Academic literature on the topic 'GRACE Satellite'

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Journal articles on the topic "GRACE Satellite"

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Simonov, Konstantin, and Alexander Matsulev. "Comparative analysis and interpretation of grace and grace-fo data." Informatization and communication 4 (November 2020): 101–6. http://dx.doi.org/10.34219/2078-8320-2020-11-4-101-106.

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The study is devoted to the analysis of the features of the change in the Equivalent Water Height (EWH) parameter over the geoid based on satellite measurements of space systems. The study used the GRACE and GRACE-FO satellite data archive. The assessment was carried out on Earth as a whole, including land areas and the World Ocean. Interpretation of the anomalous state of the geoenvironment is performed using digital maps of the spatial distribution of the EWH parameter based on the histogram approach and correlation analysis. Also, a comparative analysis of the studied data from the GRACE mission and data from the new GRACE-FO satellite system launched into orbit in the summer of 2018 was carried out.
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Darbeheshti, Neda, Henry Wegener, Vitali Müller, Majid Naeimi, Gerhard Heinzel, and Martin Hewitson. "Instrument data simulations for GRACE Follow-on: observation and noise models." Earth System Science Data 9, no. 2 (November 17, 2017): 833–48. http://dx.doi.org/10.5194/essd-9-833-2017.

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Abstract. The Gravity Recovery and Climate Experiment (GRACE) mission has yielded data on the Earth's gravity field to monitor temporal changes for more than 15 years. The GRACE twin satellites use microwave ranging with micrometre precision to measure the distance variations between two satellites caused by the Earth's global gravitational field. GRACE Follow-on (GRACE-FO) will be the first satellite mission to use inter-satellite laser interferometry in space. The laser ranging instrument (LRI) will provide two additional measurements compared to the GRACE mission: interferometric inter-satellite ranging with nanometre precision and inter-satellite pointing information. We have designed a set of simulated GRACE-FO data, which include LRI measurements, apart from all other GRACE instrument data needed for the Earth's gravity field recovery. The simulated data files are publicly available via https://doi.org/10.22027/AMDC2 and can be used to derive gravity field solutions like from GRACE data. This paper describes the scientific basis and technical approaches used to simulate the GRACE-FO instrument data.
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Guo, Nan-nan, Xu-hua Zhou, Kai Li, and Bin Wu. "Research on the impact factors of GRACE precise orbit determination by dynamic method." Journal of Applied Geodesy 12, no. 3 (July 26, 2018): 249–57. http://dx.doi.org/10.1515/jag-2018-0008.

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Abstract With the successful use of GPS-only-based POD (precise orbit determination), more and more satellites carry onboard GPS receivers to support their orbit accuracy requirements. It provides continuous GPS observations in high precision, and becomes an indispensable way to obtain the orbit of LEO satellites. Precise orbit determination of LEO satellites plays an important role for the application of LEO satellites. Numerous factors should be considered in the POD processing. In this paper, several factors that impact precise orbit determination are analyzed, namely the satellite altitude, the time-variable earth’s gravity field, the GPS satellite clock error and accelerometer observation. The GRACE satellites provide ideal platform to study the performance of factors for precise orbit determination using zero-difference GPS data. These factors are quantitatively analyzed on affecting the accuracy of dynamic orbit using GRACE observations from 2005 to 2011 by SHORDE software. The study indicates that: (1) with the altitude of the GRACE satellite is lowered from 480 km to 460 km in seven years, the 3D (three-dimension) position accuracy of GRACE satellite orbit is about 3∼4 cm based on long spans data; (2) the accelerometer data improves the 3D position accuracy of GRACE in about 1 cm; (3) the accuracy of zero-difference dynamic orbit is about 6 cm with the GPS satellite clock error products in 5 min sampling interval and can be raised to 4 cm, if the GPS satellite clock error products with 30 s sampling interval can be adopted. (4) the time-variable part of earth gravity field model improves the 3D position accuracy of GRACE in about 0.5∼1.5 cm. Based on this study, we quantitatively analyze the factors that affect precise orbit determination of LEO satellites. This study plays an important role to improve the accuracy of LEO satellites orbit determination.
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Guo, Xiang, and Qile Zhao. "A New Approach to Earth’s Gravity Field Modeling Using GPS-Derived Kinematic Orbits and Baselines." Remote Sensing 11, no. 14 (July 21, 2019): 1728. http://dx.doi.org/10.3390/rs11141728.

