Dataset Open Access
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.
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.
For convenience, products are stored in 3 formats (but each contains identical data):
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".
2. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one month.
3. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station.
For visualization see:
January https://youtu.be/oU_JaSnhoYI
February https://youtu.be/O2LnWOjudGA
March https://youtu.be/JVvO25oYcV8
April https://youtu.be/2wqY7BKnw8g
May https://youtu.be/XY62BMSlbT8
June https://youtu.be/37cxhQ-0Y7U
July https://youtu.be/MSJVtC-DnVM
August https://youtu.be/lfG2GnrYiBo
September https://youtu.be/CUrdDYr_lOY
October https://youtu.be/pKPsTjKmvtE
November https://youtu.be/s5gbtEdwiSM
December https://youtu.be/rrn1SuzlM2k
Name | Size | |
---|---|---|
est.zip
md5:67a51ae6d3670d0f7b286edd4d248e99 |
2.8 GB | Download |
mat.zip
md5:33d79aca076fa36cb8cc3f8dfce16285 |
2.6 GB | Download |
mult_2020d001.001_31d_60s_RAW_G-E---.nc
md5:8ceb11e11c619bca9ffc11fb2520aa8f |
386.9 MB | Download |
mult_2020d032.000_29d_60s_RAW_G-E---.nc
md5:ec057acb57685bc3ce834fdf01f74a10 |
370.8 MB | Download |
mult_2020d062.475_30d_60s_RAW_G-E---.nc
md5:b02c2707a52efbacb5c427edb813ce6c |
372.2 MB | Download |
mult_2020d092.000_30d_60s_RAW_G-E---.nc
md5:d44e53b72d073172e79940bc7d721141 |
387.7 MB | Download |
mult_2020d122.524_31d_60s_RAW_G-E---.nc
md5:747e60344b55534073bd5c1dd1368687 |
398.0 MB | Download |
mult_2020d153.000_30d_60s_RAW_G-E---.nc
md5:ea748340a15bf5921157ac5a70e68925 |
399.6 MB | Download |
mult_2020d183.000_31d_60s_RAW_G-E---.nc
md5:4bff0cc1ea958505e9343559b5ee7f39 |
411.3 MB | Download |
mult_2020d214.000_31d_60s_RAW_G-E---.nc
md5:2af224953cef3d560807a8387fc492d3 |
388.2 MB | Download |
mult_2020d245.000_30d_60s_RAW_G-E---.nc
md5:eca63a1ee3ce89718f81f92cb17350e0 |
385.3 MB | Download |
mult_2020d275.000_31d_60s_RAW_G-E---.nc
md5:b8b1fa3814d4b882bc59687bdbaccbe1 |
333.9 MB | Download |
mult_2020d306.000_30d_60s_RAW_G-E---.nc
md5:72a2ed38919f9f1c4779f4b9bdd44e6f |
394.0 MB | Download |
mult_2020d336.000_31d_60s_RAW_G-E---.nc
md5:61b9e79574b542ef062ada43b1ea73cc |
411.8 MB | Download |
All versions | This version | |
---|---|---|
Views | 51 | 51 |
Downloads | 41 | 41 |
Data volume | 20.2 GB | 20.2 GB |
Unique views | 49 | 49 |
Unique downloads | 28 | 28 |