1. Improved Simulations of Clouds and Precipitation Using WRF-GSI Zhengqing Ye and Zhijin Li NASA-JPL/UCLA June, 2011

2. Outline 1.Data assimilation and a multi-scale scheme 2.WRF and data assimilation in March, 2000 3.Data assimilation in June, 2007 4.Summary

3. Multi-Scale 3DVAR: Multi-Scale Background Error Covariance Background Multi-scale DA (Li et al., 2011, QJRMS)

4. WRF and Data Assimilation Configuration: Case during the March 2000 Cloud IOP The North American Regional Reanalysis (NARR) : Initialization and the lateral boundaries Observations: SONDE profiles and surface observations 18KM 6KM 2KM

5. Improved Meteorological Fields RMSEs Mean Profiles

6. Impact of ARM and Satellite Data Case during the June 2007 CLASIC IOP Conventional data ARM (Atmospheric Radiation Measurement) data Satellite data: amsua: Radiance (Brightness Temp) from NOAA 16, 17, 18, metop-a amsub: NOAA 15,16,17 hirs3: NOAA 16, 17 airs : NASA AQUA mhs : NOAA 18, metop-a

7. Conventional, ARM and Satellite Data points Conventional & ARM data (2007061300) Satellite data (2007060900)

8. NEXRAD Reflectivity: Meso-Scale Convective System (MCS): June 14, 2007 UTC 00:00UTC 03:00 UTC 06:00 UTC 09:00

9. Improved Reflectivity: UTC 06, 14 June, 2007 NO DA DA Simulated 900 hPa Reflectivity

10. Improved Simulation of A Meso-scale Convective System UTC 12, 06-13-2007-------------UTC 00, 06-14-------------UTC 12, 06-14

11. Observed 6-hour Precipitation

12. Improved Precipitation: UTC 18-24, 13 June, 2007 NO DA DA Observation

13. Improved Precipitation: UTC 00-06, 14 June, 2007 NO DA DA Observation

14. Summary WRF-GSI system can improve the simulation for most of 3D meteorological fields (u, v, T, q profiles) Clouds and precipitation simulation can also be improved in WRF -GSI data assimilation system.