served from IRI/LDEO Climate Data Library
root mean sq root mean sq [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ] : Precipitable water data
DAILY Intrinsic total_air_column PWAT PWAT Precipitable water from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- 9.99900026E20
- grib_name
- PWAT
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 200
- gribNumBits
- 10
- gribparam
- 54
- gribvariable
- 54
- missing_value
- NaN
- PDS_TimeRANGE
- 113
- pointwidth
- 0.0
- process
- (180) 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 2
- standard_name
- atmosphere_mass_content_of_water_vapor
- subcenter
- NCEP Ensemble Products
- units
- kg /m2
- standard units*
- kilogram meter-2
- history
- root mean sq [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ]
- T: 0000 1 Apr 2002 to 0000 17 Apr 2024 appended from datestring
Averaged over Y[91.25S, 91.25N] minimum 0.0% data present
root mean sq root mean sq [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ]- Averaged over X[1.25W, 1.25W] T[1200 31 Dec 1947 - 1200 1 Jan 1948, 2400 17 Apr 2024] minimum 0.0% data present
- T: 0000 1 Apr 2002 to 0000 17 Apr 2024 appended from datestring
References
Kalnay_etal1996Last updated: Fri, 19 Apr 2024 17:10:15 GMT
Expires: Sat, 20 Apr 2024 13:40:00 GMT
Data Views
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units