RCEMIP Experimental Design
RCEMIP 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.
Analytic Sounding
The following code may be used to generate the analytic sounding used to initialize RCE_small:
- Create analytic sounding: create_snd_analytic.m
- Function to compute on pressure levels: rcemip_on_p.m
- Function to compute on height levels: rcemip_on_z.m
Diagnostic Code
Code to compute the diagnostics described in the RCEMIP protocol paper can be found below:
- Organization index: IORG.py
- Subsidence fraction: calc_sf.m, uses binavg.m
Output
Some clarification on the output specification can be found here (updated October 2, 2018).
A list of known bugs and inconsistencies with the RCEMIP protocol can be found here.
The standardized RCEMIP 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. 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:
We thank the German Climate Computing Center (DKRZ) for hosting the standardized RCEMIP data, which is publicly available at http://hdl.handle.net/21.14101/d4beee8e-6996-453e-bbd1-ff53b6874c0e.
For model contributors, instructions for uploading your data to the DKRZ swiftbrowser can be found here (updated October 2, 2018). For technical questions about uploading or downloading data to/from the DKRZ cloud, contact Karsten Peters (peters at dkrz.de). Along with your model data, please fill out and upload this model documentation form.
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.
Simulations uploaded to DKRZ Swift Cloud
| 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) |