SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(external source)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:101:1-2019072814342001313010

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Synoptic pattern of deep trough led to strong winds of Zab Basin in Iran

[journal article]

Parvin, Nader
Asheri, Emam Ali

Abstract

One of the most important natural disasters are storms that each year, causing financial losses and Johnny are Frequency. Sometimes damage to the extent that the economic system, social disrupts a country. The aim of this study is to analyze the synoptic conditions of severe storms is Zab basin. In ... view more

One of the most important natural disasters are storms that each year, causing financial losses and Johnny are Frequency. Sometimes damage to the extent that the economic system, social disrupts a country. The aim of this study is to analyze the synoptic conditions of severe storms is Zab basin. In this study, given the scale of temporal and spatial distribution, wind speed and comprehensiveness of the three threshold size and calculate the 90th percentile wind speed, Forty days pervasive and severe storms were selected. Sea level pressure data and the elevation data of 500hp level from the database NCEP/NCAR were extracted. Matrix was formed that storm was on the rows and elevation data middle levels of the atmosphere, was on the columns. Then, principal components that explain the variation in height level pressure hp500 were identified. To identify synoptic patterns, cluster analysis integration "ward's" was performed on these components.The results showed that five synoptic pattern of atmospheric middle level, in the form of three major causes of severe storms in the Zab River Basin: Cut off low pattern, Shallow trough pattern of long wave and deep trough pattern of short wave. The most frequent traffic synoptic pattern of a synoptic pattern of middle levels and 60% of the patterns assigned to itself, causing severe storms in the Zab River Basin. Irregularities in the movement and position of the polar vortex caused the jet stream and storm paths meridian winds greater control and troughs are driven towards the low latitudes deeper. Because of the special arrangement of relatively strong and contrasting surface synoptic, the pressure gradient and energy exchange at its maximum reached compression Isobaric lines and as a result, Strong winds in the catchment area level has been created.... view less

Keywords
Iran; cause; cluster analysis; natural disaster

Classification
Ecology, Environment

Free Keywords
Sturm; synoptische Muster

Document language
English

Publication Year
2015

Page/Pages
p. 46-52

Journal
International Letters of Social and Humanistic Sciences (2015) 61

ISSN
2300-2697

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.