Area science event list: Difference between revisions
From HacDC Wiki
(update) |
(update) |
||
| Line 2: | Line 2: | ||
<nowiki> | <nowiki> | ||
August 2019 | August 2019 | ||
2 - noon - UMdES - Clean air for some: Unintended spillover effects of regional air pollution policies | 2 - noon - UMdES - Clean air for some: Unintended spillover effects of regional air pollution policies | ||
5 - 9PM - UMdObs - Cassini - Behind the Scenes of a Flagship Mission | 5 - 9PM - UMdObs - Cassini - Behind the Scenes of a Flagship Mission | ||
| Line 10: | Line 8: | ||
9 - noon - UMdES - NH3 and Halogens | 9 - noon - UMdES - NH3 and Halogens | ||
11 - NoVAC - X-ray Observations of Pulsars: Extreme Physics and a Galactic-scale GPS | 11 - NoVAC - X-ray Observations of Pulsars: Extreme Physics and a Galactic-scale GPS | ||
12 - 7:30PM - HacDC - monthly meeting | |||
13 - 7:30PM - HacDC - amateur radio | |||
20 - 9PM - UMdObs - Astronomy from 40,000 Feet: Observing Protostars with NASA's SOFIA Flying Observatory | 20 - 9PM - UMdObs - Astronomy from 40,000 Feet: Observing Protostars with NASA's SOFIA Flying Observatory | ||
September | September | ||
Revision as of 03:21, 2 August 2019
See wiki.hacdc.org/index.php/Area_science_event_info for the "instruction manual" for this list. August 2019 2 - noon - UMdES - Clean air for some: Unintended spillover effects of regional air pollution policies 5 - 9PM - UMdObs - Cassini - Behind the Scenes of a Flagship Mission 6 - 8PM - STScI - Tiny Stellar Islands in a Big Old Universe 8 - noon - NOAA - 2018 State of U.S. High Tide Flooding with a 2019 Outlook 9 - noon - UMdES - NH3 and Halogens 11 - NoVAC - X-ray Observations of Pulsars: Extreme Physics and a Galactic-scale GPS 12 - 7:30PM - HacDC - monthly meeting 13 - 7:30PM - HacDC - amateur radio 20 - 9PM - UMdObs - Astronomy from 40,000 Feet: Observing Protostars with NASA's SOFIA Flying Observatory September 3 - 8PM - STScI - The Astronomer's Toolkit 18 - noon - NOAA - Assimilation of Satellite Microwave Observations in the Rainband of Hurricanes using a Novel Bayesian Monte Carlo Technique