ECPC’s Mar. 2003 Seasonal Forecasts

 

contributed by J. Roads, S. Chen, J. Ritchie

 

Experimental Climate Prediction Center

Scripps Institution of Oceanography

UCSD, 0224

La Jolla, CA 92093

 


1. ECPC’s Forecast System

The Experimental Climate Prediction Center (ECPC) currently uses the reanalysis I version (Kalnay et al. 1996) of the National Centers for Environmental Prediction’s (NCEP’s) medium range forecast (MRF) model or global spectral model (GSM; Roads et al. 2001a) to make routine experimental global forecasts. These global forecasts (daily out to 7days and weekly out to 16-weeks) start from the NCEP operational 00UTC global analysis. The GSM then forces a regional spectral model (RSM; Juang et al. 1997; Chen et al. 1999, Roads and Chen 2000; Roads et al. 2003b, Roads 2003) in order to gain increased spatial resolution (50-25 km resolution) for several selected regions (US, CA, SW, Brazil). At even smaller space (2-km resolution) and time scales (8xdaily to 2 days) either the NCEP analysis or GSM forces a corresponding nonhydrostatic mesoscale spectral model (MSM; Juang, 1997) for the Hawaiian Islands. All atmospheric models are based upon the same physics used in the GSM and can, in principle, be updated as the GSM is updated. Output products from the atmospheric models include a fire weather index (FWI, see Roads et al. 1997) and associated variables such as 2m-temperature, relative humidity and 10m-windspeed as well as precipitation and soil moisture. The global atmospheric model is now forcing an ocean model and corresponding ocean forecasts are discussed in Auad et al. (2002).  We are also beginning development of a new ensemble seasonal forecast system, which will make use of and upgraded version of the NCEP seasonal forecast model (Kanamitsu et al. 2003)

 

2. Forecast Skill Evaluations

Five years worth of forecasts (260 forecasts) have now been used to develop a GSM/RSM forecast climatologies, which are dependent upon season as well as lag. Both means and standard deviations were derived in order to provide normalized (by their respective standard deviation) anomalies. As discussed by Roads et al. (2001a,b), Roads and Brenner (2002), Roads et al. (2003a,b); Roads (2003), Chen et al. (2001), Chen and Roads (2003), the GSM/RSM provide skillful forecasts of temperature, precipitation, soil moisture and fire danger indices at long forecast ranges. Although the greatest skill occurs initially and then decays, monthly and seasonal averages demonstrate significant skill (Reichler and Roads 2002), which may be comparable to empirical long-range forecast methodologies.

 

3. Global seasonal GSM forecasts and US monthly RSM forecasts

Fig.s 1,2,3,4 show the GSM and RSM seasonal forecast anomalies normalized (by GSM or RSM standard deviations) of 2-m surface temperature, precipitation, soil moisture and the FWI for the 2003 MAM  time frame.

 

Above normal seasonal temperatures (Fig. 1) are being forecast for much of the northern hemisphere, especially in the tropical region, but also over Antarctica. Below normal temperatures are being forecast for much of the southern hemisphere. Over the US, the forecast temperatures are close to normal, with slightly above normal temperatures in the Northwest and slightly below temperatures in the Southwest (west Texas, New Mexico, east Arizona). These temperature forecasts are somewhat the inverse of the precipitation forecasts described below.

 

Above normal seasonal precipitation forecasts (Fig. 2) are indicated for eastern Africa, central Asia, northern Brazil. and northern Mexico. Less than normal amounts are being forecast over southern Brazil, Peru, and Argentina. Over the US, forecasts are indicating that the Southwest (West Texas, New Mexico, eastern Arizona) will be above normal and below normal precipitation will occur over the US Northwest ,  North Central, and Northeast.

 

Seasonal soil moisture (Fig. 3) forecasts are indicating that much of South America, Africa, and India will be below normal. Above normal soil moisture is being forecast over central Australia and northern Mexico. Over the US, the forecasts are consistent with the precipitation forecasts. Above normal soil wetness is forecast over the Southwest and southern Gulf coast states.  Below normal precipitation is being forecast in the Northwest.

 

The seasonal FWI (Fig. 4) is indicating potential fire danger over Canada, southern Brazil and Argentina, Siberia, India and central Asia. Over the US, the Northwest, North Central, and Northeast regions are indicating above normal fire danger, whereas the Gulf Coast states are indicating decreased danger. The US FWI is somewhat consistent with the precipitation and soil moisture forecasts.

