∂_{X} ∂_{P} ∂_{X} mean mean [ ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp )  ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp climatology ) ] : ∂_{X} ∂_{P} ∂_{X} Temperature data
∂_{X} ∂_{P} ∂_{X} mean mean [ ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp )  ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp climatology ) ] .
Independent Variables (Grids)
 P
 grid: /P (mb) ordered [ (775.0) (650.0) (550.0) (450.0) (350.0) (275.0) (225.0)] :grid
 Longitude (longitude)
 grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
Other Info
 calendar
 standard
 CE
 null
 center
 US Weather Service  National Met. Center
 colorscalename
 std_anomaly_colors
 CS
 null
 datatype
 realarraytype
 grib_name
 TMP
 gribfield
 1
 GRIBgridcode
 2
 gribleveltype
 100
 gribNumBits
 13
 gribparam
 11
 gribvariable
 11
 maxncolor
 254
 PDS_TimeRange
 113
 pointwidth
 1.0
 process
 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
 PTVersion
 2
 subcenter
 NCEP Ensemble Products
 units
 32.8280635001174 degree_Kelvin kilogram^{1} meter radian^{2} east second^{2}
 history
 mean [ ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp )  ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp climatology ) ]
 Averaged over T2[1981, 2010]
Averaged over Y[26.25S, 26.25N]
$partialdiff sub X$ $partialdiff sub P$ $partialdiff sub X$ mean mean [ ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp )  ( NOAA NCEPNCAR CDAS1 MONTHLY Intrinsic PressureLevel temp climatology ) ]  Averaged over T[Dec 1981, Oct 2019]
Last updated: Tue, 05 Nov 2019 17:10:35 GMT
Expires: Tue, 03 Dec 2019 00:00:00 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 X
P
 Differentiate along X
P
 Take differences along X
P
Average over
X
P

X P

RMS (root mean square with mean *not* removed) over
X
P

X P

RMSA (root mean square with mean removed) over
X
P

X P

Maximum over
X
P

X P

Minimum over
X
P

X P

Detrend (bestfitline) over
X
P

X P

Note on units