Forward model and Jacobians for Tropospheric Emission Spectrometer retrievals

Clough, S. A.; Shephard, Mark W.; Worden, J.; Brown, P.; Worden, H. M.; Luo, M.; Rodgers, C. D.; Rinsland, C. P.; Goldman, A.; Brown, Linda R.; Kulawik, S. S.; Eldering, A.; Lampel, M.; Osterman, G. B.; Beer, R.; Bowman, K. W.; Cady‐Pereira, Karen; Mlawer, E. J.

doi:10.1109/tgrs.2005.860986

Cited by 94 publications

(65 citation statements)

References 54 publications

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“…TES retrievals of trace gas profiles are based on an optimal estimation approach (with a priori constraints) that minimizes the differences between the TES Level 1B spectra and a radiative transfer calculation that uses absorption coefficients calculated with the line-by-line radiative transfer model LBLRTM [20,[42][43][44][45]. Current Level 2 products from TES (V004) include retrieved profiles of CO, O 3 , H 2 O, HDO, and CH 4 .…”

Section: Tes Special Observations During Arctas-bmentioning

confidence: 99%

Emission Ratios for Ammonia and Formic Acid and Observations of Peroxy Acetyl Nitrate (PAN) and Ethylene in Biomass Burning Smoke as Seen by the Tropospheric Emission Spectrometer (TES)

et al. 2011

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Abstract:We use the Tropospheric Emission Spectrometer (TES) aboard the NASA Aura satellite to determine the concentrations of the trace gases ammonia (NH 3 ) and formic acid (HCOOH) within boreal biomass burning plumes, and present the first detection of peroxy acetyl nitrate (PAN) and ethylene (C 2 H 4 ) by TES. We focus on two fresh Canadian plumes observed by TES in the summer of 2008 as part of the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS-B) campaign. We use TES retrievals of NH 3 and HCOOH within the smoke plumes to calculate their emission ratios (1.0% ± 0.5% and 0.31% ± 0.21%, respectively) relative to CO for these Canadian fires. The TES derived emission ratios for these gases agree well with previous aircraft and satellite estimates, and can complement ground-based studies that have greater surface sensitivity. We find that TES observes PAN mixing ratios of ~2 ppb within these mid-tropospheric boreal biomass burning plumes when the average cloud optical depth is low (<0.1) and that TES can detect C 2 H 4 mixing ratios of ~2 ppb in fresh biomass burning smoke plumes. OPEN ACCESSAtmosphere 2011, 2 634

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Section: Tes Special Observations During Arctas-bmentioning

confidence: 99%

Emission Ratios for Ammonia and Formic Acid and Observations of Peroxy Acetyl Nitrate (PAN) and Ethylene in Biomass Burning Smoke as Seen by the Tropospheric Emission Spectrometer (TES)

et al. 2011

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“…There is a lot of effort devoted to the development of fast radiative transfer models (RTMs) for simulating radiances observed by these hyperspectral instruments (McMillin et al, 1995(McMillin et al, , 1997Armbruster and Fischer, 1996;Tjemkes and Schmetz, 1997;Matricardi and Saunders, 1999;Edwards and Francis, 2000;Saunders et al, 1999;Liu et al, 2003;Matricardi, 2003;Moncet et al, 2004;Strow et al, 2003Strow et al, , 2006Clough et al, 2006). These models are much faster than line-by-line (LBL) RTMs, but it is still challenging to incorporate thousands of channel radiances into data assimilation systems or variational retrieval systems due to computational limitations.…”

Section: Introductionmentioning

confidence: 99%

“…The PCRTM fast forward model was trained with v8.3 of the LBLRTM, while the OSS fast forward model was trained with v6.01 of the LBLRTM. In v8.3, the chi line-shape factor and the continuum for CO 2 optical depth calculations have been modified in the 500 cm −1 to 900 cm −1 regions, resulting in an overall increase in CO 2 absorption (Clough et al, 2006). In version 6.01 of the LBLRTM, the CKD 2.4.1 water continuum model was used while the version 8.3 uses the MT CKD 1.0 continuum model.…”

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confidence: 99%

Case-study of a principal-component-based radiative transfer forward model and retrieval algorithm using EAQUATE data

Liu

Zhou

Larar

et al. 2007

Q.J.R. Meteorol. Soc.

