Snow, stratiform clouds, cloud parameterizations, observing climate at high elevations using United States Climate Reference Network approaches

The U.S. Climate Reference Network (USCRN) was deployed between 2001 and 2008 for the purpose of yielding high-quality and temporally stable in situ climate observations in pristine environments over the twenty-first century. Given this mission, USCRN stations are engineered to operate largely autonomously with great reliability and accuracy. A triplicate approach is used to provide redundant measurements of temperature and precipitation at each location, allowing for observations at a specific time to be compared for quality control. This approach has proven to be robust in the most extreme environments, from extreme cold (-49°C) to extreme heat (+52°C), in areas of heavy precipitation (4700 mm yr⁻¹), and in locations impacted by strong winds, freezing rain, and other hazards. In addition to a number of stations enduring extreme winter environments in Alaska and the northern United States, seven of the USCRN stations are located at elevations over 2000 m, including stations on Mauna Loa, Hawaii (3407 m) and on Niwot Ridge above Boulder, Colorado (2996 m). The USCRN temperature instruments and radiation shield have also been installed and run successfully at a station on the Quelccaya Ice Cap in Peru (5670 m). This paper reviews the performance of the USCRN station network during its brief lifetime and the potential utility of its triplicate temperature instrument configuration for measuring climate change at elevation.

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Author Palecki, M.
Groisman, Pavel Y.
Publisher UCAR/NCAR - Library
Publication Date 2011-10-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2025-07-17T14:25:50.136640
Metadata Record Identifier edu.ucar.opensky::articles:12117
Metadata Language eng; USA
Suggested Citation Palecki, M., Groisman, Pavel Y.. (2011). Snow, stratiform clouds, cloud parameterizations, observing climate at high elevations using United States Climate Reference Network approaches. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7ks6s8q. Accessed 23 August 2025.

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