1-6
    Keywords: Data Management ; Research Data
    Language: English
    Type: Text , Workshop paper
    Format: 6 Pages
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  • 4
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    The TR32DB: A Research Data Management System for the CRC/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems’ (2016)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publication Date: 2022-01-12
    Description: Abstract
    Description: This paper introduces the CRC/TR32 database (TR32DB), a research data management system developed within the multidisciplinary research project Collaborative Research Centre/Transregio 32 (CRC/TR32) funded by the German Research Foundation (DFG). The aim of the TR32DB is to support collative research within the whole project by providing data storage, backup, archive, documentation, publication and also sharing services. The entire system is self-developed according to the requirements of the funding agency, the user and project demands, as well as according to recent principles and standards. The TR32DB system architecture is basically a combination of data storage (file management), database and web-interface. In addition, the TR32DB Metadata Schema was designed and implemented to describe all project data with accurate metadata. A user-friendly multi-level approach was chosen to cover the requirements of all data stored in the TR32DB with appropriate metadata.
    Description: SeriesInformation
    Description: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 7-15
    Keywords: Data Management ; Metadata ; Research Data
    Language: English
    Type: Text , Workshop paper
    Format: 9 Pages
    Format: 1802 Kilobytes
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  • 5
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    GFZ VER11 SLCCI precise orbits of altimetry satellites ERS-1, ERS-2, Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 in the ITRF2008 (2016)
    GFZ Data Services
    Details
    Publication Date: 2022-01-17
    Description: Abstract
    Description: The data set provides GFZ VER11 orbits of altimetry satellitesERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015)TOPEX/Poseidon (September 23, 1992 - October 8, 2005),derived at the time spans given at Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the same (ITRF2008) terrestrial reference frame for all satellites using common, most precise models and standards available and described below.The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations.The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c, ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM stands for month and DD stands for day of the beginning of the file.More details on these orbits are provided in Rudenko et al. (2017)
    Keywords: Jason-1 ; Jason-2 ; ERS-1 ; ERS-2 ; Envisat ; ESA CCI Sea Level ; Altimetry satellite ; Low Earth Orbit satellites ; sea level ; TOPEX/POSEIDON ; ITRF2008 ; Earth Remote Sensing Instruments 〉 Active Remote Sensing 〉 Altimeters 〉 Radar Altimeters ; equipment 〉 artificial satellite 〉 observation satellite ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 SATELLITE ORBITS/REVOLUTION 〉 ORBITAL POSITION ; EARTH SCIENCE 〉 OCEANS 〉 SEA SURFACE TOPOGRAPHY 〉 SEA SURFACE HEIGHT
    Language: English
    Type: Dataset
    Format: 6 Files
    Format: application/octet-stream
    Format: application/octet-stream
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  • 6
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    Neusling (Landau a.d. Isar) 2012 - A Multitemporal and Multisensoral Agricultural EnMAP Preparatory Flight Campaign (Datasets) (2016)
    GFZ Data Services
    Details
    Publication Date: 2022-03-11
    Description: Abstract
    Description: This data collection contains a multitemporal series of six airborne hyperspectral image mosaics acquired during the growing season of 2012 over the Neusling test area near Landau a.d. Isar in Southern Germany. The airborne hyperspectral data is complemented by accompanying in-situ data acquired parallel to the overflights. The dataset is composed of a) four airborne hyperspectral image mosaics acquired during overflights on April 28th 2012, May 25th 2012, June 16th 2012 and September 8th 2012 with the AVIS-3 imaging spectrometer. The AVIS data consists of 197 spectral bands, ranging from VIS to SWIR (477 - 1704 nm); b) two airborne hyperspectral image mosaics acquired during overflights, which were conducted by the DLR user service OpAiRS (www.dlr.de/opairs) on May 8th 2012 and August 14th 2012 with a HySpex imaging spectrometer. The HySpex data consists of 332 spectral bands, ranging from VIS to SWIR (417 - 2496 nm); c) spatially comprehensive land use/land cover maps generated from in-situ observations for two time-windows during the growing season of 2012 (May and August); d) Flight-parallel in-situ point-measurements consisting of: i) non-destructively measured leaf area index of winter wheat, winter barley, sugar beet, maize and rapeseed (561 measurements incl. standard deviations), ii) SPAD chlorophyll measurements (522 measurements incl. standard deviations), iii) 557 soil moisture measurements incl. standard deviations iv) 539 phenological observations v) 499 measurements of canopy height incl. standard deviations and vi) 38 measurements of plant density. The dataset was collected in order to cover the seasonal dynamics in the development of agricultural crops in Southern Germany.Version History: Correct Acquisition date of the second HySpex flight was August 14th 2012, not August 12th 2012.
