Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/100658
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Land Surveying and Geo-Informatics | - |
| dc.contributor | Mainland Development Office | - |
| dc.creator | Qing, Y | en_US |
| dc.creator | Wang, S | en_US |
| dc.creator | Zhang, B | en_US |
| dc.creator | Wang, Y | en_US |
| dc.date.accessioned | 2023-08-11T03:12:25Z | - |
| dc.date.available | 2023-08-11T03:12:25Z | - |
| dc.identifier.issn | 0930-7575 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/100658 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.rights | © Springer-Verlag GmbH Germany, part of Springer Nature 2020 | en_US |
| dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00382-020-05372-6 | en_US |
| dc.subject | Copula | en_US |
| dc.subject | Drought | en_US |
| dc.subject | Flood | en_US |
| dc.subject | Hydrological extremes | en_US |
| dc.subject | Regional climate projection | en_US |
| dc.title | Ultra-high resolution regional climate projections for assessing changes in hydrological extremes and underlying uncertainties | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 2031 | en_US |
| dc.identifier.epage | 2051 | en_US |
| dc.identifier.volume | 55 | en_US |
| dc.identifier.issue | 7-8 | en_US |
| dc.identifier.doi | 10.1007/s00382-020-05372-6 | en_US |
| dcterms.abstract | The frequency and intensity of extreme hydrological events (droughts and floods) have been increasing over the past few decades, which has been posing a threat to water security and agriculture production. Thus, projecting the future evolution of hydrological extremes plays a crucial role in sustainable water management and agriculture development in a changing climate. In this study, we develop the high-resolution projections of multidimensional drought characteristics and flood risks using the convection-permitting Weather Research and Forecasting (WRF) model with the horizontal grid spacing of 4 km for the Blanco and Mission River basins over South Texas. Uncertainties in model parameters are addressed explicitly, thereby leading to probabilistic assessments of hydrological extremes. Our findings reveal that the probabilistic multivariate assessments of drought and flood risks can reduce the underestimation and the biased conclusions generated from the univariate assessment. Furthermore, our findings disclose that future droughts are expected to become more severe over South Texas even though the frequency of the occurrence of droughts is projected to decrease, especially for the long-term drought episodes. In addition, South Texas region is expected to experience more floods with an increasing river discharge. Moreover, the Blanco and Mission river basins will suffer from higher flood risks as flood return periods are expected to become longer under climate change. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Climate dynamics, Oct. 2020, v. 55, no. 7-8, p. 2031-2051 | en_US |
| dcterms.isPartOf | Climate dynamics | en_US |
| dcterms.issued | 2020-10 | - |
| dc.identifier.scopus | 2-s2.0-85087785962 | - |
| dc.identifier.eissn | 1432-0894 | en_US |
| dc.description.validate | 202305 bckw | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | LSGI-0080 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Natural Science Foundation of China; Hong Kong Polytechnic University Startup Grant | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 29137004 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Qing_Ultra-High_Resolution_Regional.pdf | Pre-Published version | 2.1 MB | Adobe PDF | View/Open |
Page views
71
Citations as of Apr 14, 2025
Downloads
55
Citations as of Apr 14, 2025
SCOPUSTM
Citations
20
Citations as of Sep 12, 2025
WEB OF SCIENCETM
Citations
14
Citations as of Oct 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



