Complexity and periodicity of daily mean temperature and dew-point across India

Abstract

The complexity of temperature and dew-point fluctuations across India are being investigated and analyzed with the help of recurrence plots (RP) and recurrence quantification analysis (RQA). The results firmly state that both data sets is non-linear, non-stationary and deterministic. Hilbert-Huang transform and an efficient peak detection algorithm (integral method) have been used to detect the underlying periodicity (above 95% CL) within these two signals. The nature of the complexity and the derived periods of these two weather variables show that there are significant impact of the local geographical topology and global atmospheric fluctuations on the overall pattern and fluctuation of the temperature and dew-point profile across India.

The Effect of Interfacial Humidity on the Printing of Highly Reproducible Perovskite Solar Cells in the Air

“…In addition, when the substrate heating temperature is lower than the space temperature, the air is not saturated, and there is the generation of water vapor or water beads, which is equivalent to adding humidity to the substrate surface, so the interface humidity will be higher than the ambient humidity. [ 54–56 ] The simulation reveals the correlation between interface humidity and spatial humidity, as well as substrate heating temperature. (Figure 2c) The simulation results presented in Table S2 (Supporting Information) offer a more intuitive depiction.…”

Weather persistence on sub-seasonal to seasonal timescales: a methodological review

“…Yiou et al (2018) indirectly relied on RPs to identify the most recur-rent states of North Atlantic circulation at the intra-seasonal timescale. Adeniji et al (2018) used RPs to analyze the recurrence characteristics of hourly wind speed in Nigeria, and Ray et al (2019) did so to investigate daily temperature and humidity data across India. Recently, Mukhin et al (2022) used RPs to detect weather regimes in the Northern Hemisphere.…”