served from IRI/LDEO Climate Data Library
BerkeleyEarth global gridded daily land deg1p0 mean tavg_anomaly: Average Surface Air Temperature Anomaly data
global gridded daily land deg1p0 mean Average Surface Air Temperature Anomaly from BerkeleyEarth: Berkeley Earth.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered (1 Jan 1880) to (31 May 2018) by 1.0 N= 50555 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid
Other Info
- datatype
- realarraytype
- missing_value
- NaN
- pointwidth
- 0
- standard_name
- air_temperature_anomaly
- units
- degree_Celsius
- valid_max
- 32.309147
- valid_min
- -32.576313
- standard units*
- degree_Kelvin
Last updated: Tue, 14 Jan 2020 00:19:57 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 BerkeleyEarth global gridded daily land deg1p0 mean tavg_anomaly[ X Y | T] | 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 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