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Proceedings Paper

The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) and its application within Tactical Decision Aids (TDAs)
Author(s): Jean-Claude Thelen; Stephan Havemann; Gerald Wong
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Paper Abstract

The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) is a core component of the Met Office NEON Tactical Decision Aid (TDA). Within NEON, the HT-FRTC has for a number of years been used to predict the infrared apparent thermal contrasts between different surface types as observed by an airborne sensor. To achieve this, the HT-FRTC is supplied with the inherent temperatures and spectral properties of these surfaces (i.e. ground target(s) and backgrounds). A key strength of the HT-FRTC is its ability to take into account the detailed properties of the atmosphere, which in the context of NEON tend to be provided by a Numerical Weather Prediction (NWP) forecast model. While water vapour and ozone are generally the most important gases, additional trace gases are now being incorporated into the HT-FRTC. The HT-FRTC also includes an exact treatment of atmospheric scattering based on spherical harmonics. This allows for the treatment of several different aerosol species and of liquid and ice clouds. Recent developments can even account for rain and falling snow. The HT-FRTC works in Principal Component (PC) space and is trained on a wide variety of atmospheric and surface conditions, which significantly reduces the computational requirements regarding memory and processing time. One clear-sky simulation takes approximately one millisecond at the time of writing. Recent developments allow the training of HT-FRTC to be both completely generalised and sensor independent. This is significant as the user of the code can add new sensors and new surfaces/targets by supplying extra files which contain their (possibly classified) spectral properties. The HT-FRTC has been extended to cover the spectral range of Photopic and NVG sensors. One aim here is to give guidance on the expected, directionally resolved sky brightness, especially at night, again taking the actual or forecast atmospheric conditions into account. Recent developments include light level predictions during the period of twilight.

Paper Details

Date Published: 21 October 2015
PDF: 9 pages
Proc. SPIE 9653, Target and Background Signatures, 96530F (21 October 2015); doi: 10.1117/12.2194895
Show Author Affiliations
Jean-Claude Thelen, Met Office (United Kingdom)
Stephan Havemann, Met Office (United Kingdom)
Gerald Wong, Met Office (United Kingdom)


Published in SPIE Proceedings Vol. 9653:
Target and Background Signatures
Karin U. Stein; Ric H. M. A. Schleijpen, Editor(s)

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