WRF Input and Output Data for Simulating Derechos with Long-Duration Winds
d189951
Abstract:
Derechos are long-lived mesoscale convective systems (MCSs) that are known for producing extreme and extensive wind damage. They have impact over a large area (usually multiple states), with individual locations sustaining severe intensity winds for as long as 20 minutes or more in the most extreme cases. The data presented here were used to analyze derecho cases that had long-duration winds by simulating each one using the Weather Research and Forecast (WRF) model and examining how the dominant wind-producing mechanisms for both the strongest and longest-duration winds vary across each simulation. The observed derechos occurred on 21-22 June 2015, 10 August 2020, 29 June 2023, and 20-21 June 2025.
Temporal Range:
2015-06-21 to 2025-06-21
(Entire dataset)
Period details by dataset product
Period details by dataset product
2015-06-21 00:00:00 +0000 to 2015-06-22 00:00:00 +0000 (Derecho Event from June 15, 2021)
2025-06-28 to 2025-06-21 (Derecho Event from June 20, 2025)
2023-06-28 to 2023-06-30 (Derecho Event from June 29, 2023)
Variables:
| Derecho | U/V Wind Components | U/V Wind Components | Vertical Wind Velocity/Speed |
| Wind Speed |
Data Types:
Grid
Data Contributors:
IA-STATE/CA/AGRON
Agronomy Department, College of Agriculture, Iowa State University
Total Volume:
1.08 GB
(Entire dataset)
Volume details by dataset product
Volume details by dataset product
Derecho Event from June 15, 2021: 1.08 GB
Data Formats:
HDF5/NetCDF4, WMO GRIB2
Metadata Record:
Data License:
This work is licensed under a Creative Commons Attribution 4.0 International License.
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in GDEX citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.