RCEMIP Scientific Objectives

RCEMIP was designed to address the following three themes:

  1. What is the response of clouds to warming and the climate sensitivity of RCE?
  2. What is the dependence of convective aggregation and tropical circulation regimes on temperature in RCE?
  3. What is the robustness of the RCE state, including the above results, across the spectrum of models?

These themes are related to two of the questions raised by Bony et al., 2015 as central to a better understanding of global and regional climate changes: What role does convection play in cloud feedbacks? and What role does convective aggregation play in climate?

While RCEMIP-I dictated common domain configurations, grid spacing, trace gas concentrations, insolation, and SST boundary conditions, it purposefully minimized the code changes (such as modifications to physical schemes) needed to run the simulations, both to ensure broad participation by the community and to reveal the true spread in RCE states using a model's “out-of-the-box” suite of physical schemes (Wing et al., 2018). As summarized in the prior section, several common behaviors emerged from RCEMIP-I despite the great diversity in model physics and numerics, providing strong evidence for fundamental physical mechanisms that are not dependent on the details of physical parameterizations. The model diversity also provided an opportunity to use simple theory to explain the intermodel spread (Wing and Singh, 2024). However, two other points that stand out in considering the RCEMIP-I results are (1) how strikingly large the spread in simulated RCE states is and (2) how strong of an imprint convective self-aggregation has on the climate state (Wing et al., 2020). In particular, the wide range in the degree of self-aggregation and the lack of consensus in its temperature dependence are barriers to understanding.

Our vision for RCEMIP was always that the initial simulations would serve as a starting point, but deep understanding would require performing additional simulations to address issues such as the robustness of the results to experimental design, the sensitivity to model physics and dynamics, and the impact of other factors such as ocean–atmosphere interactions or rotation. In considering possibilities for RCEMIP-II, we sought a protocol that follows the following four principles in the spirit of the design of RCEMIP-I:

  1. the ability to directly compare limited-area models with explicit convection and global climate models with parameterized convection;
  2. ease of implementation, to encourage the broadest possible participation;
  3. a continued investigation of the above three themes of RCEMIP while moving a step up the model hierarchy of complexity; and
  4. the provision of an external constraint on convection.

The mock-Walker configuration for RCEMIP-II follows the above philosophy. It is described in detail in the RCEMIP-II protocol paper.

AGU Special Collection:
Using radiative-convective equilibrium to understand convective organization, clouds, and tropical climate

Publications using RCEMIP simulations (Fill out this form to have your paper listed!)

O'Donnell, G. and A.A. Wing (2024): Precipitation Extremes and their Modulation by Convective Organization in RCEMIP, J. Adv. Model. Earth Syst., 16, e2024MS004535, doi:10.1029/2024MS004535.

Stauffer, C.L. and A.A. Wing (2024): How Does Organized Convection Impact Explicitly Resolved Cloud Feedbacks in the Radiative-Convective Equilibrium Model Comparison Project, J. Adv. Model. Earth Syst., 16, e2023MS003924, doi:10.1029/2023MS003924.

Wing, A.A., L.G. Silvers, and K.A. Reed (2024): RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project, Geosci. Model Dev., 17, 6195–6225, doi:10.5194/gmd-17-6195-2024.

Wing, A.A. and M.S. Singh (2024): Control of Stability and Relative Humidity in the Radiative-Convective Equilibrium Model Intercomparison Project, J. Adv. Model. Earth Syst., 16, e2023MS003914, doi:10.1029/2023MS003914.

Stauffer, C.L. and A.A. Wing (2023): Explicitly Resolved Cloud Feedbacks in the Radiative-Convective Equilibrium Model Intercomparison Project, J. Adv. Model. Earth Syst., 15, e2023MS003738, doi:10.1029/2023MS003738.

Mackie, A. and M.P. Byrne (2022): Effects of circulation on tropical cloud feedbacks in high-resolution simulations, J. Adv. Model. Earth Syst., 15, e2022MS003516, doi:10.1029/2022MS003516.

Silvers, L.G., K.A. Reed, and A.A. Wing (2023): The response of the large-scale tropical circulation to warming, J. Adv. Model. Earth Syst., 15, e2021MS002966, doi:10.1029/2021MS002966.

Pope, K., C.E. Holloway, T.R. Jones, T. Stein (2022): Radiation, Clouds, and Self-Aggregation in RCEMIP Simulations, J. Adv. Model. Earth Syst., doi:10.1029/2022MS003317.

Li, R.L., J.H.P. Studholme, A.V. Fedorov, and T. Storelvmo (2022): Precipitation efficiency constraint on climate change, Nat. Clim. Chang. 12, 642–648, doi:10.1038/s41558-022-01400-x.

Sokol, A. B. and D.L. Hartmann (2022): Congestus mode invigoration by convective aggregation in simulations of radiative-convective equilibrium, J. Adv. Model. Earth Syst., 14, e2022MS003045, doi:10.1029/2022MS003045.

