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DTIC ADA586506: Quantitative Precipitation Nowcasting: A Lagrangian... |
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by Defense Technical Information Center |
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Short-term high-resolution precipitation forecasting has |
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important implications for navigation, flood forecasting, |
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and other hydrological and meteorological concerns. This |
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article introduces a pixel-based algorithm for Short-term |
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Quantitative Precipitation Forecasting (SQPF) using radar- |
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based rainfall data. The proposed algorithm called Pixel- |
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Based Nowcasting (PBN) tracks severe storms with a |
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hierarchical mesh-tracking algorithm to capture storm |
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advection in space and time at high resolution from radar |
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imagers. The extracted advection field is then extended |
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to nowcast the rainfall field in the next 3 hr based on a |
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pixel-based Lagrangian dynamic model. The proposed |
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algorithm is compared with two other nowcasting |
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algorithms (WCN: Watershed-Clustering Nowcasting and PER: |
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PERsistency) for ten thunderstorm events over the |
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conterminous United States. Object-based verification |
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metric and traditional statistics have been used to |
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evaluate the performance of the proposed algorithm. It is |
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shown that the proposed algorithm is superior over |
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comparison algorithms and is effective in tracking and |
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predicting severe storm events for the next few hours. |
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Date Published: 2018-09-15 14:54:07 |
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Identifier: DTIC_ADA586506 |
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Item Size: 25296837 |
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Language: english |
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Media Type: texts |
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# Topics |
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DTIC Archive; ; CALIFORNIA UNIV IRVIN... |
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