Articles | Volume 8, issue 4
https://doi.org/10.5194/esd-8-1263-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-8-1263-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Dec 2017
Research article |
| 22 Dec 2017
Return levels of temperature extremes in southern Pakistan
Maida Zahid
CORRESPONDING AUTHOR
Meteorological Institute, University of Hamburg, Hamburg, Germany
Richard Blender
Meteorological Institute, University of Hamburg, Hamburg, Germany
Valerio Lucarini
Meteorological Institute, University of Hamburg, Hamburg, Germany
Department of Mathematics and Statistics, University of Reading, Reading, UK
Maria Caterina Bramati
Department of Statistical Science, Cornell University, New York, USA
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Cited
17 citations as recorded by crossref.
- Daytime and nighttime heat wave characteristics based on multiple indices over the China–Pakistan economic corridor S. Ullah et al. 10.1007/s00382-019-04934-7
- Intensity-duration-frequency relationship of WBGT extremes using regional frequency analysis in South Korea J. Shin et al. 10.1016/j.envres.2020.109964
- Deadly Heat Stress to Become Commonplace Across South Asia Already at 1.5°C of Global Warming F. Saeed et al. 10.1029/2020GL091191
- Extreme temperature return level mapping for northwest Turkey H. Aksu 10.1007/s00704-021-03812-9
- Climate change will exacerbate population exposure to future heat waves in the China-Pakistan economic corridor S. Ullah et al. 10.1016/j.wace.2023.100570
- Observed changes in maximum and minimum temperatures over China- Pakistan economic corridor during 1980–2016 S. Ullah et al. 10.1016/j.atmosres.2018.09.020
- Characteristics of human thermal stress in South Asia during 1981–2019 S. Ullah et al. 10.1088/1748-9326/ac8fa6
- Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives S. Materia et al. 10.1002/wcc.914
- A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere V. Gálfi et al. 10.1088/1742-5468/ab02e8
- RETURN LEVEL ESTIMATES OF MAXIMUM TEMPERATURE FOR DIFFERENT RETURN PERIOD M. Ali 10.26782/jmcms.2020.08.00008
- Observed changes in temperature extremes over China–Pakistan Economic Corridor during 1980–2016 S. Ullah et al. 10.1002/joc.5894
- Generalized Pareto distribution applied to the analysis of maximum rainfall events in Uruguaiana, RS, Brazil A. Martins et al. 10.1007/s42452-020-03199-8
- Remote sensing-based site suitability assessment and selection of Rabi crop cultivation areas following flood events A. Bormudoi et al. 10.1080/10106049.2024.2356841
- Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years D. Zeng et al. 10.3390/atmos11080858
- Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles E. Hogan et al. 10.1175/JCLI-D-18-0075.1
- Evaluation of Daily Precipitation Extremes in Reanalysis and Gridded Observation‐Based Data Sets Over Germany G. Hu & C. Franzke 10.1029/2020GL089624
- Convergence of Extreme Value Statistics in a Two-Layer Quasi-Geostrophic Atmospheric Model V. Gálfi et al. 10.1155/2017/5340858
16 citations as recorded by crossref.
- Daytime and nighttime heat wave characteristics based on multiple indices over the China–Pakistan economic corridor S. Ullah et al. 10.1007/s00382-019-04934-7
- Intensity-duration-frequency relationship of WBGT extremes using regional frequency analysis in South Korea J. Shin et al. 10.1016/j.envres.2020.109964
- Deadly Heat Stress to Become Commonplace Across South Asia Already at 1.5°C of Global Warming F. Saeed et al. 10.1029/2020GL091191
- Extreme temperature return level mapping for northwest Turkey H. Aksu 10.1007/s00704-021-03812-9
- Climate change will exacerbate population exposure to future heat waves in the China-Pakistan economic corridor S. Ullah et al. 10.1016/j.wace.2023.100570
- Observed changes in maximum and minimum temperatures over China- Pakistan economic corridor during 1980–2016 S. Ullah et al. 10.1016/j.atmosres.2018.09.020
- Characteristics of human thermal stress in South Asia during 1981–2019 S. Ullah et al. 10.1088/1748-9326/ac8fa6
- Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives S. Materia et al. 10.1002/wcc.914
- A large deviation theory-based analysis of heat waves and cold spells in a simplified model of the general circulation of the atmosphere V. Gálfi et al. 10.1088/1742-5468/ab02e8
- RETURN LEVEL ESTIMATES OF MAXIMUM TEMPERATURE FOR DIFFERENT RETURN PERIOD M. Ali 10.26782/jmcms.2020.08.00008
- Observed changes in temperature extremes over China–Pakistan Economic Corridor during 1980–2016 S. Ullah et al. 10.1002/joc.5894
- Generalized Pareto distribution applied to the analysis of maximum rainfall events in Uruguaiana, RS, Brazil A. Martins et al. 10.1007/s42452-020-03199-8
- Remote sensing-based site suitability assessment and selection of Rabi crop cultivation areas following flood events A. Bormudoi et al. 10.1080/10106049.2024.2356841
- Spatial-Temporal Pattern Changes of UTCI in the China-Pakistan Economic Corridor in Recent 40 Years D. Zeng et al. 10.3390/atmos11080858
- Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles E. Hogan et al. 10.1175/JCLI-D-18-0075.1
- Evaluation of Daily Precipitation Extremes in Reanalysis and Gridded Observation‐Based Data Sets Over Germany G. Hu & C. Franzke 10.1029/2020GL089624
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
The southern part of Pakistan (Sindh province) has been exposed to frequent and intense temperature extremes recently and is highly vulnerable to their impacts due to lack of information on recurrence of extremes. In this paper for the first time we estimated the return levels of daily maximum temperatures and daily maximum wet-bulb temperatures over the different return periods in Sindh, which would help the local administrations to prioritize the regions in terms of adaptations.
The southern part of Pakistan (Sindh province) has been exposed to frequent and intense...
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Final-revised paper
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