served from maproom.metmalawi.gov.mw
detrended-bfl detrended-bfl ∂Y [ Malawi dekadal temperature tmin ] anomalies: ∂Y Minimum Temperature data
detrended-bfl detrended-bfl ∂Y [ Malawi dekadal temperature tmin ] anomalies.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (0800-1600 2 Feb 1961) (0800-1600 1 Apr 1961) (0800-1559 10 Nov 1962) ... (0800-1601 16 Nov 2021)] N= 205 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.625E) to (36E) by 0.0375 N= 91 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.23125S) to (9.39375S) by 0.03750001 N= 210 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- missing_value
- NaN
- units
- 57.2957795130823 degree_Kelvin radian-1 north
- history
- Averaged over T2[1961, 2357 30 Dec 2019 - 2357 30 Dec 2020] minimum 0.0% data present
Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Sat, 11 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 detrended-bfl detrended-bfl $partialdiff sub Y$ [ Malawi dekadal temperature tmin ] anomalies[ X Y | T] | M | M | M |
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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