Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2227-2021
© Author(s) 2021. 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-13-2227-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes
Simon Deggim
CORRESPONDING AUTHOR
Geodesy & Geoinformatics, HafenCity University Hamburg, 20457 Hamburg, Germany
Annette Eicker
CORRESPONDING AUTHOR
Geodesy & Geoinformatics, HafenCity University Hamburg, 20457 Hamburg, Germany
Lennart Schawohl
Geodesy & Geoinformatics, HafenCity University Hamburg, 20457 Hamburg, Germany
Helena Gerdener
Institute of Geodesy and Geoinformatics, University of Bonn, 53012 Bonn, Germany
Kerstin Schulze
Institute of Geodesy and Geoinformatics, University of Bonn, 53012 Bonn, Germany
Olga Engels
Institute of Geodesy and Geoinformatics, University of Bonn, 53012 Bonn, Germany
Jürgen Kusche
Institute of Geodesy and Geoinformatics, University of Bonn, 53012 Bonn, Germany
Anita T. Saraswati
Department of Engineering, University of Luxembourg, 4364 Luxembourg, Luxembourg
Tonie van Dam
Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, 1359 Luxembourg, Luxembourg
Laura Ellenbeck
Deutsches Geodätisches Forschungsinstitut, Technical University of Munich (DGFI-TUM), 80333 Munich, Germany
Denise Dettmering
Deutsches Geodätisches Forschungsinstitut, Technical University of Munich (DGFI-TUM), 80333 Munich, Germany
Christian Schwatke
Deutsches Geodätisches Forschungsinstitut, Technical University of Munich (DGFI-TUM), 80333 Munich, Germany
Stefan Mayr
Earth Observation Center, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany
Igor Klein
Earth Observation Center, German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany
Laurent Longuevergne
CNRS, Geosciences Rennes – UMR 6118, Université de Rennes, 35000 Rennes, France
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Jean-Pierre Vergnes, Nicolas Roux, Florence Habets, Philippe Ackerer, Nadia Amraoui, François Besson, Yvan Caballero, Quentin Courtois, Jean-Raynald de Dreuzy, Pierre Etchevers, Nicolas Gallois, Delphine J. Leroux, Laurent Longuevergne, Patrick Le Moigne, Thierry Morel, Simon Munier, Fabienne Regimbeau, Dominique Thiéry, and Pascal Viennot
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Helena Gerdener, Olga Engels, and Jürgen Kusche
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Felix L. Müller, Denise Dettmering, Claudia Wekerle, Christian Schwatke, Marcello Passaro, Wolfgang Bosch, and Florian Seitz
Earth Syst. Sci. Data, 11, 1765–1781, https://doi.org/10.5194/essd-11-1765-2019, https://doi.org/10.5194/essd-11-1765-2019, 2019
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Stefan Schröder, Anne Springer, Jürgen Kusche, Bernd Uebbing, Luciana Fenoglio-Marc, Bernd Diekkrüger, and Thomas Poméon
Hydrol. Earth Syst. Sci., 23, 4113–4128, https://doi.org/10.5194/hess-23-4113-2019, https://doi.org/10.5194/hess-23-4113-2019, 2019
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Felix L. Müller, Claudia Wekerle, Denise Dettmering, Marcello Passaro, Wolfgang Bosch, and Florian Seitz
The Cryosphere, 13, 611–626, https://doi.org/10.5194/tc-13-611-2019, https://doi.org/10.5194/tc-13-611-2019, 2019
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Tim Busker, Ad de Roo, Emiliano Gelati, Christian Schwatke, Marko Adamovic, Berny Bisselink, Jean-Francois Pekel, and Andrew Cottam
Hydrol. Earth Syst. Sci., 23, 669–690, https://doi.org/10.5194/hess-23-669-2019, https://doi.org/10.5194/hess-23-669-2019, 2019
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Sergei Rudenko, Saskia Esselborn, Tilo Schöne, and Denise Dettmering
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Tina Trautmann, Sujan Koirala, Nuno Carvalhais, Annette Eicker, Manfred Fink, Christoph Niemann, and Martin Jung
Hydrol. Earth Syst. Sci., 22, 4061–4082, https://doi.org/10.5194/hess-22-4061-2018, https://doi.org/10.5194/hess-22-4061-2018, 2018
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Kristin Vielberg, Ehsan Forootan, Christina Lück, Anno Löcher, Jürgen Kusche, and Klaus Börger
Ann. Geophys., 36, 761–779, https://doi.org/10.5194/angeo-36-761-2018, https://doi.org/10.5194/angeo-36-761-2018, 2018
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To predict the satellite's motion or its re-entry, the density surrounding the satellite needs to be known as precisely as possible. Usually empirical models are used to estimate the neutral density of the thermosphere, which is the region of the neutrally charged atmosphere. Here, based on calibrated accelerations measured by instruments on board satellites, we compute daily global maps to correct modeled densities. During times of high solar activity, corrections of up to 28 % are necessary.
