Document Type
Conference Proceeding
Publication Date
8-2025
Abstract
Hydrological switches, defined as rapid transitions between extreme meteorological events such as droughts and floods, are becoming increasingly frequent across the contiguous United States (CONUS) due to climate variability. This study analyzes the spatial and temporal patterns of these hydrological switches and their correlation with large-scale meteorological indices, such as the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI). Streamflow data from the US Geological Survey (USGS) is analyzed to investigate the impact of meteorological drivers on hydrological variability. Results indicate that regions dependent on snowmelt exhibit delayed hydrological responses to climatic conditions, while areas in the Eastern and Southern U.S. respond quickly to precipitation events. These findings underscore the need for region-specific water management strategies to mitigate the risks posed by increasing hydroclimatic extremes.
Recommended Citation
S. Maharjan, W. Li, S. Shrestha and H. El-Askary, "Assessing Meteorological Impacts on Hydrological Switches in the CONUS," IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 3218-3222, https://doi.org/10.1109/IGARSS55030.2025.11243705.
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, Fresh Water Studies Commons, Hydrology Commons, Other Oceanography and Atmospheric Sciences and Meteorology 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/