Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-1827-2021
https://doi.org/10.5194/hess-25-1827-2021
Research article
 | 
09 Apr 2021
Research article |  | 09 Apr 2021

Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields

Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, and Justin Sheffield

Related authors

A comprehensive assessment of in situ and remote sensing soil moisture data assimilation in the APSIM model for improving agricultural forecasting across the US Midwest
Marissa Kivi, Noemi Vergopolan, and Hamze Dokoohaki
Hydrol. Earth Syst. Sci., 27, 1173–1199, https://doi.org/10.5194/hess-27-1173-2023,https://doi.org/10.5194/hess-27-1173-2023, 2023
Short summary
HydroBlocks v0.2: enabling a field-scale two-way coupling between the land surface and river networks in Earth system models
Nathaniel W. Chaney, Laura Torres-Rojas, Noemi Vergopolan, and Colby K. Fisher
Geosci. Model Dev., 14, 6813–6832, https://doi.org/10.5194/gmd-14-6813-2021,https://doi.org/10.5194/gmd-14-6813-2021, 2021
Short summary
Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors
Hylke E. Beck, Ming Pan, Diego G. Miralles, Rolf H. Reichle, Wouter A. Dorigo, Sebastian Hahn, Justin Sheffield, Lanka Karthikeyan, Gianpaolo Balsamo, Robert M. Parinussa, Albert I. J. M. van Dijk, Jinyang Du, John S. Kimball, Noemi Vergopolan, and Eric F. Wood
Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021,https://doi.org/10.5194/hess-25-17-2021, 2021
Short summary
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
Hylke E. Beck, Noemi Vergopolan, Ming Pan, Vincenzo Levizzani, Albert I. J. M. van Dijk, Graham P. Weedon, Luca Brocca, Florian Pappenberger, George J. Huffman, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 6201–6217, https://doi.org/10.5194/hess-21-6201-2017,https://doi.org/10.5194/hess-21-6201-2017, 2017
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
Process-based three-layer synergistic optimal-allocation model for complex water resource systems considering reclaimed water
Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
Hydrol. Earth Syst. Sci., 28, 1325–1350, https://doi.org/10.5194/hess-28-1325-2024,https://doi.org/10.5194/hess-28-1325-2024, 2024
Short summary
Joint optimal operation of the South-to-North Water Diversion Project considering the evenness of water deficit
Bing-Yi Zhou, Guo-Hua Fang, Xin Li, Jian Zhou, and Hua-Yu Zhong
Hydrol. Earth Syst. Sci., 28, 817–832, https://doi.org/10.5194/hess-28-817-2024,https://doi.org/10.5194/hess-28-817-2024, 2024
Short summary
Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management
Tossapol Phoophiwfa, Prapawan Chomphuwiset, Thanawan Prahadchai, Jeong-Soo Park, Arthit Apichottanakul, Watchara Theppang, and Piyapatr Busababodhin
Hydrol. Earth Syst. Sci., 28, 801–816, https://doi.org/10.5194/hess-28-801-2024,https://doi.org/10.5194/hess-28-801-2024, 2024
Short summary
How to account for irrigation withdrawals in a watershed model
Elisabeth Brochet, Youen Grusson, Sabine Sauvage, Ludovic Lhuissier, and Valérie Demarez
Hydrol. Earth Syst. Sci., 28, 49–64, https://doi.org/10.5194/hess-28-49-2024,https://doi.org/10.5194/hess-28-49-2024, 2024
Short summary
Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)
Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023,https://doi.org/10.5194/hess-27-4057-2023, 2023
Short summary

Cited articles

Adegoke, J. O. and Carleton, A. M.: Relations between Soil Moisture and Satellite Vegetation Indices in the U.S. Corn Belt, J. Hydrometeorol., 3, 395–405, https://doi.org/10.1175/1525-7541(2002)003<0395:rbsmas>2.0.co;2, 2002. a
Aghighi, H., Azadbakht, M., Ashourloo, D., Shahrabi, H. S., and Radiom, S.: Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI, IEEE J. Sel. Top. Appl., 11, 4563–4577, https://doi.org/10.1109/jstars.2018.2823361, 2018. a
Alfani, F., Arslan, A., McCarthy, N., Cavatassi, R., and Sitko, N.: Climate-change vulnerability in rural Zambia: the impact of an El Niño-induced shock on income and productivity, available at: http://www.fao.org/3/ca3255en/CA3255EN.pdf (last access: 18 May 2020), 2019. a, b, c, d
Archer, K. J. and Kimes, R. V.: Empirical characterization of random forest variable importance measures, Comput. Stat. Data An., 52, 2249–2260, https://doi.org/10.1016/j.csda.2007.08.015, 2008. a, b
Azzari, G., Jain, M., and Lobell, D. B.: Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries, Remote Sens. Environ., 202, 129–141, https://doi.org/10.1016/j.rse.2017.04.014, 2017. a, b
Download
Short summary
Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.