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      Derivation of lake mixing and stratification indices from high-resolution lake buoy data

      Read, Jordan S.; Hamilton, David P.; Jones, Ian D.; Muraoka, Kohji; Winslow, Luke A.; Kroiss, Ryan; Wu, Chin H.; Gaiser, Evelyn
      DOI
       10.1016/j.envsoft.2011.05.006
      Link
       www.sciencedirect.com
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      Citation
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      Read, J.S., Hamilton, D.P., Jones, I.D., Muraoka, K., Winslow, L.A., …, Gaiser, E. (2011). Derivation of lake mixing and stratification indices from high-resolution lake buoy data. Environmental Modelling & Software, available online 31 May 2011.
      Permanent Research Commons link: https://hdl.handle.net/10289/5410
      Abstract
      Lake Analyzer is a numerical code coupled with supporting visualization tools for determining indices of mixing and stratification that are critical to the biogeochemical cycles of lakes and reservoirs. Stability indices, including Lake Number, Wedderburn Number, Schmidt Stability, and thermocline depth are calculated according to established literature definitions and returned to the user in a time series format. The program was created for the analysis of high-frequency data collected from instrumented lake buoys, in support of the emerging field of aquatic sensor network science. Available outputs for the Lake Analyzer program are: water temperature (error-checked and/or down-sampled), wind speed (error-checked and/or down-sampled), metalimnion extent (top and bottom), thermocline depth, friction velocity, Lake Number, Wedderburn Number, Schmidt Stability, mode-1 vertical seiche period, and Brunt-Väisälä buoyancy frequency. Secondary outputs for several of these indices delineate the parent thermocline depth (seasonal thermocline) from the shallower secondary or diurnal thermocline. Lake Analyzer provides a program suite and best practices for the comparison of mixing and stratification indices in lakes across gradients of climate, hydro-physiography, and time, and enables a more detailed understanding of the resulting biogeochemical transformations at different spatial and temporal scales.
      Date
      2011
      Type
      Journal Article
      Publisher
      Elsevier
      Collections
      • Science and Engineering Papers [3124]
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