Eintrag weiter verarbeiten
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation
Gespeichert in:
| Zeitschriftentitel: | Journal of Geophysical Research: Solid Earth |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Journal of Geophysical Research: Solid Earth, 115, 2010, B11 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
|
| Schlagwörter: |
| author_facet |
Sabaka, T. J. Rowlands, D. D. Luthcke, S. B. Boy, J.‐P. Sabaka, T. J. Rowlands, D. D. Luthcke, S. B. Boy, J.‐P. |
|---|---|
| author |
Sabaka, T. J. Rowlands, D. D. Luthcke, S. B. Boy, J.‐P. |
| spellingShingle |
Sabaka, T. J. Rowlands, D. D. Luthcke, S. B. Boy, J.‐P. Journal of Geophysical Research: Solid Earth Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| author_sort |
sabaka, t. j. |
| spelling |
Sabaka, T. J. Rowlands, D. D. Luthcke, S. B. Boy, J.‐P. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2010jb007533 <jats:p>We describe Earth's mass flux from April 2003 through November 2008 by deriving a time series of mascons on a global 2° × 2° equal‐area grid at 10 day intervals. We estimate the mass flux directly from K band range rate (KBRR) data provided by the Gravity Recovery and Climate Experiment (GRACE) mission. Using regularized least squares, we take into account the underlying process dynamics through continuous space and time‐correlated constraints. In addition, we place the mascon approach in the context of other filtering techniques, showing its equivalence to anisotropic, nonsymmetric filtering, least squares collocation, and Kalman smoothing. We produce mascon time series from KBRR data that have and have not been corrected (forward modeled) for hydrological processes and find that the former produce superior results in oceanic areas by minimizing signal leakage from strong sources on land. By exploiting the structure of the spatiotemporal constraints, we are able to use a much more efficient (in storage and computation) inversion algorithm based upon the conjugate gradient method. This allows us to apply continuous rather than piecewise continuous time‐correlated constraints, which we show via global maps and comparisons with ocean‐bottom pressure gauges, to produce time series with reduced random variance and full systematic signal. Finally, we present a preferred global model, a hybrid whose oceanic portions are derived using forward modeling of hydrology but whose land portions are not, and thus represent a pure GRACE‐derived signal.</jats:p> Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation Journal of Geophysical Research: Solid Earth |
| doi_str_mv |
10.1029/2010jb007533 |
| facet_avail |
Online Free |
| finc_class_facet |
Biologie Allgemeine Naturwissenschaft Physik Technik Geologie und Paläontologie Geographie Chemie und Pharmazie Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDEwamIwMDc1MzM |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDEwamIwMDc1MzM |
| institution |
DE-Bn3 DE-Brt1 DE-D161 DE-Zwi2 DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 |
| imprint |
American Geophysical Union (AGU), 2010 |
| imprint_str_mv |
American Geophysical Union (AGU), 2010 |
| issn |
0148-0227 |
| issn_str_mv |
0148-0227 |
| language |
English |
| mega_collection |
American Geophysical Union (AGU) (CrossRef) |
| match_str |
sabaka2010improvingglobalmassfluxsolutionsfromgravityrecoveryandclimateexperimentgracethroughforwardmodelingandcontinuoustimecorrelation |
| publishDateSort |
2010 |
| publisher |
American Geophysical Union (AGU) |
| recordtype |
ai |
| record_format |
ai |
| series |
Journal of Geophysical Research: Solid Earth |
| source_id |
49 |
| title |
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_unstemmed |
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_full |
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_fullStr |
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_full_unstemmed |
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_short |
Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_sort |
improving global mass flux solutions from gravity recovery and climate experiment (grace) through forward modeling and continuous time correlation |
| topic |
Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics |
| url |
http://dx.doi.org/10.1029/2010jb007533 |
| publishDate |
2010 |
| physical |
|
| description |
