Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-1761-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-1761-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 May 2025
Data description paper |
| 06 May 2025
| 06 May 2025
Advancing geodynamic research in Antarctica: reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN)
Institut für Planetare Geodäsie, TUD Dresden University of Technology, Dresden, Germany
Mirko Scheinert
CORRESPONDING AUTHOR
Institut für Planetare Geodäsie, TUD Dresden University of Technology, Dresden, Germany
Matt A. King
School of Geography, Planning, and Spatial Sciences, University of Tasmania, Hobart, Tasmania, Australia
The Australian Centre for Excellence in Antarctic Science, University of Tasmania, Hobart, Tasmania, Australia
Terry Wilson
School of Earth Sciences, The Ohio State University, Columbus, Ohio, USA
Achraf Koulali
Geospatial Engineering, School of Engineering, Newcastle University, Newcastle, UK
Peter J. Clarke
Geospatial Engineering, School of Engineering, Newcastle University, Newcastle, UK
Demián Gómez
School of Earth Sciences, The Ohio State University, Columbus, Ohio, USA
Eric Kendrick
School of Earth Sciences, The Ohio State University, Columbus, Ohio, USA
Christoph Knöfel
Institut für Planetare Geodäsie, TUD Dresden University of Technology, Dresden, Germany
now at: Federal Agency for Cartography and Geodesy, Frankfurt am Main, Germany
Peter Busch
Institut für Planetare Geodäsie, TUD Dresden University of Technology, Dresden, Germany
now at: Vodafone Group Services GmbH, Düsseldorf, Germany
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Chen Zhao, Rupert M. Gladstone, Roland C. Warner, Matt A. King, Thomas Zwinger, and Mathieu Morlighem
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Chen Zhao, Rupert M. Gladstone, Roland C. Warner, Matt A. King, Thomas Zwinger, and Mathieu Morlighem
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Lenneke M. Jong, Rupert M. Gladstone, Benjamin K. Galton-Fenzi, and Matt A. King
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Ingo Sasgen, Alba Martín-Español, Alexander Horvath, Volker Klemann, Elizabeth J. Petrie, Bert Wouters, Martin Horwath, Roland Pail, Jonathan L. Bamber, Peter J. Clarke, Hannes Konrad, Terry Wilson, and Mark R. Drinkwater
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We present a collection of data sets, consisting of surface-elevation rates for Antarctic ice sheet from a combination of Envisat and ICESat, bedrock uplift rates for 118 GPS sites in Antarctica, and optimally filtered GRACE gravity field rates. We provide viscoelastic response functions to a disc load forcing for Earth structures present in East and West Antarctica. This data collection enables a joint inversion for present-day ice-mass changes and glacial isostatic adjustment in Antarctica.
Sebastian H. R. Rosier, G. Hilmar Gudmundsson, Matt A. King, Keith W. Nicholls, Keith Makinson, and Hugh F. J. Corr
Earth Syst. Sci. Data, 9, 849–860, https://doi.org/10.5194/essd-9-849-2017, https://doi.org/10.5194/essd-9-849-2017, 2017
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Wolfgang Rack, Matt A. King, Oliver J. Marsh, Christian T. Wild, and Dana Floricioiu
The Cryosphere, 11, 2481–2490, https://doi.org/10.5194/tc-11-2481-2017, https://doi.org/10.5194/tc-11-2481-2017, 2017
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Predicting changes of the Antarctic Ice Sheet involves fully understanding ice dynamics at the transition between grounded and floating ice. We map tidal bending of ice by satellite using InSAR, and we use precise GPS measurements with assumptions of tidal elastic bending to better interpret the satellite signal. It allows us to better define the grounding-line position and to refine the shape of tidal flexure profiles.
Riccardo E. M. Riva, Thomas Frederikse, Matt A. King, Ben Marzeion, and Michiel R. van den Broeke
The Cryosphere, 11, 1327–1332, https://doi.org/10.5194/tc-11-1327-2017, https://doi.org/10.5194/tc-11-1327-2017, 2017
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The reduction of ice masses stored on land has made an important contribution to sea-level rise over the last century, as well as changed the Earth's shape. We model the solid-earth response to ice mass changes and find significant vertical deformation signals over large continental areas. We show how deformation rates have varied strongly throughout the last century, which affects the interpretation and extrapolation of recent observations of vertical land motion and sea-level change.
