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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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. 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.
    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. 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.
    8. 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.
    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.
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    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.

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