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Decision tree-based reduction of bias in monthly IMERG satellite precipitation dataset over India
2020
H2Open Journal
Decision trees are ideally suited for handling huge datasets and modelling non-linear relationships between different variables. Given the relationship between precipitation and bias may be very complex and non-linear, bias-correction of satellite precipitation is a challenge. We examine the applicability of Classification and Regression tree (CART) for bias-correction of the Integrated Multi-satellite Retrievals for Global Precipitation Mission (IMERG) precipitation dataset over India. The
doi:10.2166/h2oj.2020.124
fatcat:glonnd7dpzhoxpqymsba4nxgbm