sookim-ai / hurricane_detection_cnn

Related projects: ⓘ

• sophiegif / FusionCNN_hurricanes
  public codes for fusing CNN networks
  ☆21Updated 4 years ago
• ecmwf-lab / climetlab-s2s-ai-challenge
  climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
  ☆35Updated last year
• NCAR / PostProcessForecasts
  Beta for Pangeo Postprocessing
  ☆15Updated 4 years ago
• mscheuerer / NeuralNetworkS2S
  Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…
  ☆12Updated 4 years ago
• ashesh6810 / DLC_Extreme
  ☆13Updated 5 years ago
• metno / maelstrom-yr
  A dataset plugin for climetlab for the dataset maelstrom-a1
  ☆12Updated 10 months ago
• royalosyin / A-Beginner-Guide-to-Carry-out-Extreme-Value-Analysis-with-Codes-in-Python
  A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…
  ☆50Updated 7 years ago
• andregraubner / ClimateNet
  Climate Analytics using Deep Neural Networks in Python.
  ☆57Updated 11 months ago
• monocongo / climate_learn
  Deep learning for climate modeling.
  ☆38Updated 5 years ago
• NCAR / ai4ess-hackathon-2020-notebooks
  ☆14Updated 4 years ago
• spcl / deep-weather
  Deep Learning for Post-Processing Ensemble Weather Forecasts
  ☆86Updated last year
• raspstephan / nwp-downscale
  ☆36Updated 2 years ago
• zhonghua-zheng / pyEOF
  pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python
  ☆42Updated 3 years ago
• btschwertfeger / python-cmethods
  A collection of bias correction techniques written in Python - for climate sciences.
  ☆56Updated this week
• microsoft / subseasonal_toolkit
  Subseasonal forecasting models
  ☆42Updated 3 months ago
• suhasdl / DeepWeather
  Predicting weather by machine learning.
  ☆12Updated 4 years ago
• hammad93 / hurricane-net
  A deep learning framework for forecasting Atlantic hurricane trajectory and intensity.
  ☆45Updated last year
• MIT-AI-Accelerator / eie-sevir
  Code for working with the SEVIR weather dataset
  ☆26Updated 2 years ago
• coecms / era5
  Python code to manage ERA5 downloads at NCI
  ☆30Updated 3 years ago
• tjvandal / bcsd-python
  Tool using python and cdo to apply daily climate downscaling with BCSD.
  ☆30Updated 2 years ago
• thunderhoser / ml4convection
  Uses machine learning to predict convective initiation and decay from satellite data.
  ☆22Updated last year
• NCAR / goes16ci
  GOES-16 Convective Initiation Benchmark
  ☆15Updated 2 years ago
• FREVA-CLINT / climatereconstructionAI
  Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutio…
  ☆58Updated this week
• pankajkarman / bias_correction
  python library for bias correction
  ☆30Updated last year
• wy2136 / TCI
  Calculate tropical cyclone related indices like GPI, VI, etc.
  ☆15Updated 2 years ago
• eabarnes1010 / course_ml_ats
  machine learning for the atmospheric sciences - a CSU course
  ☆30Updated 10 months ago
• Zahlii / tropical-cyclone-speed-cnn
  CNN based wind speed estimation of tropical cyclones based on IR/WV satellite imagery
  ☆13Updated 6 years ago
• thunderhoser / GewitterGefahr
  End-to-end machine-learning library for predicting thunderstorm hazards.
  ☆31Updated 3 months ago
• salvaRC / El-GNNino
  Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"
  ☆33Updated 3 years ago
• Ambrosys / climatelearn
  El nino forecast based on a few machine learning methods
  ☆24Updated 8 years ago