served from 181.199.253.14
∂S [ Hydromet Seasonal_Forecast Precipitation target_length ]: ∂S Length of forecast time data
Precipitation target_length target_length partial_S partial_S ∂S Length of forecast time from Hydromet Seasonal_Forecast: Seasonal Forecast.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 May 2019 - 1200 31 May 2019) (1200 31 May 2019 - 2400 30 Jun 2019) (0000 1 Jul 2019 - 1200 31 Jul 2019) (1200 31 Jul 2019 - 1200 31 Aug 2019) (1200 31 Aug 2019 - 2400 30 Sep 2019) (0000 1 Oct 2019 - 1200 31 Oct 2019) (1200 31 Oct 2019 - 2400 30 Nov 2019) (0000 1 Dec 2019 - 1200 31 Dec 2019) (1200 31 Dec 2019 - 1200 31 Jan 2020) (1200 31 Jan 2020 - 1200 1 Mar 2020) (1200 1 Mar 2020 - 1200 31 Mar 2020) (1200 31 Mar 2020 - 2400 30 Apr 2020) (0000 1 May 2020 - 1200 31 May 2020) (1200 31 May 2020 - 2400 30 Jun 2020) (0000 1 Jul 2020 - 1200 31 Jul 2020) (1200 31 Jul 2020 - 1200 31 Aug 2020) (1200 31 Aug 2020 - 2400 30 Sep 2020) (0000 1 Oct 2020 - 1200 31 Oct 2020) (1200 31 Oct 2020 - 2400 30 Nov 2020) (0000 1 Dec 2020 - 1200 31 Dec 2020) (1200 31 Dec 2020 - 1200 31 Jan 2021) (1200 31 Jan 2021 - 2400 1 Mar 2021) (0000 2 Mar 2021 - 1200 31 Mar 2021) (1200 31 Mar 2021 - 2400 30 Apr 2021) (0000 1 May 2021 - 1200 31 May 2021) (1200 31 May 2021 - 2400 30 Jun 2021)] :grid
Other Info
- calendar
- 360
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1036800 second year-1
- history
- Averaged in T with overlapping interval 3
Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Data Views
Views
line plots
color bars
scatter| L | S | |
 $partialdiff sub S$ [ Hydromet Seasonal_Forecast Precipitation target_length ] 2.5 months[ S L |] | 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
RMS (root mean square with mean *not* removed) over S |
RMSA (root mean square with mean removed) over S |
Maximum over S |
Minimum over S |
Detrend (best-fit-line) over S |
Note on units