subject: Climate Change subject: EAPS date: 2022
Total is 3 Results
Biases in U.S. severe convective storm environmentsdriven by biases in mean state near-surface moist static energy across CMIP6 models
10.4231/9647-TV41
Daniel Robert Chavas
,
Funing Li
11/23/2022
This database provides data (in NetCDF format) and code for reproducing figures in the manuscript of Chavas&Li (2022).
Climate Change climate models CMIP6 EAPS extreme weather severe thunderstorm environments severe thunderstorms tornadoes
Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)
10.4231/WMMS-XY76
05/06/2022
Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.
Climate Change EAPS Flood Damage Hurricanes Modeling Risk Analysis tropical cyclones
Code for tropical cyclone wind profile model of Chavas et al (2015, JAS)
10.4231/CZ4P-D448
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
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