Christina Lück, Jürgen Kusche, Roelof Rietbroek, and Anno Löcher
Solid Earth, 9, 323–339, https://doi.org/10.5194/se-9-323-2018, https://doi.org/10.5194/se-9-323-2018, 2018
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Since 2002, the GRACE mission provides estimates of the Earth's time-variable gravity field, from which one can derive ocean mass variability. Now that the GRACE mission has come to an end, it is especially important to find alternative ways for deriving ocean mass changes. For the first time, we use kinematic orbits of Swarm for computing ocean mass time series. We compute monthly solutions, but also show an alternative way of directly estimating time-variable spherical harmonic coefficients.
S. Deggim, T. P. Kersten, F. Tschirschwitz, and N. Hinrichsen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 87–94, https://doi.org/10.5194/isprs-archives-XLII-2-W8-87-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-87-2017, 2017
Mohammad Shamsudduha, Richard G. Taylor, Darren Jones, Laurent Longuevergne, Michael Owor, and Callist Tindimugaya
Hydrol. Earth Syst. Sci., 21, 4533–4549, https://doi.org/10.5194/hess-21-4533-2017, https://doi.org/10.5194/hess-21-4533-2017, 2017
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This study tests the phase and amplitude of GRACE TWS signals in the Upper Nile Basin from five commonly used gridded products (NASA's GRCTellus: CSR, JPL, GFZ; JPL-Mascons; GRGS) using in situ data and soil moisture from the Global Land Data Assimilation System. Resolution of changes in groundwater storage (ΔGWS) from GRACE is greatly constrained by the uncertain simulated soil moisture storage and the low amplitude in ΔGWS observed in deeply weathered crystalline rocks in the Upper Nile Basin.
Eva Boergens, Karina Nielsen, Ole B. Andersen, Denise Dettmering, and Florian Seitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-217, https://doi.org/10.5194/hess-2017-217, 2017
Revised manuscript not accepted
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The water levels of the Mekong River are observed with the SAR altimeter measurements of CryoSat-2. Even small rivers in the river system with a width of 50 m can be observed due to the higher resolution of the SAR measurements. To identify the rivers regardless of a land-water-mask we employ an unsupervised classification on features derived from the SAR measurements. The river water levels are validated and compared to gauge and Envisat data which shows the good performance of the SAR data.
T. P. Kersten, G. Büyüksalih, F. Tschirschwitz, T. Kan, S. Deggim, Y. Kaya, and A. P. Baskaraca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 403–409, https://doi.org/10.5194/isprs-archives-XLII-5-W1-403-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-403-2017, 2017
S. Deggim, T. P. Kersten, M. Lindstaedt, and N. Hinrichsen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W3, 209–215, https://doi.org/10.5194/isprs-archives-XLII-2-W3-209-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W3-209-2017, 2017
Ioana S. Muresan, Shfaqat A. Khan, Andy Aschwanden, Constantine Khroulev, Tonie Van Dam, Jonathan Bamber, Michiel R. van den Broeke, Bert Wouters, Peter Kuipers Munneke, and Kurt H. Kjær
The Cryosphere, 10, 597–611, https://doi.org/10.5194/tc-10-597-2016, https://doi.org/10.5194/tc-10-597-2016, 2016
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We use a regional 3-D outlet glacier model to simulate the behaviour of Jakobshavn Isbræ (JI) during 1990–2014. The model simulates two major accelerations in 1998 and 2003 that are consistent with observations. We find that most of the JI retreat during the simulated period is driven by the ocean parametrization used, and the glacier's subsequent response, which is largely governed by bed geometry. The study shows progress in modelling the temporal variability of the flow at JI.