    Description: Other
    Description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Keywords: Hyperspectral Imagery ; Field Spectroscopy ; Agriculture ; LAI
    Language: English
    Type: Dataset , Dataset
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  • 7
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    Climatologies at high resolution for the earth's land surface areas (Version 1.0) (2016)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: CHELSA_v1.0 (http://chelsa-climate.org/) is a high resolution (30 arc sec, ~1 km) climate data set for the earth land surface areas. Version 1.0 is a first release. It includes monthly and annual mean temperature and precipitation patterns for the time period 1979-2013. CHELSA_v1 is based on a quasi-mechanistical statistical downscaling of the ERA interim global circulation model (http://www.ecmwf.int/en/research/climate-reanalysis/era-interim) with a GPCC (https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) and GHCN (https://www.ncdc.noaa.gov/ghcnm/) bias correction. Specifications: High resolution (30 arcsec, ~1 km) Precipitation & Temperature Monthly coverage 1979 - 2013 Incorporation of topoclimate (e.g. orographic rainfall & wind fields). Downscaled ERA-interim model. Allows calculation of derived parameters based on monthly values such as length of dry periods etc.
    Type: experiment
    Format: GeoTIFF
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  • 8
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    Climatologies at high resolution for the earth's land surface areas (Version 1.1) (2016)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: CHELSA_v1.1 (http://chelsa-climate.org/) is a high resolution (30 arc sec, ~1 km) climate data set for the earth land surface areas. It includes monthly and annual mean temperature and precipitation patterns as well as derived bioclimatic and interannual parameters for the time period 1979-2013. CHELSA_v1.1 is based on a quasi-mechanistical statistical downscaling of the ERA interim global circulation model (http://www.ecmwf.int/en/research/climate-reanalysis/era-interim) with a GPCC (https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) and GHCN (https://www.ncdc.noaa.gov/ghcnm/) bias correction.
    Type: experiment
    Format: zip-file
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  • 9
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    coastDat-2 WAM-North_Sea (2016)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This is a North Sea wave hindcast for the period 1949-2014. The simulation has been performed with the wave model WAM Version 4.5.4. The model domain covers the area from 51N to 59N and 4.75W to 13E, with a spatial resolution of 0.05 degree latitude x 0.075 degree longitude (approx. 3 by 3 nautical miles). Integrated parameter derived from 2D spectra are available every hour. Atmospheric forcing was obtained from an atmospheric hindcast with COSMO-CLM (doi:10.1594/WDCC/coastDat-2_COSMO-CLM) driven by the NCEP/NCAR Reanalysis 1 data set. Lateral boundary conditions were obtained from corresponding coarse grid hindcast covering most of the Northeast Atlantic driven by the same atmospheric forcing.
    Type: experiment
    Format: NetCDF
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  • 10
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    eVolv2k_v1: an ice-core based volcanic stratospheric sulfur injection database (2016)
    WDCC
    Details
    Publication Date: 2022-04-25
    Description: This dataset contains ice core-based estimates of volcanic stratospheric sulfur injections covering the years 500 BCE to 1900 CE. Ice core-derived volcanic sulfate deposition composites for Antarctica (Sigl et al., 2014) and Greenland (Sigl et al., 2015) are scaled to volcanic stratospheric sulfur injection based on a method similar to that of Gao et al., (2007). Sigl, M., Winstrup, M., McConnell, J. R., Welten, K. C., Plunkett, G., Ludlow, F., Büntgen, U., Caffee, M., Chellman, N., Dahl-Jensen, D., Fischer, H., Kipfstuhl, S., Kostick, C., Maselli, O. J., Mekhaldi, F., Mulvaney, R., Muscheler, R., Pasteris, D. R., Pilcher, J. R., Salzer, M., Schüpbach, S., Steffensen, J. P., Vinther, B. M. and Woodruff, T. E.: Timing and climate forcing of volcanic eruptions for the past 2,500 years, Nature, 523, 543-549, doi:10.1038/nature14565, 2015. Sigl, M., McConnell, J. R., Toohey, M., Curran, M., Das, S. B., Edwards, R., Isaksson, E., Kawamura, K., Kipfstuhl, S., Krüger, K., Layman, L., Maselli, O. J., Motizuki, Y., Motoyama, H., Pasteris, D. R. and Severi, M.: Insights from Antarctica on volcanic forcing during the Common Era, Nat. Clim. Chang., 4, 693-697, doi:10.1038/nclimate2293, 2014. Gao, C., Oman, L., Robock, A. and Stenchikov, G. L.: Atmospheric volcanic loading derived from bipolar ice cores: Accounting for the spatial distribution of volcanic deposition, J. Geophys. Res., 112(D9), doi:10.1029/2006JD007461, 2007.
    Type: experiment
    Format: NetCDF
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