Articles | Volume 19, issue 14
https://doi.org/10.5194/acp-19-9453-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-19-9453-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Jul 2019
Research article |
| 24 Jul 2019
| 24 Jul 2019
Consistency and representativeness of integrated water vapour from ground-based GPS observations and ERA-Interim reanalysis
Université de Paris, Institut de physique du globe de Paris, CNRS,
IGN, Paris, France
ENSG-Géomatique, IGN, Marne-la-Vallée, France
Ana C. Parracho
LATMOS-IPSL, CNRS UMR8190, Sorbonne Université, Paris, France
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- Global Spatiotemporal Variability of Integrated Water Vapor Derived from GPS, GOME/SCIAMACHY and ERA-Interim: Annual Cycle, Frequency Distribution and Linear Trends R. Van Malderen et al. 10.3390/rs14041050
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- Evaluating errors due to unresolved scales in convection‐permitting numerical weather prediction J. Waller et al. 10.1002/qj.4043
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- Global warming at near-constant tropospheric relative humidity is supported by observations H. Douville et al. 10.1038/s43247-022-00561-z
- Implementation of Ready-Made Hydrostatic Delay Products for Timely GPS Precipitable Water Vapor Retrieval Over Complex Topography: A Case Study in the Tibetan Plateau H. Zhang et al. 10.1109/JSTARS.2021.3111910
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- Integrated water vapour observations in the Caribbean arc from a network of ground-based GNSS receivers during EUREC<sup>4</sup>A O. Bock et al. 10.5194/essd-13-2407-2021
- Sensitivity of Change-Point Detection and Trend Estimates to GNSS IWV Time Series Properties K. Nguyen et al. 10.3390/atmos12091102
- 10-Year assessment of GNSS integrated water vapour in the SIRGAS network P. Rosell et al. 10.1016/j.jsames.2023.104539
- Homogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets R. Van Malderen et al. 10.1029/2020EA001121
- Evaluation of Hourly PWV Products Derived From ERA5 and MERRA‐2 Over the Tibetan Plateau Using Ground‐Based GNSS Observations by Two Enhanced Models L. Huang et al. 10.1029/2020EA001516
- An analysis of multisource tropospheric hydrostatic delays and their implications for GPS/GLONASS PPP-based zenith tropospheric delay and height estimations H. Zhang et al. 10.1007/s00190-021-01535-3
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- Impact of Vertical Atmospheric Structure on an Atypical Fire in a Mountain Valley M. Ozaki et al. 10.3390/fire5040104
- Spatial–Temporal Relationship Study between NWP PWV and Precipitation: A Case Study of ‘July 20’ Heavy Rainstorm in Zhengzhou Y. Xu et al. 10.3390/rs14153636
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Latest update: 23 Nov 2024
Short summary
We examine the consistency of global IWV data from ERA-Interim reanalysis and 16 years of GPS observations. Representativeness differences are found to be a dominant error source, with a strong dependence on geographic, topographic, and climatic features, which explain both average and extreme differences. A methodology for reducing the representativeness errors and detecting the extreme, outlying, cases is discussed.
We examine the consistency of global IWV data from ERA-Interim reanalysis and 16 years of GPS...
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