Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A decision support system for combining forecasting results
Download
index.pdf
Date
2003
Author
Bilkay, Tunç
Metadata
Show full item record
Item Usage Stats
157
views
0
downloads
Cite This
The present study aims to develop an analysis package for combining forecasts that are obtained from different forecast methods. The package is composed of three modules, namely, the data input module, the data analysis module and the combination module. In data input module, the data is entered and saved as an Excel file with the given name. In data analysis module, the program computes the forecasts of the selected methods and displays the forecast results, the mean absolute errors, the mean square errors and the mean absolute percentage errors of these methods. In combination module, the forecast results, computed in the data analysis module, are combined according to the selected combination methods. All the detailed calculations of the forecasts and the values assigned by the program to minimize the mean absolute deviations, the mean square errors and the mean absolute percentage errors are displayed under the columns of the related method on the Excel spreadsheet of the file.
URI
http://etd.lib.metu.edu.tr/upload/771121/index.pdf
https://hdl.handle.net/11511/13827
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Development of openFOAM - WRF coupling methodolgy for wind power production estimations
Leblebici, Engin; Tuncer, İsmail Hakkı (2016-05-02)
The objective of the this study is the development of a tool to predict daily wind energy production potentialaccurately for a region of interest. For that purpose, mesoscale weather prediction model WRF (WeatherResearch and Forecast) is coupled with the Opensource CFD solver OpenFOAM via using low resolutionWRF data as unsteady and spatially varying boundary condtions in the CFD solver OpenFOAM. For thatpurpose, a new boundary condition class (timevaryingmixed) in OpenFOAM was developed and utilized. 12hou...
Validation of Parallel WRF Downscaling Methodology using OpenFOAM
Leblebici, Engin; Tuncer, İsmail Hakkı (2017-06-26)
The main objective of this study is to obtain real-time atmospheric flow solutions using open source CFD solver OpenFOAM coupled with Numerical Weather Prediction (NWP) model; Weather Research Forecast (WRF). NWP can take moist convection, land surface parameterization, atmospheric boundary layer physics into account, but wind flow features finer than 1 km aren't captured by the turbulence physics of such models. CFD simulations, however, have proved to be useful at capturing the detail...
Evaluating a mesoscale atmosphere model and a satellite-based algorithm in estimating extreme rainfall events in northwestern Turkey
Yücel, İsmail (Copernicus GmbH, 2014-01-01)
Quantitative precipitation estimates are obtained with more uncertainty under the influence of changing climate variability and complex topography from numerical weather prediction (NWP) models. On the other hand, hydrologic model simulations depend heavily on the availability of reliable precipitation estimates. Difficulties in estimating precipitation impose an important limitation on the possibility and reliability of hydrologic forecasting and early warning systems. This study examines the performance o...
A toolkit for three-dimensional reconstruction andvisualization of weather radar images
Pesen, Mustafa Ahmet; Leloğlu, Uğur Murat; Department of Geodetic and Geographical Information Technologies (2019)
Weather radars are among key instruments that feed numerical weather prediction models. They form two-dimensional (2D) images at various elevation angles with radii of tens of kilometers. These images are actually sections from three-dimensional (3D) time-dependent volumetric data. In modern radars, each cell can be assigned a type of hydrometeor after processing. However, the visual interpretation of these images is not easy due to the complicated viewing geometry. Nevertheless, computer graphics can make ...
A semiparametric panel model for unbalanced data with application to climate change in the United Kingdom
Atak Atalık, Alev; Xiao, Zhijie (2011-09-01)
This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other weather outcomes over the last century. We work with the monthly averaged maximum and minimum temperatures observed at the twenty six Meteorological Office stations. The data is an unbalanced panel. We allow the trend to evolve in a nonparametric way so that we obtain a fuller picture of the evolution of common temperature in the medium timescale. Profile likelihood estimators (PLE) are pro...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Bilkay, “A decision support system for combining forecasting results,” M.S. - Master of Science, Middle East Technical University, 2003.