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metadata
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