Useful Prediction of Climate Extreme Risk for Texas-Oklahoma at 4-6 Years

Abstract

This project tackles the challenge for predicting water-cycle extremes in Texas and Oklahoma as severe as the 2015 and 2016 floods beyond seasonal timescale. The projects main objectives were (i) tracking the 4-6-year ENSO (El Nio- Southern Oscillation) and teleconnections and (ii) characterizing uncertainty in the 4-6-year prediction, testing the hypothesis that predictability within the reportedly strengthened 4-6-year ENSO cycle and its teleconnection can be extracted to provide extended outlook for extreme flood risk.

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Document Details

Document Type
Technical Report
Publication Date
Aug 15, 2018
Accession Number
AD1073441

Entities

People

  • Simon S. Wang

Organizations

  • Utah State University

Tags

Communities of Interest

  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Climate Change
  • Computational Science
  • Department Of Defense
  • Earth Sciences
  • Flood Hazards
  • Floods
  • Fluid Dynamics
  • Geography
  • Greenhouse Gases
  • Meteorology
  • North America
  • Storm Surges
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Fluid Dynamics (CFD)