1. A Numerical Study of Early Summer Regional Climate and Weather. Zhang, D.-L., W.-Z. Zheng, and Y.-K. Xue, 2003: A Numerical Study of Early Summer Regional Climate and Weather over LSA-East. Part I: Model Implementation and Verification. Mon. Wea. Rev., 131, 1895-1909. Xue, Y., P. J. Sellers, J. L. Kinter, and J. Shukla, 1991 : A Simplified Biosphere Model for Global Climate Studies. J. Climate, 4, 345-364.

2. Introduction  Despite the importance of cloud and precipitation in the regional water cycle, the progress in warm-season quantitative precipitation forecasts (QPFs) has been slow due to the dominant weak dynamical forcing in the synoptic-scale environments and subgrid-scale meteorological forcing and surface conditions.

3. Introduction  Nevertheless, it is encouraging from recent realdata mesoscale modeling studies that the warm-season QPFs could be significantly improved in certain cases by simply incorporating high – grid resolution and realistic model (cloud and boundary layer) physics (Zhang and Fritsch 1988; Zhang et al. 1988; Stensrud and Fritsch 1994; Alexander and Cotton 1998).

4. Model description  The SSiB (Simplified SImple Biosphere) scheme is coupled with the MM5 model Three domain: 45-, 15-, 5-km CPS scheme: new Kain-Fritsh scheme (Kain, 2004) Microphysics scheme: Simple ice scheme (Dudhia, 1989) PBL scheme: Blackadar (1979) scheme Radiation scheme: Dudhia (1989) 31 levels in the vertical IC and BC: NCEP Eta model analyses The model is integrated for 30 days from 0000 UTC 1 June 1998.

5. SSiB scheme  The SSiB scheme is used to represent the land-surface processes in MM5.  The SSiB scheme is coupled with the Blackadar PBL scheme through the flux exchange between the ground and the surface air layer, as suggested by Xue et al. (2001), to ensure energy and momentum conservation across the land – air interface.

6. The 24 vegetation types from the U.S. Geological Survey (USGS) Earth Resources Observation Systems (EROS) 1-km resolution vegetation dataset is converted to 13 types based on the description of SSiB.

7. The soil types are determined independently from the 1-km resolution multiyear 16-category soil characteristics dataset developed by Miller and White (1998).

8. Verification data  Two sets of precipitation measurements is used to verify the model simulation: one is from the NCEP analysis, based on over 5000 rain gauge stations in the United States, at about 0.25 o resolution. the other is the hourly National Precipitation Analysis (NPA), based on multisensor (rain gauge and radar) measurements, at a 4-km resolution.

9. Regional climate simulations

10. (a)the daily rain gauge measurements at 0.25 o resolution. (b)the NPA hourly multisensing measurements at 4-km resolution. (c)the simulation.

12. Temporal evolution of individual rainfall systems (3-hourly rainfall rate) Observed Simulated

13. The diurnal variations of temporally and spatially averaged rainfall observedsimulated simulated convective rainfall simulated grid-scale rainfall

14. Event A Event C Obs Sim

15. Event F Event G Obs Sim

16. Summary  The coupled model is capable of simulating many regional climate features. such as the area-averaged precipitation, horizontal winds, surface temperatures (maximum and minimum), and pressures at the daily to monthly timescales, as well as the diurnal variations of precipitation.

17. Summary  The model can simulate individual mesoscale weather events, particularly associated with extratropical cyclones/fronts.  However, the model tends to have less predictability for convective developments under weak gradient environments.

18. Summary  Although the specified lateral boundary conditions, which restrain error growth in the large-scale forcing, help undoubtedly reproduce the observed mesoscale weather events, various parameterized physical processes (e.g., diabatic heating, PBL, land-surface fluxes, and topography, in that order) must play an important role in determining where and when they would occur and the distribution of their associated precipitation.