• Register
  • Login
  • Persian

Journal of Range and Watershed Managment

  1. Home
  2. Annual rainfall forecasting based on synoptic patterns of tele-connection using statistical models

Current Issue

By Issue

By Author

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

News

Journal Metric

Superior reviewers

Reviewers

Guide for Reviewers

Annual rainfall forecasting based on synoptic patterns of tele-connection using statistical models

    Authors

    • Gh. A. Fallah Ghalhary
    • M. Mousavi Baygi
    • M. Habibi Nokhandan
    • J. Khoshhal
,
  • Article Information
  • Download
  • How to cite
  • Statistics
  • Share

Abstract

The research show that global climate changes and atmospheric general circulation are affected by large scale phenomena that occurred in the sea surface. These large scale phenomena are often named "climate large scale signals". These signals are calculated based on criteria such as sea Level Pressure (SLP), Sea Surface Temperature (SST) and so on. A method for weather forecasting is a special approach based on statistical modeling. In this study, data of 37 rainfall stations were used to model the relation between precipitation and Sea Level Pressure (SLP), Sea Surface Temperature (SST), Sea Level Pressure gradient (?SLP) and the difference between sea surface temperature and air temperature at 1000 HP. The results show that statistical modeling can successfully predict the amount of annual rainfall. The mean root square error for stepwise model were obtained 49 millimeters.

Keywords

  • Digital Elevation Model
  • Meteorological signals
  • Stepwise model
  • synoptic pattern
  • XML
  • PDF 358.74 K
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
    • Article View: 1,749
    • PDF Download: 1,475
Journal of Range and Watershed Managment
Volume 62, Issue 1 - Serial Number 325051
June 2009
Pages 111-124
Files
  • XML
  • PDF 358.74 K
Share
How to cite
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 1,749
  • PDF Download: 1,475

APA

Fallah Ghalhary, G. A., Mousavi Baygi, M., Habibi Nokhandan, M., & Khoshhal, J. (2009). Annual rainfall forecasting based on synoptic patterns of tele-connection using statistical models. Journal of Range and Watershed Managment, 62(1), 111-124.

MLA

Gh. A. Fallah Ghalhary; M. Mousavi Baygi; M. Habibi Nokhandan; J. Khoshhal. "Annual rainfall forecasting based on synoptic patterns of tele-connection using statistical models". Journal of Range and Watershed Managment, 62, 1, 2009, 111-124.

HARVARD

Fallah Ghalhary, G. A., Mousavi Baygi, M., Habibi Nokhandan, M., Khoshhal, J. (2009). 'Annual rainfall forecasting based on synoptic patterns of tele-connection using statistical models', Journal of Range and Watershed Managment, 62(1), pp. 111-124.

VANCOUVER

Fallah Ghalhary, G. A., Mousavi Baygi, M., Habibi Nokhandan, M., Khoshhal, J. Annual rainfall forecasting based on synoptic patterns of tele-connection using statistical models. Journal of Range and Watershed Managment, 2009; 62(1): 111-124.

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Glossary
  • Sitemap

News

  • Publication fee 2021-09-23

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

© Journal Management System. Powered by Sinaweb