data: $integral dX$ [ Ethiopia CPT JJAS_2018_IRI total_rainfall History PearsonR

∫dX [ Ethiopia CPT JJAS_2018_IRI total_rainfall History PearsonR_prcp ]: Precipitation Pearson's Correlation data

PearsonR_prcp Precipitation Pearson's Correlation from Ethiopia CPT JJAS_2018_IRI total_rainfall History: Predicand, Hindcast and Skill.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (32.95E) to (48.05E) by 0.09999999 N= 152 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (3N) to (15N) by 0.1 N= 121 pts :grid

Other Info

bufferwordsize: 8
CE: 1
colorscalename: correlationcolorscale
CS: -1
datatype: doublearraytype
maxncolor: 254
units: degree_east
standard units*: 0.0174532925199433 radian east
colorscale

Last updated: Wed, 01 Feb 2023 14:07:40 GMT

Data Views

	X	Y
$integral dX$ [ Ethiopia CPT JJAS_2018_IRI total_rainfall History PearsonR_prcp ][ X Y \|]	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
Differentiate along X Y
Take differences along X Y

Average over X Y | 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