Skip to content

mnichol3/glm_forecast_graphic

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

glm-forecast-graphic

This package recreates the tropical cyclone intensity change forecasting graphic aid proposed by Stevenson et al. in their 2017 paper, cited below:

Stevenson, Stephanie N., et al. “A 10-Year Survey of Tropical Cyclone Inner-Core Lightning Bursts and Their Relationship to Intensity Change.” Weather and Forecasting, vol. 33, no. 1, Feb. 2018, pp. 23–36., doi:10.1175/waf-d-17-0096.1.

Prerequisites

  • Python 3.6
    • Boto3
    • Botocore
    • Cartopy
    • Functools
    • Matplotlib
    • NetCDF4
    • Numpy
    • Pandas
    • Pyproj
    • Shapely
    • urllib

Data Sources

  • National Oceanic & Atmospheric Administration (NOAA)
    • GOES-16
      • Advanced Baseline Imager (ABI)
      • Geostationary Lightning Mapper (GLM)
    • Statistical Hurricane Intensity Prediction Scheme (SHIPS)
  • National Hurricane Center (NHC)
    • NOAA Aircraft Operations Center (AOC) & USAFRC 53rd Weather Reconnaissance Squadron (53rd WRS)
      • Vortex Data Message (VDM)
      • TEMP DROP

Authors

  • Matt Nicholson - Department of Atmospheric & Oceanic Science, University of Maryland, College Park

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

  • Pat Meyers, Cooperative Institute for Climate & Satellites - Maryland (CICS-MD)
  • Tim Canty, Department of Atmospheric & Oceanic Science, University of Maryland, College Park
  • Scott Rudlosky, Cooperative Institute for Climate & Satellites - Maryland (CICS-MD)

About

Tropical cyclone intensity change forecast graphic aid

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy