From MFKP_wiki

Jump to: navigation, search

Selection: Broxton:PD [2 articles] 

Publications by author Broxton:PD.
 

A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling

  
Journal of Advances in Modeling Earth Systems, Vol. 8, No. 1. (March 2016), pp. 41-65, https://doi.org/10.1002/2015ms000526

Abstract

Earth's terrestrial near-subsurface environment can be divided into relatively porous layers of soil, intact regolith, and sedimentary deposits above unweathered bedrock. Variations in the thicknesses of these layers control the hydrologic and biogeochemical responses of landscapes. Currently, Earth System Models approximate the thickness of these relatively permeable layers above bedrock as uniform globally, despite the fact that their thicknesses vary systematically with topography, climate, and geology. To meet the need for more realistic input data for models, we developed a high-resolution ...

 

A MODIS-based global 1-km maximum green vegetation fraction dataset

  
Journal of Applied Meteorology and Climatology, Vol. 53, No. 8. (21 May 2014), pp. 1996-2004, https://doi.org/10.1175/jamc-d-13-0356.1

Abstract

Global land-cover data are widely used in regional and global models because land cover influences land–atmosphere exchanges of water, energy, momentum, and carbon. Many models use data of maximum green vegetation fraction (MGVF) to describe vegetation abundance. MGVF products have been created in the past using different methods, but their validation with ground sites is difficult. Furthermore, uncertainty is introduced because many products use a single year of satellite data. In this study, a global 1-km MGVF product is developed on ...

Visual summary

  • Caption: [Excerpt from the article] Green vegetation fraction (GVF; Deardorff 1978) is widely used in global models [...] Along with leaf area index (LAI; Myneni et al. 2002), GVF is used to describe the abundance of vegetation in most global models [...] The Community Land Model (CLM; Lawrence and Chase 2007) currently uses estimates of maximum GVF from ‘‘Continuous Fields’’ (CF) data that are based on measurements from the Moderate Resolution Imaging
This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/author/Broxton:PD

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.