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MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change
Earth systems models require gridded land surface properties to compute fluxes of water, energy, and carbon within the landscape and to the atmosphere. However, most parameter sets contain time-invariant properties despite their known variability. Here we present new MODerate Resolution Imaging Spec...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689012/ https://www.ncbi.nlm.nih.gov/pubmed/31399597 http://dx.doi.org/10.1038/s41597-019-0150-2 |
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author | Bohn, Theodore J. Vivoni, Enrique R. |
author_facet | Bohn, Theodore J. Vivoni, Enrique R. |
author_sort | Bohn, Theodore J. |
collection | PubMed |
description | Earth systems models require gridded land surface properties to compute fluxes of water, energy, and carbon within the landscape and to the atmosphere. However, most parameter sets contain time-invariant properties despite their known variability. Here we present new MODerate Resolution Imaging Spectroradiometer (MODIS)-based land surface parameters (MOD-LSP) formatted for the Variable Infiltration Capacity (VIC) hydrologic model that account for seasonal and interannual variability and longer-term change over the continental United States, Mexico, and southern Canada at 0.0625° spatial resolution and monthly temporal resolution. MOD-LSP improves over previously-available parameter sets via: (1) land cover maps of higher native spatial resolution; (2) multiple versions corresponding to the land cover of years 1992, 2001, and 2011; (3) spatially-explicit mean annual cycles of land surface properties, including leaf area index, canopy fraction, and albedo, derived from 17 years of observations; and (4) additional 17-year time series of these properties. The MOD-LSP parameters are useful as inputs to the VIC model, as an example land surface scheme, to assess the hydrologic impacts of land cover change from interannual to decadal scales; and as stand-alone datasets characterizing the temporal variability of these properties as a function of land cover class. |
format | Online Article Text |
id | pubmed-6689012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66890122019-08-19 MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change Bohn, Theodore J. Vivoni, Enrique R. Sci Data Data Descriptor Earth systems models require gridded land surface properties to compute fluxes of water, energy, and carbon within the landscape and to the atmosphere. However, most parameter sets contain time-invariant properties despite their known variability. Here we present new MODerate Resolution Imaging Spectroradiometer (MODIS)-based land surface parameters (MOD-LSP) formatted for the Variable Infiltration Capacity (VIC) hydrologic model that account for seasonal and interannual variability and longer-term change over the continental United States, Mexico, and southern Canada at 0.0625° spatial resolution and monthly temporal resolution. MOD-LSP improves over previously-available parameter sets via: (1) land cover maps of higher native spatial resolution; (2) multiple versions corresponding to the land cover of years 1992, 2001, and 2011; (3) spatially-explicit mean annual cycles of land surface properties, including leaf area index, canopy fraction, and albedo, derived from 17 years of observations; and (4) additional 17-year time series of these properties. The MOD-LSP parameters are useful as inputs to the VIC model, as an example land surface scheme, to assess the hydrologic impacts of land cover change from interannual to decadal scales; and as stand-alone datasets characterizing the temporal variability of these properties as a function of land cover class. Nature Publishing Group UK 2019-08-09 /pmc/articles/PMC6689012/ /pubmed/31399597 http://dx.doi.org/10.1038/s41597-019-0150-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Bohn, Theodore J. Vivoni, Enrique R. MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change |
title | MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change |
title_full | MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change |
title_fullStr | MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change |
title_full_unstemmed | MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change |
title_short | MOD-LSP, MODIS-based parameters for hydrologic modeling of North American land cover change |
title_sort | mod-lsp, modis-based parameters for hydrologic modeling of north american land cover change |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6689012/ https://www.ncbi.nlm.nih.gov/pubmed/31399597 http://dx.doi.org/10.1038/s41597-019-0150-2 |
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