the SPI was used to identify droughts during the period under consideration using annual rainfall data.
Exposure to drought was modelled using annual rainfall data during Australia's 'Big Dry'.
The equation was derived by adding the score values of lithology, lineament density, drainage density, topographic elevation, slope gradient, land-use, annual rainfall, and groundwater flow pattern.
A case study is carried out using annual maximum rainfall series (AMS) from a network of 10 rain gauges in Quebec Canadaa).
Using mean annual rainfall from these stations, the amount of rainfall between the stations was interpolated using GIS.
Using mean annual rainfall to rank suitable-forest patches identified in the GIS model indicated dry dipterocarp forests in Northeastern Cambodia and Northern Myanmar have the highest potential to conserve eld's deer.
Climate classification systems such as the Köppen climate classification system use average annual rainfall to help differentiate between differing climate regimes.
Elevation was extracted from a 50-m resolution digital elevation model (DEM-DTSI 2012) and rainfall from an interpolation model with a resolution of 1 km using mean annual rainfall compiled from 1990 to 2010 (AURELHY model, METEO-FRANCE).
Using the annual rainfall data, Hutchinson Drought Indices were calculated for the 7-year period from 2001 02 (when the 'Big Dry' began) to 2007 08 (when participants were interviewed for the HILDA Survey, Wave 7, coinciding with the end of the drought) [ 51, 52].
However, the choice of a best suitable distribution is still a major challenge in hydrologic practice, since there is no general agreement as to which distribution should be used for the annual rainfall series.
