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12 - Service orientation in the design of a community hydrologic information system

from Part V - Web services and scientific workflows

Published online by Cambridge University Press:  25 October 2011

Ilya Zaslavsky
Affiliation:
University of California-San Diego
David R. Maidment
Affiliation:
University of Texas at Austin
G. Randy Keller
Affiliation:
University of Oklahoma
Chaitanya Baru
Affiliation:
University of California, San Diego
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Summary

Introduction

Hydrology is an observational science concerned with the motion of the water through the hydrologic cycle. The Committee on Opportunities in the Hydrologic Sciences (1991, p. 43) defined hydrology in this way: “Hydrology is the science that treats the waters of the Earth, their occurrence, circulation, and distribution, their chemical and physical properties, and their reaction with their environment, including their relation with living things.” Bearing in mind the vast extent of the waters of the Earth, their ceaseless motion, the existence of water as ice, liquid, and water vapor, and the global distribution of water throughout the atmosphere, land surface, and subsurface, hydrologic science is complex. Constructing a comprehensive picture of its phenomena involves the assembly of data from many sources, both organizations and individual researchers. The Committee on Opportunities in the Hydrologic Sciences (1991, p. 265) stated further that “Advances in the hydrologic sciences depend on how well investigators can integrate reliable, large-scale, long-term datasets.”

Observation of hydrologic phenomena can be by direct sensing, or by remote sensing, depending on whether the measurement of water properties is made by a gage or water sample directly from a water body, or whether the water property is inferred from a camera or sensor measuring reflected or emitted radiation at a distance from the water body. Directly sensed observations from rainfall or streamflow gages are expressed as time series, in which a regular sequence of data values is indexed by the measurement time, and georeferenced by the latitude and longitude of the sampling site.

Type
Chapter
Information
Geoinformatics
Cyberinfrastructure for the Solid Earth Sciences
, pp. 193 - 209
Publisher: Cambridge University Press
Print publication year: 2011

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References

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Zaslavsky, I., Valentine, D., and Whiteaker, T. (2007). CUAHSI WaterML. OGC Discussion Paper OGC 07-041r1. Version 0.3.0. www.opengeospatial.org/standards/dp.

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