served from IRI/LDEO Climate Data Library
USGS ADDS WRSI Sahel
WRSI Sahel from USGS ADDS: Africa Data Dissemination Service.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (1961) to (1996) by 12.0 N= 36 pts :grid
- x (projection_x_coordinate)
- grid: /x (m) ordered (-4600000.0 m) to (4600000.0 m) by 8000.0 N= 1151 pts :grid
- y (projection_y_coordinate)
- grid: /y (m) ordered (4600000.0 m) to (-4600000.0 m) by 8000.0 N= 1151 pts :grid
Other Info
- bufferwordsize
- 1
- CE
- 100
- CS
- 0
- datatype
- stringtype
- dx
- 8000.0
- dy
- 8000.0
- grid_mapping
- Projection
- image_type
- GENERIC
- iridl:hasSemantics
- irigaz:Africa_Sahelian_316_0
- lat_center
- 1.0
- long_center
- 20.0
- maxncolor
- 254
- parallel1
- -19.0
- parallel2
- 21.0
- pointwidth
- 12.0
- projection
- ALBERS EQUAL-AREA CONIC
- scale_max
- 100.0
- scale_min
- 0.0
- SpatialReferenceSystemDims
- x
y - SpatialReferenceSystemWKT
- PROJCS["Albers_Equal_Area_Conic",GEOGCS["GCS_North_American_1927",DATUM["D_North_American_1927",SPHEROID["Clarke_1866",6378206.4,294.9786982]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],PROJECTION["Albers"],PARAMETER["False_Easting",0],PARAMETER["False_Northing",0],PARAMETER["Central_Meridian",20],PARAMETER["Standard_Parallel_1",21],PARAMETER["Standard_Parallel_2",-19],PARAMETER["Latitude_Of_Origin",1],UNIT["Meter",1]]
- title
- Process Import Binary
- units
- percent
- valid_max
- 100
- valid_min
- 1
- x_center
- 575.5
- y_center
- 575.5
- standard units*
- 0.01
- colorscale
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | x | y | |
 USGS ADDS WRSI Sahel[ 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