Ludwig Schröder, Andreas Richter, Denis V. Fedorov, Lutz Eberlein, Evgeny V. Brovkov, Sergey V. Popov, Christoph Knöfel, Martin Horwath, Reinhard Dietrich, Alexey Y. Matveev, Mirko Scheinert, and Valery V. Lukin
The Cryosphere, 11, 1111–1130, https://doi.org/10.5194/tc-11-1111-2017, https://doi.org/10.5194/tc-11-1111-2017, 2017
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The paper describes the processing of kinematic GNSS data observed over nine seasons in East Antarctica. The obtained surface elevation profiles are used to validate several data sets of satellite altimetry. Thus, we find a clear recommendation that processing versions provide the highest accuracy and precision. The profiles are used to derive a new set of ICESat laser campaign biases and finally, to evaluate several DEMs.
Alexey Ekaykin, Lutz Eberlein, Vladimir Lipenkov, Sergey Popov, Mirko Scheinert, Ludwig Schröder, and Alexey Turkeev
The Cryosphere, 10, 1217–1227, https://doi.org/10.5194/tc-10-1217-2016, https://doi.org/10.5194/tc-10-1217-2016, 2016
B. C. Gunter, O. Didova, R. E. M. Riva, S. R. M. Ligtenberg, J. T. M. Lenaerts, M. A. King, M. R. van den Broeke, and T. Urban
The Cryosphere, 8, 743–760, https://doi.org/10.5194/tc-8-743-2014, https://doi.org/10.5194/tc-8-743-2014, 2014
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The availability of data from two airborne gravity campaigns using sensors based on both classical and quantum technology is presented. Data are made available by the European Space Agency as raw, intermediate, and final data products. Here “raw” refers to the sensor output, while “final” refers to the along-track gravity estimates. This makes the data relevant for users interested in applications ranging from data processing and quantum studies to geophysical studies using gravity observations.
Christoph Dahle, Eva Boergens, Ingo Sasgen, Thorben Döhne, Sven Reißland, Henryk Dobslaw, Volker Klemann, Michael Murböck, Rolf König, Robert Dill, Mike Sips, Ulrike Sylla, Andreas Groh, Martin Horwath, and Frank Flechtner
Earth Syst. Sci. Data, 17, 611–631, https://doi.org/10.5194/essd-17-611-2025, https://doi.org/10.5194/essd-17-611-2025, 2025
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GRACE and GRACE-FO are unique observing systems to quantify mass changes at the Earth’s surface from space. Time series of these mass changes are of high value for various applications, e.g., in hydrology, glaciology, and oceanography. GravIS (Gravity Information Service) provides easy access to user-friendly, regularly updated mass anomaly products. The portal visualizes and describes these data, aiming to highlight their significance for understanding changes in the climate system.
Hui Gao, Xinming Wu, Xiaoming Sun, Mingcai Hou, Hang Gao, Guangyu Wang, and Hanlin Sheng
Earth Syst. Sci. Data, 17, 595–609, https://doi.org/10.5194/essd-17-595-2025, https://doi.org/10.5194/essd-17-595-2025, 2025
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We propose three strategies for field seismic data curation, knowledge-guided synthesization, and generative adversarial network (GAN)-based generation to construct a massive-scale, feature-rich, and high-realism benchmark dataset of seismic facies and evaluate its effectiveness in training a deep-learning model for automatic seismic facies classification.
Cesare Comina, Guido Maria Adinolfi, Carlo Bertok, Andrea Bertea, Vittorio Giraud, and Pierluigi Pieruccini
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-413, https://doi.org/10.5194/essd-2024-413, 2024
Revised manuscript accepted for ESSD
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Estimates of earthquake ground motions rely on evaluating soil and rock profiles, with shear wave velocity (Vs) as a key factor. Uncertainty in Vs impacts seismic hazard predictions. Stochastic procedures model this uncertainty, but must be calibrated using detailed geological data and Vs databases. This paper provides a new Vs profile database for Piedmont (NW Italy), integrating geological modeling and geophysical data, supporting similar studies in other regions.
