served from IRI/LDEO Climate Data Library
UEA CRU New CRU05 percentiles c6190 monthly temp: temperature data
CRU05 percentiles c6190 monthly temperature from UEA CRU New: Mean surface climate data over global land areas, including tercile and percentile data.Independent Variables (Grids)
- percentile
- grid: /percentile (unitless) ordered [ (0.0) (0.1) (0.2) (0.33) (0.5) (0.67) (0.8) (0.9) (1.0)] :grid
- Time (time)
- grid: /T (months since 01-Jan) periodic (Jan) to (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
- datatype
- realarraytype
- file_missing_value
- -999.90002
- missing_value
- NaN
- units
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- history
- percentiles computed over T2:1961-1990 50% min data present
References
Mark New, Mike Hulme, and Phil Jones, Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology,Journal of Climate: Vol. 12, No. 3, pp. 829–856.
Last updated: Mon, 12 Sep 2016 21:33:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| percentile | T | X | Y | |
 UEA CRU New CRU05 percentiles c6190 monthly temp[ percentile X Y | T] | M | M | M | M |
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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 percentile X Y T
- Differentiate along percentile X Y T
- Take differences along percentile X Y T
RMS (root mean square with mean *not* removed) over percentile X Y T | percentile X percentile Y percentile T X Y X T Y T | percentile X Y percentile X T percentile Y T X Y T | percentile X Y T |
RMSA (root mean square with mean removed) over percentile X Y T | percentile X percentile Y percentile T X Y X T Y T | percentile X Y percentile X T percentile Y T X Y T | percentile X Y T |
Maximum over percentile X Y T | percentile X percentile Y percentile T X Y X T Y T | percentile X Y percentile X T percentile Y T X Y T | percentile X Y T |
Minimum over percentile X Y T | percentile X percentile Y percentile T X Y X T Y T | percentile X Y percentile X T percentile Y T X Y T | percentile X Y T |
Detrend (best-fit-line) over percentile X Y T | percentile X percentile Y percentile T X Y X T Y T | percentile X Y percentile X T percentile Y T X Y T | percentile X Y T |
Note on units