data: detrended-bfl min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ]

detrended-bfl min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ] : Relative humidity data

NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum rhum min Relative humidity from NOAA: National Oceanic and Atmospheric Adminstration.

Independent Variables (Grids)

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: percent
standard units*: 0.01
history: min over P[1000 mb, 300 mb] T[Jan 1980, Aug 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

	X	Y
detrended-bfl min [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ] [ X Y \|]	M	M

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
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units