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 Athanasi...
Main Authors: | , |
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Format: | Dataset |
Language: | English |
Published: |
Zenodo
2024
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.10569643 https://zenodo.org/doi/10.5281/zenodo.10569643 |
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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