served from 129.236.110.25
∫dT [ UEA CRU TS4p07 monthly stn pre ] anomalies climatology
∫dT [ UEA CRU TS4p07 monthly stn pre ] anomalies climatology: number of stations contributing to each datum.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 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
- 0.0833333333333333 count year
- history
- $integral dT$ [ UEA CRU TS4p07 monthly stn pre ]
Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- $integral dT$ [ UEA CRU TS4p07 monthly stn pre ] climatology
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2021 - 15 Dec 2022] minimum 0.0% data present
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
- Averaged over T2[16 Dec 1900 - 15 Dec 1901, 16 Dec 2021 - 15 Dec 2022] minimum 0.0% data present
- $integral dT$ [ UEA CRU TS4p07 monthly stn pre ]
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[tmp
wet
cld
vap
pre
tmn
stn
tmx
pet
dtr
frs
] | |||
| UEA CRU TS4p07 monthly stn vap[ X Y | T] | O=0.5 | M | M |
|---|---|---|---|
 $integral dT$ [ UEA CRU TS4p07 monthly stn pre ] anomalies climatology[ 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