NOAA ESRL PSD rean20thcent V1 monthly monolevel spread pottmp: Monthly Potential Temperature Spread at sigma level 0.995 data

spread Monthly Potential Temperature Spread at sigma level 0.995 from NOAA ESRL PSD rean20thcent V1 monthly monolevel: Data for a single level or integrated over the full depth of the atmosphere.

Independent Variables (Grids)

Latitude (latitude)
grid: /lat (degree_north) ordered (90N) to (90S) by 2.0 N= 91 pts :grid
Longitude (longitude)
grid: /lon (degree_east) periodic (0) to (2W) by 2.0 N= 180 pts :grid
Time (time)
grid: /T (months since 1960-01-01) ordered (Jan 1908) to (Dec 1958) by 1.0 N= 612 pts :grid

Other Info

actual_range
[ 0.04712628 21.52643 ]
add_offset
32.765999
cell_methods
time: mean (monthly from 6-hourly values)
Dataset
NOAA-CIRES 20th Century Reanalysis Monthly Averages
datatype
shortarraytype
GRIB_id
13
GRIB_name
POT
level_desc
sigma level 0.995
missing_value
32766
parent_stat
Mean of Ensemble Spread
precision
3
scale_factor
0.001
standard_name
air_potential_temperature
statistic
Mean of Ensemble Spread
statistic_note
These values represent a time mean of the 4 times daily ensemble spreads and are not the ensemble mean spreads of monthly averages. To get that value, you will need to divide the time-averaged variance by the number of effective independent times (which is related to the autocorrelation of that variable)
units
degree_Celsius
unpacked_valid_range
[ 0.0 65.530998 ]
valid_range
[ -32766 32765 ]
var_desc
Potential Temperature
standard units*
degree_Kelvin

References

Compo, G. P., J. S. Whitaker, P. D. Sardeshmukh, N. Matsui, R. J. Allan, X. Yin, B. E. Gleason, R. S. Vose, G. Rutledge, P. Bessemoulin, S. Bronnimann, M. Brunet, R. I. Crouthamel, A. N. Grant, P. Y. Groisman, P. D. Jones, M. Kruk, A. C. Kruger, G. J. Marshall, M. Maugeri, H. Y. Mok, O. Nordli, T. F. Ross, R. M. Trigo, X. L. Wang, S. D. Woodruff, S. J. Worley, 2011: The Twentieth Century Reanalysis Project. Quarterly J. Roy. Meteorol. Soc., 137, 1-28. DOI: 10.1002/qj.776.

Compo, G. P., J. S. Whitaker, and P. D. Sardeshmukh, 2006: Feasibility of a 100 year reanalysis using only surface pressure data. Bull. Amer. Met. Soc., 87, 175-190

Whitaker, J. S., G. P. Compo, X. Wei, and T. M. Hamill, 2004: Reanalysis without radiosondes using ensemble data assimilation. Mon. Wea. Rev., 132, 1190-1200.

Last updated: Fri, 18 Sep 2015 18:39:07 GMT

Data Views

latlonT
[ lon lat | T]MMM


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. Average over lon lat T | lon lat lon T lat T | lon lat T |
RMS (root mean square with mean *not* removed) over lon lat T | lon lat lon T lat T | lon lat T |
RMSA (root mean square with mean removed) over lon lat T | lon lat lon T lat T | lon lat T |
Maximum over lon lat T | lon lat lon T lat T | lon lat T |
Minimum over lon lat T | lon lat lon T lat T | lon lat T |
Detrend (best-fit-line) over lon lat T | lon lat lon T lat T | lon lat T |
Convert units from degree_Celsius to

Note on units