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Jan. 30th, 2008Astromet-UVESO-Chile AstroMeteorology at the University of Valparaíso AstroMeteorology Group Omar Cuevas - Arlette Chacón Michel Curé Department of Physics and Astronomy Universidad de Valparaíso
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Jan. 30th, 2008Astromet-UVESO-Chile History Department of Physics and Meteorology Learning MM5 system model CONICYT - DAAD project: Stay at Munich Institute of Meteorology
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Jan. 30th, 2008Astromet-UVESO-Chile History First MM5 simulation For Paranal West-East Vertical Cross section Velocity field
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Jan. 30th, 2008Astromet-UVESO-Chile History First MM5 simulation For Paranal North - South Vertical Cross section Velocity field
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Jan. 30th, 2008Astromet-UVESO-Chile MIM (Munich Institute of Meteorology ): MM5 - Paranal MM5 Domains
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Jan. 30th, 2008Astromet-UVESO-Chile TKE Turbulent Kinetic Energy Present at Lower altitude levels MIM: MM5 - Paranal
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Jan. 30th, 2008Astromet-UVESO-Chile Trajectories MIM: MM5 - Paranal
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Jan. 30th, 2008Astromet-UVESO-Chile 15 km Cross section to 20º S Potential Vorticity (PV) (shadows colors) Specific humidity (black lines) Trajectories Omar Cuevas: MM5 user Universidad de Valparaíso 2003-2004 & 2006 Universidad de Chile 2004-2005
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Jan. 30th, 2008Astromet-UVESO-Chile Boundary Conditions NCAR/GFS ECMWF Atmospheric Modelling MM5
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Jan. 30th, 2008Astromet-UVESO-Chile MM5: Pre & Post Processing GFS ECMWF ETA… TERRAIN REGRID INTERPF MM5/MPP RIP GrADS Vis5D
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Jan. 30th, 2008Astromet-UVESO-Chile Macon project (2006-2007) ESO-UV contract (Marc Sarazin) + Arlette Chacón Objectives: Description of the zone: Orography and Climatology. Statistical analysis of turbulence data and seeing. Meteorological analysis for some events registered of seeing. Analysis of meteorological data of stations in-situ. Analysis of turbulence (Ri y TKE) and comparison with real data measured of seeing and turbulence (Cn 2 ).
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Jan. 30th, 2008Astromet-UV AstroMeteorology –Team
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Jan. 30th, 2008Astromet-UVESO-Chile Configuration of the model Module TERRAIN Example for Macón zone D1: 80 x 80 grids points. 27 km horizontal resolution. D2: 70 x 97 grids points. 9 km horizontal resolution. D3: 100 x181 grids points. 3 km horizontal resolution. D4:73 x 85 grids points. 1 km horizontal resolution.
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Jan. 30th, 2008Astromet-UVESO-Chile Paranal Macon Description of the zone
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Jan. 30th, 2008Astromet-UVESO-Chile Climatological Analysis (Re-Analysis) Temperature in 925 HPa Climatological Most Predominant condition: Anticyclonic Predominance
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Jan. 30th, 2008Astromet-UVESO-Chile MM5 Forecast Potential high (black lines) Relative vorticity (shadows colors) Satellite image of infrared chanel GOES-12
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Jan. 30th, 2008Astromet-UVESO-Chile Observed variables vs. simulated variables (MM5) Temperature Wind Speed Observed & Modeled Post-processed using a Kalman filter for ECMWF data in Paranal/La Silla
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Jan. 30th, 2008Astromet-UVESO-Chile Trajectories analysis: Paranal-Macón? Domain 2 Trajectories
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Jan. 30th, 2008Astromet-UVESO-Chile Trajectories analysis: Tolar-Macón? Domain 4 Trajectory 0.5 km over Macón
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Jan. 30th, 2008Astromet-UV Macon Tolar circulación cerrada Macon Tolar circulación cerrada Macon Tolar circulación cerrada Trajectories analysis: Tolar-Macón?
