data: max $integral dT$ [ ENACTS version0 WASP queriesENACTS caENACTS-last

max ∫dT [ ENACTS version0 WASP queriesENACTS caENACTS-last_WASP12 ] : Country-Average ENACTS 12-Month WASP data

WASP queriesENACTS caENACTS-last_WASP12 int_dT int_dT Country-Average ENACTS 12-Month WASP from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

country: grid: /country (ids) unordered [ (Burundi) (Djibouti) (Eritrea) (Ethiopia) (Kenya) (Rwanda) (Somalia) (South Sudan) (Sudan) (United Republic of Tanzania) (Uganda)] :grid

Other Info

CE

null

colorscalename

std_wasp_colors

CS

null

datatype

realarraytype

maxncolor

254

missing_value

NaN

pointwidth

1.0

units

months

standard units*

0.0833333333333333 year

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

$integral dT$ [ ENACTS version0 WASP queriesENACTS caENACTS-last_WASP12 ] 16 Jun 2010 - 15 Jul 2010

Boxes with less than 0.0% dropped

max $integral dT$ [ ENACTS version0 WASP queriesENACTS caENACTS-last_WASP12 ]

max over T[16 Jun 1981 - 15 Jul 1981, 16 Jun 2010 - 15 Jul 2010]

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

Data Views

	country
max $integral dT$ [ ENACTS version0 WASP queriesENACTS caENACTS-last_WASP12 ] [ \| country]	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 country
Differentiate along country
Take differences along country