Articles | Volume 12, issue 2
https://doi.org/10.5194/essd-12-1385-2020
© Author(s) 2020. 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-12-1385-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Jun 2020
Data description paper |
| 22 Jun 2020
| 22 Jun 2020
Description of the multi-approach gravity field models from Swarm GPS data
João Teixeira da Encarnação
CORRESPONDING AUTHOR
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Center for Space Research, The University of Texas at Austin, 3925
West Braker Lane, Suite 200 Austin, TX 78759-5321, USA
Pieter Visser
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Daniel Arnold
Astronomical Institute of the University of Bern, Sidlerstrasse 5,
3012 Bern, Switzerland
Aleš Bezdek
Astronomical Institute of the Czech Academy of Sciences, Fricova 298,
251 65 Ondřejov, Czech Republic
Eelco Doornbos
Royal Netherlands Meteorological
Institute, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Matthias Ellmer
Jet
Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
Junyi Guo
School of Earth Sciences of The Ohio State University, 125 Oval Dr S,
Columbus, OH 43210, USA
Jose van den IJssel
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Elisabetta Iorfida
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, the Netherlands
Adrian Jäggi
Astronomical Institute of the University of Bern, Sidlerstrasse 5,
3012 Bern, Switzerland
Jaroslav Klokocník
Astronomical Institute of the Czech Academy of Sciences, Fricova 298,
251 65 Ondřejov, Czech Republic
Sandro Krauss
Institute of Geodesy of the Graz University of Technology, Steyergasse
30/III, 8010 Graz, Austria
Xinyuan Mao
Astronomical Institute of the University of Bern, Sidlerstrasse 5,
3012 Bern, Switzerland
Torsten Mayer-Gürr
Institute of Geodesy of the Graz University of Technology, Steyergasse
30/III, 8010 Graz, Austria
Ulrich Meyer
Astronomical Institute of the University of Bern, Sidlerstrasse 5,
3012 Bern, Switzerland
Josef Sebera
Astronomical Institute of the Czech Academy of Sciences, Fricova 298,
251 65 Ondřejov, Czech Republic
C. K. Shum
School of Earth Sciences of The Ohio State University, 125 Oval Dr S,
Columbus, OH 43210, USA
Chaoyang Zhang
School of Earth Sciences of The Ohio State University, 125 Oval Dr S,
Columbus, OH 43210, USA
School of Earth Sciences of The Ohio State University, 125 Oval Dr S,
Columbus, OH 43210, USA
Christoph Dahle
GFZ German Research Centre for Geosciences, Potsdam, Germany
Astronomical Institute of the University of Bern, Sidlerstrasse 5,
3012 Bern, Switzerland
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Cited
38 citations as recorded by crossref.
- Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
- Precise orbit determination and baseline consistency assessment for Swarm constellation B. Jin et al. 10.1016/j.asr.2022.11.045
- Long-term ice mass changes in Greenland and Antarctica derived from satellite laser ranging F. Gałdyn et al. 10.1016/j.rse.2024.113994
- Evaluation of the Consistency of Three GRACE Gap-Filling Data A. Qian et al. 10.3390/rs14163916
- Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- A Two‐Step Linear Model to Fill the Data Gap Between GRACE and GRACE‐FO Terrestrial Water Storage Anomalies X. Yang et al. 10.1029/2022WR034139
- Impact of the combination and replacement of SLR-based low-degree gravity field coefficients in GRACE solutions F. Gałdyn & K. Sośnica 10.1186/s40645-024-00608-z
- Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change K. Tian et al. 10.3390/rs13061124
- Bridging the spatiotemporal ice sheet mass change data gap between GRACE and GRACE-FO in Greenland using machine learning method Z. Shi et al. 10.1016/j.jhydrol.2024.130622
- GROOPS: A software toolkit for gravity field recovery and GNSS processing T. Mayer-Gürr et al. 10.1016/j.cageo.2021.104864
- Rapid Mass Loss in West Antarctica Revealed by Swarm Gravimetry in the Absence of GRACE C. Zhang et al. 10.1029/2021GL095141
- The Drought Events over the Amazon River Basin from 2003 to 2020 Detected by GRACE/GRACE-FO and Swarm Satellites L. Cui et al. 10.3390/rs14122887