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Jan. 30th, 2008Astromet-UVESO-Chile Example: Heights crossed by trajectories Trajectories analysis
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Jan. 30th, 2008Astromet-UVESO-Chile Statistics of turbulence and seeing data
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Jan. 30th, 2008Astromet-UVESO-Chile Statistics of turbulence and seeing data
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Jan. 30th, 2008Astromet-UVESO-Chile Seeing vs wind speed
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Jan. 30th, 2008Astromet-UVESO-Chile Seeing vs wind speed
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Jan. 30th, 2008Astromet-UVESO-Chile Number of Richardson # Richardson for bad seeing case # Richardson for good seeing case A dimensionless parameter whose values determines if convection is free or forced
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Jan. 30th, 2008Astromet-UVESO-Chile TKE: Turbulent Kinetic Enregy
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Jan. 30th, 2008Astromet-UVESO-Chile TKE for bad case of seeing
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Jan. 30th, 2008Astromet-UVESO-Chile Thermal thickness: bad seeing (left) & “good” seeing (right)
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Jan. 30th, 2008Astromet-UVESO-Chile Gemini-South AstroMeteorology project Analysis of meteorological predominant conditions to Cerro Pachón. Analysis of observed data compared with simulated data. Statistics on data of seeing. Comparison of observation meteorological and simulate data with seeing data. Trajectory analysis. Comparison of atmospheric turbulence indexes, like TKE and Richardson number (Ri) with seeing. Web access to results
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Jan. 30th, 2008Astromet-UVESO-Chile Gemini South zone Southern Astrophysical Research Telescope
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Jan. 30th, 2008Astromet-UVESO-Chile AstroMet web page
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Jan. 30th, 2008Astromet-UVESO-Chile E-ELT - TMT
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Jan. 30th, 2008Astromet-UVESO-Chile 2290 m.a.s.l. 3064 m.a.s.l. 4477 m.a.s.l. Seeing episode: Aug 13th, 2006
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Jan. 30th, 2008Astromet-UVESO-Chile Tolar Tolonchar Armazones TERRAIN-MM5 Domain 3 Resolution : 3 km Macon
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Jan. 30th, 2008Astromet-UVESO-Chile Synoptic Analysis Anticiclonic Predominance Estratiform Cloudness (Costal trough= Vaguada Costera) Subtropical Jet Stream, low intensity Stable atmosphere. Water Vapor 00 UTCWater Vapor 03 UTCWater Vapor 09 UTC Infrared 00 UTC
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Jan. 30th, 2008Astromet-UVESO-Chile MM5 Simulation Anticyclonic Predominance (500 Hpa) Positive Vorticicity (anticiclonic) West Circulation Subtropical Jet Stream (250 Hpa) Low intensity Stable Atmosphere 03 UTC
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Jan. 30th, 2008Astromet-UVESO-Chile Tolar 05 UTC 06 UTC 07 UTC Thermal Perturbation First 4km Potential temp. Velocity field Potential vorticity 05 UTC06 UTC 07 UTC
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Jan. 30th, 2008Astromet-UVESO-Chile Tolonchar 03 UTC 04 UTC 05 UTC Thermal Perturbation: Not Clear Probably Mechanical First 10km Potential temp. Velocity field Potential vorticity 03 UTC 05 UTC
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Jan. 30th, 2008Astromet-UVESO-Chile Armazones 00 UTC Normal “good seeing” Night
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Jan. 30th, 2008Astromet-UVESO-Chile 2 km 1 km Tolar Tolonchar Armazones Trajectory analysis
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Jan. 30th, 2008Astromet-UVESO-Chile 4 km 8 km Trajectories analysis
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Jan. 30th, 2008Astromet-UVESO-Chile GPS-AstroMeteorology
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Jan. 30th, 2008Astromet-UV FINAL GOAL: www.dfa.uv.cl/astromet
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Jan. 30th, 2008Astromet-UV Operational forecast (GFS & MM5) for all Observatories in Chile Perform research in astrometeorology Forecast the Seeing …therefore help to optimize the resources and programming of the Observations FINAL GOAL
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