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  1. Supporting data for 'Tree carbon allocation explains forest drought-kill and recovery patterns'.

    Work
    Description: The mechanisms governing tree drought mortality and recovery remain a subject of inquiry and active debate given their role in the terrestrial carbon cycle and their concomitant impact on climate change. Counter-intuitively, many trees do not die during the drought itself. Indeed, observations globally have documented that trees often grow for several years after drought before mortality. A combination of meta-analysis and tree physiological models demonstrate that optimal carbon allocation after drought explains observed patterns of delayed tree mortality and provides a predictive recovery framework. Specifically, post-drought, trees attempt to repair water transport tissue and achieve positive carbon balance through regrowing drought-damaged xylem. Further, the number of years of xylem regrowth required to recover function increases with tree size, explaining why drought mortality increases with size. These results indicate that tree resilience to drought-kill may increase in the future, provided that CO2 fertilization facilitates more rapid xylem regrowth.
    Keyword: drought, optimality theory, hydraulic-carbon coupling, CO2 fertilization, carbon metabolism, and vegetation model
    Creator: Schwalm, C., Detto, M., Bartlett, M. K., Schahher, B., Anderegg, W. R. L., Trugman, Anna T., Medvigy, D., and Pacala, S. W.
    Owner: Anna Trugman
    Date Uploaded: 08/08/2018
    Date Modified: 08/13/2018
    Date Created: Spring 2018
    Rights: CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type: Dataset
    Identifier: 10.7278/S5N29V4F
    Contact Email: a.trugman@utah.edu
    Funders: USDA National Institute of Food and Agriculture Postdoctoral Research Fellowship Grant No. 2017-07164
  2. Observing and Modeling Downslope-Windstorm-Type Flow in a Small-Scale Crater Induced by Larger-Scale Katabatic Winds

    Mw22v5449?file=thumbnail
    Description: Supplementary material for a research paper submitted to the Journal of Applied Meteorology and Climatology. An animated gif and a readme file.
    Keyword: flow, basin, METCRAX , Meteor Crater, cold intrusions, animination, potential temperature profile, katabatic flow, IOP7, weather, and hydralic jump
    Creator: Lehner, M., Haiden, T., Kalthoff, N, Adler, B. , Whiteman, C. David, and Hoch, S. W.
    Owner: C Whiteman
    Publisher: The Hive: University of Utah Data Repository
    Location: Meteor Crater, Arizona
    Date Uploaded: 10/10/2017
    Date Modified: 04/12/2018
    Date Created: October 10, 2017
    Rights: Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
    Resource Type: Image
    Identifier: doi:10.7278/S54J0C86
    Contact Email: dave.whiteman@utah.edu
    Funders: National Science Foundation
  3. Archive of the High Resolution Rapid Refresh model

    Work
    Description: Weather-related research often requires synthesizing vast amounts of data that need archival solutions that are both economical and viable during and past the lifetime of the project. Public cloud computing services (e.g., from Amazon, Microsoft, or Google) or private clouds managed by research institutions are providing object data storage systems potentially appropriate for long-term archives of such large geophysical data sets. We illustrate the use of a private cloud object store developed by the Center for High Performance Computing (CHPC) at the University of Utah. Since early 2015, we have been archiving thousands of two-dimensional gridded fields (each one containing over 1.9 million values over the contiguous United States) from the High-Resolution Rapid Refresh (HRRR) data assimilation and forecast modeling system. The archive is being used for retrospective analyses of meteorological conditions during high-impact weather events, assessing the accuracy of the HRRR forecasts, and providing initial and boundary conditions for research simulations. The archive is accessible interactively and through automated download procedures for researchers at other institutions that can be tailored by the user to extract individual two-dimensional grids from within the highly compressed files. Characteristics of the CHPC object storage system are summarized relative to network file system storage or tape storage solutions. The CHPC storage system is proving to be a scalable, reliable, extensible, affordable, and usable archive solution for our research.
    Keyword: numerical weather prediction, analyses, data assimilation, weather, atmospheric science, and forecasts
    Subject: numerical weather prediction and atmospheric science
    Creator: Horel, John and Blaylock, Brian
    Contributor: NOAA Earth Systems Research Laboratory , NOAA Environmental Modeling Center, and University of Utah Center for High Performance Computing
    Owner: John Horel
    Publisher: University of Utah
    Location: Alaska and Contiguous United States
    Language: English and binary
    Date Uploaded: 08/24/2017
    Date Modified: 05/31/2018
    Date Created: April 18, 2015 to present
    Rights: CC BY – Allows others to use and share your data, even commercially, with attribution.
    Resource Type: Dataset
    Identifier: 10.7278/S5JQ0Z5B
    Contact Email: brian.blaylock@utah.edu