Issue |
EPJ Web of Conferences
Volume 89, 2015
AtmoHEAD 2014: Atmospheric Monitoring for High Energy AstroParticle Detectors
|
|
---|---|---|
Article Number | 03011 | |
Number of page(s) | 6 | |
Section | Instruments and Methods | |
DOI | https://doi.org/10.1051/epjconf/20158903011 | |
Published online | 26 March 2015 |
https://doi.org/10.1051/epjconf/20158903011
Retrieval of optically thin cloud emissivity from brightness temperatures provided by IR Camera of JEM-EUSO Mission
Universidad Carlos III de Madrid, Physics Department, Avda. de la Universidad 30, 28911 Leganés (Madrid), Spain
a e-mail: sbriz@fis.uc3m.es
Published online: 26 March 2015
Clouds interact with the radiation propagating through the atmosphere absorbing, reflecting and transmitting part of the energy. This interaction may lead to misinterpretation of data retrieved from the radiation observed by JEM-EUSO UV telescope. JEM-EUSO Mission includes an Atmospheric Monitoring System (AMS), consisting of a LIDAR and an IR Camera, devoted to provide the cloud coverage and the cloud height in the FOV of the main UV Telescope. Different methods can be applied to retrieve the cloud top height from IR images. Radiative algorithms are based on the Radiative Transfer Equation which changes significantly depending on the cloud optical depth (thick or thin clouds). The cloud temperature retrieval becomes much more difficult for thin ones. In this work we present a methodology based on brightness temperatures in 10.8 and 12 μm bands measured by the JEM-EUSO IR camera. The method uses Look Up Tables (LUTs). It has been validated with data obtained by simulation but also in real scenarios (MODIS images). The results are very promising for emissivities higher than 0.5. For lower emissivities, the retrievals become much more difficult since the IR radiation impinging the IR Camera also comes from other emitters (Earth surface and atmosphere beneath the cloud).
© 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.