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Drought Assessment with the Community Land Model for 1951–2010 in East Asia

Author

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  • Myoung-Jin Um

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea)

  • Mun Mo Kim

    (Department of Civil Engineering, Shingu University, Seongnam-si, Gyeonggi-do 13174, Korea)

  • Yeonjoo Kim

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea)

  • Daeryong Park

    (Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Korea)

Abstract

Severe droughts have occurred in East Asia; however, observational hydroclimate data that covers the entire region is lacking. The objective of this study is to investigate drought assessment in East Asia. This study estimated three drought indices by generating hydroclimate variables using the Community Land Model (CLM). The results of the CLM were verified by comparison with Climatic Research Unit (CRU) data for precipitation and air temperature and the Global Runoff Data Centre (GRDC) data for runoff. Spatial and temporal variations in three drought severity indices, including the standardized precipitation evapotranspiration index (SPEI), the standardized runoff index (SRI), and the Standardized Soil Moisture Index (SSMI), in East Asia were estimated using the CLM output and compared with the SPEI in the CRU. This study classified drought frequency into four classes depending on the drought severity with 5-deg gapped longitude and latitude for 1951–2010 in East Asia and found that moderately dry (D2) and severely dry (D3) drought frequency classes matched well between the CLM and CRU data. The SPEI in the CLM and CRU data showed very similar frequency magnitudes and an increasing temporal trend. The SRI and SSMI frequencies for CLM also showed an increasing temporal trend compared to the SPEI frequency trend. The results of this study show that CLM outputs are reliable for drought analysis in East Asia. Furthermore, this study suggests the possibility of CLM application to other regions to generate hydroclimate data that is otherwise insufficient.

Suggested Citation

  • Myoung-Jin Um & Mun Mo Kim & Yeonjoo Kim & Daeryong Park, 2018. "Drought Assessment with the Community Land Model for 1951–2010 in East Asia," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:2100-:d:153433
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    References listed on IDEAS

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    1. Wen Wang & Ye Zhu & Rengui Xu & Jintao Liu, 2015. "Drought severity change in China during 1961–2012 indicated by SPI and SPEI," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2437-2451, February.
    2. Jane Qiu, 2010. "China drought highlights future climate threats," Nature, Nature, vol. 465(7295), pages 142-143, May.
    3. Nam, Won-Ho & Hayes, Michael J. & Svoboda, Mark D. & Tadesse, Tsegaye & Wilhite, Donald A., 2015. "Drought hazard assessment in the context of climate change for South Korea," Agricultural Water Management, Elsevier, vol. 160(C), pages 106-117.
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    Cited by:

    1. Xiaoming Kang & Liang Yan & Lijuan Cui & Xiaodong Zhang & Yanbin Hao & Haidong Wu & Yuan Zhang & Wei Li & Kerou Zhang & Zhongqing Yan & Yong Li & Jinzhi Wang, 2018. "Reduced Carbon Dioxide Sink and Methane Source under Extreme Drought Condition in an Alpine Peatland," Sustainability, MDPI, vol. 10(11), pages 1-15, November.

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