ARTS, the atmospheric radiative transfer simulator

Buehler, Stefan; Eriksson, Patrick; Kühn, Thomas; Engeln, Axel von; Verdes, C.

doi:10.1016/j.jqsrt.2004.05.051

Cited by 250 publications

(185 citation statements)

References 32 publications

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“…Earlier ARTS versions (Buehler et al, 2005a;Eriksson et al, 2011a) follow the common approach of standard air foreign broadening and pressure shift parameters, calculating the pressure-broadened line width γ L as…”

Section: Line Spectroscopymentioning

confidence: 99%

“…In most cases, this is a good approximation. The atmosphere is dispersive at frequencies around strong transitions, but as discussed in Buehler et al (2005a), this effect can in practice be neglected because it is associated with very high absorption.…”

Section: Dispersionmentioning

confidence: 99%

“…The line-byline absorption calculation itself, however, does also work in the solar spectral range and has been used by Gasteiger et al (2014) to pre-calculate absorption cross sections for li- Absorption vector, extinction matrix, and discrete angular grid four-by-four phase matrix (have to be externally generated) Jacobian calculation Analytical and/or semi-analytical for clear-sky variables; no Jacobians in the presence of scattering in the version described in this article, but this feature is under development bRadtran (Emde et al, 2016), using the simulated annealing method described in Buehler et al (2010). There are only two previous publications that describe earlier versions of ARTS as a whole (Buehler et al, 2005a andEriksson et al, 2011a), but many of the main building blocks of ARTS and the tools around it have been described in dedicated publications. Besides the already mentioned DOIT and MC scattering solvers, important building blocks are the method to pre-calculate and store gas absorption data and the method to handle sensor characteristics by building up a comprehensive sparse matrix sensor representation .…”

Section: Introductionmentioning

confidence: 99%

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ARTS, the Atmospheric Radiative Transfer Simulator – version 2.2, the planetary toolbox edition

Buehler¹,

Mendrok²,

Eriksson³

et al. 2018

Geosci. Model Dev.

143

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Abstract. This article describes the latest stable release (version 2.2) of the Atmospheric Radiative Transfer Simulator (ARTS), a public domain software for radiative transfer simulations in the thermal spectral range (microwave to infrared). The main feature of this release is a planetary toolbox that allows simulations for the planets Venus, Mars, and Jupiter, in addition to Earth. This required considerable model adaptations, most notably in the area of gaseous absorption calculations. Other new features are also described, notably radio link budgets (including the effect of Faraday rotation that changes the polarization state) and the treatment of Zeeman splitting for oxygen spectral lines. The latter is relevant, for example, for the various operational microwave satellite temperature sensors of the Advanced Microwave Sounding Unit (AMSU) family.

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Section: Line Spectroscopymentioning

confidence: 99%

Section: Dispersionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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ARTS, the Atmospheric Radiative Transfer Simulator – version 2.2, the planetary toolbox edition

Buehler¹,

Mendrok²,

Eriksson³

et al. 2018

Geosci. Model Dev.

143

View full text Add to dashboard Cite

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“…ARTS is a general purpose radiative transfer program, with a focus on supporting passive microwave sounding techniques (Buehler et al, 2005). It is publicly available software.…”

Section: General About Artsmentioning

confidence: 99%

“…The horizontal retrieval grid covers 50 • AAO centred around the batch with a spacing of 0.5 • . For both the forward model and retrieval grid the values are treated to vary linearly between the grid points (Buehler et al, 2005), thus effectively, a bilinear interpolation is applied to convert between the two grids.…”

