served from IRI/LDEO Climate Data Library
CLIMAP MOD soil: soil type data
soil type from CLIMAP MOD: Modern soil and vegetation characteristics from the World Data Center for Paleoclimatology.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (179W) to (179E) by 2.0 N= 180 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (55S) to (83N) by 2.0 N= 70 pts :grid
Other Info
| Key | |
|---|---|
| 11.0 | black (peat,chernozem,basalt) |
| 12.0 | dark grey (diorite,gabbro) |
| 13.0 | brown (gley,granite) |
| 14.0 | |
| 15.0 | |
| 16.0 | |
| 17.0 | |
| 18.0 | |
| 19.0 | dark unclassified |
| 20.0 | |
| 21.0 | dusky brown, gray-red (laterites) |
| 22.0 | ochre,olive brown (greywacke) |
| 23.0 | dusky yellow (sandy podzol) |
| 24.0 | |
| 25.0 | |
| 26.0 | |
| 27.0 | |
| 28.0 | |
| 29.0 | med. dark unclassified |
| 30.0 | |
| 31.0 | yellow-brown (loam) |
| 32.0 | yellow (loess-loam) |
| 33.0 | yellow-gray (rhyolites,kaolinitic shales) |
| 34.0 | |
| 35.0 | |
| 36.0 | |
| 37.0 | |
| 38.0 | |
| 39.0 | med. light unclassified |
| 40.0 | |
| 41.0 | grayish white (loess) |
| 42.0 | pale white (limestone, kaolinitic sands) |
| 43.0 | white (quartz sands) |
| 44.0 | |
| 45.0 | |
| 46.0 | |
| 47.0 | |
| 48.0 | |
| 49.0 | light unclassified |
| 50.0 | |
| 51.0 | gypsum and carbonate sands |
| 52.0 | salt flats |
| 53.0 | gypsum sands |
| 54.0 | |
| 55.0 | |
| 56.0 | |
| 57.0 | |
| 58.0 | |
| 59.0 | bright white unclassified |
- missing_value
- 0
- scale_max
- 59.0
- scale_min
- 11.0
- units
- ids
- colorscale
References
CLIMAP Project Members, 1984. The last interglacial ocean. Quat. Res. 21: 123-224.
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| X | Y | |
 CLIMAP MOD soil[ 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
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