detrendedbfl root mean sq anom ∫dY root mean sq anom detrendedbfl root mean sq anom ∫dX detrendedbfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] : Accumulated Total Precipitation data
forecast perturbed sfc_precip tp adif int_dX int_dX adif adif int_dY int_dY adif Accumulated Total Precipitation from ECMWF S2S ISAC: ISACCNR Ensemble.
Independent Variables (Grids)
 Longitude (longitude)
 grid: /X (degree_east) ordered (1.253497W) to (0.2464905W) by 2.506993 N= 145 pts :grid
 Latitude (latitude)
 grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
 CE
 null
 CS
 null
 datatype
 realarraytype
 file_missing_value
 9.99900026E20
 gribPDSpattern
 04XXXX000B0134
 missing_value
 NaN
 pointwidth
 0.0
 standard_name
 precipitation_amount
 units
 0.000304617419786709 kilogram meter^{2} radian^{2} north
 history
 $integral dY$ root mean sq anom detrendedbfl root mean sq anom $integral dX$ detrendedbfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ] 0000 12 Mar 2020
 Averaged over M[1, 40] minimum 0.0% data present
Averaged over L[0.0 days, 31.0 days] minimum 0.0% data present
detrendedbfl root mean sq anom $integral dY$ root mean sq anom detrendedbfl root mean sq anom $integral dX$ detrendedbfl [ ECMWF S2S ISAC forecast perturbed sfc_precip tp ]  Averaged over S[0000 9 Nov 2015, 0000 12 Mar 2020] minimum 0.0% data present
Last updated: Fri, 03 Apr 2020 17:27:03 GMT
Filters
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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.
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Average over
Y
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RMSA (root mean square with mean removed) over
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Maximum over
Y
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Y
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Note on units