Scholarlink

<p>With the purpose of accomplishing climatic regionalization, the analysis of temperature and precipitation data was done through the wavelet transform. This analysis seeks to help decision makers to take decisions on predictions by providing more details concerning the information about the temperature and precipitation patterns within the region. Data from temperature and precipitation stations (i.e. Gilgit and Skardu Station) in Gilgit-Baltistan were used and the wavelet transforms were applied to these time series in order to determine zones within the region. Despite the rainfall wavelet power spectra showed to be very similar, the global wavelet spectra of the main frequency components of the temperature and precipitation time series revealed different patterns. A total of 4 temperature and precipitation time series were assessed and their global wavelet spectra, together with the band scale-average time series, can be considered useful for determining the climatic zones within the region.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Applications of wavelet transform in climatic time series: a case study of Gilgit-Baltistan, Pakistan

  • 期刊论文

  • 发表日期：

    2025年5月14日

查看全文
  • A. Khan,
  • D. Hassan,
  • S. M. M. Raza,
  • M. Amjad,
  • K. Mian

摘要

With the purpose of accomplishing climatic regionalization, the analysis of temperature and precipitation data was done through the wavelet transform. This analysis seeks to help decision makers to take decisions on predictions by providing more details concerning the information about the temperature and precipitation patterns within the region. Data from temperature and precipitation stations (i.e. Gilgit and Skardu Station) in Gilgit-Baltistan were used and the wavelet transforms were applied to these time series in order to determine zones within the region. Despite the rainfall wavelet power spectra showed to be very similar, the global wavelet spectra of the main frequency components of the temperature and precipitation time series revealed different patterns. A total of 4 temperature and precipitation time series were assessed and their global wavelet spectra, together with the band scale-average time series, can be considered useful for determining the climatic zones within the region.