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SHAW model inputs and outputs in boreal Alaska

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Type: Resource
Storage: The size of this resource is 1.9 GB
Created: Feb 26, 2021 at 6:58 p.m.
Last updated: Sep 23, 2022 at 12:54 p.m.
DOI: 10.4211/hs.5a355d67357a4b8591def61602fe276b
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Sharing Status: Published
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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 file (see below).

Please see related resources for full manuscript details.

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Interior AK near Fairbanks
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:


File structure and contents

The file structure is as follows:

  • info_results: This folder contains several csvs that summarize the results of the modeling exercises. They are:

  • experimental_design_all.csv: describes the parameters used in each model run. The column "run_number" is a key ID that is used throughout these files to identify unique parameter sets. This file contains a column for each parameter that was calibrated in the GLUE analysis.

  • all_rmses.csv: contains columns for run number, depth, maximum date (indicating whether a run completed), site, root mean squared error of volumetric water content at a given depth, percent difference between modeled and observed growing season evaporation at the site at which evaporation was available. This file contains results in the calibration period only for all parameter sets - not just those that were deemed acceptable.

  • behavioral_params.csv: contains columns for run number and model performance in the calibration period for behavioral parameters only, with average values across sites.

  • cal_val_objectives.csv: contains model fit statistics for each behavioral parameter set in the calibration and validation periods.

  • future_summary.csv: contains a summary of the results of model simulations with downscaled GCM data. Columns are site name, run number (parameter set), GCM, year, growing season ET (mm), and mean growing season volumetric water content at the presumed rooting depth for that site.

  • site folders: Each site (UP1A, Smith Lake 1, Smith Lake 2, and US-Rpf) have a folder containing model inputs and outputs. These files are formatted as SHAW model inputs and outputs. File formats, current SHAW distributions, and model documentation can all be obtained at: For each site, files include:

-site_name.wea: Gap-filled input meteorological data for SHAW model forcing. These are formatted as hourly inputs to the SHAW model and as such lack column headers. Variables are, in order: day, hour, year, air temperature (°C), wind speed (m/s), relative humidity (%), snow density (set to 0 and calculated by SHAW), and downward shortwave radiation (W/m2).

-site_name.inp: Input file for the SHAW model that gives file names to the model.

-site_name.sit: Input file for the SHAW model that gives parameters. These are best-estimate prior parameters based on site information and literature review.

-GFDL-CM3.wea and NCAR-CCSM4.wea: Downscaled CMIP5 GCM outputs for the collocated 20km grid cell, bias-corrected to available meteorological data for each site as described in the manuscript. Formatting is the same as the site meteorological data.

-run_xxxxxxxxx: These folders contain the inputs and outputs specific to a given model instantiation with a particular parameter set. The file name matches the run_number column in experimental_design_all.csv. In each of these folders is a set of SHAW model inputs and outputs for the given parameter set, using observed historical climate forcing. Within each folder is also a subfolder for each GCM, containing SHAW outputs when forced with data from that GCM. If file formats are unclear, please see SHAW documentation or contact the authors of this dataset.

Related Resources

This resource is described by Marshall, A. M., Link, T. E., Flerchinger, G. N., & Lucash, M. S. (2021). Importance of Parameter and Climate Data Uncertainty for Future Changes in Boreal Hydrology. Water Resources Research, 57(8), e2021WR029911.
The content of this resource is derived from AmeriFlux site US-UAF:
The content of this resource is derived from AmeriFlux site US-Rpf:
The content of this resource is derived from Bonanza Creek Long-Term Ecological Research site UP1A:
The content of this resource is derived from Geophysical Institute Permafrost Laboratory sites Smith Lake 1 and Smith Lake 2:
The content of this resource is derived from NOAA Global Historical Climatology Network Daily:
The content of this resource is derived from Scenarios Network for Alaska and Arctic Planning (SNAP) downscaled climate data:
The content of this resource is derived from We respectfully acknowledge that the data used in this research was gathered on the ancestral and unceded traditional territories of the lower Tanana Dene Peoples and the Dena'ina Peoples.
This resource is described by Marshall, A. M., Link, T. E., Flerchinger, G. N., & Lucash, M. S. (2021). Parameter and climate data uncertainty as important as climate change for future changes in boreal hydrology [Preprint]. Hydrology.


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: Regional impacts of increasing fire frequency on carbon dynamics and species composition in the boreal forest NSF Grant #1737413

How to Cite

Marshall, A. M., T. Link, G. Flerchinger, M. Lucash (2021). SHAW model inputs and outputs in boreal Alaska, HydroShare,

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