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 |