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gravityInf - inverse hydrological modeling based on gravity observations to evaluate dominant infiltration and subsurface re-distribution processes

gravityInf is a small R-package which aims at supporting the anaylsis of a sprinkling (infiltration) experiment in combination with simultaneous and continious gravity measurements, presented in the above mentioned paper. With this package you can easily walk through the necessary steps in order to set up an infiltration scenario, maybe based on your own sprinkling / irrigation experiment and carry out simple hydrological modelling of water distribution in 3D in the subsurface. An observed gravity time series is needed for the model in order to fit and thus identify the dominant infiltration process for your research area. A model functionality and limitations can be found in Reich et al. (2021), the associtated data was published by Reich et al. (2021, https://doi.org/10.5880/GFZ.4.4.2021.001).

COST-G GravIS RL01 Continental Water Storage Anomalies

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 TWS 2) 'std_tws': gravity-based TWS uncertainties 3) 'leakage': spatial leakage contained in TWS 4) 'model_atmosphere': background model atmospheric mass These Level-3 products are visualized at GFZ's web portal GravIS (https://gravis.gfz-potsdam.de). --------------------------------------------------------------------------------------------- Version History: 21 April 2023: Release of Version 0005. This is an update of Version 0004 of the same data set (see changelog). 9 December 2021: Release of Version 0004. This is an update of Version 0003 of the same data set (see changelog). 9 September 2020: Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog). 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, https://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS). All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder of the data download folder.

GFZ GravIS RL06 Continental Water Storage Anomalies

GRACE/GRACE-FO Level-3 product based on GFZ RL06 Level-2B products (Dahle & Murböck, 2019) 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 containing four different variables: 1) 'tws': gravity-based TWS 2) 'std_tws': gravity-based TWS uncertainties 3) 'leakage': spatial leakage contained in TWS 4) 'model_atmosphere': background model atmospheric mass These Level-3 products are visualized at GFZ's web portal GravIS (https://gravis.gfz.de). --------------------------------------------------------------------------------------------- Version History: 16 January 2025: Release of Version 0006. This is an update of Version 0005 of the same data set (see changelog). 21 April 2023: Release of Version 0005. This is an update of Version 0004 of the same data set (see changelog). 9 December 2021: Release of Version 0004. This is an update of Version 0003 of the same data set (see changelog). 9 September 2020: Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog). 9 June 2020: Release of Version 0002. This is an update of Version 0001 of the same data set (see changelog). All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder in the data download folder.

Hydrometerological and gravity data from the Argentine-German Geodetic Observatory in La Plata

The data set contains hydrological, meteorological and gravity time series collected at Argentine-German Geodetic Observatory (AGGO) in La Plata, Argentina. The hydrological series include soil moisture, temperature, electric conductivity, soil parameters, and groundwater variation. The meteorological time series comprise air temperature, humidity, pressure, wind speed, solar short- and long-waver radiation, and precipitation. The observed hydrometeorological parameters are extended by modelled value of evapotranspiration and water content variation in the zone between deepest soil moisture sensor and the groundwater level. Gravity products include large-scale hydrological, oceanic as well as atmospheric effects. These gravity effects are furthermore extended by local hydrological effects and gravity residuals suitable for comparison and evaluation of the model performance. Provided are directly observed values denoted as Level 1 product along with pre-processed series corrected for known issues (Level 2). Level 3 products are model outputs acquired using Level 2 data. The maximal temporal coverage of the data set ranges from May 2016 up to November 2018 with some exceptions for sensors and models set up in May 2017. The data set is organized in a database structure suitable for implementation in a relational database management system. All definitions and data tables are provided in separate text files allowing for traditional use without database installation.Software related to the data acquisition, processing, and modelling can be found in a separate publication describing scripts applied to the data set presented here. The software publication is available at https://doi.org/10.5880/GFZ.5.4.2018.002 (Mikolaj, 2018)

The Pan-Alpine gravity database 2020

This data publication is a new compilation of land gravity data expressing the Earth’s gravitational acceleration field on the broader area of the European Alps. The dataset is based on national databases from 10 countries, but surmounts any barriers related to national reference systems. The input to this dataset is the largest Alpine compilation of point-wise data on land ever, and also includes marine data in adjacent regions in the Mediterranean Sea. Following quality control, this represents a total of 349’938 terrestrial gravity points and about 700’000 marine stations. Only such a dataset allows to investigate the Alpine orogen from shallow (sedimentary) to large (mantle) depths, which is among the primary goals of the AlpArray science program. Broad effort to collect all existing, public and private, point-based gravity data in the area of interest: 2-23°E, 41-51°N. The final, published grids are shared with the community on a 4*4 km2 grid; the results on 2*2 km2 grid are available upon request and approval from the group. We developed and fine-tuned an approach in which all raw data could be processed in the same, homogeneous way. Outliers were discarded. Full details are given in the reference publication (Zahorec et al., 2020).

