| Issue |
EPJ Web of Conferences
Volume 89, 2015
AtmoHEAD 2014: Atmospheric Monitoring for High Energy AstroParticle Detectors
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 4 | |
| Section | Instruments and Methods | |
| DOI | https://doi.org/10.1051/epjconf/20158903004 | |
| Published online | 26 March 2015 | |
https://doi.org/10.1051/epjconf/20158903004
Retrieving cloud top height in the JEM-EUSO cosmic-ray observation system
1 Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain
2 INAF-IASF, Istituto di Astrofisica Spaziale e Fisica Cosmica, Palermo, Italy
3 DIETI, Università degli Studi di Napoli Federico II, Italy
4 Dipartimento di Fisica, Università degli Studi di Torino & INFN Torino, Italy
5 Istituto Nazionale di Fisica Nucleare – Sezione di Catania and Napoli, Italy
a e-mail: sbriz@fis.uc3m.es
Published online: 26 March 2015
The main telescope of JEM-EUSO will determine Ultra High Energy Cosmic Ray properties by measuring the UV fluorescence light generated in the interaction between the cosmic rays and the atmosphere. Therefore, cloud information is crucial for a proper interpretation of the data. JEM-EUSO will observe the clouds in the field of view of the telescope making use of an atmospheric monitoring system, which consists of a LIDAR and an IR Camera. To retrieve the cloud top height from IR images two different methodologies will be used. The first one is based on stereo vision algorithms and requires two different views of the same scene. The second one is based on the relationship between the cloud top temperature and the cloud top height. From the IR camera the brightness temperature can be retrieved, thus the developed Split Window Algorithm retrieves the real cloud temperature from the brightness temperature in two spectral bands. This article presents a preliminary work, in which both methodologies are compared with the height given by MODIS. The stereo system is provided by the two geostationary satellites MSG-2 and MSG-3. The Split Window Algorithm has been tested in MODIS images of bands 31 and 32. This initial work is a first step to compare a very simplified version of both methodologies.
© 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.
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