Work Description

Title: Large Lake Statistical Water Balance Model - Laurentian Great Lakes - 6 month time window - 1980 through 2015 monthly summary data and model output Open Access Deposited

http://creativecommons.org/publicdomain/zero/1.0/
Attribute Value
Methodology
  • We use a Bayesian Network to assimilate multiple monthly-total estimates of the Laurentian Great Lakes -- Superior, Michigan-Huron, St. Clair, Erie, and Ontario -- water balance and components thereof, generating new estimates with quantified uncertainty.
Description
  • Using the statistical programming package R (  https://cran.r-project.org/), and JAGS (Just Another Gibbs Sampler,  http://mcmc-jags.sourceforge.net/), we processed multiple estimates of the Laurentian Great Lakes water balance components -- over-lake precipitation, evaporation, lateral tributary runoff, connecting channel flows, and diversions -- feeding them into prior distributions (using data from 1950 through 1979), and likelihood functions. The Bayesian Network is coded in the BUGS language. Water balance computations assume that monthly change in storage for a given lake is the difference between beginning of month water levels surrounding each month. For example, the change in storage for June 2015 is the difference between the beginning of month water level for July 2015 and that for June 2015.

  • More details on the model can be found in the following summary report for the International Watersheds Initiative of the International Joint Commission, where the model was used to generate a new water balance historical record from 1950 through 2015:  https://www.glerl.noaa.gov/pubs/fulltext/2018/20180021.pdf. Large Lake Statistical Water Balance Model (L2SWBM):  https://www.glerl.noaa.gov/data/WaterBalanceModel/

  • This data set has a shorter timespan to accommodate a prior which uses data not used in the likelihood functions.
Creator
Depositor
  • joeseph@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • International Joint Commission
Keyword
Citations to related material
Resource type
Last modified
  • 12/03/2019
Published
  • 11/27/2019
Language
License
To Cite this Work:
Smith, J., Gronewold, A., Read, L., Crooks, J., School for Environment and Sustainability, U., Department of Civil and Environmental Engineering, U., Cooperative Institute for Great Lakes Research (2019). Large Lake Statistical Water Balance Model - Laurentian Great Lakes - 6 month time window - 1980 through 2015 monthly summary data and model output [Data set]. University of Michigan - Deep Blue.

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