ECPC’s Sept. 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 Sept., Oct., Nov. 2002 time frame.
Above normal seasonal temperatures (Fig. 1) are now being forecast for
equatorial Africa, eastern Australia, Europe, the central equatorial and
subtropical Pacific Ocean as well as the subtropical south Atlantic. Below
normal temperatures are being forecast for the western Pacific, equatorial
Atlantic and the south Atlantic. The US temperatures are forecast to be normal,
except for the slightly low temperatures in the Gulf of California.
Above normal seasonal precipitation forecasts (Fig. 2) include the northern Amazon,
East Africa, Europe and western Russia, southern Argentina, equatorial and
north Pacific ocean, and the ocean off the coast of China. A band of above
normal precipitation over the southern hemisphere storm track is also forecast.
Below normal precipitation is being forecast for Central America, West Africa,
parts of China and the west Pacific, which may be related to a developing El
Nino. Over the US, above normal precipitation is being forecast for the western
US and eastern Mississippi River Basin, as well as the Gulf of Mexico. Below
normal precipitation is still being forecast for the south Atlantic states.
Soil moisture (Fig. 3) forecasts are indicating that the north and equatorial
Africa as well as parts of western Russia and Siberia and China will be dry, as
will the northern Amazon and Australia. The US Mississippi River Basin is
forecast to be relatively wet, while the Southwest and Mexico is forecast to
again be relatively dry.
The seasonal FWI (Fig. 4is indicating potential fire danger in western Russia, Siberia
and China, as well as southern Australia. Below normal fire danger is being
forecast for the US and Canada, as well as Brazil and Argentina, North Africa
and the Middle East.
Other experimental GSM and RSM forecast fields
(wind speed, relative humidity) and additional forecast months) can be found at
http://ecpc.ucsd.edu/projects/ellfb/. Additional forecast ranges, variables, and
regions are displayed at http://ecpc.ucsd.edu/m2s/m2s_ECPC_forecasts.html/.
All forecasts and new experimental fire danger (USFS fire danger indices), land
surface, and ocean predictions (seasonal to decadal) can be linked from
http://ecpc.ucsd.edu/predictions/.
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 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, 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 temperature forecasts normalized (by GSM standard
deviation) anomalies: (upper) global forecast; (lower) US forecast.
Fig.
2 Seasonal precipitation forecasts normalized (by GSM standard
deviation) anomalies: (upper) global forecast; (lower) US forecast.
Fig.
3 Seasonal soil moisture forecasts normalized (by GSM standard
deviation) anomalies: (upper) global forecast; (lower) US forecast.
Fig.
4 Seasonal FWI forecasts normalized (by GSM standard deviation)
anomalies: (upper) global forecast; (lower) US forecast.