gnss2tws

GNSS2TWS is an open-source Matlab tool for inferring daily terrestrial water storage changes using GNSS vertical data

Attribution

The primary purpose of this code is to allow the inversion of time series of surface vertical displacement for daily terrestrial water storage (TWS) changes in a specific study area. We assume that the potential users are familiar with the Matlab language programming, PCA decomposition, inversion method, and mass loading theory. The code has been written in MATLAB (version 2018b) and has been tested on Windows (version 10) operating systems.

Readers can download the complete software (including the code and one example (all input/output data)) from the GPS Toolbox website (https://geodesy.noaa.gov/gps-toolbox/gnss2tws.shtml) and we also release this open-source tool (including the code and one example (all input data)) on GitHub (https://github.com/jzshhh/gnss2tws). Readers need to decompress the code into a local folder and decompress the file 'gnss.zip' in the folder 'data/' to run this example. There are no additional requirements except for the MATLAB language running environment.

To acknowledge use of this software, please cite the following publications

Kositsky, A.P., Avouac, J.P., 2010. Inverting geodetic time series with a principal component analysis-based inversion method. Journal of Geophysical Research 115. doi: 10.1029/2009jb006535

Jiang, Z., Hsu, Y.-J., Yuan, L., Huang, D., 2021c. Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China. Remote Sensing of Environment 254. doi: 10.1016/j.rse.2020.112249

Jiang, Z., Hsu, Y.J., Yuan, L., Yang, X., Ding, Y., Tang, M., Chen, C., 2021d. Characterizing Spatiotemporal Patterns of Terrestrial Water Storage Variations Using GNSS Vertical Data in Sichuan, China. Journal of Geophysical Research: Solid Earth 126. doi: 10.1029/2021jb022398

Jiang Z., Hsu Y., Yuan L., Wei F., Yang X., Tang M., GNSS2TWS: an open-source MATLAB-based tool for inferring daily terrestrial water storage changes using GNSS vertical data, GPS Solutions. 2022c, 26:144. doi: 10.1007/s10291-022-01301-8