Entries by Margot Dick

Insights On Streamflow Predictability Across Scales Using Horizontal Visibility Graph Based Networks

The authors characterize the dynamics associated with streamflow time-series data from 64 U.S. Geological Survey (USGS) unregulated stream-gauge stations in the state of Iowa. They employ a novel approach called visibility graph (VG) that uses the concept of mapping time series into complex networks to investigate the time evolutionary behavior of dynamical systems.

Exploring Persistence in Streamflow Forecasting

This paper explores three approaches for streamflow forecasting: simple persistence, gradient persistence, and anomaly persistence. The basin scales clearly have an impact on the persistence modeling and a weaker, but non‐negligible dependence on geometric properties of the river network for a given basin.