∂_{L1} root mean sq max detrendedbfl detrendedbfl detrendedbfl [ ECMWF S2S BOM forecast control sfc_stress ewss ] : ∂_{L1} Accumulated Eastward Turbulent Surface Stress data
forecast control sfc_stress ewss adif adif adif max max
∂_{L1} Accumulated Eastward Turbulent Surface Stress from ECMWF S2S BOM: BoM POAMA Ensemble.
Independent Variables (Grids)
 L1 (forecast_period)
 grid: /L1 (days) ordered (1.5 days) to (61.5 days) by 1.0 N= 61 pts :grid
 latitude (latitude)
 grid: /Y (degree_north) ordered [ (88.09951N) (85.63759N) (83.16113N) (80.68138N) (78.20039N) (75.7188N) (73.23686N) (70.75472N) (68.27245N) (65.79008N) (63.30764N) (60.82515N) (58.34262N) (55.86006N) (53.37748N) (50.89487N) (48.41226N) (45.92963N) (43.44699N) (40.96433N) (38.48167N) (35.99901N) (33.51634N) (31.03366N) (28.55098N) (26.0683N) (23.58561N) (21.10292N) (18.62023N) (16.13754N) (13.65484N) (11.17214N) (8.689447N) (6.206748N) (3.724049N) (1.24135N) (1.24135S) (3.724049S) (6.206748S) (8.689447S) (11.17214S) (13.65484S) (16.13754S) (18.62023S) (21.10292S) (23.58561S) (26.0683S) (28.55098S) (31.03366S) (33.51634S) (35.99901S) (38.48167S) (40.96433S) (43.44699S) (45.92963S) (48.41226S) (50.89487S) (53.37748S) (55.86006S) (58.34262S) (60.82515S) (63.30764S) (65.79008S) (68.27245S) (70.75472S) (73.23686S) (75.7188S) (78.20039S) (80.68138S) (83.16113S) (85.63759S) (88.09951S)] :grid
Other Info
 CE
 null
 CS
 null
 datatype
 realarraytype
 file_missing_value
 9.99900026E20
 gribPDSpattern
 04XXXX000B0226
 missing_value
 NaN
 pointwidth
 0.0
 units
 1.15740740740741×10^{05} kilogram meter^{1} second^{2}
 history
 $partialdiff sub L1$ root mean sq max detrendedbfl detrendedbfl detrendedbfl [ ECMWF S2S BOM forecast control sfc_stress ewss ]
 max over S[0000 3 Jan 2016, 0000 10 Nov 2019]
Averaged over X[1.253497W, 0.2464905W] minimum 0.0% data present
Last updated: Mon, 02 Dec 2019 22:23:37 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
L1
 Differentiate along Y
L1
 Take differences along Y
L1
Average over
Y
L1

Y L1

RMS (root mean square with mean *not* removed) over
Y
L1

Y L1

RMSA (root mean square with mean removed) over
Y
L1

Y L1

Maximum over
Y
L1

Y L1

Minimum over
Y
L1

Y L1

Detrend (bestfitline) over
Y
L1

Y L1

Note on units