served from IRI/LDEO Climate Data Library
∫dY detrended-bfl ∫dT detrended-bfl detrended-bfl detrended-bfl ∂T detrended-bfl detrended-bfl detrended-bfl detrended-bfl detrended-bfl ∂X detrended-bfl [ NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT ] : ∂T ∂X Precipitable water data
DAILY Intrinsic total_air_column PWAT PWAT PWAT PWAT adif partial_X adif adif adif adif adif adif partial_T adif adif adif int_dT int_dT adif ∂T ∂X 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 2 Jan 1948 - 1200 3 Jan 1948) to (1200 24 Sep 2023 - 1200 25 Sep 2023) by 1.0 N= 27660 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
- 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
- T: 0000 1 Apr 2002 to 0000 26 Sep 2023 appended from datestring
References
Kalnay, E., M. Kanamitsu, R. Kistler, W. Collins, D. Deaven, L. Gandin, M. Iredell, S. Saha, G. White, J. Woollen, Y. Zhu, A. Leetmaa, B. Reynolds, M. Chelliah, W. Ebisuzaki, W. Higgins, J. Janowiak, K. C. Mo, C. Ropelewski, J. Wang, R. Jenne, and D. Joseph. The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, March, 1996
Last updated: Thu, 28 Sep 2023 13:56:55 GMT
Expires: Fri, 29 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