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Earth’s gravity field recovery from GPS observations collected by low earth orbiting (LEO) satellites is a well-established technique, and kinematic orbits are commonly used for that purpose. Nowadays, more and more satellites are flying in close formations. The GPS-derived kinematic baselines between them can reach millimeter precision, which is more precise than the centimeter-level kinematic orbits. Thus, it has long been expected that the more precise kinematic baselines can deliver better gravity field solutions. However, this expectation has not been met yet in practice. In this study, we propose a new approach to gravity field modeling, in which kinematic orbits of the reference satellite and baseline vectors between the reference satellite and its accompanying satellite are jointly inverted. To validate the added value, data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are used. We derive kinematic orbits and inter-satellite baselines of the twin GRACE satellites from the GPS data collected in the year of 2010. Then two sets of monthly gravity field solutions up to degree and order 60 are produced. One is derived from kinematic orbits of the twin GRACE satellites (‘orbit approach’). The other is derived from kinematic orbits of GRACE A and baseline vectors between GRACE A and B (‘baseline approach’). Analysis of observation postfit residuals shows that noise in the kinematic baselines is notably lower than the kinematic orbits by 50, 47 and 43% for the along-track, cross-track and radial components, respectively. Regarding the gravity field solutions, analysis in the spectral domain shows that noise of the gravity field solutions beyond degree 10 can be significantly reduced when the baseline approach is applied, with cumulative errors up to degree 60 being reduced by 34%, when compared to the orbit approach. In the spatial domain, the recovered mass changes with the baseline approach are more consistent with those inferred from the K-Band Ranging based solutions. Our results demonstrate that the proposed baseline approach is able to provide better gravity field solutions than the orbit approach. The findings may facilitate, among others, bridging the gap between GRACE and GRACE Follow-On satellite mission.
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Wickert, J., G. Beyerle, R. König, S. Heise, L. Grunwaldt, G. Michalak, Ch Reigber, and T. Schmidt. "GPS radio occultation with CHAMP and GRACE: A first look at a new and promising satellite configuration for global atmospheric sounding." Annales Geophysicae 23, no. 3 (March 30, 2005): 653–58. http://dx.doi.org/10.5194/angeo-23-653-2005.

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Abstract. CHAMP (CHAllenging Minisatellite Payload) and GRACE (Gravity Recovery And Climate Experiment) formed a satellite configuration for precise atmospheric sounding during the first activation of the GPS (Global Positioning System) radio occultation experiment aboard GRACE on 28 and 29 July 2004. 338 occultations were recorded aboard both satellites, providing globally distributed vertical profiles of refractivity, temperature and specific humidity. The combined set of CHAMP and GRACE profiles shows excellent agreement with meteorological analysis. Almost no refractivity bias is observed between 5 and 30km, the standard deviation is between 1 and 2% within this altitude interval. The GRACE satellite clock stability is significantly improved in comparison with CHAMP. This allows for the application of a zero difference technique for precise analysis of the GRACE occultation data.
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Han, S. C., C. Jekeli, and C. K. Shum. "Static and temporal gravity field recovery using grace potential difference observables." Advances in Geosciences 1 (June 17, 2003): 19–26. http://dx.doi.org/10.5194/adgeo-1-19-2003.

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Abstract. The gravity field dedicated satellite missions like CHAMP, GRACE, and GOCE are supposed to map the Earth’s global gravity field with unprecedented accuracy and resolution. New models of Earth’s static and time-variable gravity field will be available every month as one of the science products from GRACE. Here we present an alternative method to estimate the gravity field efficiently using the in situ satellite-to-satellite observations at the altitude and show results on static as well as temporal gravity field recovery. Considering the energy relation between the kinetic energy of the satellite and the gravitational potential, the disturbing potential difference observations can be computed from the orbital parameter vectors in the inertial frame, using the high-low GPS-LEO GPS tracking data, the low-low satelliteto- satellite GRACE measurements, and data from 3-axis accelerometers (Jekeli, 1999). The disturbing potential observation also includes other potentials due to tides, atmosphere, other modeled signals (e.g. N-body) and the geophysical fluid signals (hydrological and oceanic mass variations), which should be recoverable from GRACE mission with a monthly resolution. The simulation results confirm that monthly geoid accuracy is expected to be a few cm with the 160 km resolution (up to degree and order 120) once other corrections are made accurately. The time-variable geoids (ocean and ground water mass) might be recovered with a noise-to-signal ratio of 0.1 with the resolution of 800 km every month assuming no temporal aliasing.Key words. GRACE mission, Energy integral, Geopotential, Satellite-to-satellite tracking, Temporal gravity field
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Wiese, D. N., B. Killett, M. M. Watkins, and D. ‐N Yuan. "Antarctic tides from GRACE satellite accelerations." Journal of Geophysical Research: Oceans 121, no. 5 (May 2016): 2874–86. http://dx.doi.org/10.1002/2015jc011488.

