served from 181.199.253.14
∂Y detrended-bfl detrended-bfl [ Hydromet CIPH CSMT TempCondProb ] : ∂Y Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb adif adif partial_Y ∂Y Percent Occurrence of Temperature 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 (1N) to (8.5N) by 0.05 N= 151 pts :grid
Other Info
- CE
- null
- CI
- 25.0
- colorscalename
- windspeed_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 radian-1 north
- history
- $partialdiff sub Y$ detrended-bfl detrended-bfl [ 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
References
page 0: illegal page type or format PANIC: Invalid argument PANIC: fatal region error detected; run recovery PANIC: fatal region error detected; run recovery Grover-Kopec_etal2006Last 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| T | X | Y | |
 $partialdiff sub Y$ detrended-bfl detrended-bfl [ Hydromet 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