- Precise orbit determination of Spire nano satellites D. Arnold et al. 10.1016/j.asr.2023.10.012
- Analysis of gap filling techniques for GRACE/GRACE-FO terrestrial water storage anomalies in Canada S. Bringeland & G. Fotopoulos 10.1016/j.jhydrol.2024.130644
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- Assessment of Swarm Kinematic Orbit Determination Using Two Different Double-Difference Methods R. Zhang et al. 10.3390/rs15102669
- Filling the gap between GRACE and GRACE follow-on observations based on principal component analysis Y. Gu et al. 10.1093/gji/ggad484
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- Reconstructing the data gap between GRACE and GRACE follow-on at the basin scale using artificial neural network Y. Lai et al. 10.1016/j.scitotenv.2022.153770
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- Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al. 10.1029/2022JB025561
- Spatiotemporal Evaluation of the Flood Potential Index and Its Driving Factors across the Volga River Basin Based on Combined Satellite Gravity Observations Z. Zou et al. 10.3390/rs15174144
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- Comparison of Terrestrial Water Storage Changes Derived from GRACE/GRACE-FO and Swarm: A Case Study in the Amazon River Basin L. Cui et al. 10.3390/w12113128
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- GNSS Profile from the Greenland Korth Expeditions in the Context of Satellite Data A. Bezděk et al. 10.3390/app11031115
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- Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations M. Uz et al. 10.1016/j.scitotenv.2022.154701
- Gravity field recovery of inter-satellite links between Beidou navigation satellite system (BDS) and LEO based on geodesy and time reference in space (GETRIS) Y. Xiao et al. 10.1016/j.asr.2024.03.025
- Autoregressive Reconstruction of Total Water Storage within GRACE and GRACE Follow-On Gap Period A. Lenczuk et al. 10.3390/en15134827
- Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al. 10.1029/2021GL093492
- The Mass Change Designated Observable Study: Overview and Results D. Wiese et al. 10.1029/2022EA002311
35 citations as recorded by crossref.
- Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
- Precise orbit determination and baseline consistency assessment for Swarm constellation B. Jin et al. 10.1016/j.asr.2022.11.045
- Long-term ice mass changes in Greenland and Antarctica derived from satellite laser ranging F. Gałdyn et al. 10.1016/j.rse.2024.113994
- Evaluation of the Consistency of Three GRACE Gap-Filling Data A. Qian et al. 10.3390/rs14163916
- Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
- Reconstructing GRACE-type time-variable gravity from the Swarm satellites H. Richter et al. 10.1038/s41598-020-80752-w
- A Two‐Step Linear Model to Fill the Data Gap Between GRACE and GRACE‐FO Terrestrial Water Storage Anomalies X. Yang et al. 10.1029/2022WR034139
- Impact of the combination and replacement of SLR-based low-degree gravity field coefficients in GRACE solutions F. Gałdyn & K. Sośnica 10.1186/s40645-024-00608-z
- Drought Events over the Amazon River Basin (1993–2019) as Detected by the Climate-Driven Total Water Storage Change K. Tian et al. 10.3390/rs13061124
- Bridging the spatiotemporal ice sheet mass change data gap between GRACE and GRACE-FO in Greenland using machine learning method Z. Shi et al. 10.1016/j.jhydrol.2024.130622
- GROOPS: A software toolkit for gravity field recovery and GNSS processing T. Mayer-Gürr et al. 10.1016/j.cageo.2021.104864
- Rapid Mass Loss in West Antarctica Revealed by Swarm Gravimetry in the Absence of GRACE C. Zhang et al. 10.1029/2021GL095141
- The Drought Events over the Amazon River Basin from 2003 to 2020 Detected by GRACE/GRACE-FO and Swarm Satellites L. Cui et al. 10.3390/rs14122887
- Precise orbit determination of Spire nano satellites D. Arnold et al. 10.1016/j.asr.2023.10.012
- Analysis of gap filling techniques for GRACE/GRACE-FO terrestrial water storage anomalies in Canada S. Bringeland & G. Fotopoulos 10.1016/j.jhydrol.2024.130644
