Existing Scientific Instruments (of astronomical interest) AWS Concordia AWS Davis and AW11 (summer) 12 m Tower: Wind, Temperature, RH sensors at standard.

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Presentation transcript:

Existing Scientific Instruments (of astronomical interest) AWS Concordia AWS Davis and AW11 (summer) 12 m Tower: Wind, Temperature, RH sensors at standard levels, pressure and solar radiation sensors. 30 m Tower: 4 microthermals thermometers (MAST), 4 sonic anemometers (SONICS). (summer) Radiosounding Station BSRN Station Data Distribution at Concordia

Concordia AWS Data Distribution at Concordia

BSRN Station Data Distribution at Concordia

12 m Tower Data Distribution at Concordia

SONICS at the NSF Tower (30 m) Data Distribution at Concordia

Data Dissemination Real Time AWS Concordia, Davis, AW11, Radiosounding. Daily BSRN station, statistic values from AWS Concordia. Weekly Statistic values from AWS Concordia. Monthly Statistic values from AWS Concordia. After data are made available to the relevant P.I.’s Data from specific research projects running nearby the two towers (12 and 30 m). Data Distribution at Concordia

Data Samples 1.Real Time from AWS Concordia 2.Real Time from Radiosoundings 3.Daily file from BSRN Station 4.Average values from AWS Concordia, daily, weekly and monthly. 5.Data from Specific Projects located on, or nearby, the two towers (12 and 30 m). Data Distribution at Concordia

Real Time AvailabilitySourceFrequency Whom ask for data Real timeConcordia AWS Continuous data, sampled every 1 min and 30 min Physics of the atmosphere lab. Real time, at 12:00 UTC Concordia Sounding System DailyPhysics of the atmosphere lab. Data Distribution at Concordia

Daily AvailabilitySourceFrequency Whom ask for data dailyBSRN station1 minPhysics of the atmosphere lab. dailyConcordia AWS Average daily values Physics of the atmosphere lab. Data Distribution at Concordia

BSRN Output File Data Distribution at Concordia

Weekly and Monthly AvailabilitySourceFrequency Whom ask for data WeeklyConcordia AWS Average weekly values Physics of the atmosphere lab MonthlyConcordia AWS Average monthly values Physics of the atmosphere lab MonthlyConcordia AWS 1 day hourly files of the past month Physics of the atmosphere lab Data Distribution at Concordia

…a monthly print screen of Concordia AWS monitoring software Data Distribution at Concordia

…the 1 hour GRAPHS and DATASHEETS of each day of the month Data Distribution at Concordia

Data from Specific Research Projects SourceFrequency Whom ask for data ( P.I.’s) BSRN 1 min Optical Thickness Atmospheric Transmittance Cloud Cover Teodoro Georgiadis STABLEDC min Vertical Profiles till 300 m Surface Meteorology Stefania Argentini MAST 1 min Low Altitude Turbulence Estimation SONICS 1 min Temperature, Wind Speed and their Vertical Gradient till 30 m Tony Travouillon Data Distribution at Concordia

Uncertainty of the Measurements It’ s clear that all data provided in real time and near-real time at Concordia are preliminary, raw data, that need to be validated... and it takes time. All these data are, anyway, provided on-site to support and simplify the work of the scientific comunity. Temperature:  0.5 °C Relative Humidity: “critical”... Pressure:  0.3 hPa Wind Speed:  1 Kts (warning) Solar Radiation:  3 Wm 2 raw-data, the target of the BSRN is the highest of  1Wm 2 or 2%. Data Distribution at Concordia

Proposals for the IPY COCOA: Common Concordia Observatory of the Atmosphere. The basic idea of COCOA is to concentrate all the routine atmospheric instrumentation on the “NSF” tower at Concordia (possibly extended at 50 m) in order to benefit of common, integrated measurements, and to optimize measurements and resources. Radiosoundings will be done twice a day as part of the RMO program. Proposals for new installations: –A new high resolution mini-sodar. –The 13 m tower will be equipped with new sensors: 3 ultrasonic anemometers and 4 temperature-RH probes. –1 radiometer (microwave, to determine the temperature profile). –1 radiometer (in the visible and infrared). –1 lidar to measure the cloud cover. –1 star-fotometer to measures the optical thickness during the winter too (TAVERN). Real Time from BSRN station depending on the community’s co- operation. Data Distribution at Concordia

Conclusion At Concordia Station The most effective REAL TIME PRODUCT is... COLLABORATION in the field. A target that is hard to reach... but FEASIBLE. Thank You Data Distribution at Concordia Contact: