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min ∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ] : Relative humidity data
NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum rhum int_dT Relative humidity from NOAA: National Oceanic and Atmospheric Adminstration.Independent Variables (Grids)
- Pressure
- grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300)] :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
- grib_name
- RH
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 10
- gribparam
- 52
- gribvariable
- 52
- PDS_TimeRange
- 113
- pointwidth
- 1.0
- process
- 62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run
- PTVersion
- 2
- subcenter
- NCEP Ensemble Products
- units
- 864 second
- history
- min over T[1200 16 Dec 1979 - 1200 16 Jan 1980, 1200 16 Aug 2014 - 1200 16 Sep 2014]
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: Wed, 10 Jan 2018 15:23:36 GMT
Expires: Fri, 03 Oct 2014 00:00:00 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 P
- Differentiate along X Y P
- Take differences along X Y P
RMS (root mean square with mean *not* removed) over X Y P | X Y X P Y P | X Y P |
RMSA (root mean square with mean removed) over X Y P | X Y X P Y P | X Y P |
Maximum over X Y P | X Y X P Y P | X Y P |
Minimum over X Y P | X Y X P Y P | X Y P |
Detrend (best-fit-line) over X Y P | X Y X P Y P | X Y P |
Note on units