C. Schwatke, D. Dettmering, W. Bosch, and F. Seitz
Hydrol. Earth Syst. Sci., 19, 4345–4364, https://doi.org/10.5194/hess-19-4345-2015, https://doi.org/10.5194/hess-19-4345-2015, 2015
M. Limberger, W. Liang, M. Schmidt, D. Dettmering, M. Hernández-Pajares, and U. Hugentobler
Ann. Geophys., 32, 1533–1545, https://doi.org/10.5194/angeo-32-1533-2014, https://doi.org/10.5194/angeo-32-1533-2014, 2014
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The determination of ionospheric key quantities such as the maximum electron density of the F2 layer, the corresponding F2 peak height and the F2 scale height are of high relevance in 4-D ionosphere modeling to provide information on the vertical structure of the electron density distribution. This paper discusses mathematical correlations between these parameters as derived from FORMOSAT-3/COSMIC radio occultations and regionally parameterized by means of polynomial B-splines.
S. A. Khan, K. K. Kjeldsen, K. H. Kjær, S. Bevan, A. Luckman, A. Aschwanden, A. A. Bjørk, N. J. Korsgaard, J. E. Box, M. van den Broeke, T. M. van Dam, and A. Fitzner
The Cryosphere, 8, 1497–1507, https://doi.org/10.5194/tc-8-1497-2014, https://doi.org/10.5194/tc-8-1497-2014, 2014
M. Limberger, W. Liang, M. Schmidt, D. Dettmering, and U. Hugentobler
Ann. Geophys., 31, 2215–2227, https://doi.org/10.5194/angeo-31-2215-2013, https://doi.org/10.5194/angeo-31-2215-2013, 2013
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
Related subject area
Geosciences – Geodesy
HydroSat: geometric quantities of the global water cycle from geodetic satellites
The cooperative IGS RT-GIMs: a reliable estimation of the global ionospheric electron content distribution in real time
Open access to regional geoid models: the International Service for the Geoid
GOCO06s – a satellite-only global gravity field model
Description of the multi-approach gravity field models from Swarm GPS data
ICGEM – 15 years of successful collection and distribution of global gravitational models, associated services, and future plans
Mohammad J. Tourian, Omid Elmi, Yasin Shafaghi, Sajedeh Behnia, Peyman Saemian, Ron Schlesinger, and Nico Sneeuw
Earth Syst. Sci. Data, 14, 2463–2486, https://doi.org/10.5194/essd-14-2463-2022, https://doi.org/10.5194/essd-14-2463-2022, 2022
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HydroSat as a global water cycle database provides estimates of and uncertainty in geometric quantities of the water cycle: (1) surface water extent of lakes and rivers, (2) water level time series of lakes and rivers, (3) terrestrial water storage anomaly, (4) water storage anomaly of lakes and reservoirs, and (5) river discharge estimates for large and small rivers.
