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)
Additional Information
DeepFate: Unraveling Deep Convective Systems Life Cycle with AI - Descriptions, Variable metadata tables
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
Size
735.30 MiB (771017815 Byte)
Format
CSV
Status
completely archived
Creation Date
Review Date
2026-02-02
Download Permission
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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
VariableUnit
air_temperature
CF
K
atmosphere_mass_content_of_cloud_ice
CF
kg m-2
atmosphere_mass_content_of_water_vapor
CF
kg m-2
eastward_wind
CF
m s-1
lagrangian_tendency_of_air_pressure
CF
Pa s-1
northward_wind
CF
m s-1
relative_humidity
CF
1
toa_outgoing_longwave_flux
CF
W m-2
upward_derivative_of_eastward_wind
CF
m s-1
upward_derivative_of_northward_wind
CF
m s-1
vertically_integrated_moist_static_energy
J m-2

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]