served from IRI/LDEO Climate Data Library
ANACIM CPT NextGen ENACTSPRCP_NMME_C3S NextGen History CrossValHind: cross-validated hindcasts data
cross-validated hindcasts from ANACIM CPT NextGen ENACTSPRCP_NMME_C3S NextGen History: Predictand, Hindcast and Skill.Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1993) to (0000 1 Dec 2016) by 1.0 N= 288 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (18.075W) to (10.725W) by 0.0375 N= 197 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.7N) to (17.2875N) by 0.03750001 N= 150 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm /month
- standard units*
- 0.012 meter year-1
Last updated: Wed, 15 Sep 2021 09:39:50 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 ANACIM CPT NextGen ENACTSPRCP_NMME_C3S NextGen History CrossValHind[ S | X Y] | 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 S X Y
- Differentiate along S X Y
- Take differences along S X Y
RMS (root mean square with mean *not* removed) over S X Y | S X S Y X Y | S X Y |
RMSA (root mean square with mean removed) over S X Y | S X S Y X Y | S X Y |
Maximum over S X Y | S X S Y X Y | S X Y |
Minimum over S X Y | S X S Y X Y | S X Y |
Detrend (best-fit-line) over S X Y | S X S Y X Y | S X Y |
Note on units