IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i6p2100-d153433.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/6/2100/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/6/2100/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jane Qiu, 2010. "China drought highlights future climate threats," Nature, Nature, vol. 465(7295), pages 142-143, May.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mansoor Ahmed & Ghulam Hussain Dars & Suhail Ahmed & Nir Y. Krakauer, 2023. "Analyzing drought trends over Sindh Province, Pakistan," 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. 119(1), pages 643-661, October.
    2. Chujie Gao & Haishan Chen & Shanlei Sun & Victor Ongoma & Wenjian Hua & Hedi Ma & Bei Xu & Yang Li, 2018. "A potential predictor of multi-season droughts in Southwest China: soil moisture and its memory," 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. 91(2), pages 553-566, March.
    3. Rengui Jiang & Jiancang Xie & Hailong He & Jungang Luo & Jiwei Zhu, 2015. "Use of four drought indices for evaluating drought characteristics under climate change in Shaanxi, China: 1951–2012," 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 2885-2903, February.
    4. Moonju Kim & Befekadu Chemere & Kyungil Sung, 2019. "Effect of Heavy Rainfall Events on the Dry Matter Yield Trend of Whole Crop Maize ( Zea mays L.)," Agriculture, MDPI, vol. 9(4), pages 1-11, April.
    5. Kaiwen Li & Ming Wang & Kai Liu, 2021. "The Study on Compound Drought and Heatwave Events in China Using Complex Networks," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    6. Rui Zhang & Taotao Chen & Daocai Chi, 2020. "Global Sensitivity Analysis of the Standardized Precipitation Evapotranspiration Index at Different Time Scales in Jilin Province, China," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    7. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Omolola M. Adisa & Muthoni Masinde & Joel O. Botai & Christina M. Botai, 2020. "Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    9. Trnka, Miroslav & Vizina, Adam & Hanel, Martin & Balek, Jan & Fischer, Milan & Hlavinka, Petr & Semerádová, Daniela & Štěpánek, Petr & Zahradníček, Pavel & Skalák, Petr & Eitzinger, Josef & Dubrovský,, 2022. "Increasing available water capacity as a factor for increasing drought resilience or potential conflict over water resources under present and future climate conditions," Agricultural Water Management, Elsevier, vol. 264(C).
    10. Huafeng Xu & Kexin Xu & Yingjie Yang, 2021. "Risk assessment model of agricultural drought disaster based on grey matter-element analysis theory," 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. 107(3), pages 2693-2707, July.
    11. Moonyoung Lee & Heejin An & Jiwan Lee & Myoung-Jin Um & Younghun Jung & Kewtae Kim & Kichul Jung & Seongjoon Kim & Daeryong Park, 2023. "Spatiotemporal Variability of Regional Rainfall Frequencies in South Korea for Different Periods," Sustainability, MDPI, vol. 15(24), pages 1-19, December.
    12. Showmitra Kumar Sarkar & Saifullah Bin Ansar & Khondaker Mohammed Mohiuddin Ekram & Mehedi Hasan Khan & Swapan Talukdar & Mohd Waseem Naikoo & Abu Reza Towfiqul Islam & Atiqur Rahman & Amir Mosavi, 2022. "Developing Robust Flood Susceptibility Model with Small Numbers of Parameters in Highly Fertile Regions of Northwest Bangladesh for Sustainable Flood and Agriculture Management," Sustainability, MDPI, vol. 14(7), pages 1-23, March.
    13. Emile A. Frison & Jeremy Cherfas & Toby Hodgkin, 2011. "Agricultural Biodiversity Is Essential for a Sustainable Improvement in Food and Nutrition Security," Sustainability, MDPI, vol. 3(1), pages 1-16, January.
    14. Demetrios E. Tsesmelis & Christos A. Karavitis & Panagiotis D. Oikonomou & Stavros Alexandris & Constantinos Kosmas, 2018. "Assessment of the Vulnerability to Drought and Desertification Characteristics Using the Standardized Drought Vulnerability Index (SDVI) and the Environmentally Sensitive Areas Index (ESAI)," Resources, MDPI, vol. 8(1), pages 1-19, December.
    15. Kang, Hyunwoo & Sridhar, Venkataramana & Mills, Bradford F. & Hession, W. Cully & Ogejo, Jactone A., 2019. "Economy-wide climate change impacts on green water droughts based on the hydrologic simulations," Agricultural Systems, Elsevier, vol. 171(C), pages 76-88.
    16. Robinson Ploszai & Miriam Rita Moro Mine & Daniel Henrique Marco Detzel, 2022. "An Analysis of Non-stationary Drought Conditions in Parana State Based on Climate Change Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3401-3415, August.
    17. Ameneh Mianabadi & Hashem Derakhshan & Kamran Davary & Seyed Majid Hasheminia & Markus Hrachowitz, 2020. "A Novel Idea for Groundwater Resource Management during Megadrought Events," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1743-1755, March.
    18. Varsha Pandey & Prashant K Srivastava & Sudhir K Singh & George P. Petropoulos & Rajesh Kumar Mall, 2021. "Drought Identification and Trend Analysis Using Long-Term CHIRPS Satellite Precipitation Product in Bundelkhand, India," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    19. Qun Huang & Zhandong Sun & Christian Opp & Tom Lotz & Jiahu Jiang & Xijun Lai, 2014. "Hydrological Drought at Dongting Lake: Its Detection, Characterization, and Challenges Associated With Three Gorges Dam in Central Yangtze, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5377-5388, December.
    20. Mohammed Sanusi Shiru & Shamsuddin Shahid & Noraliani Alias & Eun-Sung Chung, 2018. "Trend Analysis of Droughts during Crop Growing Seasons of Nigeria," Sustainability, MDPI, vol. 10(3), pages 1-13, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:2100-:d:153433. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.