served from IRI/LDEO Climate Data Library
∫dX [ CDIAC ndp043a SLYR ]: years of record used in sea level trend data
SLYR years of record used in sea level trend from CDIAC ndp043a: Coastal hazards data base for United States East Coast.Independent Variables (Grids)
- D
- grid: /D (character) unordered [ (SLYR)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (85W) to (65W) by 0.25 N= 81 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (24.125N) to (45.875N) by 0.25 N= 88 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- degree_east
- standard units*
- 0.0174532925199433 radian east
Last updated: Fri, 18 Sep 2015 18:39:06 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| D | X | Y | |
 SOURCES | |||
 $integral dX$ [ CDIAC ndp043a SLYR ] SLYR[ D | X Y] | M | 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