RCEMIP-II Experimental Design
RCEMIP-II consists of "mock-Walker" experiments that are identical to the RCEMIP-I RCE_large simulations except for a prescribed SST pattern. For more details, see the protocol paper, published at GMD: 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
For CRMs on a cartesian rectangular domain of approximately 6000 km x 400 km,
$SST(x) = \langle SST\rangle - \frac{\Delta SST}{2}cos\left(\frac{2\pi x}{L_x}\right),$
where $\langle SST\rangle$ is the mean $SST$, $\Delta SST$ is the difference between the maximum $SST$ and the minimum $SST$, $x$ is the horizontal position along the long axis, and $L_x$ is the domain length. This sets the wavelength of the SST pattern equal to $L_x$ and places the maximum $SST$ at $L_x/2$. Simulations should be run for 200 days.
For GCMs on a sphere with real Earth radius,
$SST(\phi) = \langle SST\rangle + \frac{\Delta SST}{2}cos\left(\frac{360^\circ \phi}{\lambda}\right),$
where $\langle SST\rangle$ is the mean $SST$, $\Delta SST$ is the difference between the maximum $SST$ and the minimum $SST$, $\phi$ is latitude in degrees, and $\lambda = 54^\circ$ yields a wavelength of 6004.53 km (for the wavelength centered on the equator), to approximately match the CRM configuration. Simulations should be run for 3 years.
For GCRMs on a sphere with reduced Earth radius of $R_E/n$, where $R_E$ is the real Earth radius,
$SST(\phi) = \langle SST\rangle + \frac{\Delta SST}{2}cos\left(\frac{360^\circ \phi}{\lambda}\right),$
where $\langle SST\rangle$ is the mean $SST$, $\Delta SST$ is the difference between the maximum $SST$ and the minimum $SST$, $\phi$ is latitude in degrees. For $n = \pi R_e/6000 km$, which yields a radius of $R_E/n \approx R_E/3.336$, $\lambda = 180^{\circ}$ corresponds to distance of 6000 km, to match the CRM configuration. If a smaller Earth radius of $R_E/4$ is used, as was used by some GCRMs in Phase 1, $\lambda = 180^{\circ}$ corresponds to a distance of approximately 5000 km. Smaller Earth radii than this are not recommended. Simulations should be run for 200 days.
Five experiments are to be performed with different values of $\langle SST\rangle$ and $\Delta SST$:
- $\langle SST\rangle = 295 K$, $\Delta SST = 1.25 K$
- $\langle SST\rangle = 300 K$, $\Delta SST = 0.625 K$
- $\langle SST\rangle = 300 K$, $\Delta SST = 1.25 K$
- $\langle SST\rangle = 300 K$, $\Delta SST = 2.5 K$
- $\langle SST\rangle = 305 K$, $\Delta SST = 1.25 K$
RCEMIP-II Output
The standardized RCEMIP-II output is hosted by the German Climate Computing Center (DKRZ) and is publicly available at http://hdl.handle.net/21.14101/b2dc0b0d-fa7e-4149-af65-a8d831390427. In addition to the raw data, several post-processed domain- and time-average statistics are available in the A-Statistics folder as .csv files. We recommend reviewing the list of known bugs and inconsistencies with the RCEMIP protocol, which can be found in the A-README-BEFORE-DOWNLOAD folder.
Please let us know that you are using the RCEMIP data by filling out this form. If you use RCEMIP-II data in a publication, we ask that you cite the RCEMIP-II protocol paper (Wing et al. 2024) and the RCEMIP-II overview paper (O'Donnell et al. 2026). Please also use the following acknowledgement statement:
This work used resources of the Deutsches Klimarechenzentrum (DKRZ) under project ID mh1090. We thank the DKRZ for hosting the standardized RCEMIP-II data, which is publicly available at http://hdl.handle.net/21.14101/b2dc0b0d-fa7e-4149-af65-a8d831390427.
