served from IRI/LDEO Climate Data Library
∂X ∂Y [ CDIAC ndp043a GM ] : ∂X ∂Y landform inundation-and-erosion susceptibility index data
GM partial_Y ∂X ∂Y landform inundation-and-erosion susceptibility index from CDIAC ndp043a: Coastal hazards data base for United States East Coast.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (84.75W) to (65.25W) by 0.25 N= 79 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (24.25N) to (45.75N) by 0.25 N= 87 pts :grid
Other Info
- file_missing_value
- 9999
- missing_value
- NaN
- units
- 3282.80635001174 radian-2 north
Last updated: Mon, 16 Feb 2015 21:51:21 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 | |||
 $partialdiff sub X$ $partialdiff sub Y$ [ CDIAC ndp043a GM ] GM[ D | X Y] | 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
- 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