Simultaneous Heat and Water (SHAW) input and outputs for three parameterizations of upland deciduous boreal forest at Bonanza Creek, Alaska 2003-2015

This dataset provides inputs and outputs for the Simultaneous Heat and Water (SHAW) model implemented at the upland birch site (labeld UP1A) at the Bonanza Creek Long Term Ecological Research (BNZ LTER) site. The purpose of this study was to parameterize SHAW for upland boreal deciduous forest. Input climate data includes air temperature, precipitation, wind speed, relative humidity, and downward solar radiation, and was derived from previously published data from the BNZ LTER. Model parameters describing plant structural and water use characteristics were obtained from vegetation surveys at the BNZ LTER and from relevant scientific literature. Soil texture model parameters were also obtained from data published through the BNZ LTER. A Generalized Likelihood Uncertainty Estimation (GLUE) approach was used to assess soil hydraulic parameters. Three sets of hydraulic parameters are identified, using Pareto optimization to identify sets that minimize root mean squared error of soil moisture and temperature (Case 1), model performance dependence on interannual variability (Case 3), and a compromise between the two (Case 2). Case 2 parameter files are uploaded as individual files; inputs and outputs for Case 1 and Case 3 are provided as compressed directories with model inputs and outputs for their respective parameters.
These data are published in support of the manuscript:
Marshall, A.M.; Link, T.E., Flerchinger, G.N., Nicolsky, D.J., Lucash, M.S. (2020). Ecohydrological modeling in deciduous boreal forest: Model evaluation for application in non-stationary climates. Manuscript submitted to Hydrological Processes.