GPCI Field Campaign
Model Intercomparison Datasets
GPCI is a working group of the GEWEX Cloud System Study (GCSS). Models and data are analyzed along a Pacific cross-section from stratocumulus, to cumulus and to deep convection.
GPCI motivation:
- To evaluate models and observations in the (sub)tropics in terms of the atmospheric hydrologic cycle.
- To include 3D NWP/Climate models in the GCSS framework (SCM/LES/CRM have limitations).
- To utilize a new generation of satellite datasets (e.g. AIRS, CloudSat, GPS).
- To create a database of models and observations for future studies of the (sub)tropics.
A PDF presentation with the most recent results is available for download.
Participating Models
| Model Results | ||
|---|---|---|
| Organization | Model | Type> |
| BMRC (Aus) | BAM 4.0.21 | Global |
| CCC (Can) | CCC rna | Global |
| CMC (Can) | GEM | Regional |
| CSU/BUGS (US) | BUGS | Global |
| CSU/MMF (US) | MMF | Globai/MMF |
| DWD (Ger) | GME | Global |
| ECMWF (UK) | ECMWF | Global |
| ETH I MPI (Ger) | ECHAMS | Global |
| GFDL (US) | AM2p12b | Global |
| GKSS (Ger) | CLM | Regional |
| JAMSTEC (Jap) | AFES2 | Global |
| JMA (Jap) | GSM0412 | Global |
| KNMI (Ned) | RAC | Regional |
| LMD (Fra) | LMDZ4 | Global |
| MeteoFrance (Fra) | ARPEGE | Global |
| NASAIGISS (US) | GISS Ill 3.3 | Global |
| NCAR (US) | CAM 3.0 | Global |
| NCEP (US) | GFS&MOM3 | Global Coupled |
| NCEP (US) | GFS | Global |
| UCLA (US) | UCLAtm7.3 | Global |
| UCSD (US) | RSM | Regional |
| UKMO (UK) | Had GAM | Global |
| UQM (Can) | CRCM | Regional |
Notice: The data set with the original simulations from the GPCI models can be made available upon request & consideration. Please, contact Joao Teixeira, GPCI Coordinator (teixeira@@jpl.nasa.gov), and Sambingo Cardoso (sambingo@@ucar.edu) if you are interested in using any of those data or include results posted in this web page in a publication.
References:
The following simulation results were submitted by Joao Teixeira, GPCI Coordinator (teixeira@@jpl.nasa.gov), and Sambingo Cardoso (sambingo@@ucar.edu).
You may download all GPCI Model Intercomparison results in ASCII data file archive.
See the README file for details.
