Abstract

Abstract. This paper describes a new gas optical depth parameterisation implemented in the most recent release, version 13, of the radiative transfer model RTTOV (Radiative Transfer for TOVS). RTTOV is a fast, one-dimensional radiative transfer model for simulating top-of-atmosphere visible, infrared, and microwave radiances observed by downward-viewing space-borne passive sensors. A key component of the model is the fast parameterisation of absorption by the various gases in the atmosphere. The existing parameterisation in RTTOV has been extended over many years to allow for additional variable gases in RTTOV simulations and to account for solar radiation and better support geostationary sensors by extending the validity to higher zenith angles. However, there are limitations inherent in the current approach which make it difficult to develop it further, for example by adding new variable gases. We describe a new parameterisation that can be applied across the whole spectrum, that allows for a wide range of zenith angles in support of solar radiation and geostationary sensors, and for which it will be easier to add new variable gases in support of user requirements. Comparisons against line-by-line radiative transfer simulations and against observations in the ECMWF operational system yield promising results, suggesting that the new parameterisation generally compares well with the old one in terms of accuracy. Further validation is planned, including testing in operational numerical weather prediction data assimilation systems.

Highlights

  • RTTOV (Radiative Transfer for TOVS) (Saunders et al, 2018) is a fast, one-dimensional radiative transfer model for simulating top-of-atmosphere visible, infrared (IR), and microwave radiances observed by downward-viewing spaceborne passive sensors

  • RTTOV was originally developed at the European Centre for Medium-Range Weather Forecasts (ECMWF) in the 1990s to enable the direct assimilation of radiances in their operational numerical weather prediction system and since 1998 has undergone much development within the EUMETSAT-funded Numerical Weather Prediction Satellite Applications Facility (NWP SAF)

  • This paper presents a new optical depth parameterisation which has been implemented for the recent major release of RTTOV, version 13

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Summary

Introduction

RTTOV (Radiative Transfer for TOVS) (Saunders et al, 2018) is a fast, one-dimensional radiative transfer model for simulating top-of-atmosphere visible, infrared (IR), and microwave radiances observed by downward-viewing spaceborne passive sensors. HT-FRTC uses monochromatic calculations at an optimised set of wavenumbers as the predictors for the PC scores, while PC-RTTOV uses standard RTTOV-simulated radiances for several hundred channels. Such models can be very efficient when computing full radiance spectra for hyperspectral sensors with many channels. The Community Radiative Transfer Model (CRTM) (Chen et al, 2008; Ding et al, 2011) follows a method with some similarities to that in RTTOV: layer optical depths are predicted by a linear regression onto variables computed from the input atmospheric profile. The existing parameterisation of gas absorption optical depths employed by RTTOV has proved successful for many years in various operational and research applications but poses challenges in respect of future developments of the model.

The existing optical depth parameterisation
The new optical depth parameterisation
Rayleigh scattering
Comparisons to the LBL model for the dependent profiles
Comparisons for visible and near-IR channels
Comparisons to the LBL model for independent profiles
Jacobians
Validation in an operational NWP assimilation system
Conclusions
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