A collection of bias correction techniques written in Python - for climate sciences.

python climate-data cdf climate-science python-module bias-correction linear-scaling climate-data-analysis reanalysis delta-method quantile-mapping bias-adjustment variance-scaling quantile-delta-mapping delta-change-method detrended-quantile-mapping

• Updated Nov 2, 2026
• Python

Climate Data Bias Corrector: A tool to bias correct the Global Climate Model (GCM)/ Regional Climate Model (RCM) simulated future climatic daily projections.

python python3 weather-data climate-data bias-correction pyqt4-interface quantile-mapping agro-climatic-tools

• Updated Nov 3, 2021
• Python

Bias correction command-line tool for climatic research written in C++

docker docker-image climate-data command-line-tool correction cdf post-processing climate-science time-series-analysis bias-correction linear-scaling reanalysis bias-reduction delta-method climate-prediction quantile-mapping scaling-algorithms bias-adjustment variance-scaling quantile-delta-mapping

• Updated Jul 21, 2026
• C++

Preprocessing Scripts for VIC-CropSyst Modeling

python matlab preprocessing hydrology spatial-data-analysis matlab-script vic hydrological-modelling regridding hydrology-simulation quantile-mapping agro-climatic-tools ensemble-forecasts spatiotemporal-data-analysis biascorrection vic-cropsyst viccropsyst

• Updated Jan 12, 2024
• Python

Reproduction and QM/QDM extension of a CMIP6-based assessment of future photovoltaic and wind-energy potential over China.

python cmip6 climate-change solar-energy renewable-energy wind-energy bias-correction quantile-mapping era5

• Updated Oct 26, 2026
• Python

Code to Bias Correct ICAR output based on Livneh data, using quantile mapping.

bias-correction icar quantile-mapping

• Updated Feb 19, 2025
• Jupyter Notebook

Performmance/execution time test of the bias correction tool BiasAdjustCXX v1.8 in comparison to python-cmethods v0.6.1 and xclim v0.40.0.

climate-science performance-testing bias-correction linear-scaling climate-analysis delta-method xclim quantile-mapping variance-scaling quantile-delta-mapping python-cmethods biasadjustcxx

• Updated Feb 28, 2023
• HTML

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

• Updated Aug 12, 2026
• Python

ROI-agnostic Python framework fusing quantile-harmonised Landsat C2L2 SR/ST and Sentinel-2 L2A stacks, spatially blocked RF/GBDT surface-state inference with TreeSHAP, Hamed-Rao MK / Theil-Sen / PELT change diagnostics, robust-z LST anomalies with LISA, and Sentinel-1 SBAS (HyP3-MintPy) kinematic attribution.

random-forest landsat insar remote-sensing lightgbm earth-observation time-series-analysis land-surface-temperature mann-kendall sentinel-2 change-point-detection stac sentinel-1 spatial-autocorrelation shap quantile-mapping mintpy sbas radiometric-calibration geospatial-python

• Updated Nov 3, 2026
• Python

Fetch account details from Plaid API and create a pie chart on spending. Plan for retirement based on Monte Carlo simulation assuming normal PDE for 30 years on 4% withdrawals

os histogram plaid-api iex-api quantile-mapping

• Updated Jul 24, 2020
• Jupyter Notebook