SHAW model inputs and outputs in boreal Alaska

• Main Authors: Adrienne M Marshall, Timothy Link, Gerald Flerchinger, Melissa Lucash
• Format: Dataset
• Language: unknown
• Published: 2021
• Subjects: evapotranspiration; SHAW model; boreal; soil moisture; hydrologic_modeling; volumetric water content; Smith Lake; permafrost; Alaska
• Online Access: https://search.dataone.org/view/sha256:66df4313c0be2689769ae4c59eb35b25c7d2059a00ce2434fc40c5fe47da85f8

This dataset support a manuscript in which we describe SHAW 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 and UP1A). 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, 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 (see below). Please see related resources for full manuscript details.