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--- |
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language: |
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- en |
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widget: |
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- text: >- |
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We explore the impact of initial and boundary conditions on simulating an |
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extra-tropical cyclones in the North Atlantic Ocean, employing the Weather |
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Research and Forecasting (WRF) model. The study assesses cyclone trajectory |
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and synoptic patterns against real-world observations, finding that the WRF |
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model effectively replicates Gong's entire lifecycle, including its |
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intensification phase. It was observed that both the genesis of the cyclone |
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and its Q-Vector—a meteorological vector that indicates the potential for |
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cyclogenesis—are significantly influenced by the initial conditions set in |
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the model. |
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example_title: LABEL_15 (Severe Storms) |
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license: cc-by-4.0 |
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pipeline_tag: text-classification |
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tags: |
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- NASA |
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- GES-DISC |
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- Earth Sciences |
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--- |
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## Model Information |
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This model is based on the `nasa-impact/nasa-smd-ibm-st-v2` model. It has been fine-tuned for a classification task using approximately 1400 publication abstracts in earth sciences. The model was validated on 1000 unseen abstracts. The labelling of the publications was conducted by the NASA GES-DISC science team. The training and validation dataset, along with performance scores, will be published here soon. |
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## Label Mapping |
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The model classifies inputs into the following categories, each represented by a unique label ID: |
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| Category | ID | |
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|------------------------------------|----| |
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| Agriculture | 0 | |
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| Air Quality | 1 | |
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| Atmospheric/Ocean Indicators | 2 | |
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| Cryospheric Indicators | 3 | |
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| Droughts | 4 | |
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| Earthquakes | 5 | |
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| Ecosystems | 6 | |
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| Energy Production/Use | 7 | |
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| Environmental Impacts | 8 | |
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| Floods | 9 | |
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| Greenhouse Gases | 10 | |
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| Habitat Conversion/Fragmentation | 11 | |
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| Heat | 12 | |
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| Land Surface/Agriculture Indicators| 13 | |
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| Public Health | 14 | |
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| Severe Storms | 15 | |
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| Sun-Earth Interactions | 16 | |
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| Validation | 17 | |
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| Volcanic Eruptions | 18 | |
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| Water Quality | 19 | |
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| Wildfires | 20 | |
