Rwanda Water_Balance daily_rab Historical ClimbBeansMAM WB_CB_MAM_8317 Kc: Climbing beans crop Cultivar data
Rwanda Water_Balance daily_rab Historical ClimbBeansMAM WB_CB_MAM_8317 Climbing 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 (30 Jun 2017) by 1.0 N= 12600 pts :grid
Other Info
- calendar
- standard
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- 0
- 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
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
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units