том 222 страницы 114-133

Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan

Shaukat Ali 1
Hyung-Il Eum 1
Jaepil Cho 2
李丹 Li Dan 3
Huseyin Tombuloglu 4
K Dairaku 5
Madan L. Shrestha 6
SUNGJOO “TOMMY” HWANG 7
Wajid Nasim 8
Imtiaz Khan 9
Shah Fahad 9
1
 
Environmental Monitoring and Science Division, Alberta Environment and Parks, Canada
2
 
APEC Climate Center (APCC) Busan Republic of Korea
3
 
Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, Beijing, China
5
 
Disaster Prevention Research Group, National Research Institute for Earth Science and Disaster Prevention, Tsukuba, Japan
Тип публикацииJournal Article
Дата публикации2019-07-01
scimago Q1
wos Q2
БС1
SJR1.440
CiteScore9.2
Impact factor4.4
ISSN01698095, 18732895
Atmospheric Science
Краткое описание
Climate change is a phenomenon that is unequivocally altering the natural systems in all parts of the world but the alteration in climate extremes may pose more severe and unexpected impacts on Pakistan. The current study provides a comprehensive outlook of observation (1976–2005) and changes in climate extremes between the reference (1976–2005) and future periods (2020s: 2006–2035, 2050s: 2036–2065 and 2080s: 2066–2095). The analysis was conducted across six sub-regions of Pakistan including North Pakistan (NP), Monsoon Region (MR), Khyber Pakhtunkhwa (KP), Southern Punjab (SP), Balochistan and Sindh for which Coupled Model Intercomparison Project Phase 5 (CMIP5) 14 General Circulation Models (GCMs) under Representative Concentration Pathways 4.5 (RCP4.5) and RCP8.5 were downscaled and bias corrected by three statistical downscaling methods. The spatial disaggregation and quantile delta mapping (SDQDM) method was used for future projections in this study. Changes in climate extremes were detected by Expert Team on Climate Change Detection and Indices (ETCCDI). In case of temperature, the results indicate a projected increase in frequencies and magnitudes for warm extremes, while it is decreasing for cold extremes in the 21st century. The corresponding trends of maximum and minimum temperature extremes are greater than the mean temperature trend; where the frequency and magnitude of minimum temperature extremes is higher than maximum temperature extremes over Pakistan particularly over North in last half of the 21st century for both RCPs. Also, the average of temperature extremes (TXx, TXn, TNx and TNn) are severe in the order of NP (+4.8 °C), KP (+4.6 °C) and MR (+4.5 °C). In the case of precipitation extremes, most of the sub-regions across Pakistan show a higher increase in total annual precipitation and intense precipitation events with the highest increase in MR, KP and NP and the least increase in Sindh. Despite the increase in total precipitation, numbers of consecutive dry days (CDD) are increasing while consecutive wet days (CWD) are decreasing which can give rise to drought conditions particularly in Sindh. The study provides complementary and consistent climate extremes information over Pakistan for local decision makers to incorporate into policy-making, disaster management, and infrastructure planning.
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ГОСТ |
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Ali S. et al. Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan // Atmospheric Research. 2019. Vol. 222. pp. 114-133.
ГОСТ со всеми авторами (до 50) Скопировать
Ali S., Eum H., Cho J., Li Dan 李., Tombuloglu H., Dairaku K., Shrestha M. L., HWANG S. “., Nasim W., Khan I., Fahad S. Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan // Atmospheric Research. 2019. Vol. 222. pp. 114-133.
RIS |
Цитировать
TY - JOUR
DO - 10.1016/j.atmosres.2019.02.009
UR - https://doi.org/10.1016/j.atmosres.2019.02.009
TI - Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan
T2 - Atmospheric Research
AU - Ali, Shaukat
AU - Eum, Hyung-Il
AU - Cho, Jaepil
AU - Li Dan, 李丹
AU - Tombuloglu, Huseyin
AU - Dairaku, K
AU - Shrestha, Madan L.
AU - HWANG, SUNGJOO “TOMMY”
AU - Nasim, Wajid
AU - Khan, Imtiaz
AU - Fahad, Shah
PY - 2019
DA - 2019/07/01
PB - Elsevier
SP - 114-133
VL - 222
SN - 0169-8095
SN - 1873-2895
ER -
BibTex
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BibTex (до 50 авторов) Скопировать
@article{2019_Ali,
author = {Shaukat Ali and Hyung-Il Eum and Jaepil Cho and 李丹 Li Dan and Huseyin Tombuloglu and K Dairaku and Madan L. Shrestha and SUNGJOO “TOMMY” HWANG and Wajid Nasim and Imtiaz Khan and Shah Fahad},
title = {Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan},
journal = {Atmospheric Research},
year = {2019},
volume = {222},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016/j.atmosres.2019.02.009},
pages = {114--133},
doi = {10.1016/j.atmosres.2019.02.009}
}