served from maproom.metmalawi.gov.mw
root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa anomalies ]: Specific humidity data
root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa anomalies ].Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (2359 18 Nov 1948 - 2359 19 Nov 1948) (2359 17 Jan 1949 - 2359 18 Jan 1949) (2359 18 Mar 1949 - 2359 19 Mar 1949) ... (0002 2 Jun 2015 - 0002 3 Jun 2015)] N= 476 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
- SPFH
- gribfield
- 1
- GRIBgridcode
- 2
- gribleveltype
- 100
- gribNumBits
- 15
- gribparam
- 51
- gribvariable
- 51
- 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
- unitless
- history
- root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa anomalies ]
- Averaged over T2[1949, 2013]
Averaged over X[1.25W, 1.25W] P[250.0 mb, 1050.0 mb]
- Averaged over T2[1949, 2013]
References
Kalnay_etal1996Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Fri, 03 Oct 2014 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[psi
CBTW
rhum
CBUW
reld
CBQW
CBVQ
CBTZW
CBTMW
relv
temp
vtemp
vpot
CBMZW
CBUQ
u
phi
qa
vvel
v
CBVW
] | ||
 root mean sq [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel qa anomalies ][ Y | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units