Issue |
EPJ Web of Conferences
Volume 89, 2015
AtmoHEAD 2014: Atmospheric Monitoring for High Energy AstroParticle Detectors
|
|
---|---|---|
Article Number | 03012 | |
Number of page(s) | 4 | |
Section | Instruments and Methods | |
DOI | https://doi.org/10.1051/epjconf/20148903012 | |
Published online | 21 December 2015 |
https://doi.org/10.1051/epjconf/20148903012
Remote Sensing of Clouds using Satellites, Lidars, CLF/XLF and IR Cameras at the Pierre Auger Observatory
1 Michigan Technological University, Houghton - MI, USA
2 Observatorio Pierre Auger, Av. San Martin Norte 304, 5613 Malargue, Argentina
a e-mail: jmchirin@mtu.edu
b Full author list: http://www.auger.org/archive/authors_2014_09.html
Published online: 21 December 2015
Clouds in the field of view of the fluorescence detectors affect the detection of the extensive air showers. Several remote sensing techniques are used to detect night-time clouds over the 3000 km2 of the Pierre Auger Observatory. Four lidars at the fluorescence detector sites are performing different patterns of scans of the surrounding sky detecting clouds. Two laser facilities (CLF and XLF) are shooting into the sky delivering cloud cover above them every 15 minutes. Four IR cameras detect the presence of clouds within the FOV of the fluorescence detectors every 5 minutes. A method using GOES-12 and GOES-13 satellites identifies night-time clouds twice per hour with a spatial resolution of 2.4 km by 5.5 km over the Observatory. We upload all this information into several databases to be used for the reconstruction of cosmic ray events and to find exotic events.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.