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max [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ) climatology ]: Relative humidity data
max [ ∫dT ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ) climatology ].Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid
Other Info
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- CS
- null
- datatype
- realarraytype
- 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
- 0.000833333333333333 year
- history
- max [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ) climatology ]
- Averaged over T2[16 Dec 1948 - 15 Dec 1949, 16 Dec 2019 - 15 Dec 2020]
max over X[0, 2.5W] P[1000 mb, 300 mb]
- Averaged over T2[16 Dec 1948 - 15 Dec 1949, 16 Dec 2019 - 15 Dec 2020]
References
Redland error: BDB V4.1+ open of '/ingrid-tmp/referencelist-sp2o.db' failed - Permission deniedLast updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Sat, 03 Jul 2021 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[surface
PressureLevel
MSL
total_air_column
] | ||
| NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBTZW
CBVW
CBVQ
relv
vvel
u
vtemp
CBTW
phi
CBMZW
v
vpot
CBTMW
psi
CBUW
temp
reld
rhum
CBUQ
qa
CBQW
] | ||
 max [ $integral dT$ ( NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel rhum ) climatology ][ 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