Software for "Evaluating the Role of Land Surface Moisture in Generating Asymmetrical Precipitation during the Landfall of Hurricane Florence (2018)"

This is software and data to support the manuscript "Evaluating the Role of Land Surface Moisture in Generating Asymmetrical Precipitation during the Landfall of Hurricane Florence (2018)," which has been accepted for publication in the journal Atmosphere. The software includes all code that is necessary to follow and evaluate the work. Additional software that is not included in this repository includes the Weather Research and Forecasting (WRF) version 3.6.1, which is available for free at the following website: https://www2.mmm.ucar.edu/wrf/users/. We are also including the namelist, initial condition, and boundary condition files that were used to generate the WRF model output. The model output files are available upon request. Public datasets include (1) the Atlantic hurricane database (HURDAT2; https://www.nhc.noaa.gov/data/#hurdat), (2) NCEP Stage IV precipitation available from the NCAR/UCAR (https://data.eol.ucar.edu/dataset/21.093), (3) National Weather Service upper air sounding data available from the University of Wyoming (http://weather.uwyo.edu/upperair/), and (4) vertical wind shear data from the Statistical Hurricane Intensity Prediction Scheme (SHIPS; https://rammb2.cira.colostate.edu/research/tropical-cyclones/ships/).(HURDAT2; https://www.nhc.noaa.gov/data/#hurdat), (2) NCEP Stage IV precipitation available from the NCAR/UCAR (https://data.eol.ucar.edu/dataset/21.093), (3) National Weather Service upper air sounding data available from the University of Wyoming (http://weather.uwyo.edu/upperair/), and (4) vertical wind shear data from the Statistical Hurricane Intensity Prediction Scheme (SHIPS; https://rammb2.cira.colostate.edu/research/tropical-cyclones/ships/).