Geodetic residual time series: A combined series by minimization of their internal noise level
This study aims to assess the hydrological effects of polar motion calculated from different combinations of geophysical excitations at decadal, seasonal, and non-seasonal periods. The geodetic residuals GAO, being a difference between observed geodetic excitation function of polar motion Geodetic A...
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| Format: | Article |
| Sprog: | English |
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Frontiers Media S.A.
2023-02-01
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| Serier: | Frontiers in Earth Science |
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| Online adgang: | https://www.frontiersin.org/articles/10.3389/feart.2023.1138410/full |
| _version_ | 1828003992065540096 |
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| author | Małgorzata Wińska |
| author_facet | Małgorzata Wińska |
| author_sort | Małgorzata Wińska |
| collection | DOAJ |
| description | This study aims to assess the hydrological effects of polar motion calculated from different combinations of geophysical excitations at decadal, seasonal, and non-seasonal periods. The geodetic residuals GAO, being a difference between observed geodetic excitation function of polar motion Geodetic Angular Momentum (GAM) and atmospheric (Atmospheric Angular Momentum—AAM) plus oceanic excitation functions (Oceanic Angular Momentum—OAM), are compared. Estimating hydrological effects on Earth’s rotation differs significantly, especially when using various oceanic models. Up to now, studies of geophysical excitations of polar motion containing AAM, OAM, and hydrological angular momentum (HAM) have not achieved entire agreement between geophysical (sum of AAM, OAM, and HAM obtained from the models) and geodetic excitation. Many geophysical models of the atmosphere, oceans, and land hydrology can be used to compute polar motion excitation. However, these models are very complex and still have uncertainties in the process descriptions, parametrization, and forcing. This work aims to show differences between various GAO solutions calculated from different mass and motion terms of various AAM and OAM models. Justifying to use one combination of GAO to estimate geodetic residuals is comparing those time series to hydrological excitations computed from Gravity Recovery and Climate Experiment (GRACE) data and the Land Surface Discharge Model (LSDM) model. Especially the quality of each geodetic residual time series is determined by estimating their noise level using a generalized formulation of the “three-cornered hat method” (3CH). This study presents a combined series of geodetic residuals GAO in polar motion (PM), wherein the internal noise level is shortened to a minimum by using the 3CH method. The combined GAO time series are compared with results obtained from the GRACE/GRACE Follow-On (GRACE-FO) solution provided by International Combination Service for Time variable Gravity Fields (COST-G) and the single solution elaborated by the Center for Space Research (CSR) and from the HAM LSDM hydrological model. The results show that higher consistency between GAO and HAM excitations can be achieved by minimizing the internal noise level in the GAO combined excitation series using the 3CH method, especially for the overall broadband and seasonal oscillations. For seasonal spectral bands, an agreement between combined GAO and the best-correlated series of GRACE CSR achieve correlations as high as 0.97 and 0.83 for the χ1 and χ2 equatorial components of PM excitation, respectively. This study’s combined geodetic residual time series slightly improved consistency between observed geodetic polar motion excitations and geophysical ones. |
| first_indexed | 2024-04-10T07:07:24Z |
| format | Article |
| id | doaj.art-94e566d23a2a4a93bbd8e08d9a1c4aa9 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-10T07:07:24Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-94e566d23a2a4a93bbd8e08d9a1c4aa92023-02-27T05:18:55ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-02-011110.3389/feart.2023.11384101138410Geodetic residual time series: A combined series by minimization of their internal noise levelMałgorzata WińskaThis study aims to assess the hydrological effects of polar motion calculated from different combinations of geophysical excitations at decadal, seasonal, and non-seasonal periods. The geodetic residuals GAO, being a difference between observed geodetic excitation function of polar motion Geodetic Angular Momentum (GAM) and atmospheric (Atmospheric Angular Momentum—AAM) plus oceanic excitation functions (Oceanic Angular Momentum—OAM), are compared. Estimating hydrological effects on Earth’s rotation differs significantly, especially when using various oceanic models. Up to now, studies of geophysical excitations of polar motion containing AAM, OAM, and hydrological angular momentum (HAM) have not achieved entire agreement between geophysical (sum of AAM, OAM, and HAM obtained from the models) and geodetic excitation. Many geophysical models of the atmosphere, oceans, and land hydrology can be used to compute polar motion excitation. However, these models are very complex and still have uncertainties in the process descriptions, parametrization, and forcing. This work aims to show differences between various GAO solutions calculated from different mass and motion terms of various AAM and OAM models. Justifying to use one combination of GAO to estimate geodetic residuals is comparing those time series to hydrological excitations computed from Gravity Recovery and Climate Experiment (GRACE) data and the Land Surface Discharge Model (LSDM) model. Especially the quality of each geodetic residual time series is determined by estimating their noise level using a generalized formulation of the “three-cornered hat method” (3CH). This study presents a combined series of geodetic residuals GAO in polar motion (PM), wherein the internal noise level is shortened to a minimum by using the 3CH method. The combined GAO time series are compared with results obtained from the GRACE/GRACE Follow-On (GRACE-FO) solution provided by International Combination Service for Time variable Gravity Fields (COST-G) and the single solution elaborated by the Center for Space Research (CSR) and from the HAM LSDM hydrological model. The results show that higher consistency between GAO and HAM excitations can be achieved by minimizing the internal noise level in the GAO combined excitation series using the 3CH method, especially for the overall broadband and seasonal oscillations. For seasonal spectral bands, an agreement between combined GAO and the best-correlated series of GRACE CSR achieve correlations as high as 0.97 and 0.83 for the χ1 and χ2 equatorial components of PM excitation, respectively. This study’s combined geodetic residual time series slightly improved consistency between observed geodetic polar motion excitations and geophysical ones.https://www.frontiersin.org/articles/10.3389/feart.2023.1138410/fullgeodetic excitations of polar motionhydrological angular momentumgeodetic residualshydrological signal in polar motionerror analysis |
| spellingShingle | Małgorzata Wińska Geodetic residual time series: A combined series by minimization of their internal noise level Frontiers in Earth Science geodetic excitations of polar motion hydrological angular momentum geodetic residuals hydrological signal in polar motion error analysis |
| title | Geodetic residual time series: A combined series by minimization of their internal noise level |
| title_full | Geodetic residual time series: A combined series by minimization of their internal noise level |
| title_fullStr | Geodetic residual time series: A combined series by minimization of their internal noise level |
| title_full_unstemmed | Geodetic residual time series: A combined series by minimization of their internal noise level |
| title_short | Geodetic residual time series: A combined series by minimization of their internal noise level |
| title_sort | geodetic residual time series a combined series by minimization of their internal noise level |
| topic | geodetic excitations of polar motion hydrological angular momentum geodetic residuals hydrological signal in polar motion error analysis |
| url | https://www.frontiersin.org/articles/10.3389/feart.2023.1138410/full |
| work_keys_str_mv | AT małgorzatawinska geodeticresidualtimeseriesacombinedseriesbyminimizationoftheirinternalnoiselevel |