European Journal of Sustainable Development Research

Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan
Ahmad Khan Burhan 1 * , Azmat Hayat Khan 1, Syed Ahsan Ali Bukhari 1, Khurram Riaz 1
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1 Pakistan Meteorological Department, PAKISTAN
* Corresponding Author
Research Article

European Journal of Sustainable Development Research, 2021 - Volume 5 Issue 3, Article No: em0166
https://doi.org/10.21601/ejosdr/11091

Published Online: 18 Jul 2021

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APA 6th edition
In-text citation: (Burhan et al., 2021)
Reference: Burhan, A. K., Khan, A. H., Bukhari, S. A. A., & Riaz, K. (2021). Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan. European Journal of Sustainable Development Research, 5(3), em0166. https://doi.org/10.21601/ejosdr/11091
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Burhan AK, Khan AH, Bukhari SAA, Riaz K. Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan. EUR J SUSTAIN DEV RES. 2021;5(3):em0166. https://doi.org/10.21601/ejosdr/11091
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Burhan AK, Khan AH, Bukhari SAA, Riaz K. Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan. EUR J SUSTAIN DEV RES. 2021;5(3), em0166. https://doi.org/10.21601/ejosdr/11091
Chicago
In-text citation: (Burhan et al., 2021)
Reference: Burhan, Ahmad Khan, Azmat Hayat Khan, Syed Ahsan Ali Bukhari, and Khurram Riaz. "Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan". European Journal of Sustainable Development Research 2021 5 no. 3 (2021): em0166. https://doi.org/10.21601/ejosdr/11091
Harvard
In-text citation: (Burhan et al., 2021)
Reference: Burhan, A. K., Khan, A. H., Bukhari, S. A. A., and Riaz, K. (2021). Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan. European Journal of Sustainable Development Research, 5(3), em0166. https://doi.org/10.21601/ejosdr/11091
MLA
In-text citation: (Burhan et al., 2021)
Reference: Burhan, Ahmad Khan et al. "Univariate Statistics of the RCPs Forced ET–SCI Based Extreme Climate Indices Over Pakistan". European Journal of Sustainable Development Research, vol. 5, no. 3, 2021, em0166. https://doi.org/10.21601/ejosdr/11091
ABSTRACT
Numerical summaries of univariate climatic records, such as temperature and precipitation, are useful for making quantitative decisions for mitigation and adaptation measures. Climate simulations and projections often contain values that lie far away from substance of the data. These values can bias the summary statistics away from values representative for majority of the sample. This problem can be avoided by selecting ensembles approach as well as by using statistics that are resistant to the presence of such outliers. Hence, in addition to typical statistics, resistant statistics are used to investigate spatiotemporal changes in temperature and precipitation extremes over a versatile agro–climatic featured country of Pakistan, by engaging the National Aeronautics and Space Administration Earth Exchange Global Daily Downscaled Projections (NEX‐GDDP) dataset under two Representative Concentration Pathways (RCPs) 4.5 and 8.5 that provides statistically downscaled Coupled Model Inter‐comparison Project Phase 5 (CMIP5) climate baseline (1971–2000) and projections (2021–2050) based on Expert Team on Sector–specific Climate Indices (ET–SCI) method. The results show the following: (a) Shifts in the univariate count statistics under the RCP8.5 are highly prominent with 0.81 degrees deviation in 5th percentile and with a substantial 1.86 degrees deviation in the 95th percentile of the maximum of daily maximum temperature over the projected time series. (b) Standard deviation of historical summer days is placed at 3.7 days with a consistent change under the RCP4.5 emission scenario. Nevertheless, the standard deviation of the summer days hikes by 5.9 days under the RCP8.5 emission scenario. (c) A distressing condition is comprehended under the RCP8.5 emission scenario where changes of 16.5 percent in the 5th and of 19.7 percent in the 95th percentiles are revealed in the warm nights future projections. (d) The maximum rate of simple daily intensity of precipitation in the historical period exists at 0.2 mm/day, however, the RCP4.5 emission scenario thrusts that up to 0.6 mm/day in the projection period. (e) Under the RCP8.5 emission scenario, the standard deviation inflates by 36.4 days while range digresses by an enormous 95 days in the projection period of the consecutive dry days. The outcomes are of applied practice in improving local approaches for hydro–reservoirs and eco‐environment controlling, especially in the diverse climatic region of Pakistan.
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REFERENCES
  • Abbas, S., Shirazi, S. A., Hussain, M. S., Yaseen, M., Shakarullah, K., Wahla, S. S. and Khurshid, M. (2020). Impact of climate change on forest cover: Implications for carbon stock assessment and sustainable development in HKH Region–Pakistan. Pakistan Vision, 21(1), 66.
  • Ahmad, W. (2020). Climate Change Assessment using Climate Indices Approach: A Brief Overview. International Journal for Research in Applied Science & Engineering Technology, 8(9), 876-878. https://doi.org/10.22214/ijraset.2020.31604
  • Ahmed, I., Ullah, A., ur Rahman, M. H., Ahmad, B., Wajid, S. A., Ahmad, A. and Ahmed, S. (2019). Climate change impacts and adaptation strategies for agronomic crops. In Climate Change and Agriculture. IntechOpen. https://doi.org/10.5772/intechopen.82697
