data: mean [ Rwanda CPT NextGen 0p25 NextGen Forecast Z ]

served from maproom.meteorwanda.gov.rw

mean [ Rwanda CPT NextGen 0p25 NextGen Forecast Z ]: Z data

Z Z Z from Rwanda CPT NextGen 0p25 NextGen Forecast: Forecast and Error.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered [ (0000 1 Nov 2019) (0000 1 Dec 2019) (0000 1 Jan 2020) (0000 1 Feb 2020) (0000 1 Mar 2020) (0000 1 Apr 2020) (0000 1 May 2020) (0000 1 Jun 2020) (0000 1 Jul 2020) (0000 1 Aug 2020) (0000 1 Sep 2020) (0000 1 Oct 2020) (0000 1 Nov 2020) (0000 1 Dec 2020) (0000 1 Jan 2021) (0000 1 Feb 2021) (0000 1 Mar 2021) (0000 1 Apr 2021) (0000 1 May 2021) (0000 1 Jun 2021) (0000 1 Jul 2021) (0000 1 Aug 2021) (0000 1 Sep 2021) (0000 1 Oct 2021) (0000 1 Nov 2021) (0000 1 Dec 2021) (0000 1 Jan 2022) (0000 1 Feb 2022) (0000 1 Mar 2022) (0000 1 Apr 2022) (0000 1 May 2022) (0000 1 Jun 2022) (0000 1 Jul 2022) (0000 1 Aug 2022) (0000 1 Sep 2022) (0000 1 Oct 2022) (0000 1 Nov 2022) (0000 1 Dec 2022) (0000 1 Jan 2023) (0000 1 Feb 2023) (0000 1 Mar 2023) (0000 1 Apr 2023) (0000 1 May 2023) (0000 1 Jun 2023) (0000 1 Jul 2023) (0000 1 Aug 2023) (0000 1 Sep 2023) (0000 1 Oct 2023) (0000 1 Nov 2023) (0000 1 Dec 2023) (0000 1 Jan 2024) (0000 1 Feb 2024) (0000 1 Mar 2024) (0000 1 Apr 2024) (0000 1 May 2024) (0000 1 Jun 2024) (0000 1 Jul 2024)] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: unitless
history: Averaged over Modos[1, 5] minimum 0.0% data present

Last updated: Fri, 13 Dec 2019 13:14:14 GMT
Expires: Thu, 09 Jan 2020 00:00:00 GMT

Data Views

	L	S
mean [ Rwanda CPT NextGen 0p25 NextGen Forecast Z ] 2.5 months[ \| L S]	M	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 S
Differentiate along S
Take differences along S