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Zhong, Luping, Krzysztof Sośnica, Matthias Weigelt, Bingshi Liu, and Xiancai Zou. "Time-Variable Gravity Field from the Combination of HLSST and SLR." Remote Sensing 13, no. 17 (September 2, 2021): 3491. http://dx.doi.org/10.3390/rs13173491.

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The Earth’s time-variable gravity field is of great significance to study mass change within the Earth’s system. Since 2002, the NASA-DLR Gravity Recovery and Climate Experiment (GRACE) and its successor GRACE follow-on mission provide observations of monthly changes in the Earth gravity field with unprecedented accuracy and resolution by employing low-low satellite-to-satellite tracking (LLSST) measurements. In addition to LLSST, monthly gravity field models can be acquired from satellite laser ranging (SLR) and high-low satellite-to-satellite tracking (HLSST). The monthly gravity field solutions HLSST+SLR were derived by combining HLSST observations of low earth orbiting (LEO) satellites with SLR observations of geodetic satellites. Bandpass filtering was applied to the harmonic coefficients of HLSST+SLR solutions to reduce noise. In this study, we analyzed the performance of the monthly HLSST+SLR solutions in the spectral and spatial domains. The results show that: (1) the accuracies of HLSST+SLR solutions are comparable to those from GRACE for coefficients below degree 10, and significantly improved compared to those of SLR-only and HLSST-only solutions; (2) the effective spatial resolution could reach 1000 km, corresponding to the spherical harmonic coefficient degree 20, which is higher than that of the HLSST-only solutions. Compared with the GRACE solutions, the global mass redistribution features and magnitudes can be well identified from HLSST+SLR solutions at the spatial resolution of 1000 km, although with much noise. In the applications of regional mass recovery, the seasonal variations over the Amazon Basin and the long-term trend over Greenland derived from HLSST+SLR solutions truncated to degree 20 agree well with those from GRACE solutions without truncation, and the RMS of mass variations is 282 Gt over the Amazon Basin and 192 Gt in Greenland. We conclude that HLSST+SLR can be an alternative option to estimate temporal changes in the Earth gravity field, although with far less spatial resolution and lower accuracy than that offered by GRACE. This approach can monitor the large-scale mass transport during the data gaps between the GRACE and the GRACE follow-on missions.
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Eshagh, M., M. Abdollahzadeh, and M. Najafi-Alamdari. "Simplification of Geopotential Perturbing Force Acting on A Satellite." Artificial Satellites 43, no. 2 (January 1, 2008): 45–64. http://dx.doi.org/10.2478/v10018-009-0006-7.

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Simplification of Geopotential Perturbing Force Acting on A SatelliteOne of the aspects of geopotential models is orbit integration of satellites. The geopotential acceleration has the largest influence on a satellite with respect to the other perturbing forces. The equation of motion of satellites is a second-order vector differential equation. These equations are further simplified and developed in this study based on the geopotential force. This new expression is much simpler than the traditional one as it does not derivatives of the associated Legendre functions and the transformations are included in the equations. The maximum degree and order of the geopotential harmonic expansion must be selected prior to the orbit integration purposes. The values of the maximum degree and order of these coefficients depend directly on the satellite's altitude. In this article, behaviour of orbital elements of recent geopotential satellites, such as CHAMP, GRACE and GOCE is considered with respect to the different degree and order of geopotential coefficients. In this case, the maximum degree 116, 109 and 175 were derived for the Earth gravitational field in short arc orbit integration of the CHAMP, GRACE and GOCE, respectively considering millimeter level in perturbations.
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Meyer, Ulrich, Krzysztof Sosnica, Daniel Arnold, Christoph Dahle, Daniela Thaller, Rolf Dach, and Adrian Jäggi. "SLR, GRACE and Swarm Gravity Field Determination and Combination." Remote Sensing 11, no. 8 (April 22, 2019): 956. http://dx.doi.org/10.3390/rs11080956.

