Datasets

creator: Daniel Robert Chavas, 0000-0001-9172-8328 date: 2022

Total is 6 Results
Bias in CMIP6 historical U.S. severe convective environments driven by bias in mean-state near-surface moist static energy

10.4231/42ZJ-A891

Daniel Robert Chavas ORCID logo , Funing Li ORCID logo

03/08/2022

This database provides data (in NetCDF format) for reproducing figures in the manuscript of Chavas&Li (2022).

climate modeling EAPS Earth and Atmospheric Sciences severe convective storms thunderstorm

Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)

10.4231/3FQ4-1E11

Daniel Robert Chavas ORCID logo

04/15/2022

Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.

climate impacts damages EAPS Hurricanes Risk Analysis Risk assessment Weather

Code for tropical cyclone wind profile model of Chavas et al (2015, JAS)

10.4231/CZ4P-D448

Daniel Robert Chavas ORCID logo

06/06/2022

This code will output a tropical cyclone near-surface wind profile as defined in Chavas et al (2015, JAS); MATLAB or python version

Climate Change damage EAPS hazard Hurricanes impact Risk assessment tropical cyclone wind field wind profile

Display #

Results 1 - 6 of 6