Armin Mehrabian
First version of the trained classifier using v4 dataset and RoBERTa base model.
48a299c
metadata
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