data: $integral dX$ detrended-bfl $partialdiff sub Y$ $partialdiff sub X$ $integral dY$ [ NOAA NGDC GLOBE topo ]

served from IRI/LDEO Climate Data Library

∫dX detrended-bfl ∂_Y ∂_X ∫dY [ NOAA NGDC GLOBE topo ] : ∂_Y ∂_X elevation data

topo topo topo int_dY partial_X partial_Y adif ∂_Y ∂_X elevation from NOAA NGDC GLOBE: Gridded 1-km, quality controlled global Digital Elevation Model (DEM) data from the Global Land One-km Base Elevation (GLOBE) Project.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (179.9958E) to (179.9958E) by 0.008333334 N= 43201 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.9875N) to (89.9875S) by 0.008333334 N= 21598 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
maxncolor: 254
missing_value: NaN
units: m
standard units*: meter

References

Hastings_Dunbar1999

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	X	Y
$integral dX$ detrended-bfl $partialdiff sub Y$ $partialdiff sub X$ $integral dY$ [ NOAA NGDC GLOBE topo ] [ X \| Y]	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

Average over X Y | 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