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Satellite gravimetry allows for determining large scale mass transport in the system Earth and to quantify ice mass change in polar regions. We provide, evaluate and compare a long time-series of monthly gravity field solutions derived either by satellite laser ranging (SLR) to geodetic satellites, by GPS and K-band observations of the GRACE mission, or by GPS observations of the three Swarm satellites. While GRACE provides gravity signal at the highest spatial resolution, SLR sheds light on mass transport in polar regions at larger scales also in the pre- and post-GRACE era. To bridge the gap between GRACE and GRACE Follow-On, we also derive monthly gravity fields using Swarm data and perform a combination with SLR. To correctly take all correlations into account, this combination is performed on the normal equation level. Validating the Swarm/SLR combination against GRACE during the overlapping period January 2015 to June 2016, the best fit is achieved when down-weighting Swarm compared to the weights determined by variance component estimation. While between 2014 and 2017 SLR alone slightly overestimates mass loss in Greenland compared to GRACE, the combined gravity fields match significantly better in the overlapping time period and the RMS of the differences is reduced by almost 100 Gt. After 2017, both SLR and Swarm indicate moderate mass gain in Greenland.
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Dissertations / Theses on the topic "GRACE Satellite"

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Joodaki, Gholamreza. "Earth Mass Change Tracking Using GRACE Satellite Gravity Data." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for bygg, anlegg og transport, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23969.

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This project is dealing with the estimation of present-day Earth’s mass transport and its redistribution by using observations from Gravity Recovery and Climate Experiment (GRACE) satellite mission. GRACE measures the gravity fluctuations which are primarily related to redistribution of water around the globe. GRACE data has yield profound new insights into melting rates of ice sheets and mountain glaciers, land hydrology, ocean circulation, and sea level rise. In this project, first, the ice melting rate in the Greenlandic ice sheet is studied. This is done by analyzing the time series of monthly GRACE release 04 gravity field solutions from three different data sets, CSR (Center for Space Research), GFZ (Geoforschungszentrum), and JPL (Jet Propulsion Laboratory) with respect to their long-term temporal changes. The data are de-striped by applying a non-isotropic filter. Also, a method for reducing the leakage effects is developed. As an example, the ice mass balance is estimated of -163 ± 20 Gt/yr based on the CSR release 04 and smoothing by a parameter of a =1013 during April 2002 to February 2010. The results also show that the spatial distribution of the ice mass loss is changing with time and the ice mass loss is accelerating. For example, its acceleration is a rate of -32±6 Gt/yr2 during 2002 to 2011. The second part of this project is concern with the determination of water mass changes in the Nordic Seas. It is determined by analyzing the time series of monthly GRACE level 2 release 04 data from GFZ during October 2002 to October 2010. The striping errors are reduced by using a non-isotropic filter and the data are smoothed by a parameter of a =1014 according to Gaussian smoothing radius of 530 km. The time series of water mass changes are used to study the steric sea height variations over the Nordic Seas during the same period of study. This is done by analyzing the time series of monthly sea level anomaly from ENVISAT (Environmental Satellite) altimetry data, cycles 10 to 93, among the time series of water mass changes. The results show that the interdisciplinary nature of the GRACE measurements have opened up the unique opportunity to enhance our knowledge on the interaction between Earth system components and their response to climate variability. In the last part of this project, variations of the continental total water storage, total groundwater storage, and anthropogenic contributions across the Middle East are studied. By using a mascon analysis method and GRACE level 2 release 05 data from CSR during February 2003 to December 2012, the time series of total water storage, total ground water storage and anthropogenic contributions are estimated over this region. The region is subdivided to seven mascons including Iran, Iraq, Syria, eastern Turkey (east of 35º longitude), northern and southern Saudi Arabia (north and south of 25º latitude), and the region immediately west of Caspian Sea. The total groundwater storage, and anthropogenic contributions are separated from the total water storage by using the CLM4.5 (version 4.5 of the Community Land Model) hydrological model. The results show that Iran with a rate of 25±6 Gt/yr has the most groundwater loss rate during February 2003 to December 2012 in this region. The Iran’s rate of groundwater loss from the GRACE data is supported by an analysis of in situ well data from across Iran. The results also show that the GRACE mission is able to monitor monthly water storage changes within river basins and aquifers that are 200,000 km2 or larger in area, and, can contribute to water management at regional and national scales, and to international policy discussions as well.

