Remote Sensing data - Earth observation data
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Updated
Feb 23, 2024 - Python
Remote Sensing data - Earth observation data
An innovative machine learning contrail prediction algorithm
This repository will contain all the updated information in the shared project between GeoOcean-MetService
initial release of the superBT - V04 - beta version 0.4
WRF model initializer with Shiny
Using Machine Learning & Fourier Regression to model atmospheric wind, temperature, and pressure in MERRA-2 and ERA-5
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.
JSON API to compute mismatch of pressure timeseries with ERA-5 on Google Earth Engine.
Gallary of Python programs used to look at stratospheric winds both modeled and observed by Radiosonde observations
Repository for making my Final Assignment to my bachelors degree in meteorology
Examined the India-China region through climate reanalysis products ERA5 & NCEP, and climate prediction models RCP 2.6 & 8.5.
The collection of scripts to download Historical ERA5 data, ECMWF 10-day forecasts to create a continuous dataset for 2 years into the past
Collection of tools to perform timeseries analysis on climate data (Observation and Downscaled)
Code for importing and compatibly formatting data from various sources used during my PhD.
GUI toolbox to estimate wind speed from underwater acoustic recordings.
Extreme value theory and GANs to generate compound coastal hazards (wind speed + sea level pressure) from ERA5 reanalysis data over the Bay of Bengal.
ERA5 provides hourly estimates of a large number of atmospheric, land and oceanic climate variables. The data cover the Earth on a 30km grid and resolve the atmosphere using 137 levels from the surface up to a height of 80km. ERA5 includes information about uncertainties for all variables at reduced spatial and temporal resolutions.
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