Work

Hail_XGB_predictions_world 2011-2024

Year: 2026

Type: dataset

Abstract: This repository contains large hail (>2.5 cm) probabilities for the period 2011-2024 for the World. The model is a machine learning model using XGBoost. More details will be soon available once the paper is published.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22121508

Authors: Blanc, Boris, Prein, Andreas, Lohmann, Ulrike, Jeggle, Kai, Aellen, Neil, Zeder, Joel, Raupach, Timothy

Institutions: UNSW Sydney, ETH Zurich, Swiss Re (Switzerland)

Language: English

Topic: Meteorological Phenomena and Simulations

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7207622540

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