the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A New Reduction Model for Enhancing the Interpolation Accuracy of VMF1/VMF3 Tropospheric Products in GNSS Applications
Abstract. Grid-wise Vienna Mapping Functions 1 (VMF1) and Vienna Mapping Functions 3 (VMF3) tropospheric products have been widely used to interpolate the a priori zenith hydrostatic delay (ZHD) and zenith wet delay (ZWD) over the GNSS (Global Navigation Satellite Systems) stations for the mitigation of tropospheric delays inherited in GNSS observations. Since the two products only provide ground surface ZHD and ZWD for global grid points, the ZHD and ZWD of the four grid points nearest to the GNSS site need to be reduced to the same height of the GNSS site before a horizontal interpolation (e.g., bilinear interpolation or inverse-distance weighted interpolation) is implemented. However, the accuracy of the officially recommended simple reduction model may not be as good as desired if the height of a GNSS site largely differs from that of the four ground surface grid points to be used in the interpolation. In this contribution, a new reduction model for each grid point is developed for reducing the grid-wise ZHD and ZWD to the target height to improve the interpolation performance. The sample data for the modelling were the 10-year (2010–2019) ZHD and ZWD profiles over the grid points obtained from ERA5 monthly-mean reanalysis data, while 3-year (2020–2022) ERA5 hourly reanalysis and IGS (International GNSS Service) site-wise ZTD products were used to evaluate the new model. Test results showed that the accuracy of the ZHD, ZWD (as well as the ZTD) interpolated from the VMF1/VMF3 products deduced by the new model was significantly better than the ones deduced by traditional methods, especially for sites with substantial height disparities from adjacent VMF grid points. It is expected that the new model adds good value to related fields such as GNSS positioning and GNSS meteorology for better performance.
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Status: open (until 12 Jan 2025)
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RC1: 'Comment on gmd-2024-123', Anonymous Referee #1, 28 Nov 2024
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The developed a new vertical lapse-rate model to enhance the performance of VMF1/VMF3-based ZHD and ZWD interpolation. Generally speaking, the manuscript is well-written, but some minor revisions may improve the quality of the paper.
[1] Since the tropospheric delays should be mitigated in many space observations, "in GNSS applications" can be removed from the article title, as the model's application scope can be broader.
[2] The authors provided a detailed introduction to the accuracy and applications of VMF1/VMF3 ZTD, but does not seem to address the urgency of improving the accuracy in the introduction part. Thus, the authors are encouraged to revise the introduction part.
[3] Is it necessary to introduce Equation (7) if it is not used in the modeling and evaluation?
[4] “Since the horizontal resolution of the reference data coincides with the VMF1 and VMF3 products, temporal interpolation and horizontal geospatial interpolation were not needed to carry out for the model evaluation.” Should be corrected to “Since the temporal and horizontal resolution of the reference data coincides with the VMF1 and VMF3 products, temporal interpolation and horizontal geospatial interpolation were not needed to carry out.”
[5] The time resolution, accuracy, data availability (percentage of usable data) and quality control of the GNSS ZTD product should be introduced detailly.
[6] What does γ in equation (16)mean, please specify.
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RC2: 'Comment on gmd-2024-123', Anonymous Referee #2, 16 Dec 2024
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The paper addresses a critical aspect of GNSS applications. The proposed new model for ZTD was significantly better than the ones deduced by traditional methods using ERA5 and IGS-ZTD as reference. However, I'm curious about if the new model could hold significant promise for enhancing GNSS positioning accuracy. With additional details on methodology, expanded validation, the work could set a strong foundation for practical implementation. I recommend the paper for publication with minor revisions.
Detail Comments:
1. Due to this study focuses on GNSS applications, I suggest to add the experiment for the application of the new model in the GNSS navigation. The new model could be also assessed more comprehensively, which could further highlight the significance of the new model enhancing the GNSS navigation.
2. The Introduction has reviewed the detailed development of "VMF1/VMF3 ZTD". However, it has no information about why we need "A New Reduction Model for Enhancing the Interpolation Accuracy of VMF1/VMF3 Tropospheric Products in GNSS applications". If the officially recommended ZTD interpolation method is enough accurate, a new vertical reduction model may be not make much sense.
3. There are many reanalysis data. Why do you choose ERA5 for the development of the new ZTD vertical reduction model?
4. For the GNSS ZTD data do you have done quality control? There may data gaps or jumps in the data, which strategy do you use for them?
Citation: https://doi.org/10.5194/gmd-2024-123-RC2
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