WRF model initializer with Shiny
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Updated
Feb 17, 2021 - R
WRF model initializer with Shiny
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
Examined the India-China region through climate reanalysis products ERA5 & NCEP, and climate prediction models RCP 2.6 & 8.5.
An ERA5-based hourly global pressure, temperature, and relative humidity model
Repository to download, process, and visualize local climate data from ERA5
A super lightweight Lagrangian model for calculating millions of trajectories using ERA5 data
Student project - Soil Moisture Dynamics Forecasting Supported with Neural Networsks
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 will contain all the updated information in the shared project between GeoOcean-MetService
This repository contains Python module to calculate backtrajectories using a Lagrangian method based on ERA5 reanalysis data.
Deep Learning for land, oceanic and atmospheric climate variable forecasts
GUI toolbox to estimate wind speed from underwater acoustic recordings.
Remote Sensing data - Earth observation data
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.
The collection of scripts to download Historical ERA5 data, ECMWF 10-day forecasts to create a continuous dataset for 2 years into the past
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