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South American climate - climate prediction (currently acting as Vice-dean) ... Sebastian Vicu a (Post-Doc) Ph.D. Hydrology, University of Berkley, USA. ... – PowerPoint PPT presentation

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Title: Presentacin de PowerPoint


1
Meteorology Group Departamento de Geofísica
Facultad de Ciencias Físicas y
Matemáticas Universidad de Chile
2
Full time professors Patricio Aceituno G.
Ph.D. in Meteorology, University of Wisconsin,
USA. South American climate
- climate prediction (currently acting as
Vice-dean) René Garreaud S. Ph.D. in Atmospheric
Sciences, University of Washington, USA. Synoptic
meteorology Mountain meteorology Ricardo Muñoz
M. Ph.D. in Meteorology, Pennsylvania State
University. USA. Atmospheric boundary layer
Numerical modeling Roberto Rondanelli R. M.Sc.
in Geophysics, Universidad de Chile. - Ph.D.
candidate in Meteorology (MIT). Climate change
Atmospheric chemistry. Laura Gallardo K. Ph.D.
in Meteorology. Stockholm University, Sweden.
Atmospheric chemistry Air pollution- Climate
change. José Rutllant C. Ph.D. in Meteorology,
University of Wisconsin (Madison), USA. Dynamics
of the arid climates Air-sea interaction
(Retired and re-hired!) Humberto Fuenzalida P.
(Part time) Ph.D. in Atmospheric Sciences,
University of Michigan, USA. Climate and
paleoclimate Radiative transfer
(Retiredpartially)
3
Research associates Maisa Rojas (Research
Associate) Ph.D. Atmospheric Sciences, Oxford
University, UK Dynamical downscaling, Climate
Change Rainer Schmitz (Research Associate) Ph.D.
Chemical Engineering, University of Birmingham,
UK Atmospheric modeling, tropospheric ozone,
areosols Mark Falvey (Research Associate) Ph.D.
Geophysics, Victoria University of Wellington,
New Zealand. GPS Meteorology, orographic
rainfall Brad Barrett (Post-Doc) Ph.D.
Meteorology, University of Oklahoma, USA.
Synoptic Meteorology, orographic rainfall Dave
Rand (Post-Doc) Ph.D. Meteorology, University of
Wyoming, USA. Marine Meteorology (MBL). Sebastian
Vicuña (Post-Doc) Ph.D. Hydrology, University of
Berkley, USA. Hydrological modeling, climate
change 2 Ph.D. students and 6 M.Sc studentes
4
RESEARCH
Climatology
Climate Change on SA Secular trends in T and R
ENSO on SA Mechanims Predictability
Continental
SCu deck SA Diurnal-to-interannual var.
Regional Meteorology
Climate of the Altiplano
Climate of the Chile-Perú Desert Mechanisms of
hyper-aridity
Regional
Air quality modeling
Baroclinic Disturbances - Andes Coastal lows,
Cold-surges, Cut off lows, orographic rainfall
Global UV radiation Measurements, modeling,
impacts
Air-sea interaction
Local Circulations Metorological air pollution
potential Wind energy potential
Local
Chilean Air Chemistry mode / WRF-Cheml Transport,
O3, aerosols
Day
Month
Year
Century
5
Fondecyt funded, peer-reviewed projects
Years
90 95 00
05 10
Climate change Secular trends
CC1
CC2
CCQ
VarClim
Interannual variability predictability
Pro2
IA
ID
Sur
RegCM
Altiplano Climate summer convection
A1
A2
ChC
Coastal lows and Downslope flows
BC
Raco
VOCALS
Synoptic mesoscale meteorology
NWP
COLs
OroPrec?
OR
Air pollution, aerosols UV radiation
POPCAS
UV
O3, PM10 Forecast
MBL and PBL in North-central Chile
PBL
DICLIMA
SCu
VOCALS
6
(No Transcript)
7
Fig. 9 Coeficientes de correlación entre series
estacionales (30 años) de precipitación en 10
estaciones del centro y sur de Chile, y la
frecuencia de APPs asociada al grupo indicado.
Grupos-APP representados mediante compuestos
normalizados. DJF amarillo MAM rojo JJA
azul SON verde
8
Blocking events and rainfall very sensitive
relationship
9
Regional view (SAT)
East Andes
West Andes
inland
coast
offshore
10
Cooling MBL / warming lower free troposphere ?
increased lower tropospheric stability . Sc?
11
How are the models doing? Not good but no so bad..
20C runs CMIP3 (AR4)
12
Multimodel mean Regional warming 1970-2000 (SST
anomaly). Also shown in contours SLP trend
20C runs CMIP3 (AR4)
Global mean 0.2º/dec
13
Precipitation Changes.warming, drying south
  • Rainy climate
  • MAP ? 1000-3000 mm
  • ?(IA)/MAP ? 0.1
  • Weak ENSO Impact
  • Significant drying trend

Ref. Quintana, 2004
  • Semiarid climate
  • MAP ? 30-500 mm
  • ?(IA)/MAP ? 0.3 0.5
  • Strong ENSO Impact
  • No significant trend

14
REx October November 2008
15
Improve the performance of Meteorological Models
Met. Models tend to overestimate Precipitation by
a factor 2 Should we better tune the
microphysical parameterization?
Latitude
16
  • Education
  • Undergraduate courses in Meteorology
  • (Engineering School, U. de Chile)Minor in
    Met???
  • Continuous education
  • (training courses tailored to particular
    sectors).
  • Master in Atmospheric Sciences (new!, hot!)
  • (Profesionally oriented)
  • Ph.D. in Fluidynamics (at FCFM)

17
Networking Recent, co-authored papers
SFRI
UVigo
SUNY
NCCR
UW
IRI
RSMAS
CPTEC
USid
CEAZA
UBA
NIWA
CECS
IANIGLA
Mechanisms Data sharing, tech training, mid-term
visits,
18
  • Resources
  • Updated library Subscription to major journals
    (AMS, AGU, etc.)
  • Extensive Unix-Linux WS network (cuad-coreno
    more clusters)
  • Extensive data base (global and regional)   
  • GOES High resolution Ground Station
  • 10 Full automatic weather stations
  • 1 CL-31 laser ceilometer
  • Testing a met sonde mounted in a UAV
  • AIR radiosonde and Tethered balloon station
  • 1 Pilot balloon system

19
  • Models
  • Kinematic (Air pollution)
  • CALMET-CALPUFF
  • HySplit (trajectory analysis)
  • Synoptic-Scale (Weather)
  • MM5 (Real time, 3D and 1D Versions)
  • WRF (Real Time, 3D and 2D Versions)
  • WRF-CHEM
  • Large-scale (Climate applications)
  • PRECIS
  • Reg-CCM
  • PLASIM (a simple CGCM!!!)
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