Data and scripts for the RaFSIP scheme
This repository contains microphysics routines, scripts, and processed data from the Weather Research and Forecasting (WRF) model simulations presented in the paper " RaFSIP: Parameterizing ice multiplication in models using a machine learning approach" , by Paraskevi Georgakaki and Athana...
Main Authors: | , |
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Format: | Other/Unknown Material |
Language: | English |
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Zenodo
2024
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Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.10569644 |
Summary: | This repository contains microphysics routines, scripts, and processed data from the Weather Research and Forecasting (WRF) model simulations presented in the paper " RaFSIP: Parameterizing ice multiplication in models using a machine learning approach" , by Paraskevi Georgakaki and Athanasios Nenes. RaFSIP is a data-driven parameterization designed to streamline the representation of Secondary Ice Production (SIP) in large-scale models. Preprint available on Authorea: https://doi.org/10.22541/essoar.170365383.34520011/v1 |
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