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Invitation for Coupled Predictions to join the APCC's experimental 1-Tier Multi-Model Ensemble Forecasts
 
1. Overview
 

Some of the recent studies such as the APCC-supported CliPAS research(Wang et al., 2008) results suggest reshaping the strategy for predicting summer rainfall, and point to the necessity to establish one-tier MME forecast system for longer-lead prediction, particularly in monsoon regions. In general, it is expected that the APCC operational MME prediction, which currently mainly consists of two-tier predictions can be improved through inclusion of more individual coupled model predictions, or migrate to a fully coupled MME prediction system. Hence, APCC has recently initiated 6-month lead coupled MME climate prediction activity to provide a longer lead forecast.

 
Reference
 

1) Wang, Bin, June-Yi Lee, I.-S. Kang, J. Shukla, J.-S. Kug, A. Kumar, J. Schemm, J.-J. Luo, T. Yamagata, and C.-K. Park, 2008: How accurately do coupled climate models predict the leading modes of Asian-Australian monsoon interannual variability? Clim. Dyn. DOI: 10.1007/s00382-007-0310-5

 

2) Kryjov, Vladimir, Saji N.H, Hongwen Kang, Chi-Yung Tam, Daisuke Nohara, Bong-Geun Song, Doo-Young Lee, Kyong-Hee An, Soo-Jin Sohn, Young-Mi Min, 2006: Assessment of the Climate Forecasts Produced by Individual Models and MME Methods, APCC Technical Report, Vol.1, No.1, pp42

 
2. Current Status
 

Since February 2008, APCC has initiated experimental 6-month 1-tier MME prediction. The forecast data from 6 coupled models are being used in 1-tier MME prediction. The MME forecasts are generated 4-times a year, with the initial conditions of the first month of February, May, August and November. So far, forecast and hindcast for 2008MAMJJA, 2008JJASON, 2008SONDJF, 2008DJFMAM and 2009MAMJJA has been completed with 3 research models and 2 operational models, and more recently APCC's experimental coupled model. Our 1-tier MME indicated a scope for further potential improvement. The most important challenge is the limited number of the available coupled forecast as well as the limited number of ensembles. Therefore, we would like to invite other coupled prediction groups all over to contribute to this effort.

 
Reference of recent forecast and verification
 
3. Requirements
 

There are some requirements.

♦ Forecast Data
1) Period: 4 times a year
- MAMJJA with Feb. Initial conditions
- JJASON with May Initial conditions
- SONDJF with Aug. Initial conditions
- DJFMAM with Nov. Initial conditions
* Data should be uploaded before 15th of the relevant month (for example, in case of 2009 MAMJJA forecast, the dead line is Feb. 15th, 2009)
2) Variables (If available, all entries are recommended)
- Surface(2m) air temperature [K]
- Sea Surface temperature [K]
- Total precipitation [kg/m2sec]
- Mean sea level pressure [hPa]
- Outgoing Longwave Radiation [W/m2]
- 850hPa Temperature [K]
- 500hPa geopotential height [m]
- 850hPa zonal and meridional velocity [m/sec]
- 200hPa zonal and meridional velocity [m/sec]
3) Number of ensemble size
- Minimum of 5 members
4) Data Type
- Monthly mean (total) data for individual ensemble members
- Daily mean (total) data for individual ensemble members
5) Data Format
- Resolution: 2.5X2.5 degree interval over global domain (144X73 grids)
- Writing format: Binary and NetCDF formats are encouraged. Other formats are also acceptable.
6) QC (Quality Check)
- If possible, some internal QC before submission is recommended.
 
♦ Hindcast Data
1) Period: January 1982 ~ December 2008 (27 years)
if this is not available, minimum period is from 1982 to 2003
- MAMJJA with Feb. Initial conditions
- JJASON with May Initial conditions
- SONDJF with Aug. Initial conditions
- DJFMAM with Nov. Initial conditions
2) Experimental design
- Fully coupled forecast and hindcast simulation
3) Data Type
- Historical monthly mean for individual ensemble members
* If possible, Historical daily mean (total) data for individual ensemble members are welcome.
4) Variables, Data format should be consistent with forecasts
 
4. Benefits
 

1) Report on regular hindcast/forecast verification skills and diagnostics

 

2) MME digital data

 

3) Redistribution of model data to the other model providers and non-commercial users (subject to approval of the respective model providers)

 
5. Terms of data use
 
1) The MME and individual model data are provided for the use in academic research or operation of NMHSs only
 
2) APCC and model data providers should be acknowledged in publications, press releases or operational products which utilize any of the model data
 
3) Redistribution of the MME and model datasets is prohibited, without permission from the APCC model holders.
 
6. How to join
 
--> Go to the registration page
 
♦ Contact Information
 
Dr. Ashok Karumuri or Ms. Hye-In Jeong
 
APEC Climate Center (APCC)
1463 U-dong, Haeundae-gu, Busan, 612-020, Republic of Korea
Tel: 82-51-745-3961, Fax: 82-51-745-3999
E-mail: ashok@apcc21.net (Dr. Ashok Karumuri)
gpdls@apcc21.net (Ms. Hye-In Jeong)