Coppin, D. and R. Roehrig (2022): Convection self-aggregation in CNRM-CM6-1: Equilibrium and transition sensitivity to surface temperature, J. Adv. Model. Earth Syst., 14, e2022MS003064, doi:10.1029/2022MS003064.

Stauffer, C.L. and A.A. Wing (2022): Properties, Changes, and Controls of Deep-Convecting Clouds in Radiative-Convective Equilibrium, J. Adv. Model. Earth Syst., 14, e2021MS002917, doi:10.1029/2021MS002917.

Pope, K.N., C.E. Holloway, T.R. Jones, and T.H.M. Stein (2021): Cloud-radiation interactions and their contributions to convective self-aggregation. J. Adv. Model. Earth Syst., doi:10.1029/2021MS002535.

Bourdin, S., Kluft, L., & Stevens, B. (2021): Dependence of climate sensitivity on the given distribution of relative humidity. Geophys. Res. Lett. doi:10.1029/2021GL092462

Reed, K.A., L.G. Silvers, A.A. Wing, I.-K. Hu, and B. Medeiros (2021): Using radiative convective equilibrium to explore clouds and climate in the Community Atmosphere Model, J. Adv. Model. Earth Syst., 13, e2021MS002539, doi:10.1029/2021MS002539.

Becker, T. and A.A. Wing (2020): Understanding the extreme spread in climate sensitivity within the Radiative-Convective Equilibrium Model Intercomparison Project, J. Adv. Model. Earth Syst., 12, e2020MS002165, doi:10.1029/2020MS002165.

Wing, A.A., C.L. Stauffer, T. Becker, K.A. Reed, M.-S. Ahn, N.P. Arnold, S. Bony, M. Branson, G.H. Bryan, J.-P. Chaboureau, S.R. de Roode, K. Gayatri, C. Hohenegger, I.-K. Hu, F. Jansson, T.R. Jones, M. Khairoutdionv, D. Kim, Z.K. Martin, S. Matsugishi, B. Medeiros, H. Miura, Y. Moon, S.K. Müller, T. Ohno, M. Popp, T. Prabhakaran, D. Randall, R. Rios-Berrios, N. Rochetin, R. Roehrig, D.M. Romps, J.H. Ruppert, Jr., M. Satoh, L.G. Silvers, M.S. Singh, B. Stevens, L. Tomassini, C.C. van Heerwaarden, S. Wang, and M. Zhao (2020): Clouds and convective self-aggregation in a multi-model ensemble of radiative-convective equilibrium simulations, J. Adv. Model. Earth Syst., 12, e2020MS002138, doi:10.1029/2020MS002138.

Jenney, A.M., D.A. Randall, and M.D. Branson (2020): Understanding the response of tropical ascent to warming using an energy balance framework, J. Adv. Model. Earth Syst., 12, doi:10.1029/2020MS002056.

Mol, W.B., C.C. van Heerwaarden, and L. Schlemmer (2019): Surface moisture exchange under vanishing wind in simulations of idealized tropical convection. Geophys. Res. Lett., 46, 13602– 13609, doi:10.1029/2019GL085047.

Wing, A. A., K.A. Reed, M. Satoh, B. Stevens, S. Bony, and T. Ohno (2018): Radiative-Convective Equilibrium Model Intercomparison Project, Geosci. Model Dev., 11, 793-813, doi:10.5194/gmd-11-793-2018.

In the News

New Insights into Uncertainties About Earth’s Rising Temperature. 30 October 2020. Eos, 101, doi:10.1029/2020EO151039.
FSU researcher leads international project on how tropical clouds change with climate. 4 November 2020. FSU News.

Presentations about RCEMIP

Recorded Presentation at the Virtual 2020 AGU Fall Meeting

RCEMIP Update at 2024 CFMIP/CLIVAR Meeting

RCEMIP Update at 2022 CFMIP Meeting

RCEMIP Update at 2020 Virtual CFMIP Meeting

An Incomplete List of Presentations using RCEMIP simulations (Fill out this form to have your presentation listed!)

2024 CFMIP/CLIVAR Meeting on Clouds, Circulation and Climate, Boston, MA, 3-6 June 2024.

2023 Joint CFMP-GASS Meeting on Cloud, Precipitation, Circulation, and Climate Sensitivity, Paris, France, 9-13 July 2023.

Other 2023 Meetings

2022 CFMIP Meeting on Clouds, Preciptiation, Circulation, and Climate Sensitivity, Seattle, WA, 19-22 July 2022.

Other 2022 Meetings

34th AMS Conference on Hurricanes and Tropical Meteorology, Virtual, 10-14 May 2021.

2021 EGU General Assembly, Virtual, 19-30 April 2021.

Other 2021 Meetings

2020 Meetings

2019 CFMIP Meeting on Clouds, Preciptiation, Circulation, and Climate Sensitivity, Mykonos, Greece, 30 Sept - 4 Oct 2019.

UCP2019: Understanding Clouds and Precipitation, Berlin, Germany, 25 February - 1 March 2019.

Other 2019 Meetings

2018 AGU Fall Meeting, Washington, DC, 10-14 December 2018.