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...

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Bibliographic Details
Main Authors: Georgakaki, Paraskevi, Nenes, Athanasios
Format: Dataset
Language:English
Published: Zenodo 2024
Subjects:
Clouds
Arctic
Ice multiplication
Machine learning
Modeling
Parameterization
Cloud microphysics
Random Forests
Online Access:https://dx.doi.org/10.5281/zenodo.10569644
https://zenodo.org/doi/10.5281/zenodo.10569644
Description
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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