In this study, the authors investigate the hydrologic impact of wind farm clutter in the Multi‐Radar Multi‐Sensor (MRMS) rainfall products. The study uses the probability of detection (POD) method to identify wind farm clutter in data from Iowa for the years 2016 and 2017.
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.
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.
The article explores the stability of the rating curves at six streamflow gauging sites in the state of Iowa, USA, to examine temporal variability of their stage–discharge relationships. The analyzed sites have up to 10 years of rating and shift records. Rating curve shifts reflect the alteration of channel geometry caused by scouring and sediment […]
This paper looks at the performance of the National Water Model in Iowa. The model pulls data from the United States Geological Survey (USGS), which provides a limited amount of data, but increases the performance. The Iowa bridge sensors provide independent data for evaluation analyses.