served from maproom.nimet.gov.ng
∂T ∂Y ∂X detrended-bfl [ NiMet CIPH CSMT PcpnCondProb ] : ∂T ∂Y ∂X Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb adif partial_X partial_Y partial_Y ∂T ∂Y ∂X Percent Occurrence of Precipitation 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 16 Jan 1960 - 1200 15 Feb 1960) (1200 15 Feb 1960 - 1200 16 Mar 1960) (1200 16 Mar 1960 - 2400 15 Apr 1960) (0000 16 Apr 1960 - 1200 16 May 1960) (1200 16 May 1960 - 2400 15 Jun 1960) (0000 16 Jun 1960 - 1200 16 Jul 1960) (1200 16 Jul 1960 - 1200 16 Aug 1960) (1200 16 Aug 1960 - 2400 15 Sep 1960) (0000 16 Sep 1960 - 1200 16 Oct 1960) (1200 16 Oct 1960 - 2400 15 Nov 1960) (0000 16 Nov 1960 - 1200 16 Dec 1960)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.41875E) to (14.90625E) by 0.03750001 N= 334 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.99375N) to (14.08125N) by 0.0375 N= 270 pts :grid
Other Info
- CE
- null
- CI
- 25.0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0379954438658766 radian-2 east second-1
- history
- $partialdiff sub T$ $partialdiff sub Y$ $partialdiff sub X$ detrended-bfl [ NiMet CIPH CSMT PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
- Boxes with less than 0.0% dropped
References
Grover-Kopec, E. K., M. B. Blumenthal, P. N. Ceccato, T. Dinku, J. Omumbo, S. J. Connor, 2006: Web-based climate information resources for malaria control in Africa. Malaria Journal, 5:38.
Last updated: Fri, 14 Feb 2025 14:55:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $partialdiff sub Y$ $partialdiff sub X$ detrended-bfl [ NiMet CIPH CSMT PcpnCondProb ] [ 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