served from maproom.nimet.gov.ng
∂T ∫dY [ NiMet CIPH CSMT TempCondProb ] : ∂T Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb TempCondProb int_dY ∂T Percent Occurrence of Temperature Condition in Historical Record from NiMet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1200 17 Jan - 2400 16 Feb) (0000 16 Feb - 1200 16 Mar) (1200 16 Mar - 2400 15 Apr) (0000 16 Apr - 1200 16 May) (1200 16 May - 2400 15 Jun) (0000 16 Jun - 1200 16 Jul) (1200 16 Jul - 1200 16 Aug) (1200 16 Aug - 2400 15 Sep) (0000 16 Sep - 1200 16 Oct) (1200 16 Oct - 2400 15 Nov) (0000 16 Nov - 1200 16 Dec)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.95625N) to (14.11875N) by 0.0375 N= 272 pts :grid
Other Info
- CE
- 100.0
- CI
- 25.0
- Conventions
- COARDS
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 2.02005700462307×10-07 radian north second-1
- history
- $partialdiff sub T$ $integral dY$ [ NiMet CIPH CSMT TempCondProb ]
- Boxes with less than 100.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
- Boxes with less than 100.0% dropped
- colorscale
References
Grover-Kopec_etal2006Last updated: Mon, 17 Feb 2025 14:29:37 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $integral dY$ [ NiMet CIPH CSMT TempCondProb ] [ 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