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AIH Webinar – A Novel Approach To Quantify Streamflow Properties – Richard Koehler, PhD, PH

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AIH Webinar – A Novel Approach To Quantify Streamflow Properties – Richard Koehler, PhD, PH

June 16, 2022 @ 9:30 am - 10:45 pm PDT

Presented is a novel approach using autocorrelation lag (k) plots and sequence summations to quantify the streamflow properties of magnitude, frequency, duration, timing and rate of change. The resulting products are a combination of visualizations and tables providing streamflow information across all flow levels and address a fundamental hydrologic property – the temporal configuration of streamflow.

Multiple regional case studies are presented to show the utility of this technique in different riverine environments.

Webinar learning objectives

  • Identify the additional information available in autocorrelation lag (k) plots.
  • Recognize the advantages of a temporal-based approach.
  • Describe ecohydrology effects based on information presented.

Speaker Bio

Richard Koehler, PhD, PH

CEO of Visual Data Analytics, Certified Professional Hydrologist

Richard is the CEO of Visual Data Analytics and a certified professional hydrologist with over 40-years’ experience. Before retiring, he was the National Hydrologic and Geospatial Sciences Training Coordinator for NOAA’s National Weather Service. He is also a retired NOAA Corps lieutenant commander where he served aboard NOAA oceanographic research ships. Past assignments include river forecaster at two NWS River Forecast Centers. While at the Northwest River Forecast Center, he oversaw the implementation of an operational dynamic wave model for Lower Columbia River stage forecasts for shipping interests.

Other positions include Director of Water Resources for an Arizona consulting company and Water Resources Hydrologist for Cochise County, Arizona. Richard has a PhD, MS and BS in Watershed Management from the University of Arizona and an additional MS in Hydrographic Sciences from the US Naval Postgraduate School. The focus of his research are alternate methods of analyzing environmental time-series data along with novel data visualizations.

Register Here:


June 16, 2022
9:30 am - 10:45 pm PDT


(916) 231-2149
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