served from 129.236.110.25
root mean sq [ CMC CC-ECU Tmed Grid ECU_30k ]: CMC CC-ECU Tmed Grid ECU_30k data
ECU_30k CMC CC-ECU Tmed Grid ECU_30k from CMC CC-ECU Tmed Grid: Ecuador (Stations + CHIRTS First Guess), 1985-2015 daily, rscan= 0.1, 0.01, 0.001 .Independent Variables (Grids)
- Longitude
- grid: /X (degree_east) ordered (93W) to (75.10145W) by 0.2753623 N= 66 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (5.142857S) to (2N) by 0.2857143 N= 26 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- units
- Celsius
- standard units*
- degree_Kelvin above 273.15
- history
- Averaged over T[1200 31 Dec 1984 - 1200 1 Jan 1985, 2400 31 Dec 2015] minimum 0.0% data present
Last updated: Thu, 03 Nov 2022 11:43:51 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| T | X | Y | |
 CMC CC-ECU Tmed Grid[ECU_10k
ECU_30k
ECU_20k
] | |||
| CMC CC-ECU Tmed Grid ECU_30k[ X Y | T] | M | M | M |
|---|---|---|---|
 root mean sq [ CMC CC-ECU Tmed Grid ECU_30k ][ 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