achnju

Application-of-the-Model-Weighting-Toolbox-MWT-

This repository has scripts that perform model weighting using various methods, plots the model weights and corresponding maps, and estimates RMSE of each model. The provided notebooks are flexible and allow users to make edits as desired (e.g. choice of CMIP6 models, choice of variables, etc).

ClimSIPS

to accompany "Climate model Selection by Independence, Performance, and Spread (ClimSIPS) for regional applications"

ClimWIP

ClimWIP allows to calculate & apply performance and independence weights to CMIP models

pymc

Bayesian Modeling and Probabilistic Programming in Python

BMA_ECS

Code to apply BMA on CMIP6 model estimates of ECS

bias_correction

python library for bias correction

climQMBC

A package with multiple bias correction methods for climatic variables, including the QM, DQM, QDM, UQM, and SDM methods.

python-cmethods

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

Bias_Correction_qmap

Downscaling-by-Qmap

Downscaling module for converting specific CSV data to netCDF and then correct the bias of model

Statdownscaling

Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.

ensemble-bias-correction

Bias correction method using quantile mapping

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

deepsd

DeepSD Super-resolution for Climate Downscaling in KDD 2017