 

 

 

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Han, Shin-Chan. "Efficient global gravity field determination from satellite-to-satellite tracking." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1061995200.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xvii, 198 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Christopher Jekeli, Dept. of Geodetic Science and Surveying. Includes bibliographical references (p. 192-198).
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Yamamoto, Keiko. "Study on regional scale mass variation using GRACE satellite gravity data." 京都大学 (Kyoto University), 2007. http://hdl.handle.net/2433/59309.

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Habana, Nlingilili Oarabile Kgosietsile. "Gravity Recovery by Kinematic State Vector Perturbation from Satellite-to-Satellite Tracking for GRACE-like Orbits over Long Arcs." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1578042687104082.

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Scheller, Marita. "Bestimmung hydrologischer Massenvariationen aus GRACE-Daten am Beispiel sibirischer Flusssysteme." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-103852.

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Aus Beobachtungsdaten der Satellitenmission GRACE (Gravity Recovery and Climate Experiment) können Variationen des Erdschwerefeldes auf großen räumlichen Skalen mit hoher Genauigkeit abgeleitet werden. Die Variationen auf zeitlichen Skalen von mehreren Tagen bis Wochen und räumlichen Skalen von wenigen hundert Kilometern sind insbesondere auf Änderungen der kontinentalen Wassermassen zurückzuführen. Die vorliegende Promotionsarbeit beschäftigt sich mit der Bestimmung hydrologischer Massenvariationen aus GRACE-Daten am Beispiel der vier größten sibirischen Flusseinzugsgebiete Ob, Jenissei, Lena und Kolyma. Darauf aufbauend sollen in Kombination mit atmosphärischen Daten der NCEP-Reanalyse Süßwassereinträge in den Arktischen Ozean abgeleitet werden. Die Süßwassereinträge beeinflussen nachhaltig den Salzgehalt und damit das ozeanographische Regime des Arktischen Ozeans, welcher wiederum einen Einfluss auf die globale thermohaline Zirkulation hat. Da die großen Strömungen des Weltozeans einen grundlegenden Faktor des globalen Klimageschehens darstellen, sind die Änderungen des Süßwassereintrages ein wichtiger Aspekt hinsichtlich prognostizierter Klimatrends. Der Abfluss kann an ausgewählten Messpunkten mit einer hohen zeitlichen Auflösung beobachtet werden. Die Datenreihen weisen jedoch immer wieder Lücken auf und die bodengebundenen Messungen sind oft schwierig und kostenintensiv. Messmethoden, die unabhängig vom Zugang ins Messgebiet sind, können einen großen Fortschritt bei der Beobachtung sich ändernder Massen und Süßwasserflüsse leisten und damit einen Beitrag für ein besseres Verständnis gekoppelter komplexer Prozesse der Arktis liefern. Da die Fehlerstruktur der GRACE-Daten komplex und bis heute nicht vollständig verstanden ist, erfolgt zunächst eine Untersuchung des GRACE-Fehlerhaushaltes. Zudem werden die Fehlereffekte aufgrund des begrenzten räumlichen Spektrums und damit einhergehender Leck-Effekte auf Ebene von Gebietsmittelwerten analysiert und Lösungsvorschläge diskutiert. Dabei sind folgende Aspekte von Bedeutung: Erweiterung der GRACE-Datenreihe um geeigente Terme ersten Grades und Abschätzung von Leck-Effekten, verursacht durch das begrenzte Spektrum der Kugelfunktionsentwicklung. Leck-Effekte aufgrund ozeanischer Signalanteile sind bzgl. der Einzugsgebiete sibirischer Flusssysteme klein (< 1%), wohingegen Leck-Effekte aufgrund kontinentaler Signalanteile je nach Gebietsgröße relative Fehler von 8-17% nach sich ziehen. Die größten Fehlereffekte resultieren jedoch aus den Koeffizienten hoher Grade. Die Filterung der GRACE-Daten ermöglicht die Glättung fehlerbehafterer Signalanteile. Neben den in der Literatur gängigen Filtern wurde im Rahmen der Arbeit ein Kombinationsfilter entwickelt, welches auf Basis von räumlichen Vorinformationen aus Hydrologiemodellen signifikante Signalstrukturen in den GRACE-Datenreihen detektiert. Somit muss lediglich ein Restsignal mittels Filterung gedämpft werden. Mit dem Kombinationsfilter können sowohl feinere Signalstrukturen als auch größere Signalamplituden auf Land erhalten werden. Im Vergleich zu reinen Filteranwendungen werden hier Gesamtsignalstärke, Amplitude und Phase des jährlichen Signals gut repräsentiert. Darauf aufbauend lassen sich, in Kombination mit atmosphärischen Daten, Abflüsse für die sibirischen Flusssysteme aus GRACE-Wasserspeichervariationen ableiten. Die Validierung der berechneten Abflüsse anhand beobachteter Abflüsse zeigt eine hohe Übereinstimmung von bis zu 83%. Eine Gegenüberstellung des berechneten Abflusses der Lena mit Wasserstandsmessungen im Mündungsbereich zeigt zudem einen Zusammenhang zwischen dem maximalen Abfluss im Frühjahr und einer Zunahme des Wasserstandes in der Laptewsee
