data: max $integral dT$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ]

max ∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] : Covar. u and T data

max ∫dT [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] .

Independent Variables (Grids)

Pressure: grid: /P (mb) ordered [ (1000) (925) (850) (700) (600) (500) (400) (300) (250) (200) (150) (100) (70) (50) (30) (20) (10)] :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: CBTZW
gribfield: 1
GRIBgridcode: 2
gribleveltype: 100
gribNumBits: 16
gribparam: 197
gribvariable: 197
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: 86400 ( degree_Kelvin above 0 ) meter
history: max over T[1200 16 Dec 1948 - 1200 16 Jan 1949, 1200 16 Dec 2021 - 1200 16 Jan 2022]

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, 09 Mar 2022 20:30:18 GMT
Expires: Thu, 03 Feb 2022 00:00:00 GMT

Data Views

	P	X	Y
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic[total_air_column MSL PressureLevel surface ]
NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel[CBMZW phi CBUQ v qa psi vvel CBVW CBTW rhum vpot CBUW reld CBQW CBVQ CBTZW CBTMW relv temp u vtemp ]
max $integral dT$ [ NOAA NCEP-NCAR CDAS-1 MONTHLY Intrinsic PressureLevel CBTZW ] [ X Y \| P]	M	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 P
Differentiate along X Y P
Take differences along X Y P