max max detrendedbfl ∂_{L1} mean [ ECMWF S2S BOM forecast control sfc_stress ewss ] : ∂_{L1} Accumulated Eastward Turbulent Surface Stress data
forecast control sfc_stress ewss ewss partial_L1 adif max
∂_{L1} Accumulated Eastward Turbulent Surface Stress from ECMWF S2S BOM: BoM POAMA Ensemble.
Independent Variables (Grids)
 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
 bufferwordsize
 8
 CE
 null
 CS
 null
 datatype
 doublearraytype
 file_missing_value
 9.99900026E20
 gribPDSpattern
 04XXXX000B0226
 missing_value
 NaN
 pointwidth
 0.0
 units
 1.15740740740741×10^{05} kilogram meter^{1} second^{2}
 history
 max detrendedbfl $partialdiff sub L1$ mean [ ECMWF S2S BOM forecast control sfc_stress ewss ]
 Averaged over S[0000 3 Jan 2016, 2400 19 Oct 2019] minimum 0.0% data present
max over L1[1.5 days, 61.5 days]
max max detrendedbfl $partialdiff sub L1$ mean [ ECMWF S2S BOM forecast control sfc_stress ewss ]  max over X[0, 1.5W]
Last updated: Mon, 11 Nov 2019 22:04:06 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
 Differentiate along Y
 Take differences along Y
Average over
Y

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

RMSA (root mean square with mean removed) over
Y

Maximum over
Y

Minimum over
Y

Detrend (bestfitline) over
Y

Note on units