Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017

The mass and energy balance of the snowpack govern its evolution. Direct measurement of these fluxes is essential for modeling the snowpack, yet there are few sites where all the relevant measurements are taken. Mammoth Mountain, CA USA, is home to the Cold Regions Research and Engineering Laborator...

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Main Authors: Bair, E. H., Davis, R. E., Dozier, J.
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2018
Subjects:
Online Access:http://www.escholarship.org/uc/item/9bg9r0j7
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spelling ftcdlib:qt9bg9r0j7 2023-05-15T15:55:49+02:00 Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017 Bair, E. H. Davis, R. E. Dozier, J. 549 - 563 2018-03-14 application/pdf http://www.escholarship.org/uc/item/9bg9r0j7 english eng eScholarship, University of California qt9bg9r0j7 http://www.escholarship.org/uc/item/9bg9r0j7 public Bair, E. H.; Davis, R. E.; & Dozier, J.(2018). Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017. Earth System Sciences Data, 10(1), 549 - 563. UC Office of the President: UC Lab Fees Research Program (LFRP); a funding opportunity through UC Research Initiatives (UCRI). Retrieved from: http://www.escholarship.org/uc/item/9bg9r0j7 Physical Sciences and Mathematics snow energy balance article 2018 ftcdlib 2019-04-05T22:52:35Z The mass and energy balance of the snowpack govern its evolution. Direct measurement of these fluxes is essential for modeling the snowpack, yet there are few sites where all the relevant measurements are taken. Mammoth Mountain, CA USA, is home to the Cold Regions Research and Engineering Laboratory and University of California – Santa Barbara Energy Site (CUES), one of five energy balance monitoring sites in the western US. There is a ski patrol study site on Mammoth Mountain, called the Sesame Street Snow Study Plot, with automated snow and meteorological instruments where new snow is hand-weighed to measure its water content. There is also a site at Mammoth Pass with automated precipitation instruments. For this dataset, we present a clean and continuous hourly record of selected measurements from the three sites covering the 2011–2017 water years. Then, we model the snow mass balance at CUES and compare model runs to snow pillow measurements. The 2011–2017 period was marked by exceptional variability in precipitation, even for an area that has high year-to-year variability. The driest year on record, and one of the wettest years, occurred during this time period, making it ideal for studying climatic extremes. This dataset complements a previously published dataset from CUES containing a smaller subset of daily measurements. In addition to the hand-weighed SWE, novel measurements include hourly broadband snow albedo corrected for terrain and other measurement biases. This dataset is available with a digital object identifier: https://doi.org/10.21424/R4159Q. Article in Journal/Newspaper Cold Regions Research and Engineering Laboratory University of California: eScholarship
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
topic Physical Sciences and Mathematics
snow
energy balance
spellingShingle Physical Sciences and Mathematics
snow
energy balance
Bair, E. H.
Davis, R. E.
Dozier, J.
Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
topic_facet Physical Sciences and Mathematics
snow
energy balance
description The mass and energy balance of the snowpack govern its evolution. Direct measurement of these fluxes is essential for modeling the snowpack, yet there are few sites where all the relevant measurements are taken. Mammoth Mountain, CA USA, is home to the Cold Regions Research and Engineering Laboratory and University of California – Santa Barbara Energy Site (CUES), one of five energy balance monitoring sites in the western US. There is a ski patrol study site on Mammoth Mountain, called the Sesame Street Snow Study Plot, with automated snow and meteorological instruments where new snow is hand-weighed to measure its water content. There is also a site at Mammoth Pass with automated precipitation instruments. For this dataset, we present a clean and continuous hourly record of selected measurements from the three sites covering the 2011–2017 water years. Then, we model the snow mass balance at CUES and compare model runs to snow pillow measurements. The 2011–2017 period was marked by exceptional variability in precipitation, even for an area that has high year-to-year variability. The driest year on record, and one of the wettest years, occurred during this time period, making it ideal for studying climatic extremes. This dataset complements a previously published dataset from CUES containing a smaller subset of daily measurements. In addition to the hand-weighed SWE, novel measurements include hourly broadband snow albedo corrected for terrain and other measurement biases. This dataset is available with a digital object identifier: https://doi.org/10.21424/R4159Q.
format Article in Journal/Newspaper
author Bair, E. H.
Davis, R. E.
Dozier, J.
author_facet Bair, E. H.
Davis, R. E.
Dozier, J.
author_sort Bair, E. H.
title Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
title_short Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
title_full Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
title_fullStr Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
title_full_unstemmed Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017
title_sort hourly mass and snow energy balance measurements from mammoth mountain, ca usa, 2011–2017
publisher eScholarship, University of California
publishDate 2018
url http://www.escholarship.org/uc/item/9bg9r0j7
op_coverage 549 - 563
genre Cold Regions Research and Engineering Laboratory
genre_facet Cold Regions Research and Engineering Laboratory
op_source Bair, E. H.; Davis, R. E.; & Dozier, J.(2018). Hourly mass and snow energy balance measurements from Mammoth Mountain, CA USA, 2011–2017. Earth System Sciences Data, 10(1), 549 - 563. UC Office of the President: UC Lab Fees Research Program (LFRP); a funding opportunity through UC Research Initiatives (UCRI). Retrieved from: http://www.escholarship.org/uc/item/9bg9r0j7
op_relation qt9bg9r0j7
http://www.escholarship.org/uc/item/9bg9r0j7
op_rights public
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