Andrea Rovida, Mario Locati, Andrea Antonucci, and Romano Camassi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-467, https://doi.org/10.5194/essd-2024-467, 2024
Revised manuscript accepted for ESSD
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ASMI, the Italian Archive of Historical Earthquake Data, is a data collection that provides seismological data on more than 6600 earthquakes that occurred in Italy and surrounding between 461 BC and today, based on more than 460 data sources. ASMI distributes in diverse ways and formats earthquake parameters, sets of macroseismic intensity, together with the bibliographical reference of the data source and, if possible the data source itself.
Leonardo Colavitti, Dino Bindi, Gabriele Tarchini, Davide Scafidi, Matteo Picozzi, and Daniele Spallarossa
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-448, https://doi.org/10.5194/essd-2024-448, 2024
Revised manuscript accepted for ESSD
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This work describes a dataset of 5 years of earthquakes with magnitude range 2.0–5.5 from January 2019 along the East Anatolian Fault, Türkiye. All events were located using the Non-Linear Location algorithm, providing reliable horizontal locations and depths. The distributed product includes Fourier Amplitude Spectra, Peak Ground Acceleration and Peak Ground Velocity; we strongly believe that the creation of high-quality, open-source datasets is crucial for any seismological investigation.
Peyman Saemian, Omid Elmi, Molly Stroud, Ryan Riggs, Benjamin M. Kitambo, Fabrice Papa, George H. Allen, and Mohammad J. Tourian
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-406, https://doi.org/10.5194/essd-2024-406, 2024
Revised manuscript accepted for ESSD
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Our study addresses the need for better river discharge data, crucial for water management, by expanding global gauge networks with satellite data. We used satellite altimetry to estimate river discharge for over 8,700 stations worldwide, filling gaps in existing records. Our data set, SAEM supports a better understanding of water systems, helping to manage water resources more effectively, especially in regions with limited monitoring infrastructure.
Fanny Lehmann, Filippo Gatti, Michaël Bertin, and Didier Clouteau
Earth Syst. Sci. Data, 16, 3949–3972, https://doi.org/10.5194/essd-16-3949-2024, https://doi.org/10.5194/essd-16-3949-2024, 2024
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Numerical simulations are a promising approach to characterizing the intensity of ground motion in the presence of geological uncertainties. However, the computational cost of 3D simulations can limit their usability. We present the first database of seismic-induced ground motion generated by an earthquake simulator for a collection of 30 000 heterogeneous geologies. The HEMEWS-3D dataset can be helpful for geophysicists, seismologists, and machine learning scientists, among others.
Daniela Famiani, Fabrizio Cara, Giuseppe Di Giulio, Giovanna Cultrera, Francesca Pacor, Sara Lovati, Gaetano Riccio, Maurizio Vassallo, Giulio Brunelli, Antonio Costanzo, Antonella Bobbio, Marta Pischiutta, Rodolfo Puglia, Marco Massa, Rocco Cogliano, Salomon Hailemikael, Alessia Mercuri, Giuliano Milana, Luca Minarelli, Alessandro Di Filippo, Lucia Nardone, Simone Marzorati, Chiara Ladina, Debora Pantaleo, Carlo Calamita, Maria Grazia Ciaccio, Antonio Fodarella, Stefania Pucillo, Giuliana Mele, Carla Bottari, Gaetano De Luca, Luigi Falco, Antonino Memmolo, Giulia Sgattoni, and Gabriele Tarabusi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-162, https://doi.org/10.5194/essd-2024-162, 2024
Revised manuscript accepted for ESSD
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This paper describes data and preliminary analyses made by the INGV emergency task force EMERSITO, devoted to site effects and seismic microzonation studies, following the November 9th, 2022, MW 5.5 earthquake (Adriatic sea, Italy). Considering the earthquake affected area, EMERSITO deployed a temporary seismic network of 11 stations (net code 6N) sampling different geological units in the urban area of Ancona, the regional capital of Marche, and operated from November 2022 to February 2023.
