Articles | Volume 4, issue 4
https://doi.org/10.5194/wcd-4-1111-2023
https://doi.org/10.5194/wcd-4-1111-2023
Research article
 | 
14 Dec 2023
Research article |  | 14 Dec 2023

Understanding the dependence of mean precipitation on convective treatment and horizontal resolution in tropical aquachannel experiments

Hyunju Jung, Peter Knippertz, Yvonne Ruckstuhl, Robert Redl, Tijana Janjic, and Corinna Hoose

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Cited articles

Arnold, N. P. and Randall, D. A.: Global-scale convective aggregation: Implications for the Madden-Julian Oscillation, J. Adv. Model. Earth Sy., 7, 1499–1518, https://doi.org/10.1002/2015MS000498, 2015. a
Bechtold, P.: Atmospheric moist convection, Meteorological Training Course Lecture Series, ECMWF, https://www.ecmwf.int/en/elibrary/79885-atmospheric-moist-convection (last access: 29 November 2023), 2017. a
Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F., and Balsamo, G.: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales, Q. J. Roy. Meteor. Soc., 134, 1337–1351, https://doi.org/10.1002/qj.289, 2008. a, b
Becker, T., Bechtold, P., and Sandu, I.: Characteristics of convective precipitation over tropical Africa in storm-resolving global simulations, Q. J. Roy. Meteor. Soc., 741, 4388–4407, https://doi.org/10.1002/qj.4185, 2021. a, b, c
Benedict, J. J., Medeiros, B., Clement, A. C., and Pendergrass, A. G.: Sensitivities of the hydrologic cycle to model physics, grid resolution, and ocean type in the aquaplanet Community Atmosphere Model, J. Adv. Model. Earth Sy., 9, 1307–1324, https://doi.org/10.1002/2016MS000891, 2017. a
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Short summary
A narrow rainfall belt in the tropics is an important feature for large-scale circulations and the global water cycle. The accurate simulation of this rainfall feature has been a long-standing problem, with the reasons behind that unclear. We present a novel diagnostic tool that allows us to disentangle processes important for rainfall, which changes due to modifications in model. Using our diagnostic tool, one can potentially identify sources of uncertainty in weather and climate models.