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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.19534 |
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| _version_ | 1866917967895199744 |
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| author | Cunen, Céline Roksvåg, Thea Heinrich-Mertsching, Claudio Lenkoski, Alex |
| author_facet | Cunen, Céline Roksvåg, Thea Heinrich-Mertsching, Claudio Lenkoski, Alex |
| contents | Combining forecasts from multiple numerical weather prediction (NWP) models have shown substantial benefit over the use of individual forecast products. Although combination, in a broad sense, is widely used in meteorological forecasting, systematic studies of combination methodology in meteorology are scarce. In this article, we study several combination methods, both state-of-the-art and of our own making, with a particular emphasis on situations where one seeks to predict when a particular event of interest will occur. Such time-to-event forecasts require particular methodology and care. We conduct a careful comparison of the different combination methods through an extensive simulation study, where we investigate the conditions under which the combined forecast will outperform the individual forecasting products. Further, we investigate the performance of the methods in a case-study modelling the time to first hard freeze in Norway and parts of Fennoscandia. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19534 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Combining predictive distributions for time-to-event outcomes in meteorology Cunen, Céline Roksvåg, Thea Heinrich-Mertsching, Claudio Lenkoski, Alex Applications Combining forecasts from multiple numerical weather prediction (NWP) models have shown substantial benefit over the use of individual forecast products. Although combination, in a broad sense, is widely used in meteorological forecasting, systematic studies of combination methodology in meteorology are scarce. In this article, we study several combination methods, both state-of-the-art and of our own making, with a particular emphasis on situations where one seeks to predict when a particular event of interest will occur. Such time-to-event forecasts require particular methodology and care. We conduct a careful comparison of the different combination methods through an extensive simulation study, where we investigate the conditions under which the combined forecast will outperform the individual forecasting products. Further, we investigate the performance of the methods in a case-study modelling the time to first hard freeze in Norway and parts of Fennoscandia. |
| title | Combining predictive distributions for time-to-event outcomes in meteorology |
| topic | Applications |
| url | https://arxiv.org/abs/2503.19534 |