Guangyu Wang, Xinming Wu, and Wen Zhang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-131, https://doi.org/10.5194/essd-2024-131, 2024
Revised manuscript accepted for ESSD
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Seismic paleochannel interpretation is essential for hydrocarbon exploration and paleoclimate studies but remains labor-intensive. Deep learning (DL) is promising to automate it but hindered by the lack of labeled data. We propose a workflow to simulate various channels and realistic seismic volumes, yielding the largest 3D seismic dataset with diverse channel labels. Its effectiveness is proven by field applications. The dataset, codes and DL models are released to advance further research.
Hao Zhou, Lijun Zheng, Yaozong Li, Xiang Guo, Zebing Zhou, and Zhicai Luo
Earth Syst. Sci. Data, 16, 3261–3281, https://doi.org/10.5194/essd-16-3261-2024, https://doi.org/10.5194/essd-16-3261-2024, 2024
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The satellite gravimetry mission Gravity Recovery and Climate Experiment (GRACE) and its follower GRACE-FO play a vital role in monitoring mass transportation on Earth. Based on the latest observation data derived from GRACE and GRACE-FO and an updated data processing chain, a new monthly temporal gravity field series, HUST-Grace2024, was determined.
Francesca Pace, Andrea Vergnano, Alberto Godio, Gerardo Romano, Luigi Capozzoli, Ilaria Baneschi, Marco Doveri, and Alessandro Santilano
Earth Syst. Sci. Data, 16, 3171–3192, https://doi.org/10.5194/essd-16-3171-2024, https://doi.org/10.5194/essd-16-3171-2024, 2024
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We present the geophysical data set acquired close to Ny-Ålesund (Svalbard islands) for the characterization of glacial and hydrological processes and features. The data have been organized in a repository that includes both raw and processed (filtered) data and some representative results of 2D models of the subsurface. This data set can foster multidisciplinary scientific collaborations among many disciplines: hydrology, glaciology, climatology, geology, geomorphology, etc.
Dino Bindi, Riccardo Zaccarelli, Angelo Strollo, Domenico Di Giacomo, Andres Heinloo, Peter Evans, Fabrice Cotton, and Frederik Tilmann
Earth Syst. Sci. Data, 16, 1733–1745, https://doi.org/10.5194/essd-16-1733-2024, https://doi.org/10.5194/essd-16-1733-2024, 2024
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The size of an earthquake is often described by a single number called the magnitude. Among the possible magnitude scales, the seismic moment (Mw) and the radiated energy (Me) scales are based on physical parameters describing the rupture process. Since these two magnitude scales provide complementary information that can be used for seismic hazard assessment and for seismic risk mitigation, we complement the Mw catalog disseminated by the GEOFON Data Centre with Me values.
Neda Darbeheshti, Martin Lasser, Ulrich Meyer, Daniel Arnold, and Adrian Jäggi
Earth Syst. Sci. Data, 16, 1589–1599, https://doi.org/10.5194/essd-16-1589-2024, https://doi.org/10.5194/essd-16-1589-2024, 2024
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This paper discusses strategies to improve the GRACE gravity field monthly solutions computed at the Astronomical Institute of the University of Bern. We updated the input observations and background models, as well as improving processing strategies in terms of instrument data screening and instrument parameterization.
Athina Peidou, Donald F. Argus, Felix W. Landerer, David N. Wiese, and Matthias Ellmer
Earth Syst. Sci. Data, 16, 1317–1332, https://doi.org/10.5194/essd-16-1317-2024, https://doi.org/10.5194/essd-16-1317-2024, 2024
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This study recommends a framework for preparing and processing vertical land displacements derived from GPS positioning for future integration with Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) measurements. We derive GPS estimates that only reflect surface mass signals and evaluate them against GRACE (and GRACE-FO). We also quantify uncertainty of GPS vertical land displacement estimates using various uncertainty quantification methods.
Lavinia Tunini, Andrea Magrin, Giuliana Rossi, and David Zuliani
Earth Syst. Sci. Data, 16, 1083–1106, https://doi.org/10.5194/essd-16-1083-2024, https://doi.org/10.5194/essd-16-1083-2024, 2024
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This study presents 20-year time series of more than 350 GNSS stations located in NE Italy and surroundings, together with the outgoing velocities. An overview of the input data, station information, data processing and solution quality is provided. The documented dataset constitutes a crucial and complete source of information about the deformation of an active but slowly converging margin over the last 2 decades, also contributing to the regional seismic hazard assessment of NE Italy.
