served from IRI/LDEO Climate Data Library
∫dY ∫dY [ ECOSYSTEMS Matthews vegetation ] : vegetation index data
vegetation int_dY vegetation index from ECOSYSTEMS Matthews: Global vegetation and ecosystems data.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90.5S) to (90.5N) by 1.0 N= 182 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:LandCover
- missing_values
- -9999
99999 - source
- Matthews Global Vegetation Index
- units
- ids degree_north degree_north
References
Matthews, E. 1983. Global vegetation and land use: New high-resolution data bases for climate studies. J. Clim. Appl. Meteor. 22, 474-487Matthews, E. 1984. Prescription of Land-surface Boundary Conditions in GISS GCM II: A Simple Method Based on High-resolution Vegetation Data Sets. NASA TM-86096. National Aeronautics and Space Administration. Washington, D.C.
Last updated: Mon, 16 Feb 2015 21:51:21 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units