The satellite mission GRACE (Gravity Recovery and Climate Experiment) observes the earth's gravity field on temporal scales of a few days to several weeks and spatial scales of a few hundred kilometers with high accuracy. A large part of the variations of the gravity field originate from hydrological mass changes on the continents. The dissertation discusses the determination of hydrological mass variations from GRACE for the Siberian water systems of the rivers Ob, Yenisey, Lena and Kolyma. The mass variations from GRACE data are combined with atmospheric data of the NCEP reanalysis to calculate the freshwater fluxes in the Arctic Ocean. The freshwater fluxes strongly influences the salinity and the oceanographic regime of the Arctic Ocean. In turn, the Arctic Ocean controls the global thermohaline circulation which is very important for the global climate. Because these large currents of the ocean influence the global climate, the changes of the freshwater fluxes in the Arctic Ocean are an important factor for the global climate change. The runoff can be measured pointwise with high temporal resolution, but measurements in the high latitudes are difficulty and expensive. Independent methods to measure the mass changes in the Arctic can help to determine the freshwater fluxes on large spatial scales, and contribute to understand the coupled and complex processes of the Arctic. Until present, the complex error structure of the GRACE data are not fully understand. The dissertation examines the errors and analysizes the leakage caused by the limited spectrum of the Stokes coefficients. A proposal for a solution will be discussed. The following steps are important: Expanding the GRACE data with adequate terms of degree one; Valuation of leakage errors because of the limited spectrum. Leakage due to oceanographic signals of the Arctic Ocean are small (< 1%). Leakage errors due to signals on land produces relative errors of basin averages of 8-17%. Beyond that, the largest errors are caused by the coefficients of higher degree. Filtering is an effective method to damp the error signals. In addition to the common filters described in the literature, a filter method, called composite filter, was created. Significant structures from hydrological models can be deteceted in the GRACE data without any other filtering. Only the residual signals should be filtered by using one of the common filters. In comparison to the common filters, the composite filter represents the signal strength, the signal structures, the amplitude and the phase of the saisonal signal on the continents much better. Combining hydrological mass variations from GRACE data with atmospheric data (for example the NCEP reanalysis) the runoff of the four Siberian river systems can be calculated. The validation of the calculated runoff using observations leads to a good agreement (83% for Yenisey and Lena). Furthermore, it is possible to combine the runoff of a river system with measurements of water level and salinity in the Arctic Ocean. The high runoff of the Lena river system in spring is visible in the water level changes in the Laptev sea
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Poropat, Lea [Verfasser]. "Importance of numerical ocean modelling and in situ ocean bottom pressure observations for satellite gravimetry from GRACE and GRACE-FO / Lea Poropat." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1215571895/34.

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Sutton, Eric K. "Effects of solar disturbances on the thermosphere densities and winds from CHAMP and GRACE satellite accelerometer data." Connect to online resource, 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3303901.

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Kazemzadeh, Samimi Anahita. "Estimation of regional groundwater level through calibration of GRACE satellite data : A case study in southern half of Sweden." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13634.

