data: root mean sq detrended-bfl [ $integral dT$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ]

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root mean sq detrended-bfl [ ∫dT ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] : precipitation data

CHIRPS v1p8 dekad prcp int_dT int_dT adif precipitation from UCSB: UC Santa Barbara.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (49.975N) to (49.975S) by 0.05 N= 2000 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

prcp_dekadrate_max600_smooth

CS

null

datatype

doublearraytype

file_missing_value

-9999.0

maxncolor

254

missing_value

NaN

standard_name

lwe_precipitation_rate

units

86.4 meter second

history

root mean sq detrended-bfl [ $integral dT$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ]

Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Averaged over X[180W, 180] T[0000 1 Jan, 2359 20 Dec] minimum 0.0% data present

References

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Last updated: Thu, 02 Nov 2023 07:43:25 GMT
Expires: Tue, 01 Jul 2025 00:00:00 GMT

Data Views

	Y
root mean sq detrended-bfl [ $integral dT$ ( UCSB CHIRPS v1p8 dekad prcp ) climatology ] [ Y \|]	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
Differentiate along Y
Take differences along Y