Wenbin Tang, Ji Zhou, Jin Ma, Ziwei Wang, Lirong Ding, Xiaodong Zhang, and Xu Zhang
Earth Syst. Sci. Data, 16, 387–419, https://doi.org/10.5194/essd-16-387-2024, https://doi.org/10.5194/essd-16-387-2024, 2024
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This paper reported a daily 1 km all-weather land surface temperature (LST) dataset for Chinese land mass and surrounding areas – TRIMS LST. The results of a comprehensive evaluation show that TRIMS LST has the following special features: the longest time coverage in its class, high image quality, and good accuracy. TRIMS LST has already been released to the scientific community, and a series of its applications have been reported by the literature.
Arno Zang, Peter Niemz, Sebastian von Specht, Günter Zimmermann, Claus Milkereit, Katrin Plenkers, and Gerd Klee
Earth Syst. Sci. Data, 16, 295–310, https://doi.org/10.5194/essd-16-295-2024, https://doi.org/10.5194/essd-16-295-2024, 2024
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We present experimental data collected in 2015 at Äspö Hard Rock Laboratory. We created six cracks in a rock mass by injecting water into a borehole. The cracks were monitored using special sensors to study how the water affected the rock. The goal of the experiment was to figure out how to create a system for generating heat from the rock that is better than what has been done before. The data collected from this experiment are important for future research into generating energy from rocks.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Earth Syst. Sci. Data, 15, 4781–4801, https://doi.org/10.5194/essd-15-4781-2023, https://doi.org/10.5194/essd-15-4781-2023, 2023
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We present a comprehensive catalog of focal mechanisms for earthquakes in Mexico and neighboring areas spanning February 1928 to July 2022. The catalog comprises a wide range of earthquake magnitudes and depths and includes data from diverse geological environments. We collected and revised focal mechanism data from various sources and methods. The catalog is a valuable resource for future studies on earthquake source mechanisms, tectonics, and seismic hazard in the region.
Iman R. Kivi, Auregan Boyet, Haiqing Wu, Linus Walter, Sara Hanson-Hedgecock, Francesco Parisio, and Victor Vilarrasa
Earth Syst. Sci. Data, 15, 3163–3182, https://doi.org/10.5194/essd-15-3163-2023, https://doi.org/10.5194/essd-15-3163-2023, 2023
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Induced seismicity has posed significant challenges to secure deployment of geo-energy projects. Through a review of published documents, we present a worldwide, multi-physical database of injection-induced seismicity. The database contains information about in situ rock, tectonic and geologic characteristics, operational parameters, and seismicity for various subsurface energy-related activities. The data allow for an improved understanding and management of injection-induced seismicity.
Claudia Finger, Marco P. Roth, Marco Dietl, Aileen Gotowik, Nina Engels, Rebecca M. Harrington, Brigitte Knapmeyer-Endrun, Klaus Reicherter, Thomas Oswald, Thomas Reinsch, and Erik H. Saenger
Earth Syst. Sci. Data, 15, 2655–2666, https://doi.org/10.5194/essd-15-2655-2023, https://doi.org/10.5194/essd-15-2655-2023, 2023
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Passive seismic analyses are a key technology for geothermal projects. The Lower Rhine Embayment, at the western border of North Rhine-Westphalia in Germany, is a geologically complex region with high potential for geothermal exploitation. Here, we report on a passive seismic dataset recorded with 48 seismic stations and a total extent of 20 km. We demonstrate that the network design allows for the application of state-of-the-art seismological methods.
Jia-Hao Li, Zhao-Liang Li, Xiangyang Liu, and Si-Bo Duan
Earth Syst. Sci. Data, 15, 2189–2212, https://doi.org/10.5194/essd-15-2189-2023, https://doi.org/10.5194/essd-15-2189-2023, 2023
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The Advanced Very High Resolution Radiometer (AVHRR) is the only sensor that has the advantages of frequent revisits (twice per day), relatively high spatial resolution (4 km at the nadir), global coverage, and easy access prior to 2000. This study developed a global historical twice-daily LST product for 1981–2021 based on AVHRR GAC data. The product is suitable for detecting and analyzing climate changes over the past 4 decades.
