Alternatives and similar repositories for FY4A

Users that are interested in FY4A are comparing it to the libraries listed below

• leelew / HybridHydro
  Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in A…
  ☆16Updated 3 weeks ago
• Mo-Dabao / BiteFengyun
  ☆42Updated 4 years ago
• MeteoSwiss / c4dl-multi
  Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"
  ☆35Updated 2 years ago
• ZPYin / Himawari-8_Visualizer
  Visualize Himawari-8 satellite data
  ☆17Updated 2 years ago
• AugChiang / Climate-downscaling
  Deep-learning Based Climate Downscaling of Precipitation Data
  ☆14Updated 7 months ago
• lzhengchun / DSGAN
  a GAN for precipitation downscaling
  ☆41Updated 3 years ago
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆24Updated 2 years ago
• holmescao / U-RNN
  (Journal of Hydrology 2025) U-RNN High-resolution spatiotemporal nowcasting of urban flooding
  ☆62Updated 3 months ago
• yingkaisha / JAMC_20_0057
  (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".
  ☆18Updated 4 years ago
• zxdawn / FY-4
  Codes related to FengYun-4 (FY-4) data
  ☆34Updated 5 years ago
• zxdawn / weather_data
  Scripts of downloading weather data: satellite and reanalysis data
  ☆22Updated 2 years ago
• CoLM-SYSU / CoLM202X
  The Common Land Model
  ☆45Updated last week
• nmcdev / nmc_met_base
  提供一些关于气象应用开发的基础功能函数，包括数组处理、数学函数、物理常数、时间处理、客观分析等模块。
  ☆53Updated 6 months ago
• shenyulu / easyclimate
  A line of code to analyze climate
  ☆43Updated last week
• NMC-DAVE / dk_tutorials_2021
  2021年统计后处理培训教程.
  ☆18Updated 4 years ago
• x7zhong / TransfomerDownscaling
  This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…
  ☆22Updated 2 years ago
• Dlong12 / GANN
  The Generative AOD Adversarial Neural Network (GANN) is a neural network model used for satellite aerosol retrieval.
  ☆10Updated last year
• carlos-gg / dl4ds
  Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…
  ☆93Updated last year
• ZiluM / Deep-learning-for-multi-year-ENSO-Reproduction
  Deep learning for multi-year ENSO forecasts Reproduction
  ☆55Updated last year
• gsarm78 / cs230Project
  Precipitation Nowcasting using DL - CS230 Deep Learning course group project
  ☆22Updated 5 years ago
• MIT-AI-Accelerator / eie-sevir
  Code for working with the SEVIR weather dataset
  ☆33Updated 3 years ago
• S-Stergiadis / MODIS-LST-downscaling-with-RFR
  Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression
  ☆22Updated 3 years ago
• EntekhabiLab / tripleCollocation
  A collection of implementations functions implementing variants of the triple collocation method
  ☆11Updated 10 years ago
• sjliu68 / Estimation-of-PM2.5-PM10-from-Satellite-Imagery
  Estimate PM2.5/PM10 from satellite imagery
  ☆10Updated 4 years ago
• jjmcnelis / mcd43a1-albedo-python
  A comprehensive workflow for calculating black, white, and blue sky albedos from the MODIS BRDF model parameters product (MCD43A1) using …
  ☆27Updated 4 years ago
• ai2es / WAF_ML_Tutorial_Part2
  Python code to assist in familiarizing meteorologists with machine learning
  ☆31Updated 7 months ago
• MrCPlusPlus / ESRCNN-for-Landsat8-Sentinel2-Fusion
  ☆41Updated 5 years ago
• SantanderMetGroup / DeepDownscaling
  Deep learning approaches for statistical downscaling in climate
  ☆72Updated 3 years ago
• OUC-LeiHan / AAS-CUnet
  ☆24Updated 3 years ago
• ldicarlo1 / weather_forecast_bias_correction
  A simple bias correction of temperature, dew point, and 10m wind speeds for the GFS, HRRR, and ECMWF models for two US locations.
  ☆20Updated 3 years ago