Show simple item record

dc.contributor.authorHossain, Md Monowar
dc.contributor.supervisorFaisal Anwaren_US

This study assesses the monthly precipitation of CMIP5 decadal experiment over Brisbane River catchment for a spatial resolution of 0.050 and then predicts the monthly precipitation for decadal timescale through a Bidirectional LSTM and Machine Learning Algorithms using GCMs and observed data. To use GCM data in this future prediction, investigations were carried out for a suitable spatial interpolation method, a better simulation period, model drifts, and drift correction alternatives based on different skill tests.

dc.publisherCurtin Universityen_US
dc.titleCMIP5 Decadal Precipitation at Catchment Level and Its Implication to Future Predictionen_US
curtin.departmentSchool of Civil and Mechanical Engineeringen_US
curtin.accessStatusFulltext not availableen_US
curtin.facultyScience and Engineeringen_US
curtin.contributor.orcidHossain, Md Monowar [0000-0002-1814-2299]en_US

Files in this item


This item appears in the following Collection(s)

Show simple item record