Datasets

Creator
Type
Date

subject: Climate Change type: dataset date: 2022

Total is 4 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 ORCID logo , Funing Li ORCID logo

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

Daniel Robert Chavas ORCID logo

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

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

Code and Data from Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America

10.4231/EGDX-Q577

Daniel K. Rucinski , Leah Zoe Almeida , Tim Sesterhenn , Tomas Höök ORCID logo

01/25/2022

Metadata, model code, and output data for the study "Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America".

bioenergetics Climate Change eutrophication Forestry and Natural Resources growth rate potential model Lake Erie

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