Data supporting the Schreyer honors thesis written by Alexander Tomoff on the estimation of Dvorak intensity error using a consensus approach and a modified technique for weakenig storms

The Dvorak satellite technique is a relatively accurate, reproducible method for operationally estimating tropical cyclone intensity and position. We study the accuracy and potential biases of the method for Northern Atlantic and East Pacific storms from 2009 to 2016 as developed by two different agencies (the Tropical Analysis and Forecast Branch and the Satellite Analysis Branch), as well as one objective technique (the Automated Dvorak Technique). The products of each agency contribute significant skill to a multi-group consensus. The combination of the three groups helps lower mean absolute error of the consensus, which is found to be 2.63%, 20.6%, and 35.9% smaller than TAFB, SAB, and ADT, respectively. This implies that using a consensus average of Dvorak estimates is generally better than using any one individual group. The Dvorak Technique needs modification for cases when storms are weakening. Taking the average of the Current Intensity number and the T-number for weakening storms only improves the predictive skill of the Dvorak Technique for weakening systems for TAFB. This work affirms that, as a whole, the multi-group Dvorak consensus is improved by each constituent part, and that more research should focus on modifying the technique to better suit current understandings of tropical cyclone development.

Files

Metadata

Work Title Data supporting the Schreyer honors thesis written by Alexander Tomoff on the estimation of Dvorak intensity error using a consensus approach and a modified technique for weakenig storms
Subtitle Best Track verification data and Dvorak intensity estimates from the Tropical Analysis and Forecast Branch, the Satellite Analysis Branch, and the Automated Dvorak Technique
Access
Open Access
Creators
  1. ALEXANDER MARAT TOMOFF
Keyword
  1. Dvorak, NHC, TAFB, SAB, ADT, meteorology, tropical, Schreyer
License All rights reserved
Work Type Dataset
DOI doi:10.18113/S1CS7H
Deposited April 05, 2018

Versions

Analytics

Collections

This resource is currently not in any collection.

Work History

Version 1
published

  • Created
  • Added Tomoff_Alexander_Thesis_Data.csv
  • Added Creator ALEXANDER MARAT TOMOFF
  • Published