Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data-Reference-Cited by-同舟云学术

Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data

Published:2024-07-13 Issue:9 Volume:38 Page:3639-3656
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Al-Sakkaf Ali Salem,Zhang Jiahua,Yao Fengmei,Hamed Mohammed Magdy,Al-Aizari Ali R.,Dammag Abdulkarem Qasem,Al-Masnay Yousef A.,Thabit Fursan,Shahid Shamsuddin

Funder

CAS Strategic Priority Research Program

The 2023 Zhonglou District of Changzhou City Science and Technology Research Project

“Taishan Scholar” Project of Shandong Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00477-024-02772-6.pdf

Reference68 articles.

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2. Al-Aizari AR, Al-Masnay YA, Aydda A et al (2022) Assessment analysis of flood susceptibility in tropical desert area: a case study of Yemen. Remote Sens (Basel) 14:4050. https://doi.org/10.3390/rs14164050

3. Al-Aizari AR, Alzahrani H, AlThuwaynee OF et al (2024) Uncertainty reduction in Flood susceptibility mapping using Random Forest and eXtreme Gradient Boosting algorithms in two Tropical Desert cities, Shibam and Marib, Yemen. Remote Sens (Basel) 16:336. https://doi.org/10.3390/rs16020336

4. AL-Falahi AH, Saddique N, Spank U et al (2020) Evaluation the performance of several Gridded Precipitation products over the Highland Region of Yemen for Water resources Management. Remote Sens (Basel) 12:2984. https://doi.org/10.3390/rs12182984

5. AL-Falahi AH, Barry S, Gebrechorkos SH et al (2023) Potential of traditional adaptation measures in mitigating the impact of climate change. Sustainability 15:15442. https://doi.org/10.3390/su152115442