Published April 5, 2019 | Version 1.0
Dataset Open

MOD-LSP: MODIS-Based Parameters for Variable Infiltration Capacity (VIC) Model over the Continental US, Mexico, and Southern Canada

  • 1. ASU School of Earth and Space Exploration

Description

The MOD-LSP project contains MODIS-based land and surface (soil and vegetation) parameters for the Variable Infiltration Capacity (VIC) model (Liang et al., 1994), release 5.0 and later (Hamman et al., 2018). The MOD-LSP spatial domain covers the continental United States, Mexico, and southern Canada; the associated domain files can be found in the PITRI archive (Bohn et al. 2018). This spatial domain and 0.625° (6 km) grid resolution are compatible with the gridded daily meteorological forcings of Livneh et al. (2015) ("L2015" hereafter) (http://ciresgroups.colorado.edu/livneh/data/daily-observational-hydrometeorology-data-set-north-american-extent), which can be disaggregated to hourly time step via the MetSim tool (Bennett et al. 2018) using the aforementioned PITRI domain files (Bohn et al. 2018).

These parameters have two main purposes: (1) to improve upon previous widely-used parameters over the region (e.g., L2015) with updated, higher-resolution land cover maps and spatially explicit observations of surface properties; and (2) to expand from a single parameter set corresponding to one point in time to a series of parameter sets that account for temporal variability at seasonal to decadal scales.

A detailed description of methods, the data sources and purposes of different VIC parameter sets within MOD-LSP, and how to use them with VIC, can be found in the MOD-LSP User Guide.pdf, included here. The scripts that were used to create the MOD-LSP parameters are archived on Zenodo and GitHub (Bohn 2019).

If you wish to present or publish results that use these parameter sets, please cite the following paper:

Bohn, T. J., and E. R. Vivoni, 2019b: MOD-LSP, MODIS-based land surface properties for assessing land cover variability and change over North America. Sci. Data, 6, 144, doi: 10.1038/s41597-019-0150-2.

In addition, if you use the domain files associated with the PITRI precipitation disaggregation to accompany the MOD-LSP parameter files in VIC simulations, please cite the following paper:

Bohn, T. J., K. M. Whitney, G. Mascaro, and E. R. Vivoni, 2019: A deterministic approach for approximating the diurnal cycle of precipitation for use in large-scale hydrological modeling. J. Hydrometeorol., 20, 297–317, doi:10.1175/JHM-D-18-0203.1.

Contents:

  • MOD-LSP User Guide v1.0.pdf - Explains how parameters were generated and how to set up the files for input in VIC simulations.
  • global_param.template - Template for global_parameter file, which lists the locations of the other input files and sets various simulation options. The template contains placeholders for some filenames and simulation options, which must be replaced with real values by the user.
  • params.$DOMAIN.L2015.nc - VIC-5 compliant NetCDF parameter files with values taken from the L2015 project for domain $DOMAIN (which is one of "CONUS_MX" or "USMX").
  • params.CONUS_MX.MOD_IGBP.mode.2000_2016.nc - VIC-5 compliant NetCDF parameter file over the CONUS_MX domain, with land cover fractions taken from the MODIS MCD12Q1.006 product and an annual cycle of land surface properties (LAI, Fcanopy, albedo) derived from the climatological mean of MODIS observations over the period 2000-2016.
  • params.USMX.NLCD_INEGI.$LCID.2000_2016.nc - VIC-5 compliant NetCDF parameter file over the USMX domain, with land cover fractions taken from the NLCD_INEGI dataset, from year = $LCID, and an annual cycle of land surface properties (LAI, Fcanopy, albedo) derived from the climatological mean of MODIS observations over the period 2000-2016.
  • params.USMX.NLCD_INEGI.$LCID.$YYYY_$YYYY.nc - VIC-5 compliant NetCDF parameter file over the USMX domain, with land cover fractions taken from the NLCD_INEGI dataset, from year = $LCID, and an annual cycle of land surface properties (LAI, Fcanopy, albedo) derived from the MODIS observations from a single year $YYYY.
  • veg_hist.$DOMAIN.$LCTYPE.$LCID.2000_2016.nc - timeseries of monthly land surface properties (LAI, Fcanopy, albedo) from MODIS observations spanning years 2000-2016, over domain $DOMAIN, aggregated over land cover classification $LCTYPE from year $LCID.

Files

MOD-LSP User Guide v1.0.pdf

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Additional details

References

  • Bennett, A., J. J. Hamman, B. Nijssen, E. A. Clark, and K. M. Andreadis, 2018: UW-Hydro/MetSim: Version 1.1.0 (version 1.1.0). Zenodo, doi:10.5281/zenodo.1256120. http://doi.org/10.5281/zenodo.1256120 (Accessed June 6, 2018).
  • Bohn, T. J., 2019: tbohn/VIC_Landcover_MODIS_NLCD_INEGI: Tools to Create MOD-LSP MODIS-Based Parameters for the Variable Infiltration Capacity (VIC) Model over the Continental United States, Mexico, and Southern Canada, v1.5 (Version v1.5). Zenodo, doi:10.5281/zenodo.2632040. http://doi.org/10.5281/zenodo.2632040 (Accessed April 8, 2019).
  • Bohn, T. J., and E. R. Vivoni, 2016: Process‐based characterization of evapotranspiration sources over the North American monsoon region. Water Resour. Res., 52, 358–384.
  • Bohn, T. J., and E. R. Vivoni, 2019a: NLCD_INEGI: Harmonized US-Mexico Land Cover Change Dataset, 1992/2001/2011 (Version 1.1) [Data set]. Zenodo, doi:10.528/zenodo.2591501. https://zenodor.org/record/2591501.
  • Bohn, T. J., and E. R. Vivoni, 2019b: MOD-LSP, MODIS-based land surface properties for assessing land cover variability and change over North America. Sci. Data, 6, 144, doi: 10.1038/s41597-019-0150-2.
  • Bohn, T. J., K. M. Whitney, G. Mascaro, and E. R. Vivoni, 2019: A deterministic approach for approximating the diurnal cycle of precipitation for use in large-scale hydrological modeling. J. Hydrometeorol., 20, 297–317, doi:10.1175/JHM-D-18-0203.1.
  • Hamman, J. J., B. Nijssen, T. J. Bohn, D. R. Gergel, and Y. Mao, 2018: The Variable Infiltration Capacity Model, Version 5 (VIC-5): Infrastructure improvements for new applications and reproducibility. Geosci. Model Dev., 11, 3481–3496.
  • Homer, C. G., and Coauthors, 2015: Completion of the 2011 National Land Cover Database for the conterminous United States - Representing a decade of land cover change information. Photogramm. Eng. Remote Sens., 81, 345–354.
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  • INEGI, 2014: Conjunto de datos vectoriales de Uso del Suelo y Vegetación, Escala 1:250 000, Serie V (Capa Unión). http://www.inegi.org.mx/geo/contenidos/recnat/usosuelo/ (Accessed September 30, 2015).
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  • Livneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and southern Canada 1950–2013. Nat. Sci. Data, 2, 150042, doi:10.1038/sdata.2015.42
  • Myneni, R., and Coauthors, 2002: Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ., 83, 214–231
  • Schaaf, C. B., and Coauthors, 2002: First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sens. Environ., 83, 135–148.