Scalar Features of Deep Convective Systems in DYAMOND Summer

Abramian, Sophie et al.

Dataset
Summary
This dataset consists of two sets (one for training and one for testing) that contain precomputed features derived from DeepFate_h5 physical fields for each deep convective system. While the data includes time and space coverage, time and space are not represented as axes; instead, the data is organized according to the labels of the deep convective systems.
Project
nextGEMS (Next Generation Earth Modelling Systems)
Spatial Coverage
Longitude 0 to 360 Latitude -30 to 30
Temporal Coverage
2016-08-10 to 2016-09-20 (calendrical)
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
Format
CSV
Status
metadata only
Creation Date
Review Date
2026-01-21
Download Permission
No - Metadata only.
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_scal] [Entry id: 5281168]