Published 2024 | Version v3
Dataset Open

Data supporting GRL submission

  • 1. ROR icon The University of Texas at Austin

Description

This record supports manuscript submission, "Deciphering the role of total water storage anomalies in mediating regional flooding".

This dataset includes

 

YangtzeQ.pkl, streamflow records from 2000 to 2023. We extracted Yangtze River Stations at Hankou and Yichang (format Python pickle)

scatterplot_eps.zip, Basin averaged annual maximum events (including annual maxima of precipitation, CSR5d, and streamflow) for all 92 gages analyzed

timeseriesplot.zip, Time series plots of precipitation, CSR5d and streamflow for all 92 gages analyzed

csr5d_basin.zip, raw data of CSR5d, precipitation, and streamflow time series at all 92 gages (formation Python pikcle)

 

[Update 1/11/2025]: Added basinaverage_timeseries.zip, which contains raw basin average time series for each GRDC station. 

  • File format, dataxxx.pkl, where xxx is GRDC gage id.
  • To open each pkl file, do
    • import pandas as pd
    • res = pd.read_pickle('dataxxx.pkl')
  • res is a dictionary containing three dataframes, TWS, tp, and Q. For example, res['TWS'] retrieves the dataframe containing TWS data

 

 

Files

basinaverage_timeseries.zip

Files (2.2 MB)

Name Size Download all
md5:551617e3e0d2192c970f7e317abcfeca
2.2 MB Preview Download