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ARS Home » Pacific West Area » Boise, Idaho » Watershed Management Research » Research » Publications at this Location » Publication #334702

Research Project: Understanding Snow and Hydrologic Processes in Mountainous Terrain with a Changing Climate

Location: Watershed Management Research

Title: Data set: 31 years of spatially distributed air temperature, humidity, precipitation amount and precipitation phase from a mountain catchment in the rain-snow transition zone

Author
item Kormos, Patrick
item Marks, Danny - Danny
item Seyfried, Mark
item Havens, Scott
item Hedrick, Andrew
item Lohse, Kathleen - Idaho State University
item Masarik, Matt - Boise State University
item Flores, Alejandro - Boise State University

Submitted to: Scientific Data
Publication Type: Other
Publication Acceptance Date: 7/19/2016
Publication Date: 7/19/2016
Citation: Kormos, P.R., Marks, D.G., Seyfried, M.S., Havens, S.C., Hedrick, A., Lohse, K., Masarik, M., Flores, A. 2016. Data set: 31 years of spatially distributed air temperature, humidity, precipitation amount and precipitation phase from a mountain catchment in the rain-snow transition zone. Boise State University, Reynolds Creek Critical Zone Observatory. http://doi.org/10.18122/B2B59V.

Interpretive Summary: Thirty one years of spatially distributed air temperature, relative humidity, dew point temperature, precipitation amount, and precipitation phase data are presented for the Reynolds Creek Experimental Watershed. The data are spatially distributed over a 10m Lidar-derived digital elevation model at an hourly time step using a detrended kriging algorithm. This dataset covers a wide range of weather extremes in a mesoscale basin (237 km2) that encompasses the rain-snow transition zone and should find widespread application in earth science modeling communities. Spatial data allows for a more holistic analysis of basin means and elevation gradients, compared to point data. Files are stored in the NetCDF file format, which allows for easy spatiotemporal averaging and/or subsetting.

Technical Abstract: Thirty one years of spatially distributed air temperature, relative humidity, dew point temperature, precipitation amount, and precipitation phase data are presented for the Reynolds Creek Experimental Watershed. The data are spatially distributed over a 10m Lidar-derived digital elevation model at an hourly time step using a detrended kriging algorithm. This dataset covers a wide range of weather extremes in a mesoscale basin (237 km2) that encompasses the rain-snow transition zone and should find widespread application in earth science modeling communities. Spatial data allows for a more holistic analysis of basin means and elevation gradients, compared to point data. Files are stored in the NetCDF file format, which allows for easy spatiotemporal averaging and/or subsetting.