served from 129.236.110.25
UEA CRU TS4p07 monthly pet: potential evapotranspiration data
UEA CRU TS4p07 monthly pet.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1901) to (Dec 2022) by 1.0 N= 1464 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
- correlation_decay_distance
- -999.0
- datatype
- realarraytype
- missing_value
- 9.96920997E36
- standard_name
- water_potential_evaporation_flux
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
References
Harris_etal2013Last updated: Thu, 18 Jan 2024 13:18:45 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[pre
tmp
stn
wet
cld
dtr
vap
pet
tmx
frs
tmn
] | |||
 UEA CRU TS4p07 monthly pet[ 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