Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2)

Li, Zhi; Li, Bing; Jiang, Peishi; Hammond, Glenn; Shuai, Pin; Zahura, Faria; Coon, Ethan; Chen, Xingyuan

doi:10.15485/2006549

Title: Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2)

Dataset
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Abstract

This data package is associated with the publication “Evaluating Post-fire Watershed Response to Varying Burn Severity and Precipitation Regimes Using Fully-distributed and Integrated Hydrologic Models” submitted to Journal of Hydrology (Li et al. 2025). In this study, we employed the Advanced Terrestrial Simulator (ATS), an integrated watershed model that couples surface flow, subsurface flow, and canopy biophysical processes, to investigate post-fire hydrologic responses in a few selected watersheds with varying burn severity.The data package contains the required input data (meteorological forcing, Leaf Area Index, wildfire burn severities, etc.) to run the model, configuration files, the Jupyter notebooks in Python to pre-process and post-process data, the figures in the manuscript, and the modeling output files. The variables include watershed-averaged evapotranspiration, watershed-averaged surface/subsurface/canopy water content, and river discharge at watershed outlet.The data package contains a file-level metadata that lists and describes all the files contained in the data package (ATS_flmd.csv), a data dictionary file that defines columns headers across all csv files contained in the data package (ATS_dd.csv), a data package level readme file (the current file), and four zipped folders.The ‘data’ folder provides data needed to run the model in .h5, .i2s, .xyz, .shp, and .exo formats. The sub-folders are formore »« less

Authors:

;

; Zahura, Faria; Coon, Ethan;

Pacific Northwest National Laboratory (PNNL)
Utah State University
Oak Ridge National Laboratory

Publication Date:: Tue Sep 26 00:00:00 EDT 2023

DOE Contract Number:: AC02-05CH11231

Research Org.:: River Corridor and Watershed Biogeochemistry SFA

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; Air temperature; Burn severity; Canopy evaporation; Canopy water content; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Model Data Archiving Guidelines; Evapotranspirition; Hydrologic model; Hydrology; Incoming shortwave radiation; Infiltration; Net groundwater flux; Net runoff; Peak flow discharge; Precipitation; Rain precipitation; Relative humidity; River discharge; Snow evaporation; Snow precipitation; Snow water content; Snowmelt; Soil; Subsurface water content; Surface evaporation; Surface runoff; Surface water content; Time; Transpiration; Vapor pressure air; Wildfire

OSTI Identifier:: 2006549

DOI:: https://doi.org/10.15485/2006549

Citation Formats


                    Li, Zhi, Li, Bing, Jiang, Peishi, Hammond, Glenn, Shuai, Pin, Zahura, Faria, Coon, Ethan, and Chen, Xingyuan. Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2).  United States: N. p., 2023. 
        Web.  doi:10.15485/2006549.

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                    Li, Zhi, Li, Bing, Jiang, Peishi, Hammond, Glenn, Shuai, Pin, Zahura, Faria, Coon, Ethan, & Chen, Xingyuan. Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2).  United States.  doi:https://doi.org/10.15485/2006549

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                    Li, Zhi, Li, Bing, Jiang, Peishi, Hammond, Glenn, Shuai, Pin, Zahura, Faria, Coon, Ethan, and Chen, Xingyuan. 2023.  
"Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2)".  United States.  doi:https://doi.org/10.15485/2006549.  https://www.osti.gov/servlets/purl/2006549. Pub date:Tue Sep 26 00:00:00 EDT 2023

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@article{osti_2006549,

  title        = {Data and scripts associated with the manuscript evaluating the hydrologic responses of the Pacific Northwest watersheds to wildfires (v2)},

  author       = {Li, Zhi and Li, Bing and Jiang, Peishi and Hammond, Glenn and Shuai, Pin and Zahura, Faria and Coon, Ethan and Chen, Xingyuan},

  abstractNote = {This data package is associated with the publication “Evaluating Post-fire Watershed Response to Varying Burn Severity and Precipitation Regimes Using Fully-distributed and Integrated Hydrologic Models” submitted to Journal of Hydrology (Li et al. 2025). In this study, we employed the Advanced Terrestrial Simulator (ATS), an integrated watershed model that couples surface flow, subsurface flow, and canopy biophysical processes, to investigate post-fire hydrologic responses in a few selected watersheds with varying burn severity.The data package contains the required input data (meteorological forcing, Leaf Area Index, wildfire burn severities, etc.) to run the model, configuration files, the Jupyter notebooks in Python to pre-process and post-process data, the figures in the manuscript, and the modeling output files. The variables include watershed-averaged evapotranspiration, watershed-averaged surface/subsurface/canopy water content, and river discharge at watershed outlet.The data package contains a file-level metadata that lists and describes all the files contained in the data package (ATS_flmd.csv), a data dictionary file that defines columns headers across all csv files contained in the data package (ATS_dd.csv), a data package level readme file (the current file), and four zipped folders.The ‘data’ folder provides data needed to run the model in .h5, .i2s, .xyz, .shp, and .exo formats. The sub-folders are for each data types. The ‘model’ folder provides input files (.xml format) and essential model outputs. Each sub-folder provides the files from each simulated watershed. The ‘notebooks’ folder provides the Jupyter notebooks (.ipynb format) for pre- and post- processing model files, and for producing the figures in the manuscript. The ‘figures’ folder provides the figures associated with manuscript in .pdf and .png formats.The ‘model’ folder and the ‘data’ folder have been split into 5GB-large pieces using the Linux command ‘split -b 5120m model.zip model.zip.’ and ‘split -b 5120m data.zip data.zip.’, respectively. They can be merged back using the Linux command ‘cat model.zip.* > model.zip’ and ‘cat data.zip.* > data.zip’, respectively.},

  doi          = {10.15485/2006549},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Sep 26 00:00:00 EDT 2023},

  month        = {Tue Sep 26 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.15485/2006549

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