Automatic Lidar and Ceilometer Processing Framework (ALCF)
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Updated
Jul 18, 2024 - Fortran
Automatic Lidar and Ceilometer Processing Framework (ALCF)
Extreme value theory and GANs to generate compound coastal hazards (wind speed + sea level pressure) from ERA5 reanalysis data over the Bay of Bengal.
Canada Wildfire Prediction Using Deep Learning
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
A large compression model for weather and climate data, which compresses a 200+ TB ERA5 dataset into a new 0.7TB CRA5 dataset.
Visualization and postprocessing of the WRF and ERA5 data
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
Global positioning by atmospheric pressure
A project focused on climate data and tooling for Rio Grande do Sul in Brazil.
Collection of tools to perform timeseries analysis on climate data (Observation and Downscaled)
initial release of the superBT - V04 - beta version 0.4
Using Machine Learning & Fourier Regression to model atmospheric wind, temperature, and pressure in MERRA-2 and ERA-5
An innovative machine learning contrail prediction algorithm
Research all papers and codes related to weather forecasting based on artificial intelligence methods, including but not limited to deep learning, generative adversarial, multimodal and other strong artificial intelligence
JSON API to compute mismatch of pressure timeseries with ERA-5 on Google Earth Engine.
This repository is the reproducible code of the paper Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK. This paper has been accepted in the NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning.
Codes to reproduce the manuscript 'Multi-decadal trends of low clouds at the Tropical Montane Cloud Forests'
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