Section: The State Vectormentioning

confidence: 99%

Tomographic retrieval of water vapour and temperature around polar mesospheric clouds using Odin-SMR

et al. 2015

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Abstract.A special observation mode of the Odin satellite provides the first simultaneous measurements of water vapour, temperature and polar mesospheric cloud (PMC) brightness over a large geographical area while still resolving both horizontal and vertical structures in the clouds and background atmosphere. The observation mode was activated during June, July and August of 2010 and 2011, and for latitudes between 50 and 82 • N. This paper focuses on the water vapour and temperature measurements carried out with Odin's sub-millimetre radiometer (SMR). The tomographic retrieval approach used provides water vapour and temperature between 75 and 90 km with a vertical resolution of about 2.5 km and a horizontal resolution of about 200 km. The precision of the measurements is estimated to 0.2 ppmv for water vapour and 2 K for temperature. Due to limited information about the pressure at the measured altitudes, the results have large uncertainties (> 3 ppmv) in the retrieved water vapour. These errors, however, influence mainly the mean atmosphere retrieved for each orbit, and variations around this mean are still reliably captured by the measurements.SMR measurements are performed using two different mixer chains, denoted as frequency mode 19 and 13. Systematic differences between the two frontends have been noted. A first comparison with the Solar Occultation For Ice Experiment instrument (SOFIE) on-board the Aeronomy of Ice in the Mesosphere (AIM) satellite and the Fourier Transform Spectrometer of the Atmospheric Chemistry Experiment (ACE-FTS) on-board SCISAT indicates that the measurements using the frequency mode 19 have a significant low bias in both temperature (> 15 K) and water vapour (> 0.5 ppmv), while the measurements using frequency mode 13 agree with the other instruments considering estimated errors.PMC brightness data is provided by OSIRIS, Odin's other sensor. Combined SMR and OSIRIS data for some example orbits is considered. For these orbits, effects of PMCs on the water vapour distribution are clearly seen. Areas depleted of water vapour are found above layers with PMC, while regions of enhanced water vapour due to ice particle sedimentation are primarily placed between and under the clouds.

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Microwave hyperspectral measurements for temperature and humidity atmospheric profiling from satellite: The clear‐sky case

et al. 2015

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This study investigates the benefits of a satellite HYperspectral Microwave Sensor (HYMS) for the retrieval of atmospheric temperature and humidity profiles, in the context of numerical weather prediction (NWP). In the infrared, hyperspectral instruments have already improved the accuracy of NWP forecasts. Microwave instruments so far only provide observations for a limited number of carefully selected channels. An information content analysis is conducted here to assess the impact of hyperspectral microwave measurements on the retrieval of temperature and water vapor profiles under clear‐sky conditions. It uses radiative transfer simulations over a large variety of atmospheric situations. It accounts for realistic observation (instrument and radiative transfer) noise and for a priori information assumptions compatible with NWP practices. The estimated retrieval performance of the HYMS instrument is compared to those of the microwave instruments to be deployed on board the future generation of European operational meteorological satellites (MetOp‐SG). The results confirm the positive impact of a HYMS instrument on the atmospheric profiling capabilities compared to MetOp‐SG. Temperature retrieval uncertainty, compared to a priori information, is reduced by 2 to 10%, depending on the atmospheric height, and improvement rates are much higher than what will be obtained with MetOp‐SG. For humidity sounding these improvements can reach 30%, a significant benefit as compared to MetOp‐SG results especially below 250 hPa. The results are not very sensitive to the instrument noise, under our assumptions. The main impact provided by the hyperspectral information originates from the higher resolution in the O2 band around 60 GHz. The results are presented over ocean at nadir, but similar conclusions are obtained for other incidence angles and over land.

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ARTS, the atmospheric radiative transfer simulator

Cited by 250 publications

References 32 publications

ARTS, the Atmospheric Radiative Transfer Simulator – version 2.2, the planetary toolbox edition

ARTS, the Atmospheric Radiative Transfer Simulator – version 2.2, the planetary toolbox edition

Tomographic retrieval of water vapour and temperature around polar mesospheric clouds using Odin-SMR

Microwave hyperspectral measurements for temperature and humidity atmospheric profiling from satellite: The clear‐sky case

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