served from IRI/LDEO Climate Data Library
Indices daily SACZ sacz: Oceanic - SACZ index data
Oceanic - SACZ index from Indices daily SACZ: Oceanic - SACZ.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1 Jan 1979) to (31 Dec 2013) by 1.0 N= 12784 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 250
- colorscalename
- temp_anomaly_colors
- CS
- -250
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- -99.989998
- scale_max
- 250.0
- scale_min
- -250.0
- title
- Oceanic - SACZ index
- units
- unitless
- colorscale
References
Silva, A. E., and L. M. V. Carvalho, 2007: Large-scale index for South America Monsoon (LISAM). Atmospheric Science Letters, 8, 51-57, DOI:10.1002/asl.150; Carvalho, L. M. V., A. E. Silva, C. Jones, B. Liebmann, P. L. Silva Dias, H. R. Rocha, 2011: Moisture transport and Intraseasonal Variability in the South America Monsoon System. Climate Dynamics , DOI 10.1007/s00382-010-0806-2Last updated: Mon, 23 Jan 2023 19:07:37 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 SOURCES | |
| Indices[Darwin
soi
india
Tahiti
Easter
HANSEN
nino
standardized
PDO
QBO
CPC_Indices
daily
monthly
nao
] | |
| Indices india[rainfall
] | |
 Indices daily SACZ sacz[ T |] | 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
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units