data: root mean sq [ ENACTS version0 WASP queriesENACTS daENACTS-last

root mean sq [ ENACTS version0 WASP queriesENACTS daENACTS-last_WASP12 ]: District-Average ENACTS 12-Month WASP data

WASP queriesENACTS daENACTS-last_WASP12 District-Average ENACTS 12-Month WASP from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

district: grid: /district (ids) unordered [ (Abu Hamad) (Abu Jubaiyah) (Abyei) ... (Zone 5)] N= 941 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

std_wasp_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

pointwidth

1.0

units

unitless

history

[ ( { [ ENACTS version0 monthly rainfall rfe ] - [ ENACTS version0 monthly rainfall rfe climatology ] } / masklt { root mean sq [ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ] , 0.01 } ) * ( { ENACTS version0 monthly climatologies rfe } / masklt { [ mean ( ENACTS version0 monthly climatologies rfe ) * 12. ] , 0.001 } ) ] / masklt [ root mean sq anom ( { [ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ] / masklt [ root mean sq ( { ENACTS version0 monthly rainfall rfe } - { ENACTS version0 monthly rainfall rfe climatology } ) , 0.01 ] } * { [ ENACTS version0 monthly climatologies rfe ] / masklt [ ( mean { ENACTS version0 monthly climatologies rfe } * 12. ) , 0.001 ] } ) , 0.01 ]

[ ( { ENACTS version0 monthly rainfall rfe } - { ENACTS version0 monthly rainfall rfe climatology } ) / masklt ( root mean sq { [ ENACTS version0 monthly rainfall rfe ] - [ ENACTS version0 monthly rainfall rfe climatology ] } , 0.01 ) ] * [ ( ENACTS version0 monthly climatologies rfe ) / masklt ( { mean [ ENACTS version0 monthly climatologies rfe ] * 12. } , 0.001 ) ]

[ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ] / masklt [ root mean sq ( { ENACTS version0 monthly rainfall rfe } - { ENACTS version0 monthly rainfall rfe climatology } ) , 0.01 ]

[ ENACTS version0 monthly rainfall rfe ] - [ ENACTS version0 monthly rainfall rfe climatology ]
Averaged over T2[1981, 2010] minimum 0.0% data present

masklt [ root mean sq ( { ENACTS version0 monthly rainfall rfe } - { ENACTS version0 monthly rainfall rfe climatology } ) , 0.01 ]

root mean sq [ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ]

Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T2[1981, 2010] minimum 0.0% data present

[ ENACTS version0 monthly climatologies rfe ] / masklt [ ( mean { ENACTS version0 monthly climatologies rfe } * 12. ) , 0.001 ]

ENACTS version0 monthly climatologies rfe
Averaged over T2[1981, 2010] minimum 0.0% data present

masklt [ ( mean { ENACTS version0 monthly climatologies rfe } * 12. ) , 0.001 ]

mean [ ENACTS version0 monthly climatologies rfe ] * 12.

Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T[Jan, Dec] minimum 0.0% data present

Averaged in T with overlapping interval 12
Boxes with less than 0.0% dropped

masklt [ root mean sq anom ( { [ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ] / masklt [ root mean sq ( { ENACTS version0 monthly rainfall rfe } - { ENACTS version0 monthly rainfall rfe climatology } ) , 0.01 ] } * { [ ENACTS version0 monthly climatologies rfe ] / masklt [ ( mean { ENACTS version0 monthly climatologies rfe } * 12. ) , 0.001 ] } ) , 0.01 ]

[ ENACTS version0 monthly rainfall rfe ] - [ ENACTS version0 monthly rainfall rfe climatology ]
Averaged over T2[1981, 2010] minimum 0.0% data present

masklt [ root mean sq ( { ENACTS version0 monthly rainfall rfe } - { ENACTS version0 monthly rainfall rfe climatology } ) , 0.01 ]

root mean sq [ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ]

Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T2[1981, 2010] minimum 0.0% data present

[ ENACTS version0 monthly climatologies rfe ] / masklt [ ( mean { ENACTS version0 monthly climatologies rfe } * 12. ) , 0.001 ]

ENACTS version0 monthly climatologies rfe
Averaged over T2[1981, 2010] minimum 0.0% data present

masklt [ ( mean { ENACTS version0 monthly climatologies rfe } * 12. ) , 0.001 ]

mean [ ENACTS version0 monthly climatologies rfe ] * 12.

Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T[Jan, Dec] minimum 0.0% data present

Averaged in T with overlapping interval 12
Boxes with less than 0.0% dropped

root mean sq anom [ ( { [ ENACTS version0 monthly rainfall rfe ] - [ ENACTS version0 monthly rainfall rfe climatology ] } / masklt { root mean sq [ ( ENACTS version0 monthly rainfall rfe ) - ( ENACTS version0 monthly rainfall rfe climatology ) ] , 0.01 } ) * ( { ENACTS version0 monthly climatologies rfe } / masklt { [ mean ( ENACTS version0 monthly climatologies rfe ) * 12. ] , 0.001 } ) ]

Averaged over T2[16 Jun 1981 - 15 Jun 1982, 16 Jun 2009 - 15 Jun 2010] minimum 0.0% data present

[ masklt / masklt ] [ mean ( ENACTS version0 monthly climatologies rfe ) , 0.25 ]

mean [ ENACTS version0 monthly climatologies rfe ]

Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T[Jan, Dec] minimum 0.0% data present

ENACTS version0 WASP queriesENACTS daENACTS-last_WASP12

Boxes with less than 0.0% dropped

root mean sq [ ENACTS version0 WASP queriesENACTS daENACTS-last_WASP12 ]

Averaged over T[0000 1 Jul 1981, 0000 1 Jul 2010] minimum 0.0% data present

Last updated: Thu, 20 Feb 2025 09:48:13 GMT
Expires: Mon, 10 Mar 2025 00:00:00 GMT

Data Views

	district
root mean sq [ ENACTS version0 WASP queriesENACTS daENACTS-last_WASP12 ][ \| district]	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 district
Differentiate along district
Take differences along district