Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities
Table 8
Classif. drought categories received weights (steady-state weights (SSWs)) in various months using SPI-1 for the year 2017 in particular stations. For example, for the Astore Station in January the SD receives SSW with a value of 0.0695. In Astore, during March the ND receives the SSW with a value of 0.6765. The ND weight is a higher weight among the selected drought categories. This indicates that ND is the prevalent drought category in the Astore Station. Moreover, the weights can be observed for selected drought classes in other stations.
