Quantifying monthly areal rainfall uncertainty using a data-based stochastic rainfall generator
This study aims to establish whether a data-based model of incorporating uncertainty in daily areal rainfall estimates can be adapted to a coarser monthly time scale and still provide reasonable uncertainty estimates for water resource modelling applications. The daily generator was formulated as...
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| Format: | Others |
| Language: | en |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10539/17552 |