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Water 2012, 4(3), 597-606; doi:10.3390/w4030597
Technical Note

A Note on the Collection and Cleaning of Water Temperature Data

1,*  and 2
1 Statistics Department, University of Washington, Seattle, WA 98115, USA 2 PNW Research Station, USDA Forest Service, 400 N 34th Street, Suite 201, Seattle, WA 98103, USA
* Author to whom correspondence should be addressed.
Received: 15 June 2012 / Revised: 13 July 2012 / Accepted: 1 August 2012 / Published: 20 August 2012
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Inexpensive remote temperature data loggers have allowed for a dramatic increase of data describing water temperature regimes. This data is used in understanding the ecological functioning of natural riverine systems and in quantifying changes in these systems. However, an increase in the quantity of yearly temperature data necessitates complex data management, efficient summarization, and an effective data-cleaning regimen. This note focuses on identifying events where data loggers failed to record correct temperatures using data from the Sauk River in Northwest Washington State as an example. By augmenting automated checks with visual comparisons against air temperature, related sites, multiple years, and available flow data, dewatering events can be more accurately and efficiently identified.
Keywords: accuracy; precision; errors; quality assurance accuracy; precision; errors; quality assurance
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Sowder, C.; Steel, E.A. A Note on the Collection and Cleaning of Water Temperature Data. Water 2012, 4, 597-606.

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