served from IRI/LDEO Climate Data Library
detrended-bfl [ ∂X ∂X ( ECMWF GGA t2m ) anomalies ]: ∂X ∂X temperature at 2m data
GGA t2m partial_X partial_X partial_X ∂X ∂X temperature at 2m from ECMWF: European Center for Medium Range Weather Forecasts.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1985) to (Dec 1992) by 1.0 N= 96 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (2.5W) to (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
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- 3282.80635001174 degree_Kelvin radian-2 east
- history
- Averaged over T2[1985, 1992]
References
K. E. Trenberth. Global analyses from ECMWF and Atlas of 1000 to 10 mb Circulation Statistics, number NCAR/TN-373+STR, 1992
Last updated: Mon, 12 Sep 2016 21:39:38 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl [ $partialdiff sub X$ $partialdiff sub X$ ( ECMWF GGA t2m ) anomalies ][ Y X | T] | 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 Y X T
- Differentiate along Y X T
- Take differences along Y X T
RMS (root mean square with mean *not* removed) over Y X T | Y X Y T X T | Y X T |
RMSA (root mean square with mean removed) over Y X T | Y X Y T X T | Y X T |
Maximum over Y X T | Y X Y T X T | Y X T |
Minimum over Y X T | Y X Y T X T | Y X T |
Detrend (best-fit-line) over Y X T | Y X Y T X T | Y X T |
Note on units