<jats:p>We describe Earth's mass flux from April 2003 through November 2008 by deriving a time series of mascons on a global 2° × 2° equal‐area grid at 10 day intervals. We estimate the mass flux directly from K band range rate (KBRR) data provided by the Gravity Recovery and Climate Experiment (GRACE) mission. Using regularized least squares, we take into account the underlying process dynamics through continuous space and time‐correlated constraints. In addition, we place the mascon approach in the context of other filtering techniques, showing its equivalence to anisotropic, nonsymmetric filtering, least squares collocation, and Kalman smoothing. We produce mascon time series from KBRR data that have and have not been corrected (forward modeled) for hydrological processes and find that the former produce superior results in oceanic areas by minimizing signal leakage from strong sources on land. By exploiting the structure of the spatiotemporal constraints, we are able to use a much more efficient (in storage and computation) inversion algorithm based upon the conjugate gradient method. This allows us to apply continuous rather than piecewise continuous time‐correlated constraints, which we show via global maps and comparisons with ocean‐bottom pressure gauges, to produce time series with reduced random variance and full systematic signal. Finally, we present a preferred global model, a hybrid whose oceanic portions are derived using forward modeling of hydrology but whose land portions are not, and thus represent a pure GRACE‐derived signal.</jats:p> |
| container_issue |
B11 |
| container_start_page |
0 |
| container_title |
Journal of Geophysical Research: Solid Earth |
| container_volume |
115 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792343175217545219 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T16:47:30.976Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Improving+global+mass+flux+solutions+from+Gravity+Recovery+and+Climate+Experiment+%28GRACE%29+through+forward+modeling+and+continuous+time+correlation&rft.date=2010-11-01&genre=article&issn=0148-0227&volume=115&issue=B11&jtitle=Journal+of+Geophysical+Research%3A+Solid+Earth&atitle=Improving+global+mass+flux+solutions+from+Gravity+Recovery+and+Climate+Experiment+%28GRACE%29+through+forward+modeling+and+continuous+time+correlation&aulast=Boy&aufirst=J.%E2%80%90P.&rft_id=info%3Adoi%2F10.1029%2F2010jb007533&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792343175217545219 |
| author | Sabaka, T. J., Rowlands, D. D., Luthcke, S. B., Boy, J.‐P. |
| author_facet | Sabaka, T. J., Rowlands, D. D., Luthcke, S. B., Boy, J.‐P., Sabaka, T. J., Rowlands, D. D., Luthcke, S. B., Boy, J.‐P. |
| author_sort | sabaka, t. j. |
| container_issue | B11 |
| container_start_page | 0 |
| container_title | Journal of Geophysical Research: Solid Earth |
| container_volume | 115 |
| description | <jats:p>We describe Earth's mass flux from April 2003 through November 2008 by deriving a time series of mascons on a global 2° × 2° equal‐area grid at 10 day intervals. We estimate the mass flux directly from K band range rate (KBRR) data provided by the Gravity Recovery and Climate Experiment (GRACE) mission. Using regularized least squares, we take into account the underlying process dynamics through continuous space and time‐correlated constraints. In addition, we place the mascon approach in the context of other filtering techniques, showing its equivalence to anisotropic, nonsymmetric filtering, least squares collocation, and Kalman smoothing. We produce mascon time series from KBRR data that have and have not been corrected (forward modeled) for hydrological processes and find that the former produce superior results in oceanic areas by minimizing signal leakage from strong sources on land. By exploiting the structure of the spatiotemporal constraints, we are able to use a much more efficient (in storage and computation) inversion algorithm based upon the conjugate gradient method. This allows us to apply continuous rather than piecewise continuous time‐correlated constraints, which we show via global maps and comparisons with ocean‐bottom pressure gauges, to produce time series with reduced random variance and full systematic signal. Finally, we present a preferred global model, a hybrid whose oceanic portions are derived using forward modeling of hydrology but whose land portions are not, and thus represent a pure GRACE‐derived signal.</jats:p> |
| doi_str_mv | 10.1029/2010jb007533 |
