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Elevation distributed micro-climatology data in a coastal glaciated watershed

Air temperature, ground temperature and relative humidity data were collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 to 1800 m above sea level. Data were collected by anchoring sensors from trees above winter snow levels and shaded from direct solar radia...

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Autores principales: Bandaragoda, Christina, Beaulieu, Jezra, Cristea, Nicoleta, Beveridge, Claire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231837/
https://www.ncbi.nlm.nih.gov/pubmed/32435678
http://dx.doi.org/10.1016/j.dib.2020.105578
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author Bandaragoda, Christina
Beaulieu, Jezra
Cristea, Nicoleta
Beveridge, Claire
author_facet Bandaragoda, Christina
Beaulieu, Jezra
Cristea, Nicoleta
Beveridge, Claire
author_sort Bandaragoda, Christina
collection PubMed
description Air temperature, ground temperature and relative humidity data were collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 to 1800 m above sea level. Data were collected by anchoring sensors from trees above winter snow levels and shaded from direct solar radiation. Paired sensors were also buried 3 cm under ground near each air temperature sensor to determine snow absence or presence. Select sites included relative humidity sensors to indicate whether precipitation was occurring. Data were collected every 3-4 h from December 2015 to Sept 2018 (with ongoing collection). Code for analysis of daily mean, minimum, maximum, and temperature change with elevation (lapse rates) are available on Github (https://doi.org/10.5281/zenodo.3239539). The sensor download and intermediate data products are available on HydroShare at (http://www.hydroshare.org/resource/222e832d3df24dea9bae9bbeb6f4219d) with publicly accessible visualization available from the Nooksack Observatory at data.cuahsi.org. Hydrologic models are generally structured with a single annual average lapse rate parameter which assumes a linear temperature gradient with elevation. The daily data (2016-2018) is used as part of ongoing studies on the non-linear dynamics and temporal variability of temperature with elevation to improve assessments of watershed function and salmon habitat.
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spelling pubmed-72318372020-05-20 Elevation distributed micro-climatology data in a coastal glaciated watershed Bandaragoda, Christina Beaulieu, Jezra Cristea, Nicoleta Beveridge, Claire Data Brief Earth and Planetary Science Air temperature, ground temperature and relative humidity data were collected in a longitudinal transect of the Nooksack watershed at varying elevations from 500 to 1800 m above sea level. Data were collected by anchoring sensors from trees above winter snow levels and shaded from direct solar radiation. Paired sensors were also buried 3 cm under ground near each air temperature sensor to determine snow absence or presence. Select sites included relative humidity sensors to indicate whether precipitation was occurring. Data were collected every 3-4 h from December 2015 to Sept 2018 (with ongoing collection). Code for analysis of daily mean, minimum, maximum, and temperature change with elevation (lapse rates) are available on Github (https://doi.org/10.5281/zenodo.3239539). The sensor download and intermediate data products are available on HydroShare at (http://www.hydroshare.org/resource/222e832d3df24dea9bae9bbeb6f4219d) with publicly accessible visualization available from the Nooksack Observatory at data.cuahsi.org. Hydrologic models are generally structured with a single annual average lapse rate parameter which assumes a linear temperature gradient with elevation. The daily data (2016-2018) is used as part of ongoing studies on the non-linear dynamics and temporal variability of temperature with elevation to improve assessments of watershed function and salmon habitat. Elsevier 2020-04-20 /pmc/articles/PMC7231837/ /pubmed/32435678 http://dx.doi.org/10.1016/j.dib.2020.105578 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Bandaragoda, Christina
Beaulieu, Jezra
Cristea, Nicoleta
Beveridge, Claire
Elevation distributed micro-climatology data in a coastal glaciated watershed
title Elevation distributed micro-climatology data in a coastal glaciated watershed
title_full Elevation distributed micro-climatology data in a coastal glaciated watershed
title_fullStr Elevation distributed micro-climatology data in a coastal glaciated watershed
title_full_unstemmed Elevation distributed micro-climatology data in a coastal glaciated watershed
title_short Elevation distributed micro-climatology data in a coastal glaciated watershed
title_sort elevation distributed micro-climatology data in a coastal glaciated watershed
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231837/
https://www.ncbi.nlm.nih.gov/pubmed/32435678
http://dx.doi.org/10.1016/j.dib.2020.105578
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