Large-Scale Linkages of Socioeconomic Drought with Climate Variability and Its Evolution Characteristics in Northwest China by Siyuan Liu, Jianfeng Zhang, Ni Wang, Na Wei

“…The results showed that (1) the drought intensity in the up-midstream region is stronger than that in the downstream region; in view of the hysteresis in the downstream region, the occurrence of drought in the up-midstream region could be regarded as an early warning to implement preventive measures in the downstream region; (2) an increasing trend in socioeconomic drought throughout the basin exists on both monthly and annual scales, which indicates that the increasing possibility of drought should be effectively addressed; (3) cross wavelet analysis indicated that the large-scale climate indices contribute to the variations in the socioeconomic droughts throughout the basin, indicating that climate variability may provide a reference for managers to deal with socioeconomic drought in the HRB.…”
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Statistical Downscaling and Projection of Future Air Temperature Changes in Yunnan Province, China by Jiaxu Liu, Sujing Chen, Lijuan Li, Jiuyi Li

“…Periodic features were obtained by wavelet analysis. The results showed the following. (1) The pattern of change and the numerical values of the air temperature could be reasonably simulated, with the average R2 between observed and generated data being 0.963 for calibration and 0.964 for validation. (2) All scenarios projected increases of different degrees of temperature in all seasons, except for spring in the 2020s. …”
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The dynamic effects of solar eclipses of October 25, 2022, and October 14, 2023, on GPS-derived total electron content by Vishal Chauhan, Vishakha, Rakesh Singh, Shishupal Singh, Vikram Singh, Om Prakash Singh

“…Atmospheric gravity waves (AGWs) are also observed by performing wavelet analysis on TEC data. The global TEC maps visualize and confirm observed TEC variations, providing spatial and temporal insights into the ionospheric response. …”
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Improved Continuous Wavelet Transform for Modal Parameter Identification of Long-Span Bridges by Mingjin Zhang, Xu Huang, Yongle Li, Hao Sun, Jingyu Zhang, Bin Huang

“…Accurate and timely identification of modal parameters of long-span bridges is important for bridge health monitoring and wind tunnel tests. Wavelet analysis is one of the most advantageous methods for identification because of its good localization characteristics in both time and frequency domain. …”
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Investigation of the relationship between number of tweets and USDTRY exchange rate with wavelet coherence and transfer entropy analysis by Cengiz Karatas, Sukriye Tuysuz, Kazim Berk Kucuklerli, Veysel Ulusoy

“…These relationships change through time and frequency (wavelet analysis results). However, the results from TE indicate a bidirectional relationship between the #dolar (#inflation) tweets number and the USDTRY exchange rate. …”
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Tracking changes in autonomic function by coupled analysis of wavelet-based dispersion of heart rate variability and gastrointestinal symptom severity in individuals with hypermobi... by Sarah A. Mathena, Robert M. Allen, Robert M. Allen, Christina Laukaitis, Christina Laukaitis, Christina Laukaitis, Jennifer G. Andrews

“…This study aimed to understand the intra- and inter-individual variability in autonomic function and to associate this variability with gastrointestinal symptoms in individuals with hEDS using wearable devices.MethodsWe studied 122 days of biometric device data from 26 individuals, including 35 days highlighted as high gastrointestinal (GI) dysfunction and 48 days as low GI dysfunction. Utilizing wavelet analysis to assess the frequency domains of heart rate signals, we compared participants’ HRV data for high, low, very low (VLF), and ultralow (ULF) frequency domains associated with physiological differences.ResultsWe found a significant difference between the VLF and ULF signals on high-GI symptom days compared with low-symptoms days for 92 and 76% of the signals sampled, respectively.DiscussionOur pilot data show a change in HRV for individuals with hEDS experiencing a flare day for a single-body system. …”
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Revealing Novel Connections Between Space Weather and the Power Grid: Network Analysis of Ground‐Based Magnetometer and Geomagnetically Induced Currents (GIC) Measurements by Joseph Hughes, Ryan Mcgranaghan, Adam C. Kellerman, Jacob Bortnik, Robert F. Arrit, Karthik Venkataramani, Charles H. Perry, Jackson McCormick, Chigomezyo M. Ngwira, Morris Cohen

