province	T
ENACTS version0 WASP queriesENACTS[caENACTS-last_WASP12 cabaseline_full dabaseline_full pabaseline_full provincequery districtquery daENACTS-last_WASP12 countryquery paENACTS-last_WASP12 ]
grid: /province (ids) unordered [ (Abim) (Addis Ababa) (Adjumani) ... (Zombo)] N= 238 pts :grid	M
grid: /T (months since 1960-01-01) ordered (0000 1 Jul 1981) to (0000 1 Jul 2010) by 1.0 N= 349 pts :grid		M
ENACTS version0 WASP queriesENACTS paENACTS-last_WASP12[ | province T]	M	M
ENACTS version0 WASP queriesENACTS provincequery[exp1_year status disp_area adm0_code the_geom gid adm1_code coarse_geom adm1_name adm0_name shape_leng shape_area str1_year ]
ENACTS version0 WASP queriesENACTS provincequery shape_area[ | province]	M

SOURCES .ENACTS .version0 .WASP .queriesENACTS paENACTS-last_WASP12 ngridtable 3 index .provincequery shape_area

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 province
• Differentiate along province
• Take differences along province

Average over province |
RMS (root mean square with mean *not* removed) over province |
RMSA (root mean square with mean removed) over province |
Maximum over province |
Minimum over province |
Detrend (best-fit-line) over province |

Convert units from unitless to

Note on units