MESOSCALE MODEL APPLICATIONS TO IMPROVE

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• MESOSCALE MODEL APPLICATIONS TO IMPROVE
• PREDICTIONS IN THE GULF OF CALIFORNIA
• L.M. FARFÁN
• Significant weather events in the gulf during
  the warm season
• Network of routine observations in
  northwestern Mexico
• Detection of gulf surge and
  operational model representation
• CICESEs contribution to NAME in
  2004
• 1) Mesoscale model
  simulations (research mode)
• 2) Study oceanic
  processes on SST evolution (field experiment)

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NORA, 1997
JULIETTE, 2001
IGNACIO, 2003
MARTY, 2003
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Surface station reports 29 August 01
September, 2002


surface airways synoptic sites ships and
bouys
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Network of surface and upper-air stations
200 km
Surface airways (12) Automatic sites
(13) Upper-air soundings (2)
1,100 km
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Upper-air and surface, automatic stations
(EMAS) Comisión Nacional del Agua / Servicio
Meteorológico Nacional
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Eta model, vertical cross section of horizontal
winds
Sierra Madre
Baja California
gulf
Pacific
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3.3-km spatial resolution grid (94x88)
La Paz (CNA/SMN)
Desert ? Water ?

??City ?Forests
Cd. Constitución (automatic)
CIBNOR/SDSU
La Paz (MMLP)
San José (MMSD)
Cabo San Lucas (automatic)
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12am
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3pm
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Proposed oceanographic cruises during NAME
(Douglas, M. et al. 2003)

• 1) Improved understanding of SST spatial and
  temporal distribution
• 2) Observed evolution of marine boundary layer
  in significant events
• 3) Better initialization and assimilation of
  model fields at low-levels

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• MESOSCALE MODEL APPLICATIONS TO IMPROVE
  PREDICTIONS IN THE GULF OF CALIFORNIA
• L.M. Farfán (farfan_at_cicese.mx)
• SUMMARY
• Continental MCSs and tropical
  cyclones are significant sources of events
• Surface and upper-air network
  provide data along coastal areas
• CICESEs contribution to NAME
• a) mesoscale
  modeling studies for relevant case studies
• b) study of
  the oceanic processes on SST evolution
• Expected results include
• 1) Improved
  distribution of SST in time and space
• 2)
  Observed evolution of marine boundary layer in
  significant events
• 3)
  Better initialization and assimilation of model
  fields at low-levels