served from 129.236.110.25
∂T [ UEA CRU TS4p07 monthly stn tmn ] anomalies: ∂T data
∂T [ UEA CRU TS4p07 monthly stn tmn ] ∂T: number of stations contributing to each datum.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (16 Jan 1901 - 15 Feb 1901) to (16 Nov 2022 - 15 Dec 2022) by 1.0 N= 1463 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
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999
- missing_value
- NaN
- units
- 12 count year-1
- history
- $partialdiff sub T$ [ UEA CRU TS4p07 monthly stn tmn ]
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- $partialdiff sub T$ [ UEA CRU TS4p07 monthly stn tmn ] climatology
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[16 Jan 1901 - 15 Jan 1902, 16 Jan 2021 - 15 Jan 2022] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- $partialdiff sub T$ [ UEA CRU TS4p07 monthly stn tmn ]
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[frs
tmp
wet
cld
vap
pre
tmn
stn
tmx
pet
dtr
] | |||
| UEA CRU TS4p07 monthly cld[ X Y | T] | O=0.5 | M | M |
|---|---|---|---|
 $partialdiff sub T$ [ UEA CRU TS4p07 monthly stn tmn ] 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