served from IRI/LDEO Climate Data Library
Ethiopia NMA ENACTS_v4 CIPH CSMT falciparum TempCondProb: Percent Occurrence of Temperature Condition in Historical Record data
Percent Occurrence of Temperature Condition in Historical Record from Ethiopia NMA ENACTS_v4 CIPH CSMT falciparum: 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 (33.01875E) to (47.98125E) by 0.03750001 N= 400 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.01875N) to (14.98125N) by 0.0375 N= 320 pts :grid
Other Info
- CE
- 100.0
- CI
- 25.0
- colorscalename
- temp_colors
- CS
- 0.0
- datatype
- realarraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 100.0
- scale_min
- 0.0
- units
- unitless
- history
- [ Ethiopia NMA ENACTS_v4 temperature MRG monthly ( tmin + tmax ) ] / 2. climatology
- Boxes with less than 0.0% dropped
Averaged over T2[1983, 2014] minimum 0.0% data present
Ethiopia NMA ENACTS_v4 CIPH CSMT falciparum TempCondProb- Averaged over T2=1960 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, 10 Feb 2021 16:39:23 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 Ethiopia NMA ENACTS_v4 CIPH CSMT falciparum TempCondProb[ 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