Relationships Between Global Warming and Tropical Cyclone Activity in the Western North Pacific

Abstract

In this work, we investigate the relationships between global warming and tropical cyclone activity in the Western North Pacific (WNP). Our hypothesis is that global warming impacts on TC activity occur through changes in the large scale environmental factors (LSEFs) known to be important in determining the formation and intensity of TCs. The LSEFs on which we focus are: Sea surface temperature (SST) exceeding 26C Weak vertical shear in horizontal winds Large positive absolute vorticity at low levels Mean upward motion High mid-level humidity We separate the data into weekly 5x5 region averages. Using a least squares fit, we identify global warming signals in both the SST and vertical wind shear data across the WNP. These signals vary significantly on a 5x5 scale. Logistic regression was used to determine the LSEFs/TC formation probability relationship. Linear regression was performed to determine the LSEF/ACE relationship. Through the two regression models, we determine that each of the LSEFs is important for both TC formation and ACE. Independent data from that used in the regression modeling was used to validate the models. Our results support our hypothesis, and indicate that global warming has increased TC numbers and intensities in the WNP via the LSEFs.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2007
Accession Number
ADA474394

Entities

People

  • David W. Meyer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Atmospheric Sciences
  • Climate Change
  • Cyclones
  • Data Mining
  • Data Sets
  • Databases
  • Greenhouse Effect
  • Information Science
  • Predictive Modeling
  • Sea Surface Temperature
  • Statistical Analysis
  • Surface Temperature
  • Tropical Cyclones
  • Wind
  • Wind Shear
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Exercise and Sports Science.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Regression Analysis.