| Reference : Quality Evaluation of the Weekly Vertical Loading Effects Induced from Continental Wa... |
| Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
| Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography | |||
| http://hdl.handle.net/10993/28983 | |||
| Quality Evaluation of the Weekly Vertical Loading Effects Induced from Continental Water Storage Models | |
| English | |
Li, Zhao  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| van Dam, Tonie [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| Collilieux, Xavier [IGN/LAREG and GRGS, Univ Paris Diderot, Sorbonne Paris Cité, Paris, France] | |
| Altamimi, Zuheir [IGN/LAREG and GRGS, Univ Paris Diderot, Sorbonne Paris Cité, Paris, France] | |
| Rebischung, Paul [IGN/LAREG and GRGS, Univ Paris Diderot, Sorbonne Paris Cité, Paris, France] | |
| Nahmani, Samuel [IGN/LAREG and GRGS, Univ Paris Diderot, Sorbonne Paris Cité, Paris, France] | |
| 2015 | |
| Proceedings of the 2013 IAG Scientific Assembly, Potsdam, Germany, 1-6 September, 2013 | |
| Willis, Pascal | |
| International Association of Geodesy Symposia 143 | |
| 45-54 | |
| Yes | |
| Yes | |
| International | |
| IAG 150 YEARS | |
| from 01-09-2013 to 06-09-2013 | |
| [en] Continental water storage ; GLDAS ; GPS height ; MERRA ; NCEP | |
| [en] To remove continental water storage (CWS) signals from the GPS data, CWS mass
models are needed to obtain predicted surface displacements. We compared weekly GPS height time series with five CWS models: (1) the monthly and (2) three-hourly Global Land Data Assimilation System (GLDAS); (3) the monthly and (4) one-hourly Modern- Era Retrospective Analysis for Research and Applications (MERRA); (5) the six-hourly National Centers for Environmental Prediction-Department of Energy (NCEP-DOE) global reanalysis products (NCEP-R-2). We find that of the 344 selected global IGS stations, more than 77% of stations have their weighted root mean square (WRMS) reduced in the weekly GPS height by using both the GLDAS and MERRA CWS products to model the surface displacement, and the best improvement concentrate mainly in North America and Eurasia.We find that the one-hourly MERRA-Land dataset is the most appropriate product for modeling weekly vertical surface displacement caused by CWS variations. The threehourly GLDAS data ranks the second, while the GLDAS and MERRA monthly products rank the third. The higher spatial resolution MERRA product improves the performance of the CWS model in reducing the scatter of the GPS height by about 2–6% compared with the GLDAS. Under the same spatial resolution, the higher temporal resolution could also improve the performance by almost the same magnitude. We also confirm that removing the ATML and NTOL effects from the weekly GPS height would remarkably improve the performance of CWS model in correcting the GPS height by at least 10%, especially for coastal and island stations. Since the GLDAS product has a much greater latency than the MERRA product, MERRA would be a better choice to model surface displacements from CWS. Finally, we find that the NCEP-R-2 data is not sufficiently precise to be used for this application. Further work is still required to determine the reason. | |
| http://hdl.handle.net/10993/28983 | |
| 10.1007/1345_2015_174 |
| File(s) associated to this reference | ||||||||||||||
|
Fulltext file(s):
| ||||||||||||||
All documents in ORBilu are protected by a user license.
