served from 181.199.253.14
root mean sq detrended-bfl [ Hydromet CIPH CSMT TempCondProb ] : Percent Occurrence of Temperature Condition in Historical Record data
TempCondProb TempCondProb TempCondProb adif adif 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 31 Jan 1960 - 1200 1 Mar 1960) (1200 1 Mar 1960 - 1800 31 Mar 1960) (1800 31 Mar 1960 - 0600 1 May 1960) (0600 1 May 1960 - 1800 31 May 1960) (1800 31 May 1960 - 0600 1 Jul 1960) (0600 1 Jul 1960 - 2400 31 Jul 1960) (0000 1 Aug 1960 - 1800 31 Aug 1960) (1800 31 Aug 1960 - 0600 1 Oct 1960) (0600 1 Oct 1960 - 1800 31 Oct 1960) (1800 31 Oct 1960 - 0600 1 Dec 1960)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (0.975N) to (8.525N) by 0.05 N= 152 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CI
- 25.0
- colorscalename
- windspeed_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- fnname
- flagge
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
- history
- detrended-bfl [ Hydromet CIPH CSMT TempCondProb ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] minimum 0.0% data present
root mean sq detrended-bfl [ Hydromet CIPH CSMT TempCondProb ]- Averaged over X[61.55W, 56.45W] 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
line plots
color bars
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units