data: Rwanda Water_Balance daily_rab Historical MaizeHiSOND WB_MH_SOND

Rwanda Water_Balance daily_rab Historical MaizeHiSOND WB_MH_SOND_8317 Kc: Maize high crop Cultivar data

Rwanda Water_Balance daily_rab Historical MaizeHiSOND WB_MH_SOND_8317 Maize high crop Cultivar from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Time (time): grid: /T (days since 1980-01-01) ordered (1 Jan 1983) to (30 Jun 2017) by 1.0 N= 12600 pts :grid

Other Info

calendar

standard

CE

null

colorscalename

rainbowcolorscale

CS

datatype

realarraytype

gridid

163765864

maxncolor

256

missing_value

NaN

pointwidth

1.0

scale_min

0.0

standard_name

time

units

unitless

history

mean [ T * ( 0. + 1. ) ]

Ss_lag positive indicates T * [ 0. + 1. ] lags
Averaged over Ss[1200 30 Dec 1981 - 1200 31 Dec 1981, 2400 29 Jun 2016] minimum 0.0% data present

[ T * ( 0. + 1. ) ] * 0.
Ss_lag positive indicates T * [ 0. + 1. ] lags

pad0 [ T * ( 0. + 1. ) ]

Ss: 1 Jan 1983 to 30 Jun 2017 appended from T * [ 0. + 1. ]
Ss: 1 Jul 2017 to 1 Jul 2018 appended from mean [ T * ( 0. + 1. ) ] + [ ( T * { 0. + 1. } ) * 0. ] -366.0 days

water_balance Kc

Boxes with less than 0.0% dropped

Last updated: Thu, 19 Mar 2020 13:48:38 GMT

Data Views

	T
Rwanda Water_Balance daily_rab Historical MaizeHiSOND WB_MH_SOND_8317 Kc[ \| T]	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 T
Differentiate along T
Take differences along T