Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4155-2018
https://doi.org/10.5194/hess-22-4155-2018
Research article
 | 
07 Aug 2018
Research article |  | 07 Aug 2018

Convective suppression before and during the United States Northern Great Plains flash drought of 2017

Tobias Gerken, Gabriel T. Bromley, Benjamin L. Ruddell, Skylar Williams, and Paul C. Stoy

Related authors

Application of PRIM for understanding patterns in carbon dioxide model-observation differences
Tobias Gerken, Kenneth J. Davis, Klaus Keller, and Sha Feng
EGUsphere, https://doi.org/10.5194/egusphere-2025-341,https://doi.org/10.5194/egusphere-2025-341, 2025
Short summary
Methane efflux from an American bison herd
Paul C. Stoy, Adam A. Cook, John E. Dore, Natascha Kljun, William Kleindl, E. N. Jack Brookshire, and Tobias Gerken
Biogeosciences, 18, 961–975, https://doi.org/10.5194/bg-18-961-2021,https://doi.org/10.5194/bg-18-961-2021, 2021
Short summary
Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities
Paul C. Stoy, Tarek S. El-Madany, Joshua B. Fisher, Pierre Gentine, Tobias Gerken, Stephen P. Good, Anne Klosterhalfen, Shuguang Liu, Diego G. Miralles, Oscar Perez-Priego, Angela J. Rigden, Todd H. Skaggs, Georg Wohlfahrt, Ray G. Anderson, A. Miriam J. Coenders-Gerrits, Martin Jung, Wouter H. Maes, Ivan Mammarella, Matthias Mauder, Mirco Migliavacca, Jacob A. Nelson, Rafael Poyatos, Markus Reichstein, Russell L. Scott, and Sebastian Wolf
Biogeosciences, 16, 3747–3775, https://doi.org/10.5194/bg-16-3747-2019,https://doi.org/10.5194/bg-16-3747-2019, 2019
Short summary
Pasture degradation modifies the water and carbon cycles of the Tibetan highlands
W. Babel, T. Biermann, H. Coners, E. Falge, E. Seeber, J. Ingrisch, P.-M. Schleuß, T. Gerken, J. Leonbacher, T. Leipold, S. Willinghöfer, K. Schützenmeister, O. Shibistova, L. Becker, S. Hafner, S. Spielvogel, X. Li, X. Xu, Y. Sun, L. Zhang, Y. Yang, Y. Ma, K. Wesche, H.-F. Graf, C. Leuschner, G. Guggenberger, Y. Kuzyakov, G. Miehe, and T. Foken
Biogeosciences, 11, 6633–6656, https://doi.org/10.5194/bg-11-6633-2014,https://doi.org/10.5194/bg-11-6633-2014, 2014

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Implementation of global soil databases in the Noah-MP model and the effects on simulated mean and extreme soil hydrothermal changes
Kazeem Abiodun Ishola, Gerald Mills, Ankur Prabhat Sati, Benjamin Obe, Matthias Demuzere, Deepak Upreti, Gourav Misra, Paul Lewis, Daire Walsh, Tim McCarthy, and Rowan Fealy
Hydrol. Earth Syst. Sci., 29, 2551–2582, https://doi.org/10.5194/hess-29-2551-2025,https://doi.org/10.5194/hess-29-2551-2025, 2025
Short summary
Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts
Simon Moulds, Louise Slater, Louise Arnal, and Andrew W. Wood
Hydrol. Earth Syst. Sci., 29, 2393–2406, https://doi.org/10.5194/hess-29-2393-2025,https://doi.org/10.5194/hess-29-2393-2025, 2025
Short summary
Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting
Peyman Abbaszadeh, Fatemeh Gholizadeh, Keyhan Gavahi, and Hamid Moradkhani
Hydrol. Earth Syst. Sci., 29, 2407–2427, https://doi.org/10.5194/hess-29-2407-2025,https://doi.org/10.5194/hess-29-2407-2025, 2025
Short summary
Enhanced evaluation of hourly and daily extreme precipitation in Norway from convection-permitting models at regional and local scales
Kun Xie, Lu Li, Hua Chen, Stephanie Mayer, Andreas Dobler, Chong-Yu Xu, and Ozan Mert Göktürk
Hydrol. Earth Syst. Sci., 29, 2133–2152, https://doi.org/10.5194/hess-29-2133-2025,https://doi.org/10.5194/hess-29-2133-2025, 2025
Short summary
Deep-learning-based sub-seasonal precipitation and streamflow ensemble forecasting over the source region of the Yangtze River
Ningpeng Dong, Haoran Hao, Mingxiang Yang, Jianhui Wei, Shiqin Xu, and Harald Kunstmann
Hydrol. Earth Syst. Sci., 29, 2023–2042, https://doi.org/10.5194/hess-29-2023-2025,https://doi.org/10.5194/hess-29-2023-2025, 2025
Short summary

Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration – Guidelines for computing crop water requirements, Tech. Rep. 56, Food and Agricultural Organization, Rome, available at: http://www.fao.org/docrep/X0490E/x0490e00.htm (last access: August 2018), 1998. a, b, c
Alley, W. M.: The Palmer Drought Severity Index: Limitations and assumptions, J. Climate Appl. Meteor., 23, 1100–1109, https://doi.org/10.1175/1520-0450(1984)023<1100:TPDSIL>2.0.CO;2, 1984. a
Betts, A. K., Desjardins, R., Worth, D., and Cerkowniak, D.: Impact of land use change on the diurnal cycle climate of the Canadian Prairies, J. Geophys. Res.-Atmos., 118, 11996–12011, https://doi.org/10.1002/2013JD020717, 2013. a
Betts, A. K., Desjardins, R., Worth, D., and Beckage, B.: Climate coupling between temperature, humidity, precipitation, and cloud cover over the Canadian Prairies, J. Geophys. Res.-Atmos., 119, 2014JD022511, https://doi.org/10.1002/2014JD022511, 2014. a
Carbone, R. E. and Tuttle, J. D.: Rainfall occurrence in the U.S. warm season: The diurnal cycle, J. Climate, 21, 4132–4146, https://doi.org/10.1175/2008JCLI2275.1, 2008. a, b
Download
Short summary
An unprecedented flash drought took place across parts of the US Northern Great Plains and Canadian Prairie Provinces during the summer of 2017 that in some areas was the worst in recorded history. We show that this drought was preceded by a breakdown of land–atmosphere coupling, reducing the likelihood of convective precipitation. It may be useful to monitor land–atmosphere coupling to track and potentially forecast drought development.
Share