| facet_avail | Online, Free |
| finc_class_facet | Biologie, Allgemeine Naturwissenschaft, Physik, Technik, Geologie und Paläontologie, Geographie, Chemie und Pharmazie, Land- und Forstwirtschaft, Gartenbau, Fischereiwirtschaft, Hauswirtschaft |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTAyOS8yMDEwamIwMDc1MzM |
| imprint | American Geophysical Union (AGU), 2010 |
| imprint_str_mv | American Geophysical Union (AGU), 2010 |
| institution | DE-Bn3, DE-Brt1, DE-D161, DE-Zwi2, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275 |
| issn | 0148-0227 |
| issn_str_mv | 0148-0227 |
| language | English |
| last_indexed | 2024-03-01T16:47:30.976Z |
| match_str | sabaka2010improvingglobalmassfluxsolutionsfromgravityrecoveryandclimateexperimentgracethroughforwardmodelingandcontinuoustimecorrelation |
| mega_collection | American Geophysical Union (AGU) (CrossRef) |
| physical | |
| publishDate | 2010 |
| publishDateSort | 2010 |
| publisher | American Geophysical Union (AGU) |
| record_format | ai |
| recordtype | ai |
| series | Journal of Geophysical Research: Solid Earth |
| source_id | 49 |
| spelling | Sabaka, T. J. Rowlands, D. D. Luthcke, S. B. Boy, J.‐P. 0148-0227 American Geophysical Union (AGU) Paleontology Space and Planetary Science Earth and Planetary Sciences (miscellaneous) Atmospheric Science Earth-Surface Processes Geochemistry and Petrology Soil Science Water Science and Technology Ecology Aquatic Science Forestry Oceanography Geophysics http://dx.doi.org/10.1029/2010jb007533 <jats:p>We describe Earth's mass flux from April 2003 through November 2008 by deriving a time series of mascons on a global 2° × 2° equal‐area grid at 10 day intervals. We estimate the mass flux directly from K band range rate (KBRR) data provided by the Gravity Recovery and Climate Experiment (GRACE) mission. Using regularized least squares, we take into account the underlying process dynamics through continuous space and time‐correlated constraints. In addition, we place the mascon approach in the context of other filtering techniques, showing its equivalence to anisotropic, nonsymmetric filtering, least squares collocation, and Kalman smoothing. We produce mascon time series from KBRR data that have and have not been corrected (forward modeled) for hydrological processes and find that the former produce superior results in oceanic areas by minimizing signal leakage from strong sources on land. By exploiting the structure of the spatiotemporal constraints, we are able to use a much more efficient (in storage and computation) inversion algorithm based upon the conjugate gradient method. This allows us to apply continuous rather than piecewise continuous time‐correlated constraints, which we show via global maps and comparisons with ocean‐bottom pressure gauges, to produce time series with reduced random variance and full systematic signal. Finally, we present a preferred global model, a hybrid whose oceanic portions are derived using forward modeling of hydrology but whose land portions are not, and thus represent a pure GRACE‐derived signal.</jats:p> Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation Journal of Geophysical Research: Solid Earth |
| spellingShingle | Sabaka, T. J., Rowlands, D. D., Luthcke, S. B., Boy, J.‐P., Journal of Geophysical Research: Solid Earth, Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation, Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| title | Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_full | Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_fullStr | Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_full_unstemmed | Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_short | Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| title_sort | improving global mass flux solutions from gravity recovery and climate experiment (grace) through forward modeling and continuous time correlation |
| title_unstemmed | Improving global mass flux solutions from Gravity Recovery and Climate Experiment (GRACE) through forward modeling and continuous time correlation |
| topic | Paleontology, Space and Planetary Science, Earth and Planetary Sciences (miscellaneous), Atmospheric Science, Earth-Surface Processes, Geochemistry and Petrology, Soil Science, Water Science and Technology, Ecology, Aquatic Science, Forestry, Oceanography, Geophysics |
| url | http://dx.doi.org/10.1029/2010jb007533 |