served from IRI/LDEO Climate Data Library
NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic sigma_044-100 rhum: Relative humidity data
DAILY Intrinsic sigma_044-100 Relative humidity 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 (1 Sep 1998) to (29 May 2024) by 1.0 N= 9403 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
- sigma layer
- grid: /Z1 (ids) unordered [ (sigma_044-100)] :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- center
- US Weather Service - National Met. Center
- datatype
- realarraytype
- grib_name
- RH
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 108
- gribNumBits
- 7
- gribparam
- 52
- gribvariable
- 52
- missing_value
- 9.99900026E20
- PDS_TimeRANGE
- 113
- pointwidth
- 1.0
- process
- (180) 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 2
- scale_max
- 100.0
- scale_min
- 0.0
- standard_name
- relative_humidity
- subcenter
- NCEP Ensemble Products
- units
- percent
- standard units*
- 0.01
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: Fri, 31 May 2024 13:55:39 GMT
Expires: Sat, 01 Jun 2024 13:40:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | Z1 | |
 NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic sigma_044-100 rhum sigma_044-100[ X Y | Z1 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 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