served from IRI/LDEO Climate Data Library
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure anomalies climatology: Pressure data
MONTHLY Intrinsic MSL pressure pressure pressure Pressure from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project.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 (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
- file_missing_value
- 9.99900026E20
- grib_name
- PRES
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 102
- gribNumBits
- 13
- gribparam
- 1
- gribvariable
- 1
- missing_value
- NaN
- 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
- Pa
- standard units*
- kilogram meter-1 second-2
- history
- NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic MSL pressure anomalies climatology
- Averaged over T2[1949, 2023] minimum 0.0% data present
Averaged over T2[1949, 2023] minimum 0.0% data present
- Averaged over T2[1949, 2023] minimum 0.0% data present
References
Kalnay_etal1996Last updated: Sun, 03 Mar 2024 21:55:23 GMT
Expires: Wed, 03 Apr 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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