Konstantinos Michailos, György Hetényi, Matteo Scarponi, Josip Stipčević, Irene Bianchi, Luciana Bonatto, Wojciech Czuba, Massimo Di Bona, Aladino Govoni, Katrin Hannemann, Tomasz Janik, Dániel Kalmár, Rainer Kind, Frederik Link, Francesco Pio Lucente, Stephen Monna, Caterina Montuori, Stefan Mroczek, Anne Paul, Claudia Piromallo, Jaroslava Plomerová, Julia Rewers, Simone Salimbeni, Frederik Tilmann, Piotr Środa, Jérôme Vergne, and the AlpArray-PACASE Working Group
Earth Syst. Sci. Data, 15, 2117–2138, https://doi.org/10.5194/essd-15-2117-2023, https://doi.org/10.5194/essd-15-2117-2023, 2023
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We examine the spatial variability of the crustal thickness beneath the broader European Alpine region by using teleseismic earthquake information (receiver functions) on a large amount of seismic waveform data. We compile a new Moho depth map of the broader European Alps and make our results freely available. We anticipate that our results can potentially provide helpful hints for interdisciplinary imaging and numerical modeling studies.
Muhammad Rizwan Asif, Nikolaj Foged, Thue Bording, Jakob Juul Larsen, and Anders Vest Christiansen
Earth Syst. Sci. Data, 15, 1389–1401, https://doi.org/10.5194/essd-15-1389-2023, https://doi.org/10.5194/essd-15-1389-2023, 2023
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To apply a deep learning (DL) algorithm to electromagnetic (EM) methods, subsurface resistivity models and/or the corresponding EM responses are often required. To date, there are no standardized EM datasets, which hinders the progress and evolution of DL methods due to data inconsistency. Therefore, we present a large-scale physics-driven model database of geologically plausible and EM-resolvable subsurface models to incorporate consistency and reliability into DL applications for EM methods.
Médéric Gravelle, Guy Wöppelmann, Kevin Gobron, Zuheir Altamimi, Mikaël Guichard, Thomas Herring, and Paul Rebischung
Earth Syst. Sci. Data, 15, 497–509, https://doi.org/10.5194/essd-15-497-2023, https://doi.org/10.5194/essd-15-497-2023, 2023
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We produced a reanalysis of GNSS data near tide gauges worldwide within the International GNSS Service. It implements advances in data modelling and corrections, extending the record length by about 7 years. A 28 % reduction in station velocity uncertainties is achieved over the previous solution. These estimates of vertical land motion at the coast supplement data from satellite altimetry or tide gauges for an improved understanding of sea level changes and their impacts along coastal areas.
Michal Kruszewski, Gerd Klee, Thomas Niederhuber, and Oliver Heidbach
Earth Syst. Sci. Data, 14, 5367–5385, https://doi.org/10.5194/essd-14-5367-2022, https://doi.org/10.5194/essd-14-5367-2022, 2022
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The authors assemble an in situ stress magnitude and orientation database based on 429 hydrofracturing tests that were carried out in six coal mines and two coal bed methane boreholes between 1986 and 1995 within the greater Ruhr region (Germany). Our study summarises the results of the extensive in situ stress test campaign and assigns quality to each data record using the established quality ranking schemes of the World Stress Map project.
Andrea Rovida, Andrea Antonucci, and Mario Locati
Earth Syst. Sci. Data, 14, 5213–5231, https://doi.org/10.5194/essd-14-5213-2022, https://doi.org/10.5194/essd-14-5213-2022, 2022
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EPICA is the 1000–1899 catalogue compiled for the European Seismic Hazard Model 2020 and contains 5703 earthquakes with Mw ≥ 4.0. It relies on the data of the European Archive of Historical Earthquake Data (AHEAD), both macroseismic intensities from historical seismological studies and parameters from regional catalogues. For each earthquake, the most representative datasets were selected and processed in order to derive harmonised parameters, both from intensity data and parametric catalogues.
