Enhancement of satellite precipitation estimations with bias correction and data-merging schemes for flood forecasting
This study investigates the capability of both quantile mapping (QM) bias correction and kriging merging techniques to improve precipitation accuracy of Tropical Rainfall Measuring Mission (TRMM) and Integrated Multisatellite Retrievals for the Global Precipitation Measurement (IMERG) satellite esti...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
American Society of Civil Engineers
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41530/ |
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