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Multiple-data-based monthly geopotential model set LDCmgm90
While the GRACE (Gravity Recovery and Climate Experiment) satellite mission is of great significance in understanding various branches of Earth sciences, the quality of GRACE monthly products can be unsatisfactory due to strong longitudinal stripe-pattern errors and other flaws. Based on corrected G...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811530/ https://www.ncbi.nlm.nih.gov/pubmed/31645550 http://dx.doi.org/10.1038/s41597-019-0239-7 |
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author | Chen, Wei Luo, Jiesi Ray, Jim Yu, Nan Li, Jian Cheng |
author_facet | Chen, Wei Luo, Jiesi Ray, Jim Yu, Nan Li, Jian Cheng |
author_sort | Chen, Wei |
collection | PubMed |
description | While the GRACE (Gravity Recovery and Climate Experiment) satellite mission is of great significance in understanding various branches of Earth sciences, the quality of GRACE monthly products can be unsatisfactory due to strong longitudinal stripe-pattern errors and other flaws. Based on corrected GRACE Mascon (mass concentration) gridded mass transport time series and updated LDCgam (Least Difference Combination global angular momenta) data, we present a new set of monthly gravity models called LDCmgm90, in the form of Stokes coefficients with order and degree both up to 90. The LDCgam inputs are developed by assimilating degree-2 Stokes coefficients from various versions of GRACE (including Mascon products) and SLR (Satellite Laser Ranging) monthly gravity data into combinations of outputs from various global atmospheric, oceanic, and hydrological circulation models, under the constraints of accurately measured Earth orientation parameters in the Least Difference Combination (LDC) scheme. Taking advantages of the relative strengths of the various input solutions, the LDCmgm90 is free of stripes and some other flaws of classical GRACE products. |
format | Online Article Text |
id | pubmed-6811530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68115302019-10-30 Multiple-data-based monthly geopotential model set LDCmgm90 Chen, Wei Luo, Jiesi Ray, Jim Yu, Nan Li, Jian Cheng Sci Data Data Descriptor While the GRACE (Gravity Recovery and Climate Experiment) satellite mission is of great significance in understanding various branches of Earth sciences, the quality of GRACE monthly products can be unsatisfactory due to strong longitudinal stripe-pattern errors and other flaws. Based on corrected GRACE Mascon (mass concentration) gridded mass transport time series and updated LDCgam (Least Difference Combination global angular momenta) data, we present a new set of monthly gravity models called LDCmgm90, in the form of Stokes coefficients with order and degree both up to 90. The LDCgam inputs are developed by assimilating degree-2 Stokes coefficients from various versions of GRACE (including Mascon products) and SLR (Satellite Laser Ranging) monthly gravity data into combinations of outputs from various global atmospheric, oceanic, and hydrological circulation models, under the constraints of accurately measured Earth orientation parameters in the Least Difference Combination (LDC) scheme. Taking advantages of the relative strengths of the various input solutions, the LDCmgm90 is free of stripes and some other flaws of classical GRACE products. Nature Publishing Group UK 2019-10-23 /pmc/articles/PMC6811530/ /pubmed/31645550 http://dx.doi.org/10.1038/s41597-019-0239-7 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Chen, Wei Luo, Jiesi Ray, Jim Yu, Nan Li, Jian Cheng Multiple-data-based monthly geopotential model set LDCmgm90 |
title | Multiple-data-based monthly geopotential model set LDCmgm90 |
title_full | Multiple-data-based monthly geopotential model set LDCmgm90 |
title_fullStr | Multiple-data-based monthly geopotential model set LDCmgm90 |
title_full_unstemmed | Multiple-data-based monthly geopotential model set LDCmgm90 |
title_short | Multiple-data-based monthly geopotential model set LDCmgm90 |
title_sort | multiple-data-based monthly geopotential model set ldcmgm90 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811530/ https://www.ncbi.nlm.nih.gov/pubmed/31645550 http://dx.doi.org/10.1038/s41597-019-0239-7 |
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