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Lombardo, Marco. "Numerical simulations of the orbit determination of a small sat mission for gravity investigations based on Satellite-to-Satellite Tracking." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18501/.

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In the recent years small satellites technology is growing up very fast. The use of a small sized spacecraft allows to reduce the costs of construction and launch without make particular compromise in terms of scientific objectives. Recently the small satellites have been used also as complement in a deep space mission and so new engineering challenges have born. The purpose of this master thesis rely on a particular small satellites mission concept that would improve the gravity investigations accuracy of a target body but with a lower cost. This mission case is based on the employment of a pair of small satellites that use the Satellite-to-Satellite Tracking technique to generates the observable quantities used for the orbit determination process and for the scientific analysis. These observables are two-way Doppler data obtained from the frequency shift of a stable microwave carrier transmitted between the two spacecrafts. Through these measurements it is possible to determine the static and dynamic gravity field of a body. The utilization of the SST, together with the small satellites technology, would certainly reduce the complexity and the costs, with an increment of estimation accuracy, but with the introduction of new potential engineering problems. The targets of the proposed SST mission concept are Titan, Enceladus and Europa. In each of these mission cases the two smallsats are placed on the same orbit, with a given angular separation. The objectives of this thesis were focused on the analysis of the SST technique, the numerical simulation of the orbit determination of the spacecrafts and the obtainable accuracy of the moon's gravity field estimation. Following these targets different orbital geometries were studied, to identify the most promising configurations. All the numerical evaluations have been conducted with the astro available at the Radio Science and Planetary Exploration Laboratory of the University of Bologna.
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Vishwakarma, Bramha Dutt [Verfasser], and Nico [Akademischer Betreuer] Sneeuw. "Understanding and repairing the signal damage due to filtering of mass change estimates from the GRACE satellite mission / Bramha Dutt Vishwakarma ; Betreuer: Nico Sneeuw." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2017. http://d-nb.info/1138234877/34.

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Books on the topic "GRACE Satellite"

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Identification and modeling of sea level change contributors: On GRACE satellite gravity data and their applications to climate monitoring. Delft: NCG, 2010.

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China International Conference on High-Performance Ceramics (4th 2005 Chengdu, China). High performance ceramics IV: Proceedings of the fourth China International Conference on High-Performance Ceramics (CICC-4) (incorporating the second International Workshop on Layered and Grade materials and the first Satellite Symposium on Thermoelectrics), Chengdu, China, October 23 - 26, 2005. Stafa-Zuerich: Trans Tech Publications, 2007.

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Center, Goddard Space Flight, ed. GRACE: Gravity Recovery and Climate Experiment. [Greenbelt, MD]: Goddard Space Flight Center, 2002.

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Book chapters on the topic "GRACE Satellite"

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Pail, Roland. "CHAMP-, GRACE-, GOCE-Satellite Projects." In Encyclopedia of Geodesy, 1–11. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02370-0_29-1.

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Khaki, Mehdi. "Efficient Assimilation of GRACE TWS into Hydrological Models." In Satellite Remote Sensing in Hydrological Data Assimilation, 51–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37375-7_6.

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Svehla, Drazen. "First GPS Baseline in Space—The GRACE Mission." In Geometrical Theory of Satellite Orbits and Gravity Field, 83–89. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76873-1_8.

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Bouman, Johannes, Martin Fuchs, Verena Lieb, Wolfgang Bosch, Denise Dettmering, and Michael Schmidt. "GOCE Gravity Gradients: Combination with GRACE and Satellite Altimetry." In Advanced Technologies in Earth Sciences, 89–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32135-1_11.

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Peterseim, Nadja, Anja Schlicht, Jakob Flury, and Christoph Dahle. "Identification and Reduction of Satellite-Induced Signals in GRACE Accelerometer Data." In Advanced Technologies in Earth Sciences, 53–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32135-1_7.

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Andersen, O. B., P. E. Krogh, P. Bauer-Gottwein, S. Leiriao, R. Smith, and P. Berry. "Terrestrial Water Storage from GRACE and Satellite Altimetry in the Okavango Delta (Botswana)." In Gravity, Geoid and Earth Observation, 521–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10634-7_69.

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Michalak, Grzegorz, and Rolf König. "Near-Real Time Satellite Orbit Determination for GPS Radio Occultation with CHAMP and GRACE." In Advanced Technologies in Earth Sciences, 443–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10228-8_39.

