Remote Sensing data - Earth observation data
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Updated
Sep 4, 2024 - Python
Remote Sensing data - Earth observation data
initial release of the superBT - V04 - beta version 0.4
A collection of notebooks demonstrating how to work with ASCAT and ERA5 data.
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.
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)
Gallary of Python programs used to look at stratospheric winds both modeled and observed by Radiosonde observations
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
GUI toolbox to estimate wind speed from underwater acoustic recordings.
In development: Extreme value theory and GANs to generate compound coastal hazards (wind speed + sea level pressure) from ERA5 reanalysis data over the Bay of Bengal.
Code for importing and compatibly formatting data from various sources used during my PhD.
ERA5 data integration to PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
Global empirical models for tropopause height determination
This repository contains Python module to calculate backtrajectories using a Lagrangian method based on ERA5 reanalysis data.
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
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