Qi Liu, Manuel Hernández-Pajares, Heng Yang, Enric Monte-Moreno, David Roma-Dollase, Alberto García-Rigo, Zishen Li, Ningbo Wang, Denis Laurichesse, Alexis Blot, Qile Zhao, Qiang Zhang, André Hauschild, Loukis Agrotis, Martin Schmitz, Gerhard Wübbena, Andrea Stürze, Andrzej Krankowski, Stefan Schaer, Joachim Feltens, Attila Komjathy, and Reza Ghoddousi-Fard
Earth Syst. Sci. Data, 13, 4567–4582, https://doi.org/10.5194/essd-13-4567-2021, https://doi.org/10.5194/essd-13-4567-2021, 2021
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The upper part of the atmosphere, the ionosphere, is partially ionized, and it is being crossed by many multi-frequency signals of the Global Navigation Satellite System (GNSS) satellites. This unique source of data can be acquired in real time from hundreds of permanent GNSS receivers. The real-time processing providing the distribution of the ionospheric free electrons (Global Ionospheric Maps) can be done as well in real time. We present their updated real-time assessment and combination.
Mirko Reguzzoni, Daniela Carrion, Carlo Iapige De Gaetani, Alberta Albertella, Lorenzo Rossi, Giovanna Sona, Khulan Batsukh, Juan Fernando Toro Herrera, Kirsten Elger, Riccardo Barzaghi, and Fernando Sansó
Earth Syst. Sci. Data, 13, 1653–1666, https://doi.org/10.5194/essd-13-1653-2021, https://doi.org/10.5194/essd-13-1653-2021, 2021
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The International Service for the Geoid provides free access to a repository of geoid models. The most important ones are freely available to perform analyses on the evolution of the geoid computation research field. Furthermore, the ISG performs research taking advantage of its archive and organizes specific training courses on geoid determination. This paper aims at describing the service and showing the added value of the archive of geoid models for the scientific community and technicians.
Andreas Kvas, Jan Martin Brockmann, Sandro Krauss, Till Schubert, Thomas Gruber, Ulrich Meyer, Torsten Mayer-Gürr, Wolf-Dieter Schuh, Adrian Jäggi, and Roland Pail
Earth Syst. Sci. Data, 13, 99–118, https://doi.org/10.5194/essd-13-99-2021, https://doi.org/10.5194/essd-13-99-2021, 2021
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Earth's gravity field provides invaluable insights into the state and changing nature of our planet. GOCO06s combines over 1 billion measurements from 19 satellites to produce a global gravity field model. The combination of different observation principles allows us to exploit the strengths of each satellite mission and provide a high-quality data set for Earth and climate sciences.
João Teixeira da Encarnação, Pieter Visser, Daniel Arnold, Aleš Bezdek, Eelco Doornbos, Matthias Ellmer, Junyi Guo, Jose van den IJssel, Elisabetta Iorfida, Adrian Jäggi, Jaroslav Klokocník, Sandro Krauss, Xinyuan Mao, Torsten Mayer-Gürr, Ulrich Meyer, Josef Sebera, C. K. Shum, Chaoyang Zhang, Yu Zhang, and Christoph Dahle
Earth Syst. Sci. Data, 12, 1385–1417, https://doi.org/10.5194/essd-12-1385-2020, https://doi.org/10.5194/essd-12-1385-2020, 2020
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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.
E. Sinem Ince, Franz Barthelmes, Sven Reißland, Kirsten Elger, Christoph Förste, Frank Flechtner, and Harald Schuh
Earth Syst. Sci. Data, 11, 647–674, https://doi.org/10.5194/essd-11-647-2019, https://doi.org/10.5194/essd-11-647-2019, 2019
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ICGEM is a non-profit scientific service that contributes to any research area in which the use of gravity information is essential. ICGEM offers the largest collection of global gravity field models, interactive calculation and visualisation services and delivers high-quality datasets to researchers and students in geodesy, geophysics, glaciology, hydrology, oceanography, and climatology and most importantly general public. Static, temporal, and topographic gravity field models are available.
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Short summary
GRACE provides us with global changes of terrestrial water storage. However, the data have a low spatial resolution, and localized storage changes in lakes/reservoirs or mass change due to earthquakes causes leakage effects. The correction product RECOG RL01 presented in this paper accounts for these effects. Its application allows for improving calibration/assimilation of GRACE into hydrological models and better drought detection in earthquake-affected areas.
GRACE provides us with global changes of terrestrial water storage. However, the data have a low...
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