Using of rank distributions in the study of perennial changes for monthly average temperatures

V. B. Nemirovskiy, A. K. Stoyanov, V. A. Tartakovsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The possibility of comparing the climatic data of various years with using rank distributions is considered in this paper. As a climatic data, the annual variation of temperature on the spatial areas of meteorological observations with high variability in average temperatures is considered. The results of clustering of the monthly average temperatures values by means of a recurrent neural network were used as the basis of comparing. For a given space of weather observations the rank distribution of the clusters cardinality identified for each year of observation, is being constructed. The resulting rank distributions allow you to compare the spatial temperature distributions of various years. An experimental comparison for rank distributions of the annual variation of monthly average temperatures has confirmed the presence of scatter for various years, associated with different spatio-Temporal distribution of temperature. An experimental comparison of rank distributions revealed a difference in the integral annual variation of monthly average temperatures of various years for the Northern Hemisphere.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume9680
ISBN (Print)9781628419085
DOIs
Publication statusPublished - 2015
Event21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Russian Federation
Duration: 22 Jun 201526 Jun 2015

Conference

Conference21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityTomsk
Period22.6.1526.6.15

Fingerprint

annual variations
Annual
Temperature
temperature
temporal distribution
Hemisphere
Recurrent neural networks
Recurrent Neural Networks
Northern Hemisphere
Scatter
Temperature Distribution
Spatial Distribution
weather
Weather
Cardinality
Temperature distribution
temperature distribution
Clustering
Observation

Keywords

  • cluster and climate.
  • Rank distribution

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Nemirovskiy, V. B., Stoyanov, A. K., & Tartakovsky, V. A. (2015). Using of rank distributions in the study of perennial changes for monthly average temperatures. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9680). [96805R] SPIE. https://doi.org/10.1117/12.2205298

Using of rank distributions in the study of perennial changes for monthly average temperatures. / Nemirovskiy, V. B.; Stoyanov, A. K.; Tartakovsky, V. A.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9680 SPIE, 2015. 96805R.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nemirovskiy, VB, Stoyanov, AK & Tartakovsky, VA 2015, Using of rank distributions in the study of perennial changes for monthly average temperatures. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9680, 96805R, SPIE, 21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Tomsk, Russian Federation, 22.6.15. https://doi.org/10.1117/12.2205298
Nemirovskiy VB, Stoyanov AK, Tartakovsky VA. Using of rank distributions in the study of perennial changes for monthly average temperatures. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9680. SPIE. 2015. 96805R https://doi.org/10.1117/12.2205298
Nemirovskiy, V. B. ; Stoyanov, A. K. ; Tartakovsky, V. A. / Using of rank distributions in the study of perennial changes for monthly average temperatures. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9680 SPIE, 2015.
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