A Study On the Local Weather Synthesis by The Adjusted Inverse Distance Weighted (AIDW) Interpolation

Md. Abdul Al Mohit and Md. Towhiduzzaman
Additional contact information
Md. Abdul Al Mohit: Islamic University, Bangladesh.
Md. Towhiduzzaman: Uttara University (UU), Bangladesh.

European Journal of Applied Physics, 2022, vol. 4, issue 5, 10-15

Abstract: In this study, a modified spatial interpolation method called Adjusted Inverse Distance Weighted (AIDW) is used to analyze meteorological data around the Islamic University, Bangladesh. For the analysis of meteorological data, data were collected from different areas of Islamic University, Kushtia by the well-known portable weather meter Kestrel 3500 weather meter. For the synthesis of the observed data, an efficient solution to the problem of two dimensional interpolation from irregularly-spaced data points in order to anticipate and calculate the desired value, a non-uniform distribution of sample points is used. This method of research is used on some important parameters related to weather and the weather of the study area. A reasonable agreement with the observed and synthesis data of Adjusted Inverse Distance Weighted (AIDW) interpolation was found in this study.

Keywords: Climate; Meteorology; Temperature; Weather. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejphysics/article/view/11204 Abstract page (text/html)
https://eu-opensci.org/index.php/ejphysics/article/download/11204/2054 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:physic:v:4:y:2022:i:5:id:11204

DOI: 10.24018/ejphysics.2022.4.5.204

Access Statistics for this article

More articles in European Journal of Applied Physics from European Open Science
Bibliographic data for series maintained by Support Team ().