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

Updated 2 February 2023.
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.

fig1_extents.zip – Contains spatial data used to create the "Top wet events" and "Top dry events" maps in Figure 1, in both text and NetCDF formats.

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

Figure3a_Koeppen-Geiger-ASCII.zip - Contains a text data file of spatial data (latitude, longitude, class) used to create the climate class map in Figure 1.  Note that only the main climates (first letter of class code) are used: A = Tropical, B = Dry, C = Temperate, D = Continental, E = Polar (no data).  See http://koeppen-geiger.vu-wien.ac.at/present.htm for details.

Figure3bc_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.

all_event_intensity.xlsx - Contains the centroid location (longitude and latitude), year, and intensity (km3mo) of all 505 wet extreme events and 551 dry extreme events identified and analyzed in this study.

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/).    Köppen-Geiger climate map data are available for download from http://koeppen-geiger.vu-wien.ac.at/present.htm.

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.