Gravity and ancillary monitoring data of a sprinkling experiment - complemented by model setups and model output

A sprinkling experiment was conducted at the geodetic observatory Wettzell (Bavaria, Germany) with the intention to combine classical hydrological field observations of soil moisture with gravity data and electrical resistivity tomography (ERT). The setup consisted of 8 sprinkling units installed around a gravimeter in field enclosure. Artificial rainfall was applied for 6 hours. The sprinkling area of 15 x 15 m was equipped with 3 vertical soil moisture sensor profiles, 1 horizontal soil moisture transect, near-surface soil moisture sensors and 3 ERT profiles. The non-invasive gravity data and the ancillary monitoring data were used to infer water transport processes in the subsurface during the sprinkling experiment. To this end, the gravity data were used to identify the structure and the parameters of a subsurface flow model in an inverse modelling approach by optimizing the simulated gravity response with respect to the observations. The ancillary soil moisture and ERT data were used to evaluate the model outputs in terms of adequacy and dominant subsurface flow processes. Model data cover the following subtopics: • virtual experiments to show the theoretical relationships between subsurface water re-distribution processes and their corresponding gravity responses • an uncertainty analysis of the sprinkling experiment, e.g., with respect to water volumes and their spatial distribution, and the impact on the expected gravity response • inverse modelling to identify dominant subsurface water re-distribution processes • a synthetical model setup based on the ancillary datasets of soil moisture and ERT Monitoring and model output data used for this investigation is provided within this data repository. A detailed description and discussion can be found in Reich et al. (2021). The inverse modelling was carried out using the R-package gravityInf (Reich, 2021).

Superconducting Gravimeter Data from Conrad Observatory - Level 1

The International Geodynamics and Earth Tide Service (IGETS) was established in 2015 by the International Association of Geodesy IAG. IGETS continues the activities of the Global Geodynamics Project (GGP) between 1997 and 2015 to provide support to geodetic and geophysical research activities using superconducting gravimeter (SG) data within the context of an international network. The Conrad Observatory (CO) is located at Trafelberg, Lower Austria, about 50 km south-west of Vienna at an elevation of about 1050m. Three different geological formations are found in the vicinity of the CO: the Gutenstein Formation, Reifling Formation, and Wetterstein Limestone. The observatory is part of a large underground installation covering the full geophysical monitoring program including seismology, gravity, meteorology and geomagnetism. It includes two main facilities: (1) The seismo-gravimetric observatory (SGO), which was opened in 2002, and (2) the geomagnetic observatory (GMO), officially opened in 2014. Temporal variation of gravity is monitored at CO since autumn 2007 by the Superconducting Gravimeter GWR C025 (until November 2018) and, after a longer interruption, by GWR iGrav 050. The time series of gravity and barometric pressure from the iGrav SG 050 starts in April 2024. The time sampling of the raw gravity and barometric pressure data of IGETS Level 1 is 1 second and 1 minute. For a detailed description of the IGETS data base and the provided files see Voigt et al. (2016, https://doi.org/10.2312/GFZ.b103-16087).

Surface displacement, self-attraction and loading and M2 ocean tide fields in view of anelastic solid Earth models

As a supplement to Huang et al. (2021) “Anelasticity and lateral heterogeneities in Earth’s upper mantle: impact on surface displacements, self-attraction and loading and ocean tide dynamics”, the global amplitude and root-mean-square fields of surface vertical displacement and self-attraction and loading due to ocean tide loading - the M2 tide derived from model TiME (Sulzbach et al., 2021), and the root-mean-square fields of M2 tide are presented here. The fields have been calculated for the 1D elastic solid Earth model PREM and 3D and 1D anelastic models. Figures 4-7, S1 and S2, and tables 1-2 in Huang et al. (2021) can be easily reproduced from these data fields applying the calculus discussed in the paper. The anelastic Earth models can be constructed with the methodology outlined in Huang et al. (2021) by making use of the elastic and attenuation tomography models from the University of California, Berkeley (Karaoğlu, H. & Romanowicz, B., 2018) and the École Normale Supérieure (ENS) de Lyon (Debayle et al., 2020), respectively. All response fields (U and SAL) are calculated with the spectral-finite element method (Martinec 2000, Tanaka et al. 2019).

COST-G GravIS RL01 Ocean Bottom Pressure Anomalies

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 pressure 2) 'std_barslv': gravity-based barystatic sea-level pressure uncertainties 3) 'resobp': gravity-based residual ocean circulation pressure resobp 4) 'std_resobp': gravity-based residual ocean circulation pressure uncertainties 5) 'leakage': apparent gravity-based bottom pressure due to continental leakage 6) 'model_ocean': background-model ocean circulation pressure 7) 'model_atmosphere': background-model atmospheric surface pressure These Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). --------------------------------------------------------------------------------------------- Version History: 21 April 2023: Release of Version 0005. This is an update of Version 0004 of the same data set (see changelog). 9 December 2021: Release of Version 0004. This is an update of Version 0003 of the same data set (see changelog). 9 September 2020: Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog). 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, https://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP). All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder of the data download folder.

GFZ GravIS RL06 Ocean Bottom Pressure Anomalies

GRACE/GRACE-FO Level-3 product based on GFZ RL06 Level-2B products (Dahle & Murböck, 2019) 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 containing seven different variables: 1) 'barslv': gravity-based barystatic sea-level pressure 2) 'std_barslv': gravity-based barystatic sea-level pressure uncertainties 3) 'resobp': gravity-based residual ocean circulation pressure resobp 4) 'std_resobp': gravity-based residual ocean circulation pressure uncertainties 5) 'leakage': apparent gravity-based bottom pressure due to continental leakage 6) 'model_ocean': background-model ocean circulation pressure 7) 'model_atmosphere': background-model atmospheric surface pressure These Level-3 products are visualized at GFZ's web portal GravIS (https://gravis.gfz.de). --------------------------------------------------------------------------------------------- Version History: 16 January 2025: Release of Version 0006. This is an update of Version 0005 of the same data set (see changelog). 21 April 2023: Release of Version 0005. This is an update of Version 0004 of the same data set (see changelog). 9 December 2021: Release of Version 0004. This is an update of Version 0003 of the same data set (see changelog). 9 September 2020: Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog). 9 June 2020: Release of Version 0002. This is an update of Version 0001 of the same data set (see changelog). All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder in the data download folder.

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