served from 181.199.253.14
∫dT ∫dY ∫dT [ Hydromet CIPH CSMT TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb TempCondProb TempCondProb int_dT int_dY Percent Occurrence of Temperature Condition in Historical Record from Hydromet CIPH CSMT: Climatic Suitability for a Malaria Transmission.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1200 16 Dec 1959) (1200 16 Jan 1960) (1200 15 Feb 1960) (1200 16 Mar 1960) (0000 16 Apr 1960) (1200 16 May 1960) (0000 16 Jun 1960) (1200 16 Jul 1960) (1200 16 Aug 1960) (0000 16 Sep 1960) (1200 16 Oct 1960) (0000 16 Nov 1960) (1200 16 Dec 1960) (1200 16 Jan 1961)] :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 (0.95N) to (8.549999N) by 0.05 N= 153 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 100.0
- CI
- 25.0
- colorscalename
- windspeed_colors
- CS
- 0.0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 130288130.529676 radian north second2
- history
- $integral dT$ $integral dY$ $integral dT$ [ Hydromet CIPH CSMT TempCondProb ]
- 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: Fri, 26 Jan 2024 17:34:42 GMT
Expires: Thu, 01 Feb 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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