IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v243y2021ics0378377419323406.html
   My bibliography  Save this article

Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit

Author

Listed:
  • Hong, Minki
  • Lee, Sang-Hyun
  • Lee, Seung-Jae
  • Choi, Jin-Yong

Abstract

We discussed the applicability of high-resolution meteorological data simulated by the NCAM-Weather Research and Forecasting (NCAM-WRF) model to investigate spatially distributed soil-moisture deficits in site-scale farmland areas. A gridded soil water budget model was developed to utilize the 90 m NCAM-WRF meteorological data to predict soil moisture content (SMC) at multiple depths. The applicability of the NCAM-WRF climatic variables to predict SMC was evaluated by comparing the SMC estimates with in-situ observations at the monitoring site. We used the Quantile Mapping (QM) method to correct the biases of NCAM-WRF precipitation outputs. The SMC estimates derived from the newly developed soil water budget model showed a good agreement with observations, and we proved that the bias-corrected NCAM-WRF precipitation data could improve the predictability of the temporal evolution of SMCs. For characterizing agricultural drought during the crop growing season, we presented a novel approach to estimate the magnitude, duration, and severity of agricultural drought events based on crop's critical pressure head. We mapped the distribution of SMC, soil matric potential (SMP), and drought severity at the 90-m resolution, and the results showed that applying the NCAM-WRF climatic variables to the modeling of SMC/SMP profiles can lead to drought characterization on site-scale while accounting for the spatial variability of rainfall and other climatic variables.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:243:y:2021:i:c:s0378377419323406
    DOI: 10.1016/j.agwat.2020.106494
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419323406
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2020.106494?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Panigrahi, B. & Panda, Sudhindra N., 2003. "Field test of a soil water balance simulation model," Agricultural Water Management, Elsevier, vol. 58(3), pages 223-240, February.
    2. Nishat, S. & Guo, Y. & Baetz, B.W., 2007. "Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 53-63, August.
    3. Aiguo Dai, 2013. "Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(1), pages 52-58, January.
    4. Aiguo Dai, 2013. "Erratum: Increasing drought under global warming in observations and models," Nature Climate Change, Nature, vol. 3(2), pages 171-171, February.
    5. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
    6. Yang, Huicai & Wang, Huixiao & Fu, Guobin & Yan, Haiming & Zhao, Panpan & Ma, Meihong, 2017. "A modified soil water deficit index (MSWDI) for agricultural drought monitoring: Case study of Songnen Plain, China," Agricultural Water Management, Elsevier, vol. 194(C), pages 125-138.
    7. Keshavarz, Mohammad Reza & Vazifedoust, Majid & Alizadeh, Amin, 2014. "Drought monitoring using a Soil Wetness Deficit Index (SWDI) derived from MODIS satellite data," Agricultural Water Management, Elsevier, vol. 132(C), pages 37-45.
    8. 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.
    9. Thompson, R.B. & Gallardo, M. & Valdez, L.C. & Fernandez, M.D., 2007. "Using plant water status to define threshold values for irrigation management of vegetable crops using soil moisture sensors," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 147-158, March.
    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. Seoyeon Lee & Seung-Jae Lee & Jung-Hyuk Kang & Eun-Suk Jang, 2021. "Spatial and Temporal Variations in Atmospheric Ventilation Index Coupled with Particulate Matter Concentration in South Korea," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    2. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).
    3. Dejene W. Sintayehu & Asfaw Kebede Kassa & Negash Tessema & Bekele Girma & Sintayehu Alemayehu & Jemal Yousuf Hassen, 2023. "Drought Characterization and Potential of Nature-Based Solutions for Drought Risk Mitigation in Eastern Ethiopia," Sustainability, MDPI, vol. 15(15), pages 1-22, July.
    4. Jeong-Hwa Cho & In-Bok Lee & Sang-Yeon Lee & Se-Jun Park & Deuk-Young Jeong & Cristina Decano-Valentin & Jun-Gyu Kim & Young-Bae Choi & Hyo-Hyeog Jeong & Uk-Hyeon Yeo & Seung-Jae Lee, 2022. "Development of Heat Stress Forecasting System in Mechanically Ventilated Broiler House Using Dynamic Energy Simulation," Agriculture, MDPI, vol. 12(10), pages 1-26, October.

