AstroMeteorology at the University of Valparaíso

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Jan. 30th, 2008 Astromet-UV ESO-Chile AstroMeteorology at the University of Valparaíso AstroMeteorology Group Omar Cuevas - Arlette Chacón Michel Curé Department of Physics and Astronomy Universidad de Valparaíso

description

AstroMeteorology at the University of Valparaíso. AstroMeteorology Group Omar Cuevas - Arlette Chacón Michel Curé Department of Physics and Astronomy Universidad de Valparaíso. History. Department of Physics and Meteorology Learning MM5 system model CONICYT - DAAD project: - PowerPoint PPT Presentation

Transcript of AstroMeteorology at the University of Valparaíso

Page 1: AstroMeteorology  at the  University of Valparaíso

Jan. 30th, 2008Jan. 30th, 2008 Astromet-UVAstromet-UV ESO-ChileESO-Chile

AstroMeteorology at the University of Valparaíso

AstroMeteorology GroupOmar Cuevas - Arlette Chacón

Michel Curé

Department of Physics and AstronomyUniversidad de Valparaíso

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History

Department of Physics and Meteorology

Learning MM5 system model CONICYT - DAAD project: Stay at Munich Institute of Meteorology

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History

First MM5 simulationForParanal

West-East Vertical Cross section

Velocity field

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History

First MM5 simulationForParanal

North - South Vertical Cross section

Velocity field

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MIM (Munich Institute of Meteorology ): MM5 - Paranal

MM5 Domains

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TKETurbulent KineticEnergy

Present at Lower altitude levels

MIM: MM5 - Paranal

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Trajectories

MIM: MM5 - Paranal

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15 km

Cross section to 20º S

Potential Vorticity (PV) (shadows colors)

Specific humidity (black lines)

TrajectoriesOmar Cuevas: MM5 userUniversidad de Valparaíso 2003-2004 & 2006

Universidad de Chile2004-2005

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Boundary Conditions

NCAR/GFSECMWF

Atmospheric Modelling

MM5

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MM5: Pre & Post Processing

GFSECMWFETA…

TERRAIN

REGRID

INTERPF

MM5/MPP

RIPGrADSVis5D

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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 (Cn2).

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AstroMeteorology –Team

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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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ParanalMacon

Description of the zone

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Climatological Analysis (Re-Analysis)

Temperature in 925 HPaClimatological

MostPredominantcondition:

AnticyclonicPredominance

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MM5 Forecast

Potential high (black lines)Relative vorticity (shadows colors) Satellite image of infrared chanel GOES-12

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Observed variables vs. simulated variables (MM5)

Temperature

Wind SpeedObserved & Modeled

Post-processed using aKalman filter for ECMWF data in Paranal/La Silla

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Trajectories analysis: Paranal-Macón?

Domain 2

Trajectories

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Trajectories analysis: Tolar-Macón?

Domain 4

Trajectory0.5 km over Macón

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Macon

Tolar

circulacióncerrada

Trajectories analysis: Tolar-Macón?

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Example:Heights crossed by trajectories

Trajectories analysis

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Statistics of turbulence and seeing data

N

Valid 43672

Missing 0

Mean ,9562

Median ,8209

Std. Deviation ,52784

Variante ,279

Minimum ,09

Maximum 3,09

Percentiles

25 ,5324

50 ,8209

75 1,3015

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Statistics of turbulence and seeing data

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Seeing vs wind speed

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Seeing vs wind speed

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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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TKE: Turbulent Kinetic Enregy

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TKE for bad case of seeing

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Thermal thickness: bad seeing (left) & “good” seeing (right)

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Gemini-South AstroMeteorology projectAnalysis 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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Gemini South zone

Southern Astrophysical

Research Telescope

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AstroMet web page

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E-ELT - TMT

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2290 m.a.s.l.

3064 m.a.s.l.

4477 m.a.s.l.

Seeing episode: Aug 13th, 2006

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Tolar

Tolonchar

Armazones

TERRAIN-MM5 Domain 3Resolution : 3 km

Macon

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Synoptic Analysis

•Anticiclonic Predominance

• Estratiform Cloudness (Costal trough= Vaguada Costera)

• Subtropical Jet Stream, low intensity

• Stable atmosphere.

Water Vapor 00 UTC Water Vapor 03 UTC Water Vapor 09 UTC

Infrared 00 UTC

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MM5 Simulation

•Anticyclonic Predominance (500 Hpa) • Positive Vorticicity (anticiclonic)

•West Circulation

• Subtropical Jet Stream (250 Hpa)

• Low intensity

• Stable Atmosphere

03 UTC 03 UTC

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Tolar

05 UTC 06 UTC

07 UTC

Thermal Perturbation

First 4km

Potential temp.Velocity fieldPotential vorticity

05 UTC 06 UTC

07 UTC

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Tolonchar

03 UTC

04 UTC

05 UTC

Thermal Perturbation: Not ClearProbably Mechanical

First 10km

Potential temp.Velocity fieldPotential vorticity

03 UTC

05 UTC

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Armazones

00 UTC

Normal “good seeing” Night

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2 km1 km

Tolar

Tolonchar

Armazones

Trajectory analysis

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4 km 8 km

Trajectories analysis

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GPS-AstroMeteorology

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FINAL GOAL: www.dfa.uv.cl/astromet

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• 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