AirWare On-line Reference Manual
| ||Release Level || 6.2 |
| ||Release Date ||2013 09 |
| ||Revision Level ||1.0|
Last modified on:
Sunday, 8-Sep-13 19:21 CEST
Dust entrainment: model inputs
The dust entrainment model estimates non-pyrogenic dust emission from natural surfaces
as a function of wind speed, land cover/vegetation, soil characteristics, and soil moisture, primarily.
The model inputs include:
- DEM: 1 km or (optional) 30 m resolution data sources http://free-gis-data.blogspot.com/2009/04/aster-global-digital-elevation-model.html
- Landcover, satellite derived
- Historical: http://edc2.usgs.gov/glcc/glcc_version1.php#Eurasia
- Recent: http://glovis.usgs.gov
- Soil data): http://www.fao.org (1:5M vector map) or local soil maps/data
classified into 3 groups: fine (heavy), medium, coarse.
- Vegatation data:
- NDVI (MODIS) https://lpdaac.usgs.gov/lpdaac/products/modis_overview with optional dynamic (seasonal, monthly)
NDVI data, interpolated.
- VCF, Vegetation Continuous Fields,
The Vegetation index (NDVI), directly obtained from remote sensing data or land cover/ land use
(e.g., CORINE or USGS classification (see: http://edc2.usgs.gov/glcc/afdoc2_0.php#olso (chapter 4.2) ,
with an NDVI range and default value associated with every land cover class);
the NDVI estimates can be derived from MODIS satellite data (500 m resolution, 32 day average
reflectance data). An alternative is a global data set from the Global Land Cover Facility
(www.landcover.org) that covers the percentage of woody vegetation, herbaceous vegetation,
and a bare ground percentage (source: http://glcf/umd.edu/data/vcf).
The Vegetation Continuous Fields collection contains proportional estimates for vegetative cover
types: woody vegetation, herbaceous vegetation, and bare ground. The product is derived from
all seven bands of the MODerate- resolution Imaging Spectroradiometer (MODIS)
sensor onboard NASA's Terra satellite. GLCF editions of MODIS products differ from
DAAC editions by coming in GeoTIFF format, geographic coordinates, WGS84 datum,
and a tiling system designed to fit well with Landsat imagery.
The continuous classification scheme of the VCF product may depict areas of heterogeneous land
cover better than traditional discrete classification schemes.
While traditional classification schemes indicate where land cover types are concentrated,
this VCF product is great for showing how much of a land cover such as "forest" or "grassland"
exists anywhere on a land surface.
DUSTENT input to be integrated
The product is derived from all seven bands of the
MODerate-resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA's
Terra satellite. The continuous classification scheme of the VCF product
may depict areas of heterogeneous land cover better than traditional
discrete classification schemes. While traditional classification schemes
indicate where land cover types are concentrated, this VCF product is more efficient
for showing how much of a land cover such as "forest" or
"grassland" exists anywhere on a land surface.
Vegetation index is based on MODIS Vegetation Continuous Fields .
The value used is the percentage of bare ground.
Vegetation index is not used for cities. Location of cities is based on
UMD Land Cover Classification .
Percentage of bare ground within cities and mining areas is user defined.
Contribution of unpaved roads is based on their total length within individual
cells and can be scaled by road width.
Re-entrainment takes place only within sealed surfaces in cities.
Percentage of sealed surfaces in cities is user defined.
User defined values used
are part of location set up.
Data files used:
- cns1 - coarse soil raster, value is percentage on one byte
- cns2 - medium soil raster, value is percentage on one byte
- cns3 - heavy soil raster, value is percentage on one byte
- sl4 - slope raster, value in the range 0 - 100 on one byte
- uandm - raster contining information about cities, mines, and unpaved roads
- vindex - vegetation index (bare ground percentage) on one byte
- Projection used UTM zone 36N, resolution 1 km
- Rasters start with the value of the NW corner (-1882000, 6304000) followed by the first row.
- The number of rows and columns in the rasters is 4800.