    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. Shan Jiang & Jian Zhou & Guojie Wang & Qigen Lin & Ziyan Chen & Yanjun Wang & Buda Su, 2022. "Cropland Exposed to Drought Is Overestimated without Considering the CO 2 Effect in the Arid Climatic Region of China," Land, MDPI, vol. 11(6), pages 1-21, June.
    2. 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).
    3. Ding, Yugang & Xu, Jiangmin, 2023. "Global vulnerability of agricultural commodities to climate risk: Evidence from satellite data," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 669-687.
    4. Weili Duan & Bin He & Daniel Nover & Jingli Fan & Guishan Yang & Wen Chen & Huifang Meng & Chuanming Liu, 2016. "Floods and associated socioeconomic damages in China over the last century," 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. 82(1), pages 401-413, May.
    5. Margaret Sugg & Jennifer Runkle & Ronnie Leeper & Hannah Bagli & Andrew Golden & Leah Hart Handwerger & Tatiana Magee & Camila Moreno & Rhiannon Reed-Kelly & Michelle Taylor & Sarah Woolard, 2020. "A scoping review of drought impacts on health and society in North America," Climatic Change, Springer, vol. 162(3), pages 1177-1195, October.
    6. Huynh, Thanh D. & Nguyen, Thu Ha & Truong, Cameron, 2020. "Climate risk: The price of drought," Journal of Corporate Finance, Elsevier, vol. 65(C).
    7. Liping Jia & Yi He & Wanqing Liu & Yaru Zhang & Yanlin Li, 2023. "Response of Photosynthetic Efficiency to Extreme Drought and Its Influencing Factors in Southwest China," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    8. Subhasis Mitra & Puneet Srivastava, 2017. "Spatiotemporal variability of meteorological droughts in southeastern USA," 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. 86(3), pages 1007-1038, April.
    9. 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.
    10. Jenq-Tzong Shiau & Jia-Wei Lin, 2016. "Clustering Quantile Regression-Based Drought Trends in Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1053-1069, February.
    11. Alen Shrestha & Md Mafuzur Rahaman & Ajay Kalra & Rohit Jogineedi & Pankaj Maheshwari, 2020. "Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India," Forecasting, MDPI, vol. 2(2), pages 1-26, April.
    12. Panagiotis D. Oikonomou & Christos A. Karavitis & Demetrios E. Tsesmelis & Elpida Kolokytha & Rodrigo Maia, 2020. "Drought Characteristics Assessment in Europe over the Past 50 Years," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4757-4772, December.
    13. Lingkui Meng & Ting Dong & Wen Zhang, 2016. "Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data," 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. 80(2), pages 1135-1152, January.
    14. Lingkui Meng & Ting Dong & Wen Zhang, 2016. "Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data," 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. 80(2), pages 1135-1152, January.
    15. Jale Amanuel Dufera & Tewodros Addisu Yate & Tadesse Tujuba Kenea, 2023. "Spatiotemporal analysis of drought in Oromia regional state of Ethiopia over the period 1989 to 2019," 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. 117(2), pages 1569-1609, June.
    16. Jinhua Wen & Yian Hua & Chenkai Cai & Shiwu Wang & Helong Wang & Xinyan Zhou & Jian Huang & Jianqun Wang, 2023. "Probabilistic Forecast and Risk Assessment of Flash Droughts Based on Numeric Weather Forecast: A Case Study in Zhejiang, China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    17. Anna Jędrejek & Rafał Pudełko, 2023. "Exploring the Potential Use of Sentinel-1 and 2 Satellite Imagery for Monitoring Winter Wheat Growth under Agricultural Drought Conditions in North-Western Poland," Agriculture, MDPI, vol. 13(9), pages 1-17, September.
    18. 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.
    19. Ashenafi Yimam Kassaye & Guangcheng Shao & Xiaojun Wang & Shiqing Wu, 2021. "Quantification of drought severity change in Ethiopia during 1952–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5096-5121, April.
    20. Gilles Dufrénot & William Ginn & Marc Pourroy, 2023. "ENSO Climate Patterns on Global Economic Conditions," AMSE Working Papers 2308, Aix-Marseille School of Economics, France.

    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:eee:agiwat:v:243:y:2021:i:c:s0378377419323406. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.