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Extreme hydrometeorological events, a challenge for gravimetric and seismology networks

Authors: Van Camp, Michel; De Viron, ; Dassargues; Delobbe; Chanard; Gobron;

Extreme hydrometeorological events, a challenge for gravimetric and seismology networks

Abstract

“Data supporting the paper published by Earth's Future: "Extreme hydrometeorological events, a challenge for gravimetry and seismological networks" by Van Camp, de Viron, Dassargues, Delobbe, Chanard, and Gobron, doi: 10.1029/2022EF002737, 2022. The data contains: 1) A NETCDF mvc_data_EF.nc file, and the Python mvc_data_EF.py code for reading it. The nc file contains the time series from and around the Membach station, Belgium, as recorded during the July 2021 flood of the Vesdre River. Time in second since 2021-01-01 00:00: -Gravity [nm/s²]: from the superconducting gravimeter (after correcting for tidal and atmospheric pressure effects), To convert it into mm water: use factor -1/0.39 [mm/nm/s²] -Seismology [counts]: from the broadband Guralp CMG-3ESP seismometer. Calibration factor: 838.86 [count/µm/s] -Rain [mm water]: data inferred from the weather radar -Flow [m³/s]: water entering the Eupen reservoir 2) An ASCII file SG_C021.TSF contains the complete recording of the superconducting gravimeter GWR#C021, since 1995-10-01. The data are corrected for polar motion, tidal, and atmospheric pressure effects (local admittance of -3.3 nm/s²/hPa), and instrumental drift. This drift is determined by using 323 absolute gravity measurements performed at the Membach station by the FG5#202 gravimeter since January 1996. 3) PDF Document "Supplement 1 Other seismic spectra during high flow events" providing moving window spectra of seismic recordings during other significant floods in the Vesdre Valley 4) PDF document "Supplement 2_GRACE_GLDAS_GNSS" providing the observations from GNSS and GRACE, and the predictions of the GLDAS hydrological model during the July 2021 event.

Related Organizations
Keywords

Flash Floods, Hydrogeodesy, Early Warning, Hydrogeology, Floods, Geodesy, Seismology

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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