Outline

  • Abstract
  • Introduction
  • Regional Setting, Data and Methods
  • Results
  • Discussion and Conclusions
  • Acknowledgments
  • Author Contributions
  • Conflicts of Interest
  • References

رئوس مطالب

  • چكيده
  • کلیدواژه ها
  • 1.مقدمه
  • 2. موقعیت منطقه ای، مواد و روش ها
  • 2.1. مناطق طبیعی افغانستان
  • 2.11. هندوکش
  • 2.1.2 -دشت شمالی
  • 2.1.3. ارتفاعات مرکزی
  • 2.1.4 ارتفاعات شرقی (شرق)
  • 2.1.5 فلات جنوبی (جنوب)
  • 2.2 اطلاعات اقلیمی
  • 2.2.1 در دسترس بودن مستقیم مشاهدات هواشناسی
  • 2.2.2 اطلاعات بازآزمایی
  • 2.2.3 پیش‌بینی آب‌وهوا
  • 2.3 شاخص‌ها و روش‌های آماری
  • 2.3.1 شاخص‌ها
  • 2.3.2 تحلیل روند و تغییرات
  • 3. نتایج
  • 3.1 اعتبار سنجی مجدد
  • 3.2 اجرای مدل‌های اقلیمی
  • 3.3. تجزیه‌وتحلیل روند پیش‌بینی آب‌وهوا در دوره سال‌های 1951.2010
  • 3.4. تجزیه‌وتحلیل روند تمایلات آینده اقلیمی برای دوره زمانی 2006.2050 / 2099
  • 4. بحث و نتیجه گیری
  • 4.1 رضایت و عدم اطمینان نتایج

Abstract

Past and the projected future climate change in Afghanistan has been analyzed systematically and differentiated with respect to its different climate regions to gain some first quantitative insights into Afghanistan’s vulnerability to ongoing and future climate changes. For this purpose, temperature, precipitation and five additional climate indices for extremes and agriculture assessments (heavy precipitation; spring precipitation; growing season length (GSL), the Heat Wave Magnitude Index (HWMI); and the Standardized Precipitation Evapotranspiration Index (SPEI)) from the reanalysis data were examined for their consistency to identify changes in the past (data since 1950). For future changes (up to the year 2100), the same parameters were extracted from an ensemble of 12 downscaled regional climate models (RCM) of the Coordinated Regional Climate Downscaling Experiment (CORDEX)-South Asia simulations for low and high emission scenarios (Representative Concentration Pathways 4.5 and 8.5). In the past, the climatic changes were mainly characterized by a mean temperature increase above global level of 1.8 °C from 1950 to 2010; uncertainty with regard to reanalyzed rainfall data limited a thorough analysis of past changes. Climate models projected the temperature trend to accelerate in the future, depending strongly on the global carbon emissions (2006–2050 Representative Concentration Pathways 4.5/8.5: 1.7/2.3 °C; 2006–2099: 2.7/6.4 °C, respectively). Despite the high uncertainty with regard to precipitation projections, it became apparent that the increasing evapotranspiration is likely to exacerbate Afghanistan’s already existing water stress, including a very strong increase of frequency and magnitude of heat waves. Overall, the results show that in addition to the already extensive deficiency in adaptation to current climate conditions, the situation will be aggravated in the future, particularly in regard to water management and agriculture. Thus, the results of this study underline the importance of adequate adaptation to climate change in Afghanistan. This is even truer taking into account that GSL is projected to increase substantially by around 20 days on average until 2050, which might open the opportunity for extended agricultural husbandry or even additional harvests when water resources are properly managed.


4. Discussion and Conclusions

4.1. Robustness and Uncertainties of the Results

The validation using the 9-point filter or other interpolation-to-point techniques are inherently problematic. In this study, the area of the compared data of the nine grid cells is the mean of around 24,000 km2. The regional geographical setting of the weather station, including its altitude, is therefore not reflected adequately. The general physical patterns should be reproduced by the reanalysis but the magnitudes of local temperature and precipitation might differ, e.g., due to topographic characteristics of the weather station. For example, Faizabad is located in the Kokcha valley (Figure 2). Due to this lower location, temperatures are distinctly warmer than the mean of the surrounding mountainous area. Therefore, the temperature difference between the reanalysis and the measurements vary strongly but still show the same seasonal cycle. For stations in less orographic terrain, such as Kandahar, Heart and Gardez, the validation shows a more adequate performance, observed and reanalyzed temperatures being almost equal. This means that in terms of temperature, the reanalysis data at its given scale is quite reliable.

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