Skip to main content
Log in

Meteorosoft: a excel function for wind data processing and rose diagram

  • Software Article
  • Published:
Earth Science Informatics Aims and scope Submit manuscript

Abstract

The handling and processing of the large size meteorological datas are difficult task for environmentalist, Engineers and geoscientist. The meteorological data processing programs are available in the web with high cost. However, the obtained data sets should be process and shortlist based on the requirement of software package. Further the available softwares are not easy for young researchers and student communities. In this simple program, we discussed about step wise processing of raw meteorological data and plotting the wind rose diagram. This program can be used to plot the other atmospheric parameters including concentration of gaseous pollutants and physical parameters of the atmosphere.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Ahmed AS (2018) Wind energy characteristics and wind park installation in Shark El-Ouinat, Egypt. Renew Sust Energ Rev 82:734–742

    Article  Google Scholar 

  • Alaydi JY (2011) Assessment of wind energy potential in Gaza Strip. Front Energy 5(3):297–304

  • Amoo MO (2012) Evaluation of the wind energy potential of two south west sites in Nigeria. Front Energ 6(3):237–246

  • Araghi A, Adamowski J, Jaghargh MR (2016) Detection of trends in days with thunderstorms in Iran over the past five decades. Atmos Res 172–173:174–185

    Article  Google Scholar 

  • Chandrasekar N, Sheik Mujabar P (2010) Computer application on evaluating beach sediment erosion and accretion from profile survey data. Comput Geosci 14:503–508

    Article  Google Scholar 

  • Delene DJ (2011) Airborne data processing and analysis software package. Earth Sci Inf 4:29–44

    Article  Google Scholar 

  • Gunwani P, Mohan M (2017) Sensitivity of WRF model estimates to various PBL parameterizations in different climatic zones over India. Atmos Res 194:43–65

    Article  Google Scholar 

  • Jaroensutasinee K, Pheera W, Jaroensutasinee M (2014) Online weather data analysis and visualization tools for applications in ecoinformatics. Earth Syst Inform 7:205–213

    Article  Google Scholar 

  • Jung C, Schindler D, Laible J (2018) National and global wind resource assessment under six wind turbine installation scenarios. Energy Convers Manag 156:403–415

    Article  Google Scholar 

  • Li K, Chen L, Ying F, White SJ, Jang C, Wu X, Gao X, Hong S, Shen J, Azzi M, Cen K (2017) Meteorological and chemical impacts on ozone formation: a case study in Hangzhou, China. Atmos Res 196:40–52

    Article  Google Scholar 

  • Palermea C, Claudc C, Dufoura A, Genthona C, Woodd NB, L’Ecuyere T (2017) Evaluation of antarctic snowfall in global meteorological reanalyses. Atmos Res 190:104–112

    Article  Google Scholar 

  • Sarma ALN, Sainath BVHN (1990) Studies on urban climatic variations. Energy Build 15-16:119–128

    Article  Google Scholar 

  • Yang Y, Liao H, Li J (2014) Impacts of the East Asian summer monsoon on interannual variations of summertime surface-layer ozone concentrations over China. Atmos Chem Phys 14:6867–6879

    Article  Google Scholar 

  • Ziyaee A, Karimi A, Hirmas DR, Kehl M, Lakzian A, Khademi H, Mechem DB (2018) Spatial and temporal variations of airborne dust fallout in Khorasan Razavi Province, northeastern Iran. Geoderma 326:42–55

    Article  Google Scholar 

Download references

Acknowledgments

The authors are thankful to the Director, National Institute of Wind Energy Technology (NEWE), Chennai for providing meteorological data sets for validating this program

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. Bharani.

Additional information

Communicated by: H. Babaie

Electronic supplementary material

ESM 1

(DOCX 20 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bharani, R., Sivaprakasam, A. Meteorosoft: a excel function for wind data processing and rose diagram. Earth Sci Inform 13, 965–971 (2020). https://doi.org/10.1007/s12145-019-00435-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12145-019-00435-7

Keywords

Navigation