Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO Data sets

This archive contains the key data files (including figure data) associated with:

Rodell, M., and B. Li, 2023: Changing intensity of hydroclimatic extreme events revealed by GRACE and GRACE-FO, Nature Water, accepted.

Figure1_time_series_data.xlsx – Data used to create the 14 inset time series plots in Figure 1.

Figure1_wet_map_data.nc – NetCDF file containing the spatial information used to create the
“Top wet events” map in Figure 1.

Figure_dry_map_data.nc -  NetCDF file containing the spatial information used to create the
“Top dry events” map in Figure 1.

Figure2_data.xlsx – Time series data used to create Figure 2.

Figure3_data.xlsx – Time series data used to create Figures 3b and 3c.

Figure4_data.xlsx – Location, year, and intensity data used to create the maps in Figure 4.

Source data and code used in this study are available as follows.

Data Availability

The GRACE/FO products (CSR GRACE/GRACE-FO RL06 Mascon Solutions, version 02) used in our analyses are available from the University of Texas Center for Space Research (https://www2.csr.utexas.edu/grace/RL06_mascons.html).  The output from a global GRACE/FO data assimilating instance of the Catchment land surface model (GRACEDADM_CLSM025GL_7D 3.0) used to fill the 11-month gap between the GRACE and GRACE-FO missions and 18 additional missing months is available from the Goddard Earth Sciences Data and Information Services Center (https://disc.gsfc.nasa.gov/datasets/GRACEDADM_CLSM025GL_7D_3.0/).  The climate oscillation indicator data can be downloaded from the NOAA Physical Sciences Laboratory (https://psl.noaa.gov/data/climateindices/list/ and https://psl.noaa.gov/gcos_wgsp/Timeseries/DMI/).  The global mean temperature data are available from the NASA Goddard Institute for Space Studies (https://data.giss.nasa.gov/gistemp/). 

Code Availability

The python code for the ST-DBSCAN clustering algorithm was obtained from the Github repository, https://github.com/gitAtila/ST-DBSCAN.  Statistical analyses were performed and figures were generated using NCL software.