data: root mean sq mean [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB

root mean sq mean [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] : Probabilidades - Categorías data

PROB_FCST PROB_FCST Probabilidades - Categorías from NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 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 Jan 2021) by 1.0 N= 25 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (12N) to (19N) by 1.0 N= 8 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

percent

standard units*

0.01

history

root mean sq mean [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ]

Averaged over C[Bajo, Sobre] minimum 0.0% data present
Averaged over X[94.5W, 86.5W] minimum 0.0% data present

Last updated: Wed, 06 Jan 2021 16:05:25 GMT
Expires: Sat, 09 May 2020 00:00:00 GMT

Data Views

	L	S	Y
root mean sq mean [ NextGen CPT 1p0 Guatemala GFDL-CM2p5-FLOR-A06 Forecast PROB_FCST ] 2.5 months[ Y \| S L]	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 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