Abstract

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).

Highlights

  • The aim of JEM-EUSO Mission is to identify the sources of Ultra High Energy Cosmic Rays (UHECR) [1] from the International Space Station

  • 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 design of JEM-EUSO IR Camera is constrained by JEM-EUSO requirements which have led to a bi-spectral camera with two 1 μm-width bands centered at 10.8 and 12 μm [5]

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Summary

Introduction

The aim of JEM-EUSO Mission is to identify the sources of Ultra High Energy Cosmic Rays (UHECR) [1] from the International Space Station. A simplified algorithm was designed and validated This Split Window Algorithm (SWA) was based on the bi-spectral design of the JEM-EUSO IR camera which measures the BT in two 1-μm width bands centred at 10.8 and 12 μm ([5, 6]). Our main objective is to design and evaluate a specific methodology for the JEM-EUSO IR camera to calculate the emissivity of the clouds. This cloud parameter will allow us to retrieve the CTT by the SWA if the emissivity is 1 (thick clouds) or other algorithm if the emissivity is lower than 1 (thin clouds).

LUT methodology
LUT generation procedure
LUT application procedure
LUT validation
LUT validation in simulated scenarios
Findings
Conclusions
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