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Atacama Weather

Atacama Weather. Atacama Weather July 29, 2003 Fayette Shaw Michael Wagner Robotics Institute. Weather Station Purpose. Record the weather at the site to answer science and engineering questions What environmental conditions are expected during the mission?

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Atacama Weather

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  1. Atacama Weather Atacama Weather July 29, 2003 Fayette ShawMichael Wagner Robotics Institute Carnegie Mellon

  2. Weather Station Purpose • Record the weather at the site to answer science and engineering questions • What environmental conditions are expected during the mission? • How do these conditions affect rover performance and configuration? • How do these conditions correlate with the existence of microorganisms? Carnegie Mellon

  3. Weather Station • Variables continuously logged the following from April 11 to 26: • Temperature • Relative Humidity • Wind Direction and Speed • Insolation • Campbell Scientific CM3 Pyranometer • Directed Perception PTU and solar panels • Data logging • Campbell Scientific CM10 data unit • Analogous to a lander Carnegie Mellon

  4. Temperature Carnegie Mellon

  5. Temperature – Statistics Peak temperature was 30.02º C April 10th Carnegie Mellon

  6. Humidity Carnegie Mellon

  7. Humidity Example for a Single Day Humidity peaks at night reaching > 90% Carnegie Mellon

  8. Relative Humidity – Statistics Carnegie Mellon

  9. Wind Speed Carnegie Mellon

  10. N E S W N Wind Direction Wind Direction April 18th the day the robot almost fell off the edge the earth N E W S Max speed @ weather station: 32 kph (9 m/s) Max speed @ robot: ~55 kph (15.3 m/s) Carnegie Mellon

  11. Wind Direction N E S W N Example for a Single Day High winds in the afternoon 32.5 kph (9 m/s) Afternoon wind trend Carnegie Mellon

  12. Wind Speed - Statistics Carnegie Mellon

  13. Dust Devil Photo taken April 25th by Trey Smith Carnegie Mellon

  14. Insolation Overcast day followed by missing data Carnegie Mellon

  15. Insolation – Clear day Statistics Characteristic Clear Day Curve April 10, 12, 13, 17, 18, 19, 20, 21 Carnegie Mellon

  16. Characteristic Insolation Curves Partly Cloudy: April 11, 15, 16, 22, 24, 25, 26 Partly Cloudy Overcast: April 23 Carnegie Mellon

  17. Trends • Seasonal Trends • Since April is autumn in the Southern Hemisphere: • Decreasing temperature • Decreasing insolation • Increasing cloud cover • Daily Trends • Afternoon: NNW wind • Night: humidity Carnegie Mellon

  18. Future Analysis • Refine design parameters for rover • Wind speed sensor • Leaf sensor to measure condensation • Consider maximum temperature for sensors • Alter solar panel configuration based on insolation and wind data • Construct mission operations based on environmental characteristics • Avoid or operate at certain times based on • Afternoon wind • Insolation • Humidity Carnegie Mellon

  19. Recommendations for Weather Station Francisco Calderon P. and Allan Luders M. • Power Manager and User Interface • Decrease daily power consumption while maximizing data logged • Power each component separately • Monitor battery power and shut off components accordingly to prevent abrupt powerdown • User-friendly interface to control station • Software • Automatic photospectrometer operation • Logging software which separates data by day and instrument. Automate generation of graphs Carnegie Mellon

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