data: Rwanda Water_Balance daily Historical BushBeansMAM WB_BB_E_MAM

Rwanda Water_Balance daily Historical BushBeansMAM WB_BB_E_MAM_8314 Kc: Bush beans crop Cultivar data

Rwanda Water_Balance daily Historical BushBeansMAM WB_BB_E_MAM_8314 Bush beans 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 (31 Dec 2014) by 1.0 N= 11688 pts :grid

Other Info

calendar

standard

CE

null

colorscalename

rainbowcolorscale

CS

datatype

realarraytype

gridid

163759296

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 30 Dec 2013] 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 31 Dec 2014 appended from T * [ 0. + 1. ]
Ss: 1 Jan 2015 to 1 Jan 2016 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: Tue, 15 Aug 2017 14:04:01 GMT

Data Views

	T
Rwanda Water_Balance daily Historical BushBeansMAM WB_BB_E_MAM_8314 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