Published October 30, 2023 | Version v1
Dataset Open

Data for training SuperdropNet

Authors/Creators

  • 1. ROR icon Helmholtz-Zentrum Hereon

Description

Dataset for training and testing SuperdropNet.  Includes superdroplet simulations in a warm rain scenario which were simulated using McSnow.

Files

Files (1.3 GB)

Name Size
md5:bf13c791860b6876c95bb81532e8816e
180.5 MB Download
md5:9bf413aa3a76cf3e24ced771891b77e2
1.1 GB Download

Additional details

Related works

Is supplemented by
Model: 10.5281/zenodo.8319307 (DOI)

Dates

Available
2023-10-30

References

  • Brdar, S., and A. Seifert. 'McSnow: A Monte‐Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space'. Journal of Advances in Modeling Earth Systems, vol. 10, no. 1, Jan. 2018, pp. 187–206. DOI.org (Crossref), https://doi.org/10.1002/2017MS001167
  • Seifert, Axel, and Stephan Rasp. 'Potential and Limitations of Machine Learning for Modeling Warm‐Rain Cloud Microphysical Processes'. Journal of Advances in Modeling Earth Systems, vol. 12, no. 12, Dec. 2020, p. e2020MS002301. DOI.org (Crossref), https://doi.org/10.1029/2020MS002301