Model linkage to assess forest disturbance impacts on water quality: a wildfire case study using LANDIS(II)-VELMA
These files contain the inputs, outputs, and metadata files for VELMA and LANDIS-II calibration. Output and analysis files from the LANDIS-VELMA linkage are also provided. There is an additional zip file that contains the data used for creating the figures for the manuscript and appendices.
This dataset is associated with the following publication:
Venable, K., J. Johnston, S. Leduc, and L. Prieto. Model linkage to assess forest disturbance impacts on water quality: A wildfire case study using LANDIS(II)-VELMA. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 180: 106134, (2024).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Kar'Retta Venable",
"hasEmail": "mailto:venable.karretta@epa.gov"
}
|
| description | These files contain the inputs, outputs, and metadata files for VELMA and LANDIS-II calibration. Output and analysis files from the LANDIS-VELMA linkage are also provided. There is an additional zip file that contains the data used for creating the figures for the manuscript and appendices. This dataset is associated with the following publication: Venable, K., J. Johnston, S. Leduc, and L. Prieto. Model linkage to assess forest disturbance impacts on water quality: A wildfire case study using LANDIS(II)-VELMA. ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY, 180: 106134, (2024). |
| distribution |
[
{
"title": "07192024MSData.zip",
"mediaType": "application/zip",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528060/07192024MSData.zip"
},
{
"title": "07192024MSFigureFiles.zip",
"mediaType": "application/zip",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528060/07192024MSFigureFiles.zip"
}
]
|
| identifier | https://doi.org/10.23719/1528060 |
| keyword |
[
"Forest Management",
"Hayman Fire",
"LANDIS-II",
"VELMA",
"biomass",
"evapotranspiration",
"land use",
"nutrient dynamics",
"precipitation",
"remote sensing",
"water treatment"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2022-12-02 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1016/j.envsoft.2024.106134"
]
|
| rights |
null
|
| title | Model linkage to assess forest disturbance impacts on water quality: a wildfire case study using LANDIS(II)-VELMA |
