Stu Hamilton
Stu Hamilton

Senior Hydrologist

Hydrology field work done today, if managed well, becomes part of a legacy of information that will serve for generations to come. As an avid canoeist and whitewater kayaker I was easily drawn into a career in hydrometry in spite of an undergraduate education in biology. Shortly after graduating from the University of Alaska I started work with the Water Survey of Canada in Whitehorse, Yukon. The initial appeal was the freedom to travel extensively to some of the most beautiful landscapes on the planet to measure streamflow. The highlight of my career was measuring 7040 m3s-1 of flow on the Porcupine River using a small, under-powered, aluminum skiff, kevlar tagline and a 150 pound sounding weight. It took 4 tries to string the line, while uprooted trees and large ice floes came down the river. I am guilty of being a data philosopher. I think we have to first be able to clearly articulate what an ideal data set should look like and then we can influence the direction of technological development to make that ideal achievable.

The Future of Water Data Sharing – Discoverable, Searchable and Accessible

The Open Geospatial Consortium (OGC) is seeking public comment on part 1 of the new WaterML 2.0 data standard for time-series data encoding Aquatic Informatics is actively participating in the Hydrological Domain Working Group, which has a mandate from both the OGC and the World Meteorological Organization (WMO), to explore issues of hydrological data interoperability….

North American Stream Hydrographers

Measuring and monitoring streamflow is a place-based activity. Hydrographers are isolated from each other because of the size of the geographic domain each one can cover. Training opportunities and technology workshops are often organized along institutional lines. Hydrographers often have closer communication with distant colleagues in the same institution than they have with those operating…

Emerging Data Analysis & Production Techniques

Advances in communications and data management technologies have allowed data providers to meet the latent demand for hydrometric data in support of adaptive management of our water resources. Discharge is a derived variable for which considerable care is required to ensure reliable results. The hydrometric data production process has historically been managed on an annual…

Timely, Affordable and Accurate Data? Pick Any Two Out of Three

High quality data are accurate, timely, meaningful and complete. Fitness-for-purpose is achieved if the stated or implied needs, or expectations, of the end-user of the data are met. The design of a quality management system starts with specification of end-user needs and expectations. These expectations are inter-dependent. Consider the situational irony of the sign stating:…

Your Voice, Your Opinions and the Future of Hydrometric Data Management

This blog forum is your opportunity to voice your opinions about what can, and should be, done now to build toward a desired future for hydrometric data and water resource decision-making. As a regular contributor I personally invite an interactive exchange of knowledge and promotion of ideas on how to advance the science and practice…