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.

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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
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article

Unified climate AI framework for time series prediction of river discharge, wildfires, and carbon fluxes across multiple ecosystems

Sandeep Poudel
2 links
Zenodo (CERN European Organization for Nuclear Research)
Hydrological Forecasting Using AI
article

Unified climate AI framework for time series prediction of river discharge, wildfires, and carbon fluxes across multiple ecosystems

Sandeep Poudel
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Cornell University (US)
Climate action
Openalex Percentile: Top 25%
Hydrological Forecasting Using AI
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Unified climate AI framework for time series prediction of river discharge, wildfires, and carbon fluxes across multiple ecosystems — Sandeep Poudel · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS