---
language:
- en
widget:
- text: >-
    We explore 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)
license: cc-by-4.0
pipeline_tag: text-classification
tags:
- NASA
- GES-DISC
- Earth Sciences
---
## Model Information

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.

## 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 |