served from IRI/LDEO Climate Data Library
GISS AMIP SAHUM anomalies: SURFACE AIR SPECIFIC HUMIDITY data
SAHUM SURFACE AIR SPECIFIC HUMIDITY from GISS AMIP: The surface diagnostics from an atmospheric model simulation with AMIP boundary conditions..Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1985) to (Dec 1988) by 1.0 N= 48 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (177.5W) to (177.5E) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90S) to (90N) by 4.0 N= 46 pts :grid
Other Info
- CE
- null
- CS
- null
- units
- g /kg
- standard units*
- 0.001
- history
- Averaged over T2[1985, 1988]
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 GISS AMIP SAHUM anomalies[ 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