Simultaneous Heat and Water (SHAW) model inputs and outputs in boreal Alaska, 2003-2018

This dataset supports a manuscript in which we describe SHAW (Simultaneous Heat and Water) model calibration using a Generalized Likelihood Uncertainty Estimation (GLUE) approach at four boreal forest sites in interior Alaska. Two sites (Smith Lake 1 and Smith Lake 2) are permafrost-underlain black spruce sites. The other two are upland deciduous sites that were burned at varying intervals prior to the study period (US-Rpf (Poker Flat Research Range) and UP1A (upland birch site in the Bonanza Creek LTER site)). Meteorological, vegetation, and soils data were obtained from a variety of resources, as detailed in the manuscript. Acceptable parameter sets are determined based on calibration to soil moisture and evaporation at these sites. Model instances with these parameter sets are then run with two downscaled climate models in order to evaluate the relative sensitivity of soil moisture and evapotranspiration to parameter selection, GCM (Global Climate Model), and climate change. These data include tabular summary results and model inputs and outputs for both observed meteorological forcings and GCM forcings for the accepted parameter sets. More details are in the manuscript, and file structures for the included data are described in the readme.md file. Data archived can be found here: https://doi.org/10.4211/hs.5a355d67357a4b8591def61602fe276b Please see related resources for full manuscript details.