served from 129.236.110.25
∫dT [ 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)
- Time
- grid: /T (days since 1985-01-01 00:00) ordered (0000 1 Jan 1985) to (0000 1 Jan 2016) by 1.0 N= 11323 pts :grid
- 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
- 86400 ( degree_Kelvin above 273.15 ) second
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| T | X | Y | |
 CMC CC-ECU Tmed Grid[ECU_10k
ECU_30k
ECU_20k
] | |||
| CMC CC-ECU Tmed Grid ECU_30k[ X Y | T] | O=-0.5 | M | M |
|---|---|---|---|
 $integral dT$ [ CMC CC-ECU Tmed Grid ECU_30k ][ X Y | T] | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units