∂Y root mean sq ∂Y [ NextGen CPT 1p0 Guatemala NCEP-CFSv2-Bash Forecast PredErrorVars ] : ∂Y ∂Y prediction error variance data
PredErrorVars partial_Y partial_Y
∂Y ∂Y prediction error variance from NextGen CPT 1p0 Guatemala NCEP-CFSv2-Bash Forecast: Forecast and Error.
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Hecho en (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2019) to (0000 1 Sep 2021) by 1.0 N= 33 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (13N) to (18N) by 1.0 N= 6 pts :grid
Other Info
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 256
- missing_value
- NaN
- pointwidth
- 0
- units
- 4.3976208178098×10-13 meter2 radian-2 north second-2
- history
- Averaged over X[94.5W, 86.5W] minimum 0.0% data present
Last updated: Fri, 10 Sep 2021 03:56:05 GMT
Expires: Wed, 09 Sep 2020 00:00:00 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 Y
S
- Differentiate along Y
S
- Take differences along Y
S
Average over
Y
S
|
Y S
|
RMS (root mean square with mean *not* removed) over
Y
S
|
Y S
|
RMSA (root mean square with mean removed) over
Y
S
|
Y S
|
Maximum over
Y
S
|
Y S
|
Minimum over
Y
S
|
Y S
|
Detrend (best-fit-line) over
Y
S
|
Y S
|
Note on units