EGU23-4150
https://doi.org/10.5194/egusphere-egu23-4150
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

New GSRM global warming simulations and active sensors reveal robust changes of tropical convergence zones in cloud ice space

Maximilien Bolot1, Lucas Harris2, Kai-Yuan Cheng1, Peter Blossey3, Christopher Bretherton4, Spencer Clark2,4, Alex Kaltenbaugh2,5, Timothy Merlis1, Linjiong Zhou1,2, and Stephan Fueglistaler1
Maximilien Bolot et al.
  • 1Program in Atmospheric and Oceanic Sciences, Princeton University, NJ, USA
  • 2NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
  • 3Atmospheric Sciences, University of Washington, Seattle, WA, USA
  • 4Allen Institute for Artificial Intelligence, Seattle, WA, USA
  • 5University Corporation for Atmospheric Research, Boulder, CO, USA

Change of the intertropical convergence zone (ITCZ) with global warming has important consequences for the regulation of the tropical climate and for future precipitation projections. Most of the volume of the ITCZ is filled with ice associated with convective anvils, which opens the perspective of using the response of ice clouds to study changes of the tropical convergence zones with global warming. Past studies have shown a decrease of tropical high-cloud fraction with surface warming, whereby the response of anvil clouds is used to interpret the response of ice clouds as a whole. However, tropical clouds organize over a very wide range of scales, meaning that the response of ice clouds is more complex. In particular, precipitating deep convection may represent a small volume of total cloudiness, but it concentrates most of the ascending motion in the tropics and is therefore of crucial importance for the dynamics. Here we show how the high resolution in next generation convection-resolving climate models and in observations can be leveraged to directly measure the response of precipitating deep convection with surface warming in the ice signal. For this purpose, we use the first year-long simulations of global warming ever performed with a Global Storm Resolving Model (GSRM) at 3 km resolution. These simulations use the eXperimental System for High-resolution prediction on Earth-to-Local Domains (X-SHiELD), developed at the Geophysical Fluid Dynamics Laboratory (GFDL). By tracking the response of tropical clouds to surface warming from the response of ice water path (IWP), the vertical integral of ice mixing ratio, we show that the response of precipitating deep convection can be identified at high resolution and that this response, marked by an increase in frequency of very deep convective cores and a decrease in frequency of more moderate convection, is robust in model and active sensor observations. We discuss this result and show how it promotes a simple view of the changes of tropical convergence zones in ice-based coordinates.

How to cite: Bolot, M., Harris, L., Cheng, K.-Y., Blossey, P., Bretherton, C., Clark, S., Kaltenbaugh, A., Merlis, T., Zhou, L., and Fueglistaler, S.: New GSRM global warming simulations and active sensors reveal robust changes of tropical convergence zones in cloud ice space, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4150, https://doi.org/10.5194/egusphere-egu23-4150, 2023.