served from IRI/LDEO Climate Data Library
UEA CRU TS2p1 monthly elev: elevation data
monthly elevation from UEA CRU TS2p1: Mean surface climate data over global land areas, including tercile and percentile data.Independent Variables (Grids)
- 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
- missing_value
- -0.9990001
- units
- km
- standard units*
- 1000 meter
References
Mitchell, T. D., P. D. Jones. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. Int. J. Climatol. 25, 2005
Last updated: Mon, 12 Sep 2016 21:33:59 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 SOURCES | ||
| UEA[CRU
] | ||
| UEA CRU[New
TS3p22
TS4p05
Global
TS3p21
TS3p23
TS3p0
TS2p1
TS3p2
TS3p1
Hulme
TS4p01
Jones
] | ||
| UEA CRU New[CRU05
] | ||
| UEA CRU New CRU05[monthly
climatology
terciles
percentiles
] | ||
| UEA CRU New CRU05 monthly[cld
mean
wet
dtr
prcp
vap
] | ||
 UEA CRU TS2p1 monthly elev[ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units