Armin Mehrabian
First version of the trained classifier using v4 dataset and RoBERTa base model.
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| language: | |
| - en | |
| widget: | |
| - text: "We explores the impact of initial and boundary conditions on simulating an extra-tropical cyclones in the North Atlantic Ocean, employing the Weather Research and Forecasting (WRF) model. The study assesses cyclone trajectory and synoptic patterns against real-world observations, finding that the WRF model effectively replicates Gong's entire lifecycle, including its intensification phase. It was observed that both the genesis of the cyclone and its Q-Vector—a meteorological vector that indicates the potential for cyclogenesis—are significantly influenced by the initial conditions set in the model." | |
| example_title: "LABEL_15 (Severe Storms)" | |
| ## Label Mapping | |
| The model classifies inputs into the following categories, each represented by a unique label ID: | |
| | Category | ID | | |
| |------------------------------------|----| | |
| | Agriculture | 0 | | |
| | Air Quality | 1 | | |
| | Atmospheric/Ocean Indicators | 2 | | |
| | Cryospheric Indicators | 3 | | |
| | Droughts | 4 | | |
| | Earthquakes | 5 | | |
| | Ecosystems | 6 | | |
| | Energy Production/Use | 7 | | |
| | Environmental Impacts | 8 | | |
| | Floods | 9 | | |
| | Greenhouse Gases | 10 | | |
| | Habitat Conversion/Fragmentation | 11 | | |
| | Heat | 12 | | |
| | Land Surface/Agriculture Indicators| 13 | | |
| | Public Health | 14 | | |
| | Severe Storms | 15 | | |
| | Sun-Earth Interactions | 16 | | |
| | Validation | 17 | | |
| | Volcanic Eruptions | 18 | | |
| | Water Quality | 19 | | |
| | Wildfires | 20 | | |