served from IRI/LDEO Climate Data Library
adataset POT: Potential Temperature Anomaly data
adataset POT.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1980) to (Mar 2024) by 1.0 N= 531 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered [ (150.5W)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (30.16698S) to (30.16591N) by 0.333331 N= 182 pts :grid
- Depth
- grid: /Z (m) ordered [ (5) (15) (25) (35) (45) (55) (65) (75) (85) (95) (105) (115) (125) (135) (145) (155) (165) (175) (185) (195) (205) (215) (225) (238) (262) (303) (366) (459) (584) (747) (949) (1193) (1479) (1807) (2174) (2579) (3016) (3483) (3972) (4478)] :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- CE
- 5.0
- center
- US Weather Service - National Met. Center
- CI
- 0.5
- cNZ
- 0
- CS
- -5.0
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- grib_name
- POT
- gribcenter
- 7
- gribfield
- 1
- gribleveltype
- 160
- gribNumBits
- 16
- gribparam
- 13
- maxncolor
- 254
- missing_value
- NaN
- PDS_TimeRange
- 7
- pointwidth
- 1.0
- process
- 129
- PTVersion
- 2
- scale_max
- 5.0
- scale_min
- -5.0
- subcenter
- Environmental Modeling Center
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- Averaged over T2[1980, 2023] minimum 0.0% data present
- colorscale
Last updated: Mon, 15 Apr 2024 12:21:35 GMT
Data Views
Views
data as colors
data as contours| T | X | Y | Z | |
 adataset[POT
temp2
] | ||||
| adataset POT 150.5W[ X Y | Z T] | M | M | M | M |
|---|---|---|---|---|
| adataset temp2 150.5W[ X Y Z T |] | S | M | M | D |
 adataset POT 150.5W[ X Y | Z T] | M | 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 Y Z T
- Differentiate along Y Z T
- Take differences along Y Z T
RMS (root mean square with mean *not* removed) over Y Z T | Y Z Y T Z T | Y Z T |
RMSA (root mean square with mean removed) over Y Z T | Y Z Y T Z T | Y Z T |
Maximum over Y Z T | Y Z Y T Z T | Y Z T |
Minimum over Y Z T | Y Z Y T Z T | Y Z T |
Detrend (best-fit-line) over Y Z T | Y Z Y T Z T | Y Z T |
Note on units