Published August 2010 | Version v1
Journal article

Severe wind hazard using dynamically downscaled climate simulations

  • 1. Risk and Impact Analysis Group, Geoscience Australia G.PO Box 378, Canberra, Australian Capital Territory (Australia)

Description

Tropical cyclones, thunderstorms and sub-tropical storms can generate extreme winds that can cause significant economic loss. Severe wind is one of the major natural hazards in Australia. In this study, regional return period gust wind hazard (10 meter height over open terrain) is determined using a new methodology developed by Geoscience Australia. The methodology involves a combination of three models: A Statistical Model (ie. data-based model) to quantify wind hazard using extreme value distributions. A methodology to extract gridded hourly maximum mean (time-step) wind speed and direction fields from a high-resolution regional climate model (RCM). Area-averaged measurements from the RCM are 'corrected' for point measurement exposure by applying a regional factor to the RCM values. And a Monte Carlo method to calculate gust wind from RCM mean wind, the former is the value of interest in wind hazard. To assess accuracy, model results were compared against three wind recording stations in Tasmania. These sites were selected because their weather stations and anemometer measurements are located at airports, avoiding the problem of houses or trees affecting the instruments, and also due to these sites having wind gust records. The model works only with synoptic gust wind speeds. A methodology to calculate severe wind gusts associated with thunderstorm down-burst winds is under development.

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/11/1/012021

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (EES)
Journal Volume
11
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1755-1315

Conference

Title
17. national conference of the Australian Meteorological and Oceanographic Society
Dates
27-29 Jan 2010
Place
Canberra (Australia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
42066514
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CLIMATE MODELS; CLIMATES; HAZARDS; MONTE CARLO METHOD; SIMULATION; STATISTICAL MODELS; TASMANIA; WIND
Descriptors DEC
AUSTRALASIA; AUSTRALIA; CALCULATION METHODS; DEVELOPED COUNTRIES; ISLANDS; MATHEMATICAL MODELS