served from IRI/LDEO Climate Data Library
∂X ∫dT [ LDEO Takahashi dp90 sea-air pCO2 ] : ∂X pCO2 data
dp90 sea-air pCO2 int_dT ∂X pCO2 from LDEO Takahashi: Sea-air pCO2 differences and carbon flux data over the global oceans from Lamont-Doherty Earth Observatory.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1990) to (0000 1 Jan 1991) by 1.0 N= 13 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0) to (5W) by 5.0 N= 72 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88S) to (88N) by 4.0 N= 45 pts :grid
Other Info
- CE
- 150
- colorscalename
- correlationcolorscale
- CS
- -150
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.483791238263589 kilogram meter-1 radian-1 east second-2 year
- colorscale
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 | |
 $partialdiff sub X$ $integral dT$ [ LDEO Takahashi dp90 sea-air pCO2 ] [ 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