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

Unterstuetzung von Fachveranstaltungen zur Umwelterfindermesse 'econova'

Post-processed GRACE/GRACE-FO Geopotential GSM Coefficients COST-G RL02 (Level-2B Product)

Post-processed GRACE/GRACE-FO spherical harmonic coefficients of COST-G RL02 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20 and C30 (only for the months within the period from 2016/11 through 2017/06) and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans. These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products. There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names: - 'NFIL': Level-2B product is not filtered - 'VDK1': Level-2B product is filtered with VDK1 - 'VDK2': Level-2B product is filtered with VDK2 - 'VDK3': Level-2B product is filtered with VDK3 - 'VDK4': Level-2B product is filtered with VDK4 - 'VDK5': Level-2B product is filtered with VDK5 - 'VDK6': Level-2B product is filtered with VDK6 - 'VDK7': Level-2B product is filtered with VDK7 - 'VDK8': Level-2B product is filtered with VDK8 The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder): - 'GRAVIS-2B_COSTG_0200_2002095-2020091_NFIL_0001.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 through 2020/03 - 'GRAVIS-2B_COSTG_0200_GRACE+SLR_LOW_DEGREES_0001.dat': Time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR - 'GRAVIS-2B_COSTG_0200_GIA_ICE-6G_D_VM5a_0001.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA - 'GRAVIS-2B_COSTG_0200_GEOCENTER_0001.dat': Time series with geocenter coefficients estimated from COST-G RL02.1 Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files. Link to data products: https://isdc-data.gfz.de/grace/GravIS/COST-G/Level-2B/ --------------------------------------------------------------------------------------------- Version History: 22 July 2025: Initial release of the data (Version 0001).

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.

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

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