Assessing rainfall radar errors with an inverse stochastic modelling framework
<p>Weather radar is a crucial tool for rainfall observation and forecasting, providing high-resolution estimates in both space and time. Despite this, radar rainfall estimates are subject to many error sources – including attenuation, ground clutter, beam blockage and drop-size distribution – with t...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Copernicus Publications
2024-10-01
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| シリーズ: | Hydrology and Earth System Sciences |
| オンライン･アクセス: | https://hess.copernicus.org/articles/28/4539/2024/hess-28-4539-2024.pdf |
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