served from IRI/LDEO Climate Data Library
∫dY [ NASA ISLSCP GDSLAM Vegetation zol ] climatology: roughness data
zol int_dY roughness from NASA ISLSCP GDSLAM Vegetation: Global data sets for land-atmosphere models, including the Normalized Difference Vegetation Index and other vegetation data parameters.Documents
| dataset documentation |
Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- 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 (90N) to (90S) by 1.0 N= 181 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- Averaged over T2[1987, 1988]
Last updated: Mon, 12 Sep 2016 21:16:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dY$ [ NASA ISLSCP GDSLAM Vegetation zol ] climatology[ X Y T |] | M | M | M |
|---|
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 T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units