served from maproom.metmalawi.gov.mw
∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] anomalies climatology: ∂T Pressure data
∂T [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] anomalies climatology.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (16 Jan - 15 Feb) to (16 Dec - 15 Jan) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (1.25E) to (1.25W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- grib_name
- PRES
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 1
- gribNumBits
- 16
- gribparam
- 1
- gribvariable
- 1
- 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
- 12 kilogram meter-1 second-2 year-1
- history
- $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] anomalies climatology
- Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2013 - 15 Jan 2014]
Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2013 - 15 Jan 2014]
- Averaged over T2[16 Jan 1949 - 15 Jan 1950, 16 Jan 2013 - 15 Jan 2014]
References
Kalnay_etal1996Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface
PressureLevel
MSL
total_air_column
] | |||
 $partialdiff sub T$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic surface pressure ] anomalies climatology[ X Y T |] | M | M | M |
|---|
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 Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units