Global time-series on the intra-annual variability of the land surface streamflow
This dataset provides yearly statistical metrics on streamflow dynamics. They were derived with artificial neural networks (ANNs) regression, trained with 6600 monitoring and a variety of environmental predictors, such as topography and climate.
min | Minimum streamflow
| content | description |
|---|---|
| value_range | 0…n |
max | Maximum streamflow
| content | description |
|---|---|
| value_range | 0…n |
mean | Mean streamflow
| content | description |
|---|---|
| value_range | 0…n |
# data call without specifying subdataset and resolution
list_data("FLO1K")
# data call for specific subdataset
list_data("FLO1K/min")
# data call to subdataset with a specific resolution
list_data("FLO1K/min/1km")[1] Barbarossa, Huijbregts, Beusen, Beck, King, and Schipper (2018)