<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15(1)</volume><submitter>Teng J</submitter><pubmed_abstract>Predicting floodplain inundation under a changing climate is essential for adaptive management of water resources and ecosystems worldwide. This study presents a framework combining satellite observations and hydrological modeling to explore changes in floodplain inundation. We examine variability, trends, and frequency of inundation across the Murray-Darling Basin (MDB), Australia's largest river system, over the past 35 years (1988-2022). Our analysis shows that annual maximum 30-day runoff is a primary hydrological factor influencing floodplain inundation. Using this metric as a proxy, we found that floodplain inundation, if driven solely by hydroclimate conditions, would have been more frequent in the recent decades (1988-2022) compared to the century-long baseline (1900-2022), especia</pubmed_abstract><journal>Scientific reports</journal><pagination>8917</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11909220</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Floodplain inundation in the Murray-Darling Basin under current and future climate conditions.</pubmed_title><pmcid>PMC11909220</pmcid><pubmed_authors>Chiew FHS</pubmed_authors><pubmed_authors>Marvanek S</pubmed_authors><pubmed_authors>Vaze J</pubmed_authors><pubmed_authors>Ticehurst C</pubmed_authors><pubmed_authors>Pollino C</pubmed_authors><pubmed_authors>Zheng H</pubmed_authors><pubmed_authors>Yang A</pubmed_authors><pubmed_authors>Penton DJ</pubmed_authors><pubmed_authors>Post DA</pubmed_authors><pubmed_authors>Teng J</pubmed_authors><pubmed_authors>Khanam F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Floodplain inundation in the Murray-Darling Basin under current and future climate conditions.</name><description>Predicting floodplain inundation under a changing climate is essential for adaptive management of water resources and ecosystems worldwide. This study presents a framework combining satellite observations and hydrological modeling to explore changes in floodplain inundation. We examine variability, trends, and frequency of inundation across the Murray-Darling Basin (MDB), Australia's largest river system, over the past 35 years (1988-2022). Our analysis shows that annual maximum 30-day runoff is a primary hydrological factor influencing floodplain inundation. Using this metric as a proxy, we found that floodplain inundation, if driven solely by hydroclimate conditions, would have been more frequent in the recent decades (1988-2022) compared to the century-long baseline (1900-2022), especia</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-26T03:21:17.196Z</modification><creation>2025-04-06T10:48:02.637Z</creation></dates><accession>S-EPMC11909220</accession><cross_references><pubmed>40087483</pubmed><doi>10.1038/s41598-025-93670-6</doi></cross_references></HashMap>