served from IRI/LDEO Climate Data Library
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi: Geopotential height data
MONTHLY Intrinsic PressureLevel phi Geopotential height from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project.Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1949) to (Mar 2024) by 1.0 N= 903 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 (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- center
- US Weather Service - National Met. Center
- datatype
- realarraytype
- grib_name
- HGT
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 12
- gribparam
- 7
- gribvariable
- 7
- missing_value
- 9.99900026E20
- PDS_TimeRange
- 113
- pointwidth
- 1.0
- process
- 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 2
- scale_max
- 32321.5
- scale_min
- -334.29999
- subcenter
- NCEP Ensemble Products
- units
- gpm
- standard units*
- meter
References
Kalnay_etal1996Last updated: Fri, 19 Apr 2024 13:58:12 GMT
Expires: Fri, 03 May 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| P | T | X | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel phi[ X Y | P T] | M | M | M | M |
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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 P T
- Differentiate along X Y P T
- Take differences along X Y P T
RMS (root mean square with mean *not* removed) over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
RMSA (root mean square with mean removed) over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Maximum over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Minimum over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Detrend (best-fit-line) over X Y P T | X Y X P X T Y P Y T P T | X Y P X Y T X P T Y P T | X Y P T |
Note on units