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Weather-Climate Connection A THORPEX Theme. Julian Wang NOAA Office of Ocean & Atmosphere Research Silver Spring, MD In collaboration with UIUC, CSU, …. Weather Climate. I C. BC. THORPEX. Years. Hours. assimilation, ensemble, physics …. 7 days. Months. 14 days. 2 weeks.
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Weather-Climate ConnectionA THORPEX Theme Julian Wang NOAA Office of Ocean & Atmosphere Research Silver Spring, MD In collaboration with UIUC, CSU, …
Weather Climate I C BC THORPEX Years Hours assimilation, ensemble, physics … 7 days Months 14 days 2 weeks
Development of CWRF Climate Extension of WRF Climate- Weather Research and Forecast Model This extension incorporates all WRF functionalities for NWP while enhancing the capability for climate applications. Hence the CWRF can be applied for both weather forecasts and climate predictions.
Diffusion Cloud Upper Eddy Binary Fraction Optics Const DIF L2.5 TKE L2 3D DEF Radiation RadExt Longwave Shortwave Orbit Gases Aerosols RRTM GFDL Dudhia GFDL GSFCLXZ GSFCLXZ SfcExt Surface Sfc Layer Land Ocean SST VEG OCN MRF MYJ SLAB NOAH OBS SOM CLM UOM PBL MRF MYJ CAM GBM Cumulus Microphysics Kessler [2] Hong [3] Hong [5] Reisner et al [7] BMJ NKF ECP ZML Ferrier [1+2] Zhao-Carr [2] Lin et al [6] CWRF Physics Options
Lateral Boundary – optimal buffer zone (planetary-mesoscale energy/mass exchange)Land Surface Model - surface-atmosphere interaction(planetary boundary layer, land surface and terrestrial hydrology)Convection-Cloud-Radiation Feedback – cumulus, cloud microphysics, cloud formation, and radiative transfer (lower cloud)
CWRFSurface Boundary Conditions USA SBCs
CWRFRemote Sensing Data Assimilation Surface Albedo
Nir MODIS Nir Model Vis MODIS Vis Model Savanna OLD NEW
Savanna Dir Dif OLD Vis Nir Dir Dif NEW
Nir Dir Vis Dir OLD vs MODIS Nir Dif Vis Dif Correlation Relative error
Nir Dir Vis Dir NEW vs MODIS dynamic-statistic Nir Dif Vis Dif Correlation Relative error
CWRFClimate-Hydrology Interaction 3D Volume Averaged Soil Moisture Transport ModelVAST
Ta Pa S L u qa Ea Ha IR CO2 Atmosphere-Land Interaction Regional Climate Model Land Surface Model
q - based Richards’ Eqn. 1) Vertical Diffusion 2) Vertical Drainage 3) Vertical Dispersion 4) Lateral Diffusion 5) Lateral Drainage 6) Lateral Dispersion Sink 3-DVAST based on Richards’ equation
DEM 6km cX cY SX SY 6km Concept of 3-DVolume Averaged Soil-moisture Transport model
CWRF Applications May 2003 – Tornado extreme season in the United States,more than 600 observed within one month.
Monthly Mean Precipitation of May 2003 Figure 1 shows precipitation information for May 2003, from observations, CWRF and MM5 simulations. Clearly the CWRF captured the major characteristics of the observed heavy rainfall in the central eastern area, while MM5 did not. It indicates more credibility of underlying physics and dynamics in the CWRF model. Note that global scale circulation information is passed to the CWRF at its lateral boundaries.
Convective Available Potential Energy, 3-11 May 2003 Obs Global CWRF MM5
Frequency of CWRF Unstable Incidences, 3-11 May 2003 Observed Tornado tracks 3-11 May 2003
Summary The improved model physics of the CWRF provides possibility for weather-climate application. The CWRF improvements has been, or will be implemented in the DTC and further WRF release. The CWRF physics modules are independent of dynamic core. Australia NMC and the CMA are adapting the CWRF in their operational model system. The CWRF is coupling with sea ice model for IPY applications.