Suqin Zhang, Changhua Fu, Jianjun Wang, Guohao Zhu, Chuanhua Chen, Shaopeng He, Pengkun Guo, and Guoping Chang
Earth Syst. Sci. Data, 14, 5195–5212, https://doi.org/10.5194/essd-14-5195-2022, https://doi.org/10.5194/essd-14-5195-2022, 2022
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The Sheshan observatory has nearly 150 years of observation history, and its observation data have important scientific value. However, with time, these precious historical data face the risk of damage and loss. We have carried out a series of rescues on the historical data of the Sheshan observatory. New historical datasets were released, including the quality-controlled absolute hourly mean values of three components (D, H, and Z) from 1933 to 2019.
Guoyu Li, Wei Ma, Fei Wang, Huijun Jin, Alexander Fedorov, Dun Chen, Gang Wu, Yapeng Cao, Yu Zhou, Yanhu Mu, Yuncheng Mao, Jun Zhang, Kai Gao, Xiaoying Jin, Ruixia He, Xinyu Li, and Yan Li
Earth Syst. Sci. Data, 14, 5093–5110, https://doi.org/10.5194/essd-14-5093-2022, https://doi.org/10.5194/essd-14-5093-2022, 2022
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A permafrost monitoring network was established along the China–Russia crude oil pipeline (CRCOP) route at the eastern flank of the northern Da Xing'anling Mountains in Northeast China. The resulting datasets fill the gaps in the spatial coverage of mid-latitude mountain permafrost databases. Results show that permafrost warming has been extensively observed along the CRCOP route, and local disturbances triggered by the CRCOPs have resulted in significant permafrost thawing.
Alessandro Cicoira, Samuel Weber, Andreas Biri, Ben Buchli, Reynald Delaloye, Reto Da Forno, Isabelle Gärtner-Roer, Stephan Gruber, Tonio Gsell, Andreas Hasler, Roman Lim, Philippe Limpach, Raphael Mayoraz, Matthias Meyer, Jeannette Noetzli, Marcia Phillips, Eric Pointner, Hugo Raetzo, Cristian Scapozza, Tazio Strozzi, Lothar Thiele, Andreas Vieli, Daniel Vonder Mühll, Vanessa Wirz, and Jan Beutel
Earth Syst. Sci. Data, 14, 5061–5091, https://doi.org/10.5194/essd-14-5061-2022, https://doi.org/10.5194/essd-14-5061-2022, 2022
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This paper documents a monitoring network of 54 positions, located on different periglacial landforms in the Swiss Alps: rock glaciers, landslides, and steep rock walls. The data serve basic research but also decision-making and mitigation of natural hazards. It is the largest dataset of its kind, comprising over 209 000 daily positions and additional weather data.
Xiaoli Chang, Huijun Jin, Ruixia He, Yanlin Zhang, Xiaoying Li, Xiaoying Jin, and Guoyu Li
Earth Syst. Sci. Data, 14, 3947–3959, https://doi.org/10.5194/essd-14-3947-2022, https://doi.org/10.5194/essd-14-3947-2022, 2022
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Based on 10-year observations of ground temperatures in seven deep boreholes in Gen’he, Mangui, and Yituli’he, a wide range of mean annual ground temperatures at the depth of 20 m (−2.83 to −0.49 ℃) and that of annual maximum thawing depth (about 1.1 to 7.0 m) have been revealed. This study demonstrates that most trajectories of permafrost changes in Northeast China are ground warming and permafrost degradation, except that the shallow permafrost is cooling in Yituli’he.
Alice C. Frémand, Julien A. Bodart, Tom A. Jordan, Fausto Ferraccioli, Carl Robinson, Hugh F. J. Corr, Helen J. Peat, Robert G. Bingham, and David G. Vaughan
Earth Syst. Sci. Data, 14, 3379–3410, https://doi.org/10.5194/essd-14-3379-2022, https://doi.org/10.5194/essd-14-3379-2022, 2022
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This paper presents the release of large swaths of airborne geophysical data (including gravity, magnetics, and radar) acquired between 1994 and 2020 over Antarctica by the British Antarctic Survey. These include a total of 64 datasets from 24 different surveys, amounting to >30 % of coverage over the Antarctic Ice Sheet. This paper discusses how these data were acquired and processed and presents the methods used to standardize and publish the data in an interactive and reproducible manner.
