served from IRI/LDEO Climate Data Library
∫dY [ LDEO TRL MADA pdsi ]
pdsi int_dY int_dY from LDEO TRL MADA: Reconstruction of Palmer Drought Severity Index for Monsoon Asia based on tree ring data.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (1300) to (2005) by 12.0 N= 706 pts :grid
- Longitude
- grid: /X (degree_east) ordered (61.25E) to (143.75E) by 2.5 N= 34 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (8.75S) to (56.25N) by 2.5 N= 27 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -99.999001
- iridl:hasSemantics
- iridl:PalmerDroughtSeverityIndex
- missing_value
- NaN
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
References
Cook, E.R., K.J. Anchukaitis, B.M. Buckley, R.D. D'Arrigo, G.C. Jacoby, W.E. Wright, Asian monsoon failure and megadrought during the last millennium, Science, 328(5977), doi:10.1126/science.1185188, 2010
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 | |
 $integral dY$ [ LDEO TRL MADA pdsi ][ T Y | X] | 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 T Y X
- Differentiate along T Y X
- Take differences along T Y X
RMS (root mean square with mean *not* removed) over T Y X | T Y T X Y X | T Y X |
RMSA (root mean square with mean removed) over T Y X | T Y T X Y X | T Y X |
Maximum over T Y X | T Y T X Y X | T Y X |
Minimum over T Y X | T Y T X Y X | T Y X |
Detrend (best-fit-line) over T Y X | T Y T X Y X | T Y X |
Note on units