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

Open Geospatial Consortium (OGC), WaterML 2.0, data standard, time-series, data encoding

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.

We are very excited for the potential that international adoption of a common data exchange format will have for advancing hydrological science and improving water resources management. No one agency can provide data that comprehensively spans all three socio-spatial scales of relevance namely the Assessment scale, the Management scale and the Engineering scale.

  • Assessment scale information is for ‘big’ questions such as the effect of climate change on water resources or the amount of water in a shared, trans-boundary basin.
  • Management scale information is for regional analysis of water problems such as ecosystem health and water resource allocations.
  • Engineering scale information is for very local issues like flooding where the data is analyzed in the context of a very specific problem or landscape.

Data sharing is a necessity because there is no one source of hydrometric data spanning all scales of relevance. Open standards for data sharing will create a future where all relevant data are discoverable, searchable and accessible. Accessibility of all of the data needed to support evidence-based decision-making for water related problems from the scale of culvert design up to global environmental policy-making will make the world a better place.

For more information, check out the presentation:

World Water Online – Proposing An Integrated System for Global Water Information
Presented by: Fernando R. Salas
Prepared by: Fernando R. Salas and David R. Maidment
University of Texas at Austin
GEOSS in Americas Symposium – Santiago, Chile
October 6th, 2011


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.

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