Code and data to "Statistical learning and topkriging improve spatio-temporal low-flow estimation"

This data and software supports the manuscript "Statistical learning and topkriging improve spatio-temporal low-flow estimation" (https:://doi.org/10.1029/2024WR038329).

The dataset consists of:

all produced predictions of the models (data/predictions.RDS and data/predictions_csv/*)

observational data (data/observations.csv)

additional catchment data (data/catchment_data.csv) used for presenting the figures

state boundaries of Austria as a shape file (data/boundaries.*)

partial predictions of a model-based boosting approach (data/partial_predictions.csv)

Example output of number of EOF, due to long computational time (data/number_eofs.RDS)

IDs of near natural catchments (data/ids_low_flow.csv)

Additionally, the code is provided to:

Compute the number of EOFs (functions/number_eofs.R)

Produce all the figures and tables in the paper (scripts/plotting_results.R)