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Rainfall data Similarity Assessment of the Coordinated Regional Downscaling Experiments South East Asia Models to Observation in the Bintan Island
Present planning for sustainable water resources management should consider climate variability changes to minimize the risks of future water-related problems and hazards. Nowadays, CORDEX SEA provides the historical and future projections climatic data derived from downscaled several global climate...
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Published in: | IOP conference series. Earth and environmental science 2021-06, Vol.789 (1), p.12051 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Present planning for sustainable water resources management should consider climate variability changes to minimize the risks of future water-related problems and hazards. Nowadays, CORDEX SEA provides the historical and future projections climatic data derived from downscaled several global climate models for Southeast Asian countries. The study intended to select the most appropriate CORDEX SEA model in projecting future rainfall over Bintan Island. The assessment of the trend and variable variation of the CORDEX-SEA models (CNRM, CSIRO, EC-EARTH, MPI, and its ENSEMBLE) to observation was carried out using statistical tests before similarity ranking. The trend similarity was confirmed using the Mann Kendall and Sen’s slope tests methods, while variable variations similarity was confirmed with the Spearman Correlation test and classed by Percent Bias (PBias). The similarities of models to observation were ranked after the least deviation of the statistical parameters. The assessment designates the MPI is the most appropriate among CORDEX-SEA models for Bintan Island. Monthly and annual rainfall trend and variability of the CORDEX SEA models in the historical, actual and foreseen future periods over Bintan Island were compared. |
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ISSN: | 1755-1307 1755-1315 |
DOI: | 10.1088/1755-1315/789/1/012051 |