 

References

 

Auad, G., A. Miller, J. Roads 2002: Ocean Forecasts. J. Marine Res. (submitted)

 

Chen, S. -C., J.O. Roads, H. -M. H. Juang, M. Kanamitsu, Global to regional simulation of California's wintertime precipitation. J. Geophys. Res., 104(24), 31517-31532, 1999.

 

Chen, S-C. J. O. Roads, and M. Wu, 2001: ECPC’s Asia forecasts.  Journal of Terrestrial-Atmosphere-Oceanography, 12, 377-400.

 

Chen, S. and J. Roads, 2003: Regional Spectral Model Simulations for South America. J. Hydrometeor. (submitted)

 

Juang, H. -M. H., S. -Y. Hong and M. Kanamitsu, 1997: The NCEP regional spectral model: an update. Bulletin Amer. Meteor. Soc., 78, 2125-2143.

 

Kalnay, E. et al., 1996: The NMC/NCAR reanalysis project, Bull. Am. Meteor. Soc., 77, 437- 471.

 

Kanamitsu, M., A. Kumar, H.-M. H. Juang, W. Wang, F. Yang, J. Schemm, S.-Y. Hong, P. Peng, W. Chen and M. Ji, 2002a: NCEP Dynamical Seasonal Forecast System 2000. Bull. Amer. Met. Soc., 83, 1019-1037.

 

Reichler, T. and J. Roads, 2002: Role of initial and boundary conditions in seasonal predictability. Nonlinear Processes in Geophysics (in press)

 

Roads, J.O., S. -C. Chen, F. M. Fujioka, H. Juang, and M. Kanamitsu. 1997. Global to Regional Fire Weather Forecasts. Int. Forest Fire News, 33-37.

 

Roads, J.O. and S-C. Chen, 2000:  Surface Water and Energy Budgets in the NCEP Regional Spectral Model. JGR-Atmospheres. 105 (D24) p. 29, 539.

 

Roads, J.O., S-C. Chen and F. Fujioka, 2001a:  ECPC’s Weekly to Seasonal Global Forecasts. Bull. Amer. Meteor. Soc., 82, 639-658.

 

Roads, J., B. Rockel, E. Raschke, 2001b: Evaluation of ECPC’s Seasonal Forecasts Over the BALTEX Region and Europe. Meteorologische Zeitschrift Vol. 10 (4) p. 283-294.

 

Roads, J. and S. Brenner, 2002: Global Model Seasonal Forecasts for the Mediterranean Region. Israel Journal of Earth Sciences. 51 (1),  1-16.

 

Roads, J., S. -C. Chen, J. Ritchie, 2002: ECPC’s Weekly to Seasonal U.S. Forecasts of FWI, Soil Moisture, and Precipitation. ELLFB bulletin, Dec. 2002.

 

Roads, J., S.-C. Chen, M. Kanamitsu, 2003a: US Regional Climate Simulations and Seasonal Forecasts. Journal of Geophysical Research-Atmospheres (in press).

 

Roads, J., S. Chen, S. Cocke, L. Druyan, M. Fulakeza, T. LaRow, P. Lonergan, J.-H. Qian, S. Zebiak, 2003b: The IRI/ARCs Regional Model Intercomparison Over S. America. J. Geophys. Res. (in press).

 

Roads, J. 2003: Experimental Weekly to Seasonal, Global to Regional US Precipitation Forecasts (submitted)



 

 

Fig. 1 Seasonal GSM/RSM temperature forecasts normalized (by GSM/RSM standard deviations) anomalies: (upper) global forecast; (lower) US forecast.


 

Fig. 2 Seasonal GSM/RSM precipitation forecasts normalized (by GSM/RSM standard deviations) anomalies: (upper) global forecast; (lower) US forecast.


 

Fig. 3 Seasonal GSM/RSM soil moisture forecasts normalized (by GSM/RSM standard deviations) anomalies: (upper) global forecast; (lower) US forecast.


 

 

Fig. 4 Seasonal GSM/ RSM FWI forecasts normalized (by GSM/RSM standard deviations) anomalies: (upper) global forecast; (lower) US forecast.