Document Type
Conference Proceeding
Publication Date
8-2025
Abstract
Hydrometeorological teleconnections are key drivers of hydrological processes, representing the influence of large-scale atmospheric circulation patterns on regional climates. Understanding these teleconnections provides crucial insights into the mechanisms underlying hydrometeorological phenomena, particularly hydrological switches—rapid transitions between extreme events such as droughts and floods. These switches have become increasingly prevalent across the contiguous United States (CONUS), fueled by climate variability and evolving atmospheric patterns. This study utilizes cross-wavelet transform analysis to examine the spatial and temporal dynamics of hydrological switches and their correlations with major teleconnection indices, including NAO, ONI, WP, PDO, PNA, and QBO. The findings indicate significant coherence between hydrological switches and teleconnection indices across different temporal scales, with ONI and QBO showing dominant correlations at frequencies of 16–32 months across all regions from 1951 to 2023. Phase analysis reveals a mix of synchronized and lagged impacts, highlighting the intricate interactions between teleconnections and hydrological extremes. Additionally, other indices such as NAO, WP, PDO, and PNA exhibit region-specific correlations, with values peaking at frequencies of 64–256 months during notable periods, underscoring the complex temporal and spatial variability of these influences.
Recommended Citation
S. Maharjan, W. Li, S. Fazl, H. Morgan and H. El-Askary, "Decoding Teleconnection Impacts on Hydrological Switches in the Conus Using Wavelet Analysis," IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2625-2629, https://doi.org/10.1109/IGARSS55030.2025.11243599.
Copyright
© 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Included in
Climate Commons, Environmental Indicators and Impact Assessment Commons, Environmental Monitoring Commons, Hydrology Commons
Comments
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium in 2025. This article may not exactly replicate the final published version. The definitive publisher-authenticated version is available online at https://doi.org/10.1109/IGARSS55030.2025.11243599.