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∂S [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Forecast ]: ∂S Pronóstico data
Forecast ∂S Pronóstico from NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- S
- grid: /S (months since 1960-01-01) unordered [ (0000 16 Dec 2020) (0000 16 Jan 2021) (0000 16 Feb 2021) (0000 16 Mar 2021) (0000 16 Apr 2021) (0000 16 May 2021) (0000 16 Jun 2021) (0000 16 Jul 2021) (0000 16 Aug 2021) (0000 1 Oct 2018) (0000 16 Nov 2015) (0000 16 Dec 2015) (0000 16 Jan 2016) (0000 16 Feb 2016) (0000 16 Mar 2016) (0000 16 Apr 2016) (0000 16 May 2016) (0000 16 Jun 2016) (0000 16 Jul 2016) (0000 16 Aug 2016) (0000 16 Sep 2016) (0000 16 Oct 2016) (0000 16 Nov 2016) (0000 16 Dec 2016) (0000 16 Jan 2017) (0000 16 Feb 2017) (0000 16 Mar 2017) (0000 16 Apr 2017) (0000 16 May 2017) (0000 16 Jun 2017) (0000 16 Jul 2017) (0000 16 Aug 2017) (0000 16 Sep 2017) (0000 16 Oct 2017) (0000 16 Nov 2017) (0000 16 Dec 2017) (0000 16 Jan 2018) (0000 16 Feb 2018) (0000 16 Mar 2018) (0000 16 Apr 2018) (0000 16 May 2018) (0000 16 Jun 2018) (0000 16 Jul 2018) (0000 16 Aug 2018) (0000 16 Sep 2018) (0000 16 Oct 2018) (0000 16 Nov 2018) (0000 16 Dec 2018) (0000 16 Jan 2019) (0000 16 Feb 2019) (0000 16 Mar 2019) (0000 16 Apr 2019) (0000 16 May 2019) (0000 16 Jun 2019) (0000 16 Jul 2019) (0000 16 Aug 2019) (0000 16 Sep 2019) (0000 16 Oct 2019) (0000 16 Nov 2019) (0000 16 Dec 2019) (0000 16 Jan 2020) (0000 16 Feb 2020) (0000 16 Mar 2020) (0000 16 Apr 2020) (0000 16 May 2020) (0000 16 Jun 2020) (0000 16 Jul 2020) (0000 16 Aug 2020) (0000 16 Sep 2020) (0000 16 Oct 2020) (0000 16 Nov 2020) (0000 16 Dec 2020) (0000 16 Jan 2021) (0000 16 Feb 2021) (0000 16 Mar 2021) (0000 16 Apr 2021) (0000 16 May 2021) (0000 16 Jun 2021) (0000 16 Jul 2021) (0000 16 Aug 2021) (0000 16 Sep 2021) (0000 16 Oct 2021) (0000 16 Nov 2021) (0000 16 Dec 2021) (0000 16 Jan 2022) (0000 16 Feb 2022) (0000 16 Mar 2022) (0000 16 Apr 2022) (0000 16 May 2022) (0000 16 Jun 2022) (0000 16 Jul 2022) (0000 16 Aug 2022) (0000 16 Sep 2022) (0000 16 Oct 2022) (0000 16 Nov 2022) (0000 16 Dec 2022) (0000 16 Jan 2023) (0000 16 Feb 2023) (0000 16 Mar 2023) (0000 16 Apr 2023)] :grid
- Longitud (longitude)
- grid: /X (degree_east) ordered (119.9W) to (70W) by 0.1 N= 500 pts :grid
- Latitud (latitude)
- grid: /Y (degree_north) ordered (4.95S) to (39.95N) by 0.1 N= 450 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- S: 0000 1 Nov 2015 to 0000 1 May 2023 appended from NextGen CPT Estacional CHIRPS Guatemala REALTIME1 NextGen1 Forecast Forecast
Last updated: Mon, 20 Mar 2023 20:23:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 $partialdiff sub S$ [ NextGen CPT Estacional CHIRPS Guatemala NextGen1 Forecast Forecast ] 2.5 months[ X Y | L S] | M | M | 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 X Y S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units