Review paper
Hydrological data uncertainty and its implications
Abstract
Hydrologic data are at the core of our understanding of physical hydrologic processes, our simulation models and forecasts of water resources and hazards, and our monitoring of water quantity and quality. However, hydrologic data are subject to multiple sources of uncertainty that can introduce bias and error into our analyses and decision‐making if not properly accounted for. In this article, we summarize five categories of data uncertainty:...
Paper Details
Title
Hydrological data uncertainty and its implications
Published Date
Sep 20, 2018
Volume
5
Issue
6
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