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Erster Europaeischer Kongress: 'Erneuerbare Energien fuer Regionen und Staedte im Verbund mit der Messe regeneratio'96'

Gebirgsbeobachtung und geologische Erkundung in und an der Asse-Salzstruktur

Die Messungen im erweiterten Festpunktnetz zur Erfassung der Gebirgsbewegungen im Grubengebaeude werden fortgesetzt. Die Untersuchungen zu einer moeglichen Subrosion oder einem Salzauftrieb am Asse-Sattel werden durch die Einrichtung einer ca. 1 km langen Festpunktlinie entlang der neuen Eisenbahntrasse erweitert. Zur Erkundung der Salzstruktur werden geophysikalische Methoden eingesetzt. Die geologischen Detailuntersuchungen fuer die versuchsweise Einlagerung von hochaktiven Abfaellen werden fortgefuehrt. Im Rahmen der Umgebungsueberwachung werden Proben aus der Umgebung und aus Kontrollbereichen gammaspektroskopisch analysiert.

Unterstuetzung von Fachveranstaltungen zur Umwelterfindermesse 'econova'

Butterfly abundance data from lower mountain range regions in southwest Germany

The dataset contains abundance data of butterfly species and noctuid moths in five different Malaise trap types which were placed as a defined set each on a meadow and a forest clearing site in three regions of Germany: Hunsrueck (National Park Hunsrueck-Hochwald), Spessart (Rhine-Main-Observatory) and Steigerwald. Abundances of noctuid moths were recorded per size class. Butterfly data covers weeks from the end of May to the beginning of September 2020. The data was collected to perform a trap comparison between the Malaise trap types which were a large Townes trap with a white roof, a large Townes trap with a black roof, a smaller Townes trap with a black roof, a dark Bartak trap with a conventional capture bottle and a dark Bartak trap with an eclector bottle. Part of the specimen collected was used for DNA-metabarcoding. The other part was deposited in the specimen collection of the Environmental Campus Birkenfeld (Trier University of Applied Sciences). With our study, we aimed to reveal possible differences in butterfly species capture with different types of Malaise traps and the implications for total insect biomass of the samples.

Butterfly weight data from lower mountain range regions in southwest Germany

The dataset contains mean masses of butterfly species and different noctuid moth size classes collected between end of May and beginning of September 2020 using different Malaise traps in three low mountain range regions in Germany: Hunsrueck (National Park Hunsrueck-Hochwald), Spessart (Rhine-Main-Observatory) and Steigerwald. The butterflies were stored in alcohol after their capture and were weighed with a precision scale (0.001 g) after shaking them briefly to remove residual alcohol. Part of the specimen collected was used for DNA-metabarcoding. The other part was deposited in the specimen collection of the Environmental Campus Birkenfeld (Trier University of Applied Sciences).

GFZ/ITSG Level-3 Products Terrestrial Water Storage Anomalies

GRACE/GRACE-FO Level-3 product based on GFZ RL06 Level-2B products (Dahle & Murböck, 2019) and ITSG-Grace2018/ITSG-Grace_operational VDK3 filtered (citation) representing Terrestrial Water Storage (TWS) anomalies provided at 1° latitude-longitude grids as defined over all continental regions except Greenland and Antarctica. The TWS anomaly grids are provided in NetCDF format. The files each contain two different variables: 1) 'tws': gravity-based TWS 2) 'std_tws': gravity-based TWS uncertainties This data set is basis of Boergens and Kvas (2021) and have been used in Boergens et al. (2021) to produce regional time series and their uncertainties, which can be reproduced with the code provided by Boergens (2021).

ITSG-Grace2018/ ITSG-Grace_operational Level-L2B Products Filtered Stokes coefficients

Filtered GRACE/GRACE-FO spherical harmonic coefficients of ITSG-Grace2018/ITSG-Grace_operational Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. The spherical harmonic coefficients are filtered with VDK3 filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)). The filtered spherical harmonic coefficients are accompanied by their variance-covariance matrices which are gained via variance propagation from the variance-covariance matrices of the unfiltered coefficients. This data set is basis of Boergens and Kvas (2021) and have been used in Boergens et al. (2021) to produce regional time series and their uncertainties, which can be reproduced with the code provided by Boergens (2021).

COST-G GravIS RL01 Continental Water Storage Anomalies

Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Boergens et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 product based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing Terrestrial Water Storage (TWS) anomalies provided at 1° latitude-longitude grids as defined over all continental regions except Greenland and Antarctica. The TWS anomaly grids are provided in NetCDF format divided into yearly batches. The files each contain four different variables:1) 'tws': gravity-based TWS2) 'std_tws': gravity-based TWS uncertainties3) 'leakage': spatial leakage contained in TWS4) 'model_atmosphere': background model atmospheric massThese Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/TWS

COST-G GravIS RL01 Ice-Mass Change Products

Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Sasgen et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 products based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing ice-mass changes for the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). The ice-mass changes are provided both as basin average product and as gridded product.Basin-average ice-mass changes are obtained using the inversion procedure based on a forward modelling approach as described in Sasgen et al. (2013) for the AIS and Sasgen et al. (2012) for the GIS.Gridded ice-mass changes are provided at polar-stereographic grids with a grid spacing of 50 x 50 km^2. The applied algorithm is based on tailored sensitivity kernels (Groh & Horwath, 2016), and has also been used to generate gravimetric mass balance products within the ESA Climate Change Initiative (CCI) projects for the AIS and the GIS.These Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de).Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/ICE

COST-G GravIS RL01 Ocean Bottom Pressure Anomalies

Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Dobslaw et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 product based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing Ocean Bottom Pressure (OBP) variations provided at 1° latitude-longitude grids as defined over ocean areas. The OBP grids are provided in NetCDF format divided into yearly batches. The files each contain seven different variables:1) 'barslv': gravity-based barystatic sea-level pressure2) 'std_barslv': gravity-based barystatic sea-level pressure uncertainties3) 'resobp': gravity-based residual ocean circulation pressure resobp4) 'std_resobp': gravity-based residual ocean circulation pressure uncertainties5) 'leakage': apparent gravity-based bottom pressure due to continental leakage6) 'model_ocean': background-model ocean circulation pressure7) 'model_atmosphere': background-model atmospheric surface pressureThese Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/OBP

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