Unified climate AI framework for time series prediction of river discharge, wildfires, and carbon fluxes across multiple ecosystems
This contains the code and a subset of the data used to train monthly time-series transformer models across three environmental domains (Arctic, Amazon, and Rangeland), first independently and then using a joint architecture. The README file included in the ZIP files provides further details about the project and instructions on navigating the files and folders.
Authors
- Sandeep Poudel (ORCID: https://orcid.org/0009-0005-8342-7935)
Institutions
- Cornell University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-06
- DOI
- https://doi.org/10.5281/zenodo.24018978
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00