RCEMIP-II Contributing Models
"Model Name/Version" links to the citation for the model, "Model Abbreviation" is the abbreviation used in the DKRZ Swift Cloud and links to the RCEMIP model documentation form for the model.
| Model Name/Version | Model Abbreviation | Contributed by |
|---|---|---|
| Community Atmosphere Model version 6 | CAM6 | Levi Silvers (Colorado State Univ.), Kevin Reed (Stony Brook Univ.) | CNRM-CM6-1 | CNRM-CM6-1 | Romain Roehrig (Meteo-France/CNRS/Univ. Touluose/CNRM) |
| Das Atmosphaerische Modell (DAM) | DAM | David Romps (UC Berkeley/LBNL) |
| E3SM version 2 | E3SM | Walter Hannah (LLNL) |
| E3SM-MMF version 2 | E3SM-MMF | Walter Hannah (LLNL) |
| ICON-MPIM | ICON_AES | Sebastian Ortega (MPI), Romain Fievet (MPI) |
| Meso-NH 5.6.2 | MESONH | Jean-Pierre Chaboureau (LAERO, Univ. Toulouse, CNRS) |
| Model for Interdisciplinary Research on Climate ver. 6 | MIROC6 | Keiichi Hashimoto (Univ. Tokyo) |
| RAMS v6.3.04 | RAMS | Gabrielle Leung (CSU), Sue van den Heever (CSU) |
| System for Atmospheric Modeling (SAM v6.11.2) | SAM_CRM | Allison Wing (FSU), Graham O'Donnell (FSU) |
| System for Atmospheric Modeling (SAM v6.8.11) - M2005 Microphysics | SAM-M2005 | Guy Dagan and Jacob Shpund (The Hebrew University of Jerusalem) |
| System for Atmospheric Modeling - P3 Microphysics | SAM-P3ice | Blaz Gasparini (University of Vienna), Adam Sokol (Princeton University) |
| SCALE/5.2.5 | SCALE | Shuhei Matsugishi (University of Tokyo) |
| Simple Convection Resolving E3SM Atmosphere Model (SCREAM) ver. 0 | SCREAMv0 | Peter Bogenschutz (LLNL) |
| Met Office Unified Model GA7.1 | UKMO-GA7.1 | Lorenzo Tomassini (UK Met Office) |
| UKMO Idealized Model Version 11.1 | UKMOi-vn11.1-RA1-T | Peter Hill (Univ. of Reading/ECWMF) |
| Vector Vorticity Equation Cloud-Resolving Model | VVM | Chien-Ming Wu (National Taiwan Univ.) |
RCEMIP-I Experimental Design
RCEMIP-I includes the following two sets of experiments designed to address the three scientific objectives:
- RCE_small: RCE simulation on a small square domain (for CRMs) or single column (for GCMs)
- RCE_small295: uniform, fixed sea surface temperature (SST) of 295 K.
- RCE_small300: uniform, fixed SST of 300 K.
- RCE_small305: uniform, fixed SST of 305 K.
- RCE_large: RCE simulation on a large, rectangular domain (for CRMs) or global (for GCMs)
- RCE_large295: uniform, fixed sea surface temperature (SST) of 295 K.
- RCE_large300: uniform, fixed SST of 300 K.
- RCE_large305: uniform, fixed SST of 305 K.
The detailed parameter settings and output specifications can be found in the RCEMIP protocol paper.
Code
- Create analytic sounding used to initialize RCE_small: create_snd_analytic.m
- Function to compute on pressure levels: rcemip_on_p.m
- Function to compute on height levels: rcemip_on_z.m
- Compute diagnostics as in Wing et al. 2018; Wing et al. 2020:
- RCEMIP colors, as in Wing et al. (2020)
RCEMIP-I Output
Some clarification on the RCEMIP-I output specification can be found here (updated October 2, 2018).
The standardized RCEMIP-I output is hosted by the German Climate Computing Center (DKRZ) and is publicly available at http://hdl.handle.net/21.14101/d4beee8e-6996-453e-bbd1-ff53b6874c0e. In addition to the raw data, several post-processed domain- and time-average statistics are available in the A-Statistics folder as .csv files. We recommend reviewing the list of known bugs and inconsistencies with the RCEMIP protocol, which can be found in the A-README-BEFORE-DOWNLOAD folder.
Please let us know that you are using the RCEMIP data by filling out this form. If you use RCEMIP data in a publication, we ask that you cite the RCEMIP protocol paper (Wing et al. 2018), the RCEMIP overview paper (Wing et al. 2020), and including the following acknowledgement statement:
This work used resources of the Deutsches Klimarechenzentrum (DKRZ) under project ID mh1090. We thank the DKRZ for hosting the standardized RCEMIP-I data, which is publicly available at http://hdl.handle.net/21.14101/d4beee8e-6996-453e-bbd1-ff53b6874c0e.
