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min [ ∫dY ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) climatology ]: Temperature data
min [ ∫dY ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (2.5W) by 2.5 N= 144 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (91.25N) to (91.25S) by 2.5 N= 74 pts :grid
Other Info
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- 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
- 0.0174532925199433 ( degree_Kelvin above 0 ) radian north
- history
- min [ $integral dY$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) climatology ]
- Averaged over T2[1949, 2024]
min over P[1000 mb, 10 mb]
- Averaged over T2[1949, 2024]
References
Kalnay_etal1996Last updated: Mon, 03 Nov 2025 15:04:49 GMT
Expires: Wed, 03 Dec 2025 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[MSL
surface
total_air_column
PressureLevel
] | |||
 min [ $integral dY$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel temp ) 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