served from IRI/LDEO Climate Data Library
∫dY Y: ∫dY Y data
∫dY Y.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (88.75N) to (88.75S) by 2.5 N= 72 pts :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- gridid
- 189832816
- scale_max
- null
- scale_min
- null
- standard_name
- latitude
- units
- 0.000304617419786709 radian2 north
Last updated: Thu, 31 Mar 2022 13:11:17 GMT
Data Views
Views
line plots
color bars
scatter| T | X | Y | |
 NOAA NCEP-NCAR CDAS-1 DAILY Intrinsic total_air_column PWAT[ X Y | T] | M | M | O=1.25 |
|---|---|---|---|
| grid: /Y (degree_north) ordered (87.5N) to (87.5S) by 2.5 N= 71 pts :grid | O=1.25 | ||
| grid: /T (days since 1948-01-01 12:00:00) ordered (1200 1 Jan 1948 - 1200 2 Jan 1948) to (1200 11 Apr 2024 - 1200 12 Apr 2024) by 1.0 N= 27861 pts :grid | M | ||
| grid: /Y (degree_north) ordered (87.5N) to (87.5S) by 2.5 N= 71 pts :grid | O=1.25 | ||
| grid: /T (days since 1948-01-01 12:00:00) ordered (1200 1 Jan 1948 - 1200 2 Jan 1948) to (1200 11 Apr 2024 - 1200 12 Apr 2024) by 1.0 N= 27861 pts :grid | M | ||
 $integral dY$ Y[ Y |] | 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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units