Twenty years' (1996-2016) tropospheric parameters for selected EPN stations derived from GPS precise point positioning

Description

Propagation of global navigation satellite systems (GNSS) signals through the Earth’s atmosphere is affected by its physical properties. Both hydrostatic and wet part of the atmosphere (mostly related with troposphere) causes delays of GNSS signal, which usually are expressed in the zenith direction (zenith hydrostatic delay - ZHD, and zenith wet delay - ZWD). The combination of these delays is called zenith tropospheric delay (ZTD). Time-space variations of ZTD reflects spatiotemporal changes of troposphere properties, such as air humidity, which plays key role in weather forming. The ZTD can be also converted to other important parameter such as precipitable water vapor.
This dataset contains hourly ZTDs time series estimated based on 30-second GPS observations derived from 20 EPN (EUREF Permanent Network) stations, that have been operating constantly for 20 years (1996-2016). The calculation was performed using Bernese GNSS Software 5.2 and precise point positioning (PPP) method. The 5° elevation mask was adopted to cut-off low elevation satellites. The first-order ionospheric delays were eliminated using iono-free linear combination, while second-order and third-order effects were modelled. The IGS08 type mean antenna was adopted. The dataset contains two subsets which differ in tropospheric delays estimation. The first dataset (BSW_PPP_VMF) contains ZTD estimated using Vienna Mapping Function1 (VMF1), while the second one (BSW_PPP_GMF) was estimated using Global Mapping Function (GMF).

Dataset file

bsw_ppp_ztd.zip

97.2 MB, S3 ETag 8c2692db1491aee581523a800108dbb1-1, downloads: 62

The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

download

File details

License:: open in new tab

CC BY-NC-SA

Non-commercial - Share-alike

Details

Year of publication:

2020

Verification date:

2020-12-17

Dataset language:

English

Fields of science:

Civil engineering and transport (Engineering and Technology)
environmental engineering, mining and energy (Engineering and Technology)
Earth and related environmental sciences (Natural sciences)

DOI:

10.34808/8pbk-6g37

Verified by:

Gdańsk University of Technology

Keywords

References

Cite as

Authors

seen 176 times

Search