One could read this global total water storage (TWS) reconstruction data set by using any
version of the software Matlab with a simple command 'load'.
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 Variable descriptions 
 
lat : Double type latitude.
long : Double type longitude.
time : Double type time.
str_month : String type month.
str_year : String type year.
grace_rec_full : Double type gridded global TWS reconstructions.
grace_rec_detrended : Double type gridded global TWS reconstructions, linear trends removed.
grace_rec_deseasonalised : Double type gridded global TWS reconstructions, linear trend 
and seasonal signals removed.  

====================

When using the GRID_CSR_GRACE_REC data set, please cite

Li, F., Kusche, J., Rietbroek, R., Wang, Z., Forootan, E., Schulze, K., & Lück, C. (2020). 
Comparison of Data‐driven Techniques to Reconstruct (1992‐2002) and Predict (2017‐2018) GRACE‐like 
Gridded Total Water Storage Changes using Climate Inputs[J]. Water Resources Research, 56(5), 
e2019WR026551. https://doi.org/10.1029/2019wr026551
                                           
Li, F., Kusche, J., Chao, N., Wang, Z., & Löcher, A. (2021). Long-term (1979-present) Total Water 
Storage Anomalies Over the Global Land Derived by Reconstructing GRACE data[J]. Geophysical 
Research Letters, 48, e2021GL093492. https://doi.org/10.1029/2021GL093492