DeepFate: Unraveling Deep Convective Systems Life Cycle with AI - Descriptions, Variable metadata tables

Abramian, Sophie et al.

Additional Info
Summary
For both datasets description of the entry are explicitly detailed in the attached variable metadata tables with variables name and meaning.
Project
nextGEMS (Next Generation Earth Modelling Systems)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
4.55 MiB (4766274 Byte)
Format
pdf
Status
completely archived
Creation Date
Review Date
2026-02-04
Download Permission
Yes
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Abramian, Sophie; Muller, Caroline; Risi, Camille; Roca, Rémy; Fiolleau, Thomas (2024). How key features of early development shape deep convective systems. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=DeepFate

BibTeX RIS

Parent

DeepFate: Unraveling Deep Convective Systems Life Cycle with AI
Details

Parent project(s)

Next Generation Earth Modelling Systems

[Entry acronym: DeepFate_MD] [Entry id: 5369785]