served from IRI/LDEO Climate Data Library
JONES landonly count: station count per lat/lon box data
station count per lat/lon box from JONES landonly: Land air temperature anomaly grids.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (Jan 1851) to (Dec 1993) by 1.0 N= 1716 pts :grid
- longitude
- grid: /X (degree_east) periodic (2.5E) to (2.5W) by 5.0 N= 72 pts :grid
- latitude
- grid: /Y (degree_north) ordered (87.5S) to (87.5N) by 5.0 N= 36 pts :grid
Other Info
- add_offset
- 128.0
- datatype
- stringtype
- missing_value
- -128
- units
- dimensionless
References
Jones, P. D., S. C. B. Raper, R. S. Bradley, H. F. Diaz, P. M. Kelly, and T. M. L. Wigley, 1986a: Northern Hemisphere surface air temperature variations, 1851--1984. J. Clim. Appl. Met., 25, 161--179.Jones, P. D., S. C. B. Raper, R. S. Bradley, H. F. Diaz, P. M. Kelly, and T. M. L. Wigley, 1986b: Southern Hemisphere surface air temperature variations, 1851--1984. J. Clim. Appl. Met., 25, 1213--1230.
Last updated: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 JONES landonly count[ 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