served from IRI/LDEO Climate Data Library
min ∂P ∂P ∫dP detrended-bfl mean [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) - ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp climatology ) ] : ∂P ∂P Temperature data
min ∂P ∂P ∫dP detrended-bfl mean [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) - ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp climatology ) ] . isIndependent Variables (Grids)
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
- 0.01 degree_Kelvin kilogram-1 meter second2
- history
- $partialdiff sub P$ $partialdiff sub P$ $integral dP$ detrended-bfl mean [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) - ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp climatology ) ] 253.125 mb 16 Oct 2019 - 15 Nov 2019
- Averaged over T2[1981, 2010]
Averaged over Y[26.25S, 26.25N]
min $partialdiff sub P$ $partialdiff sub P$ $integral dP$ detrended-bfl mean [ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) - ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp climatology ) ]- min over X[1.25E, 1.25W] P[714.0625 mb, 253.125 mb] T[16 Dec 1981 - 15 Jan 1982, 16 Oct 2019 - 15 Nov 2019]
- Averaged over T2[1981, 2010]
Last updated: Mon, 02 Dec 2019 14:42:39 GMT
Expires: Fri, 03 Jan 2020 00:00:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units