Real-time ZTD and gradients from 161 EPN stations; year 2020
<p>This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute over the entire year 2020 for 161 EPN (http://epncb.oma.be/) stations.</p> <p>The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration, with the exception that only GPS and Galileo observations were considered.</p> <p>For convenience, products are stored in 3 formats (but each contains identical data):</p> <p>1. Standard Matlab MAT files. Each file contains a single table array (Matlab format) with the complete set of estimated parameters for a single station. Table columns are labeled and self-explanatory. A comma-delimited text file can be obtained using the in-build Matlab function "writetable.m".</p> <p>2. Self-explanatory netCDF format (<a href="https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html">https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html</a>), which follows the parameter naming convention of the troposphere SINEX v2 format: <a href="https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf">https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf</a>. Each file contains data for all stations but only for one month.</p> <p>3. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station.</p> <p> </p> <p>For visualization see:</p> <p>January https://youtu.be/oU_JaSnhoYI</p> <p>February https://youtu.be/O2LnWOjudGA</p> <p>March https://youtu.be/JVvO25oYcV8</p> <p>April https://youtu.be/2wqY7BKnw8g</p> <p>May https://youtu.be/XY62BMSlbT8</p> <p>June https://youtu.be/37cxhQ-0Y7U</p> <p>July https://youtu.be/MSJVtC-DnVM</p> <p>August https://youtu.be/lfG2GnrYiBo</p> <p>September https://youtu.be/CUrdDYr_lOY</p> <p>October https://youtu.be/pKPsTjKmvtE</p> <p>November https://youtu.be/s5gbtEdwiSM</p> <p>December https://youtu.be/rrn1SuzlM2k</p>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 8