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Dust modelling Earth Science BSC activites
● BSC-DREAM8b 72h daily forecast- http://www.bsc.es/projects/earthscience/DREAM
● BSC-DREAM8b evaluation activities- DREAM improvement (Pérez et al., 2006a; Pérez et al., 2006b)- BoDEx model intercomparison (Todd et al., 2008)- DREAM8b vs. SAMUM-I (Haustein et al., 2009; GRL)- DREAM8b vs. AERONET 2004 (Basart et al., 2011)
● NMMB NWP model development and evaluation- NMMB/BSC-DUST (Perez et al., 2011; Haustein et al., 2011)- NMMB/BSC-CHEM (Poster Jorba et al., 2011)- NMMB/BSC-DUST with aerosols (AERO)
Earth Sciences Department, Barcelona Supercomputing Center (BSC-CNS), Barcelona, SpainEnvironmental Modeling Laboratory, Technical University of Catalonia (UPC), Barcelona, Spain
NCEP-NMMB
● Non-hydrostatic Multiscale Model at the Arakawa B grid
● Still under development at NCEP (Janjic, 2005; Janjic and Black, 2007)
● Follows the general modeling philosophy of the WRF-NMM (Janjic, 2001; 2003)● Hence the evolution of ETA model with updated meteorological core● Built on NWP experience by relaxing hydrostatic approximation● Unified model for a broad range of spatial and temporal scales● Developed within the Earth System Modeling Framework (ESMF)
● Arakawa B grid and regular (global) or rotated (regional) lat/lon coordinate● Lorenz vertical staggering and Pressure-sigma hybrid coordinate● Adams-Bashforth/Crank-Nicholson for horizontal/vertical advection● The non-hydrostatic option as an add-on module
● NMMB regional will become the next-generation NCEP mesoscale model for
operational weather forecasting in 2011 replacing NAM (WRF-NMME) model
RUN DYNAMICS RUN PHYSICS
Coupler DYN-PHYSDynamics export
T, U, V, Q, CW, Q2, OMGALF
Coupler DYN-PHYSPhysics Export
T, U, V, Q, CW, Q2
ATM
Structure of NMMb using Earth System Modeling Framework (ESMF)
RUN DYN(DUST, CHEM hadv,vadv and hdiff)
RUN PHYS(Dust Emission, vdiff, deposition,chem emission, vdiff,photolysis, chemical mechanism,deposition)
Coupler DYN-PHYSDynamics export
T, U, V, Q, CW, Q2, OMGALF, DUST, CHEM
Coupler DYN-PHYSPhysics Export
T, U, V, Q, CW, Q2, DUST, CHEM
ATM
NMMb/BSC-DUST-CHEM using Earth System Modeling Framework (ESMF)
DUST and gas-phase CHEM modules fully embeded within the atmospheric driver
NMMB/BSC-DUST
● NMMB/BSC-DUST is embedded into the NMMB model and solves the mass balance equation for dust taking into account the following processes similar to the design of BSC-DREAM8b
dust generation/emission by surface wind
horizontal and vertical advection
vertical transport/diffusion by turbulence and convection
dry deposition and gravitational settling
- sedimentation, gravitational settling (Stokes-Cunningham approx.) and surface layer parameterization
wet removal including in-cloud and below-cloud scavenging
- dust scavenging is computed separately for convective and grid-scale precipitation
- Ferrier grid-scale microphysics and BMJ convective adjustment scheme
- Below cloud scavenging in each layer (Slinn, 1984; Loosmoore and Cederwall, 2004)
RRTM SW/LW dust radiative feedback
MODEL RESULTS
• Regional test case
Regional North African domain at 0.25x0.25º spatial resolution
40 vertical layers and fundamental time step of 40 seconds
1x1º NCEP analysis meteorology data reinitialized every 24 hours
updated of boundary conditions every 6 hours
Non-hydrostatic physics and dust cold start period of 3 days
SAMUM-I period May 2006
BoDEx period March 2005
Dust storm in March 2004
BSC - Mare Nostrum
RESULTS: SAMUM-I
SAMUM-I on 18 May 2006
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RESULTS: SAMUM-I
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Day of May 2006 Day of May 2006
Stations
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hfc
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red - AERONETblue - Bodélégreen - EARLINET
Naples Athens Thessaloniki
SAMUM-I
RESULTS: SAMUM-I
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SAMUM-I SAMUM-I
RESULTS: SAMUM-I
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SAMUM-I SAMUM-I
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RESULTS: SAMUM-I
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NMMB/BSC-DUST (NCEP-FNL)
Day of March 2005
NCEP (FNL) 1 x 1 analysis
PIBAL sonde wind speed at Chicha
RESULTS: BoDEx
Bodélé
Stations
RESULTS: BoDEx
Sunphotometer Chicha
RESULTS: Dust Event
Perfect dust storm on 3 March 2004
LDA MSG/SEVIRI producta b
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For more information on LDA MSG/SEVIRI product → Govaerts et al., 2010
RESULTS: Dust Event
Perfect dust storm on 3 March 2004
LDA MSG/SEVIRI producta b
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For more information on LDA MSG/SEVIRI product → Govaerts et al., 2010
Conclusion
● NMMB/BSC-DUST versus SAMUM-I
- Good qualitative reproduction of the dust cycle but moderate differences
- Very good temporal agreement between model and AERONET AOD
- Acceptable agreement in the profiles between model and EARLINET lidars
- Model wind is fairly well simulated from NMMB (no radiative feedback here)
● NMMB/BSC-DUST versus BoDEx
- The Bodélé low level jet (LLJ) can be nicely identified in the model
- Peak wind speeds are underestimated nonetheless over the Bodélé
- Diurnal 2m temperature depends heavily on initial soil moisture data
- Soil moisture feeds also back model wind, hence simulated dust uptake
GLOBAL ANNUAL
Rosenstiel School Miami Network sites NMMB/BSC-DUST
NMMB/BSC-DUSTTotal surface concentration observations
GLOBAL ANNUAL
AERONET sites NMMB/BSC-DUST
NMMB/BSC-DUSTTotal AOD observations
Simulation:
Global simulation for year 2006
0.7º x 0.5º x 40 vertical levels
Cold start without data assimilation
Initial conditions from NCEP analysis 1x1º. Meteorological fields updated with NCEP every 24 hours.
Aeronet validation: Aeronet data here is Coarse AOD (mainly dust over
dust affected stations) We validate daily averages
NMMb/BSC-Dust 2006 global simulation
AERONET BCN site MPLidar
Technical University of Catalonia (UPC), Barcelona-Spain
THANK YOU FORYOUR ATTENTION
Acknowledgements
This work is funded by the projects CGL2006-11879, CGL2008-02818,CGL2010-19652 of the Spanish Ministry of Science and Innovation.Simulations have beenperformed in the Marenostrum supercomputer.
We thank the AERONET and EARLINET community for theirvaluable data as well as the SAMUM-I and BoDEx people forproviding their comprehensive data.
C. Pérez
O. Jorba
S. Basart
K. Haustein
K. Serradell
F. Martínez
J.M. Baldasano