Agustin garcia reynoso

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Agustin garcia reynoso

  1. 1. Air  Quality  Modeling  from  Forecast   to  Climate  Change  the  need  of  HPC  and  Supercompu<ng  in  this  area   Dr.  Agus?n  García  Reynoso   Centro  de  Ciencias  de  la  Atmósfera  
  2. 2. Topics  •  System  Descrip<on  •  Air  quality  forecast  •  Climate  change  and  Air  quality  •  Other  sources  evalua<on  •  Future  
  3. 3. System  Descrip-on    MASTER  NODE  -­‐  2  Intel  Xeon  E5410  2.33  GHz  (4  cores  per  processor)  -­‐  8  Gb  RAM  -­‐  2  HD  1  Tb    SLAVE  NODES  (10  nodes  in  5  twins)  -­‐  2  Intel  Xeon  X5472    3.00  GHz  (4  cores  per  processor)  -­‐  16  Gb  RAM  -­‐  1  HD  250  Gb    "STORAGE"  -­‐  2  Intel  Xeon  E5462  2.80  GHz  (4  cores  per  processor)  -­‐  32  Gb    RAM  -­‐  18  Tb  storage  capacity  (7  Tb  used)  SWITCH  INFINIBAND  -­‐  Switch  24  ports  (8  free)    SWITCH  ETHERNET  -­‐  Switch  16  ports  (4  free)  
  4. 4. Other  systems   1  MacPro  with  4  cores   1  MacPro  with  8  cores   1  MacPro  with  12  cores   3  iMac   Intel  compilers  icc  and  ifort  
  5. 5. So`ware  •  Lunix  CENTOS,  Mac  OS  X  •  Compilers  for  C  and  Fortran  (gnu,  intel   and  portland  group)  •  Ruby,  java,  perl  •  Libraries:  netcdf,  jasper,  png,  hdf5,   openmpi,  mpich,  parallel  netcdf  
  6. 6. AIR  QUALITY  FORECAST  
  7. 7. Air  Quality  Forecast  Importance  •  In  Mexico  City  Metropolitan  Area  (MCMA)  the   ozone  levels  have  exceeded  the  standard  (110   ppb)  on  50%  of  the  days  in  2010.  The   programs  to  prevent  the  environmental   con<ngencies  are  applied  a`er  the  people   have  been  exposed  to  high  ozone  levels.    •  An  air  quality  forecast  it  is  necessary  in  order   to  reduce  exposure  to  ozone  and  other  air   pollutants  
  8. 8. Use  of  WRF-­‐Chem  with  METv3  evalua-on  code  
  9. 9. AQ  forecast  web  page  Na<onal  Level:    Ozone    Central  Mexico:    Ozone      PM2.5   hfp://www.atmosfera.unam.mx/procca/Ozono.php    
  10. 10. To  Do  •  Combining  2  or  more  forecast  •  Nes<ng  domains  •  Upda<ng  emissions  inventories   from  sta<c  to  dynamic  emissions  
  11. 11. CLIMATE  CHANGE  
  12. 12. Dynamic DownscalingRegCM3 is a compressible, finite difference model with hydrostatic balance and vertical sigma-coordinates.Similar a MM5 pero adaptado para estudios climáticos. Domain 2 100.6W-97.3W y 17.8N-21N Grid of 140 x 140; ds=30km Domain 1 122W-86W y 16N-32N Grid of 160 x 80; ds=30km
  13. 13. Temperature  (°C).  Difference  between  reference  climatology  (1983-­‐1990)  and  scenario  (2071-­‐2073).    
  14. 14. Ozone  reduc<on  in  Central  Mexico   under  a  climate  scenario  
  15. 15. PBL  incrment  
  16. 16. OTHER  SOURCES  
  17. 17. Emissions  MCMA   200 O3 EAC RAMA 150 MCCMppb 100 50 0 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/14/07 4/15/07 4/16/07 dat 200 O3 TLA RAMA MCCM 150ppb 100 50 0 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/14/07 4/15/07 4/16/07 dat 200 O3 CUA RAMA MCCM 150ppb 100 50 0 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/14/07 4/15/07 4/16/07 dat
  18. 18. Emissions  MCMA  +  Toluca   200 O3 EAC RAMA MCCM 150ppb 100 50 0 12:00 PM 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/13/07 4/14/07 4/15/07 4/16/07 200 dat O3 TLA RAMA MCCM 150ppb 100 50 0 12:00 PM 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/13/07 4/14/07 4/15/07 4/16/07 dat 200 O3 CUA RAMA MCCM 150ppb 100 50 0 12:00 PM 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/13/07 4/14/07 4/15/07 4/16/07 dat
  19. 19. Emissions  MCMA   200 O3 EAC RAMA 150 MCCMppb 100 50 0 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/14/07 4/15/07 4/16/07 dat 200 O3 TLA RAMA MCCM 150ppb 100 50 0 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/14/07 4/15/07 4/16/07 dat 200 O3 CUA RAMA MCCM 150ppb 100 50 0 12:00 AM 12:00 PM 12:00 AM 12:00 PM 12:00 AM 4/14/07 4/15/07 4/16/07 dat
  20. 20. Backtrajectories  From  Tula  region  
  21. 21. Bactrajectories    From  Volcano  influence  
  22. 22. FUTURE  
  23. 23. Importance  of  HPC  •  Increased  compu<ng  power  for  atmospheric   chemistry,    weather  and    climate  provided   informa<on  for  decision  makers,  scien<sts  and   general  public.  •  Forecast  or  climate  predic<on  need  strong   scaling:  faster  nodes  and  processors,  not  more  of   them.    •  The  new  genera<ons  of  mul<-­‐  and  many-­‐core   processors  are  an  op<on.  •  Developments  in  so`ware  area    are  required  to   use  new  technologies.  

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