CORDEX Ensemble-based drought projections for Sindh Province of Pakistan under climate change

ABSTRACT Climate change threatens water-scarce regions significantly. This study utilized an ensemble of four CORDEX models to project droughts under climate change in Sindh Province, Pakistan, from 2011 to 2099, using 1981–2010 as the reference period. Droughts were analyzed under two representative concentration pathways (RCPs): 2.6 and 8.5. A distribution mapping approach was applied for bias correction against observed data from eight stations and the standardized precipitation evapotranspiration index (SPEI), which measures drought severity, was calculated at 6, 12, and 24-month timescales. Drought duration and severity were identified using run theory. Results indicate an overall decrease in SPEI, implying worsening drought conditions under both RCPs, with more severe droughts expected under RCP 8.5. The most significant declines in SPEI were noted from 2011 to 2040 under RCP 2.6 and from 2071 to 2099 under RCP 8.5. Hyderabad and MohenjoDaro exhibited the highest drought frequencies under RCP 2.6 (41 and 38%, respectively), while Rohri and Padidan showed the highest under RCP 8.5 (45 and 42%, respectively). The findings emphasize the urgency of adopting localized adaptation strategies to reduce escalating risks and impacts of prolonged and severe droughts driven by climate change.

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Publication Details

Journal
Journal of Water and Climate Change
Published
2024-10-24
DOI
https://doi.org/10.2166/wcc.2024.354
Citations
5
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
1.41

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article

CORDEX Ensemble-based drought projections for Sindh Province of Pakistan under climate change

Muhammad Imran Azam, Rizwan Aziz, Muhammad Faisal, Zongmin Wang et al.
5 citations
Journal of Water and Climate Change
Hydrology and Drought Analysis
1.41
article

CORDEX Ensemble-based drought projections for Sindh Province of Pakistan under climate change

Muhammad Imran Azam, Rizwan Aziz, Muhammad Faisal, Zongmin Wang, Muhammad Arfan, Zafar Hussain, Meiyan Gao, Haibo Yang, Muhammad Usman
article en
5 citations

Abstract

ABSTRACT Climate change threatens water-scarce regions significantly. This study utilized an ensemble of four CORDEX models to project droughts under climate change in Sindh Province, Pakistan, from 2011 to 2099, using 1981–2010 as the reference period. Droughts were analyzed under two representative concentration pathways (RCPs): 2.6 and 8.5. A distribution mapping approach was applied for bias correction against observed data from eight stations and the standardized precipitation evapotranspiration index (SPEI), which measures drought severity, was calculated at 6, 12, and 24-month timescales. Drought duration and severity were identified using run theory. Results indicate an overall decrease in SPEI, implying worsening drought conditions under both RCPs, with more severe droughts expected under RCP 8.5. The most significant declines in SPEI were noted from 2011 to 2040 under RCP 2.6 and from 2071 to 2099 under RCP 8.5. Hyderabad and MohenjoDaro exhibited the highest drought frequencies under RCP 2.6 (41 and 38%, respectively), while Rohri and Padidan showed the highest under RCP 8.5 (45 and 42%, respectively). The findings emphasize the urgency of adopting localized adaptation strategies to reduce escalating risks and impacts of prolonged and severe droughts driven by climate change.

Journal of Water and Climate ChangeVol. 15(11)
University of the Punjab (PK), Pir Mehr Ali Shah Arid Agriculture University (PK), Government of Pakistan (PK), Zhengzhou University (CN), Dalian Maritime University (CN)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 19%
Hydrology and Drought Analysis
1.41
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