Cited articles
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Altamimi, Z., Rebischung, P., Collilieux, X., Métivier, L., and Chanard, K.: ITRF2020: an augmented reference frame refining the modeling of nonlinear station motions, J. Geodesy, 97, 47, https://doi.org/10.1007/s00190-023-01738-w, 2023. a, b
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Argus, D. F., Blewitt, G., Peltier, W. R., and Kreemer, C.: Rise of the Ellsworth mountains and parts of the East Antarctic coast observed with GPS, Geophys. Res. Lett., 38, L16303, https://doi.org/10.1029/2011GL048025, 2011. a
Argus, D. F., Peltier, W. R., Drummond, R., and Moore, A. W.: The Antarctica component of postglacial rebound model ICE-6G_C (VM5a) based on GPS positioning, exposure age dating of ice thicknesses, and relative sea level histories, Geophys. J. Int., 198, 537–563, https://doi.org/10.1093/gji/ggu140, 2014. a, b
Bar-Sever, Y. E., Kroger, P. M., and Borjesson, J. A.: Estimating horizontal gradients of tropospheric path delay with a single GPS receiver, J. Geophys. Res.-Sol. Ea., 103, 5019–5035, https://doi.org/10.1029/97JB03534, 1998. a
Barletta, V. R., Bevis, M., Smith, B. E., Wilson, T., Brown, A., Bordoni, A., Willis, M., Khan, S. A., Rovira-Navarro, M., Dalziel, I., Smalley, R., Kendrick, E., Konfal, S., Caccamise, D. J., Aster, R. C., Nyblade, A., and Wiens, D. A.: Observed rapid bedrock uplift in Amundsen Sea Embayment promotes ice-sheet stability, Science, 360, 1335–1339, https://doi.org/10.1126/science.aao1447, 2018. a, b, c
Bertiger, W., Desai, S. D., Haines, B., Harvey, N., Moore, A. W., Owen, S., and Weiss, J. P.: Single receiver phase ambiguity resolution with GPS data, J. Geodesy, 84, 327–337, https://doi.org/10.1007/s00190-010-0371-9, 2010. a
Bevis, M. and Brown, A.: Trajectory models and reference frames for crustal motion geodesy, J. Geodesy, 88, 283–311, https://doi.org/10.1007/s00190-013-0685-5, 2014. a
Bevis, M., Kendrick, E., Smalley Jr., R., Dalziel, I., Caccamise, D., Sasgen, I., Helsen, M., Taylor, F. W., Zhou, H., Brown, A., Raleigh, D., Willis, M., Wilson, T., and Konfal, S.: Geodetic measurements of vertical crustal velocity in West Antarctica and the implications for ice mass balance, Geochem. Geophy. Geosy., 10, Q10005, https://doi.org/10.1029/2009GC002642, 2009. a, b
Blewitt, G., Hammond, W. C., and Kreemer, C.: Harnessing the GPS data explosion for interdisciplinary science, EOS, 99, https://doi.org/10.1029/2018EO104623, 2018. a, b, c, d
Boehm, J., Werl, B., and Schuh, H.: Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data, J. Geophys. Res.-Sol. Ea., 111, B02406, https://doi.org/10.1029/2005JB003629, 2006. a, b, c
Bos, M. S., Fernandes, R. M. S., Williams, S. D. P., and Bastos, L.: Fast error analysis of continuous GNSS observations with missing data, J. Geodesy, 87, 351–360, https://doi.org/10.1007/s00190-012-0605-0, 2013. a, b
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Short summary
Geodetic GPS measurements in Antarctica have been used to track bedrock displacement, which is vital for understanding geodynamic processes such as plate motion and glacial isostatic adjustment. However, the potential of GPS data has been limited by its partially fragmented availability and unreliable metadata. A new dataset, which spans the period from 1995 to 2021, offers consistently processed coordinate time series for 286 GPS sites and promises to enhance future geodynamic research.
Geodetic GPS measurements in Antarctica have been used to track bedrock displacement, which is...
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