data: $integral dT$ mean [ Guatemala CC pr ]

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∫dT mean [ Guatemala CC pr ] : Precipitation data

CC pr pr int_dT Precipitation from Guatemala: Guatemala Meteorology Agency.

Independent Variables (Grids)

Time (time): grid: /T (days since 1960-01-01) ordered [ (0000 15 Jul 2009) (0000 15 Jul 2019) (0000 15 Jul 2029) (0000 15 Jul 2039) (0000 15 Jul 2049) (0000 15 Jul 2059) (0000 15 Jul 2069) (0000 15 Jul 2079) (0000 15 Jul 2089) (0000 15 Jul 2099)] :grid
Latitude (latitude): grid: /Y (degree_north) ordered (13.31257N) to (18.25725N) by 0.2247581 N= 23 pts :grid

Other Info

bufferwordsize: 8
CE: null
cell_methods: time: mean
coordinates: xlat xlon
CS: null
datatype: doublearraytype
grid_mapping: crs
standard_name: precipitation_flux
units: 3600 kilogram meter^-2
history: Averaged over X[92.75332W, 87.84678W]

Last updated: Fri, 22 Oct 2021 15:14:06 GMT

Data Views

	T	Y
grid: /Y (degree_north) ordered (13.31257N) to (18.25725N) by 0.2247581 N= 23 pts :grid		M
grid: /T (days since 1960-01-01) ordered [ (0000 15 Jul 2009) (0000 15 Jul 2019) (0000 15 Jul 2029) (0000 15 Jul 2039) (0000 15 Jul 2049) (0000 15 Jul 2059) (0000 15 Jul 2069) (0000 15 Jul 2079) (0000 15 Jul 2089) (0000 15 Jul 2099)] :grid	M
$integral dT$ mean [ Guatemala CC pr ] [ Y \| T]	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 T
Differentiate along Y T
Take differences along Y T

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units