WRF Modifications Goddard Suite and Applications at Goddard

  • Slides: 14
Download presentation
WRF Modifications (Goddard Suite) and Applications at Goddard GOCART Tao et al. (2007) WRF

WRF Modifications (Goddard Suite) and Applications at Goddard GOCART Tao et al. (2007) WRF Satellite Data Cloud. Sat, TRMM Field Campaigns (MAP, GPM) • Water/energy cycle against data from field programs • Semi-Real and Real Time at GPM Super sites and TC 4 • Hurricane/Typhoon (Impact of microphysics and land surface on intensity - fine resolution simulation - diurnal cycle? ) • Regional Climate (i. e. , Monsoon) Kumar et al. (2007) Water Cycle (NEWS) Blue Boxes: Goddard Physical Packages Tao, W. -K. , J. Shi, S. Chen, S. Lang, S. -Y. Hong, G. Thompson, C. Peters-Lidard, A. Hou, S. Braun, and J. Simpson, 2007: Revised bulk-microphysical schemes for studying precipitation processes: Part I: Comparison with different microphysical schemes, Mon. Wea. Rev. , (submitted). Kumar, S. V. , C. D. Peters-Lidard, J. E. Eastman, W. -K. Tao, 2007: An integrated high resolution hydrometeorological modeling system using LIS and WRF, Environmental Modeling & Software, (in press). • Cloud-Aerosol Interactions (transport/precipitation - Asia and USA) W. Lau, K. Pickering, A. Hou, C. Mian, S. Braun, W. Lapenta, S. Kumar, T. Matsui, R. Shi C. Peters-Lidard, W. -K. Tao

WRF Cases (high-resolution runs) GPM C 3 VP (2007) Katrina (2005) Forest Fire (2007)

WRF Cases (high-resolution runs) GPM C 3 VP (2007) Katrina (2005) Forest Fire (2007) India - Monsoon (2005 -2006) IHOP (2002) TC 4 2007

Goddard Microphysics (>12 Different Schemes) CSU RAMs’ 2 -Moment: Cloud-Aerosol/Precipitation Interactions (D. Posselt, A.

Goddard Microphysics (>12 Different Schemes) CSU RAMs’ 2 -Moment: Cloud-Aerosol/Precipitation Interactions (D. Posselt, A. Hou, G. Stephens) NCAR 2 -moment: H. Morrison Three-moments: Milbrandt and Yau (2005) No Microphysical Scheme is perfect !

Goddard Bulk Microphysical Scheme • • • Warm Rain (Soong and Ogura 1973) Ice-Water

Goddard Bulk Microphysical Scheme • • • Warm Rain (Soong and Ogura 1973) Ice-Water Saturation Adjustment (Tao et al. 1989) 3 ICE-Graupel and 3 ICE-Hail (Tao and Simpson 1989, 1993; Mu. Cumber et al. 1990) Option 3 ICE-Graupel (Rutledge and Hobb 1984) or 3 ICE -Hail (Lin et al. 1983) The sum of all the sink processes associated with one species will not exceed its mass - (Water budget balance) All transfer processes from one type of hydrometeor to another are calculated based on one thermodynamic state (ensure all processes are equal) MM 5 Tao, W. -K. , and J. Simpson, 1993: The Goddard Cumulus Ensemble Model. Part I: Model description. Terrestrial, Atmospheric and Oceanic Sciences, 4, 35 -72. • • • 3 ICE Modification (Tao et al. 2003) Saturation adjustment Conversion from Ice to Snow 2 ICE scheme (Tao et al. 2003) Ice and Snow 3 ICE-Graupel Modification (Lang et al. 2007) Conversion from cloud to snow Dry growth of graupel WRF <-- GCE Tao, W. -K. , J. Simpson, D. Baker, S. Braun, M. -D. Chou, B. Ferrier, D. Johnson, A. Khain, S. Lang, B. Lynn, C. -L. Shie, D. Starr, C. -H. Sui, Y. Wang and P. Wetzel, 2003: Microphysics, radiation and surface processes in the Goddard Cumulus Ensemble (GCE) model, A Special Issue on Non-hydrostatic Mesoscale Modeling, Meteorology and Atmospheric Physics, 82, 97 -137. Lang, S. , W. -K. Tao, R. Cifelli, W. Olson, J. Halverson, S. Rutledge, and J. Simpson, 2007: Improving simulations of convective system from TRMM LBA: Easterly and Westerly regimes. J. Atmos. Sci. , 64, 1141 -1164. Observation H(km) d. Bz CFAD - Radar Reflectivity Improved (WRF)