RCEMIP-I Contributing Models
RCEMIP includes cloud-resolving models (CRMs), global cloud-resolving models (GCRMs), large eddy simulations (LES), general circulation models (GCMs), and single-column models (SCMs). "Model Name/Version" links to the citation for the model, "Model Abbreviation" is the abbreviation used in the DKRZ Swift Cloud and links to the RCEMIP model documentation form for the model.
| Model Name/Version | Model Abbreviation | Contributed by |
|---|---|---|
| Community Atmosphere Model version 5 | CAM5_GCM | Kevin Reed (Stony Brook Univ.), I-Kuan Hu (Univ. of Miami) |
| Community Atmosphere Model version 6 | CAM6_GCM | Kevin Reed (Stony Brook Univ.), I-Kuan Hu (Univ. of Miami) |
| CM1 (cm1r19.6) | CM1 | George Bryan (NCAR) |
| CNRM-CM6-1 | CNRM-CM6-1 | Romain Roehrig (Meteo-France/CNRM) |
| DALES | DALES | Stephan de Roode (TU Delft), Fredrik Jansson (TU Delft, Centrum Wiskunde & Informatica) |
| Das Atmosphaerische Modell (DAM) | dam | David Romps (UC Berkeley/LBNL) |
| echam-6.3.04p1 | ECHAM6_GCM | Tobias Becker (MPI-M) |
| GEOS 5.21 | GEOS_GCM | Nathan Arnold (NASA GMAO) |
| GFDL-FV3-CRM | FV3 | Ming Zhao (NOAA GFDL) |
| icon-2.3.00 | ICON_LEM_CRM | Tobias Becker (MPI-M) |
| icon-2.3.00 | ICON_NWP_CRM | Tobias Becker (MPI-M) |
| ICON-A | ICON_GCM | Sebastian Mueller (MPI-M) |
| IPSL-CM5A-LR | IPSL-CM6 | Max Popp, Sandrine Bony (LMD) |
| Meso-NH 5.4.1 | MESONH | Jean-Pierre Chaboureau (CNRS/Univ. Toulouse) |
| MicroHH version 2.0 | MicroHH | Chiel van Heerwaarden (Wageningen Univ.) |
| Model for Prediction Across Scales (MPAS), v. 5.2 | MPAS | Rosimar Rios-Berrios (NCAR) |
| NICAM.16.3 | NICAM | Tomoki Ohno (JAMSTEC) |
| System for Atmospheric Modeling - CRM (SAM v6.11.2) | SAM_CRM | Allison Wing (FSU) |
| System for Atmospheric Modeling - LES (SAM v6.11.2) | SAM_CRM | Martin Singh (Monash Univ.) |
| System for Atmospheric Modeling - GCRM (SAM v7.3) | SAM_GCRM | Marat Khairoutdinov (Stony Brook Univ.) |
| Seoul National University Atmosphere Model Version 0 | SAM0-UNICON | Min-Seop Ahn, Daehyun Kim (Univ. of Washington) |
| SCALE/5.2.5 | SCALE | Shuhei Matsugishi, Hiroaki Miura (Univ. of Tokyo) |
| Super-parameterized Community Atmosphere Model | SP-CAM | Mark Branson, David Randall (Colorado State Univ.) |
| Multi-instance Super-parameterized Community Atmosphere Model | SPX-CAM | Mark Branson, David Randall (Colorado State Univ.) |
| UCLA-LES | UCLA_CRM | Cathy Hohenegger (MPI-M) |
| Met Office Unified Model Global Atmosphere GA7.1 | UKMO-GA7.1 | Lorenzo Tomassini (UK Met Office) |
| UKMO Idealized Model Version 11.0 - CASIM | UKMOi-vn11.1-CASIM | Todd Jones (Univ. of Reading) |
| UKMO Idealized Model Version 11.0 - RA1-T | UKMOi-vn11.1-RA1-T | Todd Jones (Univ. of Reading) |
| UKMO Idealized Model Version 11.0 - RA1-T - Homog. Rad. | UKMOi-vn11.1-RA1-T-hrad | Todd Jones (Univ. of Reading) |
| UKMO Idealized Model Version 11.0 - RA1-T - No Cloud Scheme | UKMOi-vn11.1-RA1-T-nocloud | Todd Jones (Univ. of Reading) |
| WRF v3.9.1 | WRF-CRM | Kulkarni Gayatri, Thara Prabhakaran (IITM) |
| WRF v3.5.1 - Explicit Convection | WRF_COL_CRM | Zane Martin, Shuguang Wang (Columbia Univ.) |
| WRF v3.5.1 - Parameterized Convection | WRF_GCM | Yumin Moon, Daehyun Kim (Univ. of Washington) |