ECPC’s Dec. 2002 Seasonal Forecasts
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 Scripps 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 and
Kanamitsu, 1994; Juang et al. 1997; Chen et al. 1999, Anderson et al. 2000,
Roads and Chen 2000; Roads et al. 2002) 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).
2.
Forecast Skill Evaluations
Four years worth of forecasts (208 forecasts)
have now been used to develop a GSM forecast climatology dependent upon season
as well as lag. Both means and standard deviations were derived in order to
provide normalized (by the standard deviation) anomalies. As discussed by Roads
et al. (2001a,b), Roads and Brenner (2002), Chen et al. (2001), the GSM
provides skillful forecasts of temperature, precipitation, soil moisture and a
fire weather index at long forecast ranges. Although the greatest skill occurs
initially and then decays, monthly and seasonal averages demonstrate
significant skill (see Reichler and Roads 2002), which may be comparable to
empirical long-range forecast methodologies. A recent evaluation of the
corresponding RSM seasonal forecasts indicated similar skill (Roads et al.
2002d).
3. Global
seasonal GSM forecasts and US monthly RSM forecasts
Fig.s 1,2,3,4
show
the GSM and RSM seasonal forecast normalized anomalies normalized (by GSM or
RSM standard deviations) of 2-m surface temperature, precipitation, soil
moisture and the FWI for the 2002 Dec., 2003 Jan., Feb. time frame.
Above normal seasonal temperatures (Fig. 1) are now being forecast for the
central and northeaster Pacific, Caribbean, Brazil, South Atlantic, South
Africa and Austral-Asia regions. Below normal temperatures are being forecast
for the North, equatorial and South Atlantic and northwest Pacific. Over the
US, the forecast temperatures are close to normal, with slightly above normal
temperatures in the West and slightly below temperatures in the Mississippi
River Basin.
Above normal seasonal precipitation forecasts (Fig. 2) are indicated for Europe and
the Middle East, South Asia, the central equatorial Pacific and the high
southern hemisphere latitudes. Below normal precipitation is indicated over
Canada, Northeast Brazil, Siberia, and the Indian Ocean. Over the US, forecasts
are indicating the US West will be above normal and below precipitation will
occur over the Gulf and eastern seaboard.
Seasonal soil moisture (Fig. 3) forecasts are indicating that the eastern Amazon, Russia,
South Africa, and Australia will be dry and that wetter than normal regions
will occur in the eastern Amazon, Argentina and East Asia. Over the US, above
normal soil wetness is forecast over the north central and Great Lakes states,
which is not fully consistent with the precipitation, indicating a possible transition
during the upcoming season.
The seasonal FWI (Fig. 4) is indicating potential fire danger in Northeast Brazil and
Peru, Central Africa and Australia. Below normal fire danger is forecast for
Canada, Argentina. Over the US, the South Central region is indicating above
normal fire danger, whereas Southern California is indicating less fire danger,
presumably due to the increased precipitation and soil moisture being forecast
for this region.
References
Anderson, B.T., J. O.
Roads, S. -C. Chen, and H-M.H. Juang, 2000: Regional Simulation of the
Low-level Monsoon Winds Over the Gulf of California and Southwest United
States. JGR-Atmospheres 105 (D14)
17,955-17969.
Auad, G., A.
Miller, J. Roads 2002: Ocean Forecasts. JGR (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.
Juang, H. -M. H., and M.
Kanamitsu, 1994: The NMC nested regional spectral model. Mon. Wea. Rev.,
122, 3-26.
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.
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,
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, 2002a: ECPC’s Weekly to Seasonal U.S. Forecasts of FWI, Soil
Moisture, and Precipitation. ELLFB bulletin, June. 2002.
Roads, J., S.-C. Chen, M. Kanamitsu, 2002c: US
Regional Climate Simulations and Seasonal Forecasts. Journal of Geophysical Research-Atmospheres (in press).
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.