served from 129.236.110.25
∫dT [ detrended-bfl ( UEA CRU TS4p07 monthly stn cld ) anomalies ]
∫dT [ detrended-bfl ( UEA CRU TS4p07 monthly stn cld ) anomalies ]: number of stations contributing to each datum.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (2357 6 Mar 1900) (2357 5 May 1900) (2357 6 Jul 1900) ... (0002 17 Nov 2023)] N= 885 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.75S) to (89.75N) by 0.5 N= 360 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999
- missing_value
- NaN
- units
- 86400 count second
- history
- detrended-bfl [ UEA CRU TS4p07 monthly stn cld ]
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- detrended-bfl [ UEA CRU TS4p07 monthly stn cld ] climatology
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[1901, 2022] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- detrended-bfl [ UEA CRU TS4p07 monthly stn cld ]
References
Harris_etal2013Last updated: Thu, 18 Jan 2024 14:09:16 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 UEA CRU TS4p07 monthly[tmn
pre
wet
cld
dtr
vap
tmp
pet
tmx
frs
stn
] | |||
 $integral dT$ [ detrended-bfl ( UEA CRU TS4p07 monthly stn cld ) anomalies ][ X Y | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units