“…The magnetometer data are analyzed using wavelet analysis. This new analysis method shows deviations to be more likely for equatorial stations close to water, which may be caused by the coast effect. …”
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Characteristics of Extreme Runoff in Beijiang River Basin during Dry Season from 1954 to 2020 by ZENG Zhiping, ZHENG Yanhui, ZHOU Yueying, GU Xihui, HE Yanhu

“…It also employed indicators of hydrological alteration (IHA), heuristic segmentation algorithms, Mann-Kendall trend test, and wavelet analysis to examine the distribution characteristics, trends, variability, and cycle of extreme runoff in the Beijiang River Basin during dry season across various time scales. …”
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Trends and Spatiotemporal Patterns of the Meteorological Drought in the Ili River Valley from 1961 to 2023: An SPEI-Based Study by Su Hang, Alim Abbas, Bilal Imin, Nijat Kasim, Zinhar Zunun

“…The SPEI drought index, along with Sen’s trend analysis, the Mann–Kendall test, the cumulative departure method, and wavelet analysis, were employed to assess drought patterns. …”
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Dynamic Interrelation between Aggregated Revenues and Expenditures of Regional-Level Budgets of Federal States: A Time-Frequency Approach to Analysis by Alan K. Karaev, Oksana S. Gorlova, Vadim V. Ponkratov, Margarita L. Vasyunina, Andrey I. Masterov, Hongor N. Zambaev, Lolita H. Gueva

“…The theoretical significance of the study lies in the substantiation that continuous wavelet analysis is a powerful tool for studying the nonlinear relationship between revenues and expenditures, since understanding the causalities between revenues and expenditures on various time scales is significant for choosing measures aimed at maintaining the budget sustainability of the federal constituent entities. …”
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Effects of different climatic conditions on soil water storage patterns by A. Ehrhardt, A. Ehrhardt, J. Groh, J. Groh, J. Groh, H. H. Gerke

“…</p> <p>Pattern identification and quantification of these variations in SWS remain difficult due to the non-linear behaviour of SWS changes over time. Wavelet analysis (WA) provides a tool to efficiently visualize and quantify these patterns by transferring the time series from the time domain into the frequency domain.…”
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Diurnal and Daily Variations of PM2.5 and its Multiple-Wavelet Coherence with Meteorological Variables in Indonesia by Nani Cholianawati, Tiin Sinatra, Ginaldi Ari Nugroho, Didin Agustian Permadi, Asri Indrawati, Halimurrahman, Meta Kallista, Moch Syarif Romadhon, Ilma Fauziah Ma’ruf, Dipo Yudhatama, Tesalonika Angela Putri Madethen, Asif Awaludin

“…Implementation of Multiple Wavelet Coherence (MWC) with various meteorological variables reveals that the combination of four parameters provides a stronger influence on the PM2.5 concentration in all the observed locations. Wavelet analysis also observes distinct scale periods that represent higher haze concentrations in Jakarta and Surabaya from May to September. …”
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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

“…In addition, using a cross-wavelet analysis, we found a close in-phase linkage on a decadal timescale between the investigated snow indicators and the Eastern Mediterranean teleconnection Pattern. …”
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Patterns and wavelet coherence analysis of tidal dynamics and chlorophyll a concentration by M.N. Hidayat, R. Wafdan, M. Ramli, Z.A. Muchlisin, S. Rizal

“…This study employs wavelet analysis, applying continuous wavelet transform and wavelet transform coherence for chlorophyll a, rate of change of chlorophyll a, sea level, tidal current, and current magnitude, to explore oscillation patterns and temporal correlations within the marine ecosystem of the northern Bay of Bengal.FINDINGS: Lunar semidiurnal tidal amplitudes increase toward the north, peaking at the Sagar and Ramree Islands, and tidal phases rise from south to northeast. …”
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