Microphysical Schemes • WRF WSM 6 (Hong et al. 2004) • WRF Purdue Lin

Microphysical Schemes • WRF WSM 6 (Hong et al. 2004) • WRF Purdue Lin (Chen and Sun 2002) • WRF Thompson (Thompson et al. 2007 - V 3) • Goddard 3 ICE - Graupel (Tao et al. 2003 a; Lang et al. 2007) Tropical Oceanic • Goddard 3 ICE - Hail (Tao and Simpson 1993; Mc. Cumber et al. 1990) - Midlatitude Continental • Goddard 2 ICE (Tao et al. 2003 b) - Winter Snow Storm/Frontal

Thompson Lin 3 ice/graupel 2 ICE WSM 6 3 ice/hail Observation GCE 3 ICE-Hail

Thompson Lin 3 ice/graupel 2 ICE WSM 6 3 ice/hail Observation GCE 3 ICE-Hail simulated a very thin convective line and is in better agreement with observation IHOP 2002 - WRF 1 km grid

qs: snow qg: graupel qs qs WRF Thompson 3 ICE-graupel qg qs WRF WSM

qs: snow qg: graupel qs qs WRF Thompson 3 ICE-graupel qg qs WRF WSM 6 qg qg WRF Purdue-Lin 2 ICE qs 3 ICE-hail Tao, W. -K. , J. Shi, S. Chen, S. Lang, S. -Y. Hong, G. Thompson, C. Peters-Lidard, A. Hou, S. Braun, and J. Simpson, 2007: Revised bulk-microphysical schemes for studying precipitation processes: Part I: Comparison with different microphysical schemes, Mon. Wea. Rev. , (submitted).

Minimum sea level pressure (MSLP) Hurricane Katrina (2005) - 1. 67 km grid Minimum

Minimum sea level pressure (MSLP) Hurricane Katrina (2005) - 1. 67 km grid Minimum sea level pressure (MSLP) from the observation and five different WRF experiments using different microphysical schemes (00 Z 8/27/2005 to 00 Z 8/30/2005). Similar temporal variation between model simulated and observed MSLP. All schemes over-estimated MSLP, especially Lin scheme. Lin Tracks for Hurricane Katrina (2005) from the observation and five different WRF experiments using different microphysical schemes (from 00 Z 8/27/2005 to 00 Z 8/30/2005). Good track forecast in 1 st 24 h model integration All schemes’ simulated track is far west after landfall

Thompson 2 ice Goddard 3 Ice-graupel appears to agree with observation in eye and

Thompson 2 ice Goddard 3 Ice-graupel appears to agree with observation in eye and outer rain band structure WSM 6 3 ice/hail Lin 3 ice/graupel Hurricane Isabel (2003) IR-TRMM

WRF Simulated Radar Reflectivity (1 km grid) 06 Z 1/20 2007 07 Z 1/22

WRF Simulated Radar Reflectivity (1 km grid) 06 Z 1/20 2007 07 Z 1/22 2007 00 Z 1/21 2007 09 Z 1/22 2007 Two Major Snow Events - 1 -2 feet snow: A lake (local) effect event (top two) and a synoptic event

Vertical profiles of domain- and 1 st 24 -hour time-average cloud species (i. e.

Vertical profiles of domain- and 1 st 24 -hour time-average cloud species (i. e. , cloud water, rain, cloud ice, snow and graupel) for the 3 ICE (cloud ice, snow and graupel) and 2 ICE (cloud ice and snow) 3 ICE 2 ICE Large precipitating particles (rain and graupel) did not form for both experiments <--weak vertical velocity (~50 cm/s). O Similar profiles for cloud water, cloud ice and snow for both experiments. O Goddard 3 ICE microphysical scheme did response the cloud dynamic well without producing large size precipitating ice (graupel). O Cloud water presence during snow event has been observed and simulated (also found many other snow events) O

Sensitivity of microphysical schemes on the vertical profiles of domain and time-average cloud species

Sensitivity of microphysical schemes on the vertical profiles of domain and time-average cloud species (1 st 2 hh hour integration and for lake snow event) Lin Goddard No cloud ice, little cloud water Snow and graupel at ground WSM 6 Snow and graupel at ground Cloud ice is dominant species, little cloud water Thompson No cloud ice

Goddard WRF In-Line Cloud Statistics - Cloud water and energy budget (convective vs stratiform)

Goddard WRF In-Line Cloud Statistics - Cloud water and energy budget (convective vs stratiform) Tracer Calculation - Trace gases redistribution by convective updraft and downdraft Microphysics New 3 Ice-Graupel 2 -Moment (cloud-aerosol interactions) - Testing Multi-moment (mass, concentration, shape) Hybrid (Spectral bin and bulk microphysics) Satellite (Earth) simulators (microwave, dual frequency precipitation radar, lidar, cloud radar, IR…) - Need to improve computational performance - documentation. Ocean Model(s)

Thanks More on GCE model microphysics improvement Impact on Global Cloud-Resolving Model Observation New

Thanks More on GCE model microphysics improvement Impact on Global Cloud-Resolving Model Observation New Reducing the overestimate of 40 d. Bz at higher altitude WRF