served from 197.155.140.164
root mean sq ∂T [ ∂P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) anomalies ] : ∂T ∂P Temperature data
root mean sq ∂T [ ∂P ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) anomalies ] .Independent Variables (Grids)
- P
- grid: /P (mb) ordered [ (962.5) (887.5) (775.0) (650.0) (550.0) (450.0) (350.0) (275.0) (225.0) (175.0) (125.0) (85.0) (60.0) (40.0) (25.0) (15.0)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1949 - 15 Feb 1949) to (16 Jan 2023 - 15 Feb 2023) by 1.0 N= 889 pts :grid
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- grib_name
- TMP
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 13
- gribparam
- 11
- gribvariable
- 11
- 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
- 0.12 degree_Kelvin kilogram-1 meter second2 year-1
- history
- root mean sq $partialdiff sub T$ [ $partialdiff sub P$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) anomalies ]
- Averaged over T2[1949, 2022]
Averaged over X[1.25W, 1.25W] Y[91.25S, 91.25N]
- Averaged over T2[1949, 2022]
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Kalnay_etal1996Last updated: Mon, 27 Mar 2023 13:29:42 GMT
Data Views
Views
data as colors
data as contours
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 P T
- Differentiate along P T
- Take differences along P T
RMS (root mean square with mean *not* removed) over P T | P T |
RMSA (root mean square with mean removed) over P T | P T |
Maximum over P T | P T |
Minimum over P T | P T |
Detrend (best-fit-line) over P T | P T |
Note on units