served from 181.199.253.14
∂X [ Hydromet CIPH CSMT PcpnCondProb ]: ∂X Percent Occurrence of Precipitation Condition in Historical Record data
PcpnCondProb ∂X Percent Occurrence of Precipitation Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Month
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (61.5W) to (56.5W) by 0.05 N= 101 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 pts :grid
Other Info
- CE
- 100.0
- CI
- 25.0
- CS
- 0.0
- datatype
- realarraytype
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 radian-1 east
- history
- $partialdiff sub X$ [ Hydromet CIPH CSMT PcpnCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- colorscale
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: Wed, 09 Jul 2025 13:02:39 GMT
Expires: Fri, 11 Jul 2025 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 | |
 Hydromet CIPH CSMT[RHCondProb
PcpnCondProb
Annual_Sum
TempCondProb
AllCondProb
] | |||
| grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid | D | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 pts :grid | M | ||
| grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid | M | ||
| Hydromet CIPH CSMT PcpnCondProb[ X Y T |] | M | D | M |
 $partialdiff sub X$ [ Hydromet 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