- Calibrating nonlinearity coefficients of a nano-g accelerometer by dual-frequency excitation on a shaker Z. Li et al. 10.1016/j.measurement.2023.114016
- Assessment of Swarm Kinematic Orbit Determination Using Two Different Double-Difference Methods R. Zhang et al. 10.3390/rs15102669
- Filling the gap between GRACE and GRACE follow-on observations based on principal component analysis Y. Gu et al. 10.1093/gji/ggad484
- Spatiotemporal Change in Evapotranspiration across the Indus River Basin Detected by Combining GRACE/GRACE-FO and Swarm Observations L. Cui et al. 10.3390/rs15184469
- Reconstructing the data gap between GRACE and GRACE follow-on at the basin scale using artificial neural network Y. Lai et al. 10.1016/j.scitotenv.2022.153770
- Combined monthly GRACE-FO gravity fields for a Global Gravity-based Groundwater Product U. Meyer et al. 10.1093/gji/ggad437
- Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al. 10.1029/2022JB025561
- Spatiotemporal Evaluation of the Flood Potential Index and Its Driving Factors across the Volga River Basin Based on Combined Satellite Gravity Observations Z. Zou et al. 10.3390/rs15174144
- Time-dependent magnetic anomaly variations in Turkey and Greece using swarm satellites: A comprehensive precursory multi-track analysis of M≥6 earthquakes from 2017 to 2020 İ. Özsöz et al. 10.1016/j.jastp.2024.106210
- Dynamic GPS-based LEO orbit determination with 1 cm precision using the Bernese GNSS Software X. Mao et al. 10.1016/j.asr.2020.10.012
- Bridging the data gap between GRACE and GRACE-FO using artificial neural network in Greenland B. Zhang et al. 10.1016/j.jhydrol.2022.127614
- Swarm Uydu Verileri Kullanılarak 06 Şubat 2023 Pazarcık Depreminden Önceki Öncül Manyetik Sinyallerin Tespiti ve Yorumlanmasına Ait İlksel Sonuçlar İ. ÖZSÖZ 10.46464/tdad.1258315
- Comparison of Terrestrial Water Storage Changes Derived from GRACE/GRACE-FO and Swarm: A Case Study in the Amazon River Basin L. Cui et al. 10.3390/w12113128
- Evaluating different predictive strategies for filling the global GRACE/-FO terrestrial water storage anomalies gap X. Wan et al. 10.1016/j.jhydrol.2023.130216
- GNSS Profile from the Greenland Korth Expeditions in the Context of Satellite Data A. Bezděk et al. 10.3390/app11031115
- GOCO06s – a satellite-only global gravity field model A. Kvas et al. 10.5194/essd-13-99-2021
- Precise orbit determination for low Earth orbit satellites using GNSS: Observations, models, and methods X. Mao et al. 10.1007/s42064-023-0195-z
- A gap-filling algorithm selection strategy for GRACE and GRACE Follow-On time series based on hydrological signal characteristics of the individual river basins H. Karimi et al. 10.1515/jogs-2022-0129
- Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations M. Uz et al. 10.1016/j.scitotenv.2022.154701
- Gravity field recovery of inter-satellite links between Beidou navigation satellite system (BDS) and LEO based on geodesy and time reference in space (GETRIS) Y. Xiao et al. 10.1016/j.asr.2024.03.025
3 citations as recorded by crossref.
- Autoregressive Reconstruction of Total Water Storage within GRACE and GRACE Follow-On Gap Period A. Lenczuk et al. 10.3390/en15134827
- Long‐Term (1979‐Present) Total Water Storage Anomalies Over the Global Land Derived by Reconstructing GRACE Data F. Li et al. 10.1029/2021GL093492
- The Mass Change Designated Observable Study: Overview and Results D. Wiese et al. 10.1029/2022EA002311
Latest update: 18 Apr 2024
Short summary
Although not the primary mission of the Swarm three-satellite constellation, the sensors on these satellites are accurate enough to measure the melting and accumulation of Earth’s ice reservoirs, precipitation cycles, floods, and droughts, amongst others. Swarm sees these changes well compared to the dedicated GRACE satellites at spatial scales of roughly 1500 km. Swarm confirms most GRACE observations, such as the large ice melting in Greenland and the wet and dry seasons in the Amazon.
Although not the primary mission of the Swarm three-satellite constellation, the sensors on...
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