  • Ali, S., Eum, H. I., Cho, J., Dan, L., Khan, F., et al. (2019). Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan. Atmospheric Research, 222, 114-133. https://doi.org/10.1016/j.atmosres.2019.02.009
  • Ali, S., Saeed, A., Kiani, R. S., Muhammad, S., Khan, F., et al. (2021). Future climatic changes, extreme events, related uncertainties, and policy recommendations in the Hindu Kush sub-regions of Pakistan. Theoretical and Applied Climatology, 143(1), 193-209. https://doi.org/10.1007/s00704-020-03399-7
  • Aslam, R. A., Shrestha, S., Pal, I., Ninsawat, S., Shanmugam, M. S. and Anwar, S. (2020). Projections of climatic extremes in a data poor transboundary river basin of India and Pakistan. International Journal of Climatology, 40(11), 4992-5010. https://doi.org/10.1002/joc.6501
  • Aziz, F., Tariq, N., Rahim, A. and Mahmood, A. (2021). Variability of Temperature Extremes in Northwest Himalayas during Early 21st Century (No. EGU21-394). Copernicus Meetings. https://doi.org/10.5194/egusphere-egu21-394
  • Betts, R. A., Alfieri, L., Bradshaw, C., Caesar, J., Feyen, L., et al. (2018). Changes in climate extremes, fresh water availability and vulnerability to food insecurity projected at 1.5 C and 2 C global warming with a higher–resolution global climate model. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2119), 20160452. https://doi.org/10.1098/rsta.2016.0452
  • Bhatti, A. S., Wang, G., Ullah, W., Ullah, S., Fiifi Tawia Hagan, D., et al. (2020). Trend in extreme precipitation indices based on long term in situ precipitation records over Pakistan. Water, 12(3), 797. https://doi.org/10.3390/w12030797
  • Burhan, A. (2018). An analysis of climate change in Pakistan. Publisher: Scholar’s Press.
  • Burhan, A. and Shahid, M. (2017), Observed, simulated and projected extreme climate indices over Pakistan. Hamburg, Bedey Media GmbH. https://www.anchor-publishing.com/document/371678
  • Chaudhary, Q. U. Z. (2017). Climate change profile of Pakistan. The Asian Development Bank.
  • Chaudhary, Q. Z. and Rasul, G. (2004). Agro–climatic classification of Pakistan. Science Vision, 9(1), 59-66.
  • Khan, N., Shahid, S., Ismail, T., Ahmed, K. and Nawaz, N. (2019). Trends in heat wave related indices in Pakistan. Stochastic Environmental Research and Risk Assessment, 33(1), 287-302. https://doi.org/10.1007/s00477-018-1605-2
  • Mukherjee, S., Aadhar, S., Stone, D. and Mishra, V. (2018). Increase in extreme precipitation events under anthropogenic warming in India. Weather and Climate Extremes, 20, 45-53. https://doi.org/10.1016/j.wace.2018.03.005
  • Myhre, G., Alterskjær, K., Stjern, C.W. et al. (2019). Frequency of extreme precipitation increases extensively with event rareness under global warming. Scientific Reports, 9, 16063. https://doi.org/10.1038/s41598-019-52277-4
  • Qaisrani, A., Umar, M. A., Siyal, G. E. A. and Salik, K. M. (2018). What defines livelihood vulnerability in rural semi–arid areas? Evidence from Pakistan. Earth Systems and Environment, 2(3), 455-475. https://doi.org/10.1007/s41748-018-0059-5
  • Rehman, N., Adnan, M. and Ali, S. (2020). Future Extremes and Variability of Rainfall over Monsoon Region of Pakistan. Pakistan Journal of Meteorology, 14(28), 61-78.
  • Saddique, N., Khaliq, A. and Bernhofer, C. (2020). Trends in temperature and precipitation extremes in historical (1961–1990) and projected (2061–2090) periods in a data scarce mountain basin, northern Pakistan. Stochastic Environmental Research and Risk Assessment, 34(10), 1441-1455. https://doi.org/10.1007/s00477-020-01829-6
  • Saeed, F. and Athar, H. (2018). Assessment of simulated and projected climate change in Pakistan using IPCC AR4-based AOGCMs. Theoretical and Applied Climatology, 134(3-4), 967-980. https://doi.org/10.1007/s00704-017-2320-5
  • Sajjad, H. and Ghaffar, A. (2019). Observed, simulated and projected extreme climate indices over Pakistan in changing climate. Theoretical and Applied Climatology, 137(1), 255-281. https://doi.org/10.1007/s00704-018-2573-7
  • Saleem, F., Zeng, X., Hina, S. and Omer, A. (2021). Regional changes in extreme temperature records over Pakistan and their relation to Pacific variability. Atmospheric Research, 250, 105407. https://doi.org/10.1016/j.atmosres.2020.105407
  • Shultz, D. (2019). Extreme precipitation expected to increase with warming planet. Eos, 100. https://doi.org/10.1029/2019EO125869
  • Thrasher, B., Xiong, J., Wang, W., Melton, F., Michaelis, A. and Nemani, R. (2013). Downscaled climate projections suitable for resource management. Eos, Transactions American Geophysical Union, 94(37), 321-323. https://doi.org/10.1002/2013EO370002
  • Török, I., Croitoru, A. E. and Man, T. C. (2021). A new approach to assess the impact of extreme temperature conditions on social vulnerability. Natural Hazards and Earth System Sciences Discussions, 1-26. https://doi.org/10.5194/nhess-2021-45
  • Watanabe, T., Cullmann, J., Pathak, C. S., Turunen, M., Emami, K., Ghinassi, G. and Siddiqi, Y. (2018). Management of climatic extremes with focus on floods and droughts in agriculture. Irrigation and Drainage, 67(1), 29-42. https://doi.org/10.1002/ird.2204
  • World Commission on Dams. (2000). Tarbela Dam and related aspects of the Indus River Basin in Pakistan.
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