data: $integral dT$ [ Rwanda Dekad climatologies rfe ] anomalies

∫dT [ Rwanda Dekad climatologies rfe ] anomalies: Rainfall Dekad Climatology 1981-2010 data

Rwanda Dekad climatologies rfe rfe rfe int_dT Rainfall Dekad Climatology 1981-2010 from SOURCES: the IRI/LDEO collection of climate data.

Independent Variables (Grids)

Time: grid: /T (days since 1981-01-01) (360) ordered [ (0000 1 Jan 1981)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (28.55625E) to (30.95625E) by 0.03750002 N= 65 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (2.94375S) to (1.06875S) by 0.03750001 N= 51 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

cmorph_dekad_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

86.4 meter second

history

$integral dT$ [ Rwanda Dekad climatologies rfe ]
Averaged over T2[0.5, 1080.5] minimum 0.0% data present

$integral dT$ [ Rwanda Dekad climatologies rfe ] climatology

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2=0000 26 Dec 1980 - 0000 26 Dec 1981 minimum 0.0% data present

Last updated: Wed, 26 Jun 2024 16:53:08 GMT

Data Views

	T	X	Y
doc[]
$integral dT$ [ Rwanda Dekad climatologies rfe ] anomalies 0000 1 Jan 1981[ 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
Differentiate along X Y
Take differences along X Y

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

Note on units