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ABSTRACT:The objective of the paper is to apply a novel radiative transfer model and a physical retrieval algorithm to hyperspectral data taken during the European Aqua Atmospheric Thermodynamics Experiment (EAQUATE) campaign. A principal-component-based radiative transfer model (PCRTM) is used to calculate projection coefficients of the radiance spectrum onto a set of predefined empirical orthogonal functions (EOFs) and associated derivatives with respect to the state vector. Instead of fitting channel radiances, the physical retrieval algorithm iteratively fits the principal component (PC) scores or the EOF projection coefficients of the observed radiance spectrum using the PCRTM as its forward model. Since the EOFs are orthonormal to each other, only a few PC scores are needed to capture the information content of the radiance spectrum, therefore reducing the computational time needed for running both the forward model and the inversion. This paper demonstrates the application of such a physical algorithm for retrieving atmospheric temperature, moisture and ozone profiles, and surface properties such as surface skin temperature and surface emissivity. The results have been compared with those obtained with a NAST-I channel-based physical retrieval algorithm and with those obtained from collocated radiosonde and LIDAR measurements.

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“…The TES forward model is described in Clough et al (2006). Calculations of radiances and Jacobians are performed using a fixed pressure grid of 66 levels.…”

Section: Retrieval Inputmentioning

confidence: 99%

Extending the satellite data record of tropospheric ozone profiles from Aura-TES to MetOp-IASI: characterisation of optimal estimation retrievals

et al. 2014

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Abstract. We apply the Tropospheric Emission Spectrometer (TES) ozone retrieval algorithm to Infrared Atmospheric Sounding Instrument (IASI) radiances and characterise the uncertainties and information content of the retrieved ozone profiles. This study focuses on mid-latitudes for the year 2008. We validate our results by comparing the IASI ozone profiles to ozone sondes. In the sonde comparisons, we find a negative bias (1-10 %) in the IASI profiles in the lower to mid-troposphere and a positive bias (up to 14 %) in the upper troposphere/lower stratosphere (UTLS) region. For the described cases, the degrees of freedom for signal are on average 3.2, 0.3, 0.8, and 0.9 for the columns 0 km -top of atmosphere, (0-6), (0-11), and (8-16) km, respectively. We find that our biases with respect to sondes and our degrees of freedom for signal for ozone are comparable to previously published results from other IASI ozone algorithms. In addition to evaluating biases, we validate the retrieval errors by comparing predicted errors to the sample covariance matrix of the IASI observations themselves. For the predicted versus empirical error comparison, we find that these errors are consistent and that the measurement noise and the interference of temperature and water vapour on the retrieval together mostly explain the empirically derived random errors. In general, the precision of the IASI ozone profiles is better than 20 %.

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Forward model and Jacobians for Tropospheric Emission Spectrometer retrievals

Cited by 94 publications

References 54 publications

Emission Ratios for Ammonia and Formic Acid and Observations of Peroxy Acetyl Nitrate (PAN) and Ethylene in Biomass Burning Smoke as Seen by the Tropospheric Emission Spectrometer (TES)

Emission Ratios for Ammonia and Formic Acid and Observations of Peroxy Acetyl Nitrate (PAN) and Ethylene in Biomass Burning Smoke as Seen by the Tropospheric Emission Spectrometer (TES)

Case-study of a principal-component-based radiative transfer forward model and retrieval algorithm using EAQUATE data

Extending the satellite data record of tropospheric ozone profiles from Aura-TES to MetOp-IASI: characterisation of optimal estimation retrievals

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