served from IRI/LDEO Climate Data Library
detrended-bfl detrended-bfl detrended-bfl detrended-bfl ∫dX detrended-bfl ∫dY detrended-bfl ∫dX ∫dY detrended-bfl detrended-bfl [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ] : Precipitable water data
DAILY Intrinsic total_air_column PWAT PWAT PWAT PWAT PWAT adif adif int_dY int_dX adif int_dY adif int_dX adif adif adif adif Precipitable water from NOAA NCEP-NCAR CDAS-1: Climate Data Assimilation System I; NCEP-NCAR Reanalysis Project.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1948-01-01 12:00:00) ordered (1200 1 Jan 1948 - 1200 2 Jan 1948) to (1200 18 Sep 2023 - 1200 19 Sep 2023) by 1.0 N= 27655 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (0) to (0) by 2.5 N= 145 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
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
- 9.2791772437512×10-08 kilogram meter-2 radian4 east
- history
- T: 0000 1 Apr 2002 to 0000 19 Sep 2023 appended from datestring
References
Kalnay_etal1996Last updated: Thu, 21 Sep 2023 13:55:34 GMT
Expires: Fri, 22 Sep 2023 13:40:00 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