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Singh, Anil Kumar, Jayant Nath Tripathi, Ajay Kumar Taloor, Bahadur Singh Kotlia, Kamalesh Kumar Singh, and Shiv Dass Attri. "Seasonal Ground Water Fluctuation Monitoring Using GRACE Satellite Technology Over Punjab and Haryana During 2005–2015." In Water, Cryosphere, and Climate Change in the Himalayas, 175–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67932-3_11.

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Ghobadi-Far, K., S. C. Han, B. D. Loomis, and S. B. Luthcke. "On Computation of Potential, Gravity and Gravity Gradient from GRACE Inter-Satellite Ranging Data: A Systematic Study." In International Symposium on Advancing Geodesy in a Changing World, 91–96. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/1345_2018_39.

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Chen, J. L., and C. R. Wilson. "Assessment of Degree-2 Zonal Gravitational Changes from GRACE, Earth Rotation, Climate Models, and Satellite Laser Ranging." In Gravity, Geoid and Earth Observation, 669–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-10634-7_88.

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Conference papers on the topic "GRACE Satellite"

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Jorgensen, Clark. "Project scale exploration using GRACE satellite gravity data: two case studies." In SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012. http://dx.doi.org/10.1190/segam2012-1326.1.

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Kowalczyk, Kamil, and Joanna Kuczynska-Siehien. "Testing Correlation between Vertical Crustal Movements and Geoid Uplift for North Eastern Polish Border Areas." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.206.

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Abstract:
Long time span of observations from GNSS permanent stations can be used in the development of models of vertical crustal movements. The absolute vertical crustal movement related to the ellipsoid consists of the observed movement with relation to the mean sea level, the eustatic movement and the geoid uplift. The geoid uplift can be determined from GRACE satellite mission observations. The calculated parameters can be compared with the theoretical ones. The aim of this study is to check the correlation between vertical crustal movements and a geoid height variations determined from satellite data. GNSS data, levelling data and satellite observations for north eastern Polish border areas were used as a case study. Temporal variations of geoid were calculated based on the geopotential models from GRACE satellite observations. The obtained results give an overview of a possibility of the proposed method usage.
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"Evaluation of multiple satellite evaporation products in two dryland regions using GRACE." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.f11.lopez.

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Presti, D., J. Herman, and A. Codazzi. "Mission Operations System Design and Adaptations for the Twin-Satellite Mission GRACE." In Space OPS 2004 Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-382-219.

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Jin, Shuanggen, and Ayman A. Hassan. "Water discharge in East Africa from grace, satellite altimetry and Landsat data." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729515.

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Scanlon, Bridget R., and Zizhan Zhang. "ASSESSING THE RELIABILITY OF GLOBAL MODELS USING COMPARISONS WITH GRACE SATELLITE DATA." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-336140.

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Kashkin, Valentine B., Konstantin V. Simonov, Tatyana V. Rubleva, and Alexander N. Matsulev. "Features of the structure of seismically active zones earthquakes by satellite measurements Grace." In XXV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, edited by Gennadii G. Matvienko and Oleg A. Romanovskii. SPIE, 2019. http://dx.doi.org/10.1117/12.2540762.

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Huang, Ran, Jianxi Huang, Chao Zhang, Wen Zhuo, and Dehai Zhu. "Drought Monitoring Over the Northeast China Using GRACE Satellite Data from 2002 to 2016." In 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics). IEEE, 2018. http://dx.doi.org/10.1109/agro-geoinformatics.2018.8476013.

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Li, Le, Lajiao Chen, and Lizhe Wang. "A research on terrestrial water storage variations with grace satellite data in the Jing-Jin-Ji region." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730626.

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Baumann, Sabine. "Estimating glacier mass changes by GRACE satellite gravimetry in the Pamir and Tien-Shan mountains, Central Asia." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350481.

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Reports on the topic "GRACE Satellite"

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Crowley, J. W. Monitoring groundwater changes in southern Ontario using GRACE satellite gravity measurements. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/313577.

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Sutton, Eric K. Accelerometer-Derived Atmospheric Density from the CHAMP and GRACE Satellites. Version 2.3. Fort Belvoir, VA: Defense Technical Information Center, February 2011. http://dx.doi.org/10.21236/ada537198.

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