data: $integral dprovince$ max [ ENACTS version0 WASP queriesENACTS paENACTS-last

∫dprovince max [ ENACTS version0 WASP queriesENACTS paENACTS-last_WASP12 ] : Province-Average ENACTS 12-Month WASP data

WASP queriesENACTS paENACTS-last_WASP12 max Province-Average ENACTS 12-Month WASP from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

province: grid: /province (ids) unordered [ (Abim) (aba) (�q�) ... (Ntungamo)] N= 239 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 ids

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 paENACTS-last_WASP12 0000 1 Jul 2010

Boxes with less than 0.0% dropped

$integral dprovince$ max [ ENACTS version0 WASP queriesENACTS paENACTS-last_WASP12 ]

max over T[0000 1 Jul 1981, 0000 1 Jul 2010]

Last updated: Mon, 28 Oct 2024 09:34:35 GMT
Expires: Sun, 10 Nov 2024 00:00:00 GMT

Data Views

	province
$integral dprovince$ max [ ENACTS version0 WASP queriesENACTS paENACTS-last_WASP12 ] [ \| province]	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 province
Differentiate along province
Take differences along province