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TCIF-fusion
===========

Overview
--------

``tcif_fusion`` combines multiple feature streams behind the shared storm forecasting interface used throughout the PyHazards cyclone roadmap.

At a Glance
-----------

.. grid:: 1 2 4 4
   :gutter: 2
   :class-container: catalog-grid

   .. grid-item-card:: Hazard Family
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         Tropical Cyclone

      .. container:: catalog-stat-note

         Public catalog grouping used for this model.

   .. grid-item-card:: Maturity
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         Implemented

      .. container:: catalog-stat-note

         Catalog maturity label used on the index page.

   .. grid-item-card:: Tasks
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         1

      .. container:: catalog-stat-note

         Track + Intensity

   .. grid-item-card:: Benchmark Family
      :class-card: catalog-stat-card

      .. container:: catalog-stat-value

         :doc:`Tropical Cyclone Benchmark </benchmarks/tropical_cyclone_benchmark>`

      .. container:: catalog-stat-note

         Primary benchmark-family link used for compatible evaluation coverage.


Description
-----------

``tcif_fusion`` combines multiple feature streams behind the shared storm forecasting interface used throughout the PyHazards cyclone roadmap.

The adapter focuses on the fusion contract and evaluator compatibility rather than full reproduction of the original training stack.

Benchmark Compatibility
-----------------------

**Primary benchmark family:** :doc:`Tropical Cyclone Benchmark </benchmarks/tropical_cyclone_benchmark>`

**Mapped benchmark ecosystems:** :doc:`TCBench Alpha </benchmarks/tcbench_alpha>`

External References
-------------------

**Paper:** `Tropical cyclone intensity forecasting using model knowledge guided deep learning model <https://doi.org/10.5194/egusphere-2024-250>`_ | **Repo:** `Repository <https://github.com/wangchong96/TCIF-fusion>`__

Registry Name
-------------

Primary entrypoint: ``tcif_fusion``

Supported Tasks
---------------

- Track + Intensity

Programmatic Use
----------------

.. code-block:: python

   import torch
   from pyhazards.models import build_model

   model = build_model(name="tcif_fusion", task="regression", input_dim=8, horizon=5)
   preds = model(torch.randn(2, 6, 8))
   print(preds.shape)

Notes
-----

- Outputs are shared storm forecast trajectories over the configured horizon.