End-to-end Climate Data Pipeline for Impact Assessment
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Aug 28, 2026 - Jupyter Notebook
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statistical-downscaling
Here are 6 public repositories matching this topic...
Climate extraction and downscaling
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Sep 21, 2020 - R
An minimal BCSD package in Python for statistical climate downscaling, modified from `pangeo-data/scikit-downscale`
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Sep 30, 2024 - Jupyter Notebook
Source code for benchmarking training losses in deep learning-based statistical downscaling.
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Mar 31, 2026 - Python
Personal learning fork of the Climate Change AI tutorial on deep-learning-based statistical downscaling of climate projections.
tutorial deep-learning jupyter-notebook climate-change statistical-downscaling climate-modeling climate-ai
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Aug 11, 2026 - Jupyter Notebook
Reproducible pipeline for the integrated downscaling–BMA–BiLSTM framework: CMIP6 GCM evaluation, two-track downscaling (LARS-WG 8 + DQM), EM-based Bayesian Model Averaging, deep-ensemble streamflow projection, and drought / ETCCDI / compound-extreme analysis. Demonstrated on the Haraz basin, northern Iran.
deep-learning reproducible-research iran hydrology drought uncertainty-quantification cmip6 climate-change bilstm bayesian-model-averaging statistical-downscaling quantile-mapping deep-ensemble compound-extremes streamflow-prediction lars-wg
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Aug 12, 2026 - Python
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