Buoyancy in Deep Convection Simulations

The dataset contains some of the data from numerical simulations investigating deep convection dynamics, the impact of in-cloud supersaturations on convective updraft strength in particular. It includes simple fortran codes to read the data and write some of them into a data files (standard write from fortran), the data files, and a README file that explains how the data was written and how to read it.

To Access Resource:

Questions? Email Resource Support Contact:

  • Wojciech Grabowski
    UCAR/NCAR - Mesoscale and Microscale Meteorology Laboratory


Resource Type dataset
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution 81.0 verticalLevels
400.0 meters
Related Links N/A
Additional Information N/A
Resource Format application/octet-stream
Standardized Resource Format ASCII
Asset Size N/A
Legal Constraints

Creative Commons Attribution 4.0 International License.

Access Constraints None
Software Implementation Language N/A

Resource Support Name Wojciech Grabowski
Resource Support Email grabow@ucar.edu
Resource Support Organization UCAR/NCAR - Mesoscale and Microscale Meteorology Laboratory
Distributor N/A
Metadata Contact Name GDEX Curator
Metadata Contact Email datahelp@ucar.edu
Metadata Contact Organization UCAR/NCAR - GDEX

Author Grabowski, Wojciech W.
Publisher UCAR/NCAR - GDEX
Publication Date 2021-05-21
Digital Object Identifier (DOI) https://doi.org/10.5065/hqt3-1h72
Alternate Identifier N/A
Resource Version N/A
Topic Category N/A
Progress N/A
Metadata Date 2022-07-21T12:27:31-06:00
Metadata Record Identifier edu.ucar.gdex::357613c8-c1cd-49a6-b749-edc1f919e236
Metadata Language eng; USA
Suggested Citation Grabowski, Wojciech W.. (2021). Buoyancy in Deep Convection Simulations. UCAR/NCAR - GDEX. https://doi.org/10.5065/hqt3-1h72. Accessed 25 May 2024.

Harvest Source