Intercomparison of retrieval codes used for the analysis of high-resolution, ground-based FTIR measurements

Hase, Frank; Hannigan, James W.; Coffey, M. T.; Goldman, A.; Höpfner, Michael; Jones, Nicholas; Rinsland, C. P.; Wood, S.

doi:10.1016/j.jqsrt.2003.12.008

Cited by 376 publications

(337 citation statements)

References 40 publications

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“…The retrieval methodology uses two spectral microwindows with spectral width that depends on the NH 3 background concentration determined for the observation stations and location (wider window for stations with background concentrations less than one ppb (Rodgers, 2000) is used, implemented in the SFIT4 algorithm (Pougatchev et al, 1995;Hase et al, 2004Hase et al, , 2006. There are a number of species that can interfere to some extent in both windows, with the major species being H 2 O, CO 2 and O 3 and the minor species N 2 O, HNO 3 , CFC-12, and SF 6 .…”

Section: Ftir-nh 3 Retrievalmentioning

confidence: 99%

Validation of the CrIS fast physical NH3 retrieval with ground-based FTIR

et al. 2017

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Abstract. Presented here is the validation of the CrIS (Cross-track Infrared Sounder) fast physical NH 3 retrieval (CFPR) column and profile measurements using groundbased Fourier transform infrared (FTIR) observations. We use the total columns and profiles from seven FTIR sites in the Network for the Detection of Atmospheric Composition Change (NDACC) to validate the satellite data products. The overall FTIR and CrIS total columns have a positive correlation of r = 0.77 (N = 218) with very little bias (a slope of 1.02). Binning the comparisons by total column amounts, for concentrations larger than 1.0 × 10 16 molecules cm −2 , i.e. ranging from moderate to polluted conditions, the relative difference is on average ∼ 0-5 % with a standard deviation of 25-50 %, which is comparable to the estimated retrieval uncertainties in both CrIS and the FTIR. For the smallest total column range (< 1.0x × 10 16 molecules cm −2 ) where there are a large number of observations at or near the CrIS noise level (detection limit) the absolute differences between CrIS and the FTIR total columns show a slight positive column bias. The CrIS and FTIR profile comparison differences are mostly within the range of the single-level retrieved profile values from estimated retrieval uncertainties, showing average differences in the range of ∼ 20 to 40 %. The CrIS retrievals typically show good vertical sensitivity down into the boundary layer which typically peaks at ∼ 850 hPa (∼ 1.5 km). At this level the median absolute difference is 0.87 (std = ±0.08) ppb, corresponding to a median relative difference of 39 % (std = ±2 %). Most of the absolute andPublished by Copernicus Publications on behalf of the European Geosciences Union. 2646 E. Dammers et al.: Validation of the CrIS fast physical NH 3 retrieval with ground-based FTIR relative profile comparison differences are in the range of the estimated retrieval uncertainties. At the surface, where CrIS typically has lower sensitivity, it tends to overestimate in low-concentration conditions and underestimate in higher atmospheric concentration conditions.

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Section: Ftir-nh 3 Retrievalmentioning

confidence: 99%

Validation of the CrIS fast physical NH3 retrieval with ground-based FTIR

et al. 2017

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“…We use the same code (PROFFIT; Hase et al, 2004) for MUSICA's NDACC/FTIR and MetOp/IASI remote-sensing retrievals. In so doing, we want to ensure that the respective ground-and space-based data products are as consistent as possible.…”

Section: Remote Sensing Of Water Isotopologuesmentioning

confidence: 99%

The MUSICA MetOp/IASI H2O and δD products: characterisation and long-term comparison to NDACC/FTIR data

et al. 2014

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Abstract. Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water) ground-and space-based remote sensing as well as in situ data sets of tropospheric water vapour isotopologues are provided. The space-based remote-sensing data set is produced from spectra measured by the IASI (Infrared Atmospheric Sounding Interferometer) sensor and is potentially available on a global scale.Here, we present the MUSICA IASI data for three different geophysical locations (subtropics, midlatitudes, and Arctic), and we provide a comprehensive characterisation of the complex nature of such space-based isotopologue remotesensing products. The quality assessment study is complemented by a comparison to MUSICA's ground-based FTIR (Fourier Transform InfraRed) remote-sensing data retrieved from the spectra recorded at three different locations within the framework of NDACC (Network for the Detection of Atmospheric Composition Change).We confirm that IASI is able to measure tropospheric H 2 O profiles with a vertical resolution of about 4 km and a random error of about 10 %. In addition IASI can observe middle tropospheric δD that adds complementary value to IASI's middle tropospheric H 2 O observations. Our study presents theoretical and empirical proof that IASI has the capability for a global observation of middle tropospheric water vapour isotopologues on a daily timescale and at a quality that is sufficiently high for water cycle research purposes.

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“…The Bruker FTIR instrument (IFS 120 M, which made in Ettlingen of German) was used for observations. The specifications for atmospheric spectrum measurements are based on the Network for the Detection of Atmospheric Composition Change [29,30]. Observation of greenhouse gases has been carried out for several years [31].…”

Section: Ground-based Measurement Of Chmentioning

confidence: 99%

Spatiotemporal variations in mid-upper tropospheric methane over China from satellite observations

et al. 2011

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Spaceborne measurements by the Atmospheric Infrared Sounder (AIRS) on the EOS/Aqua satellite provide a global view of methane (CH 4 ) distribution in the mid-upper troposphere (MUT-CH 4 ). The focus of this study is to analyze the spatiotemporal variations in MUT-CH 4 over China from 2003 to 2008. Validation of AIRS CH 4 products versus Fourier transform infrared profiles demonstrates that its RMS error is mostly less than 1.5%. A typical atmospheric methane profile is found that shows how concentrations decrease as height increases because of surface emissions. We found that an important feature in the seasonal variation in CH 4 is the two peaks that exist in summer and winter in most parts of China, which is also observed in in-situ measurements at Mt. Waliguan, Qinghai Province, China (36.2879°N 100.8964°E, 3810 m). Also, in the summer, only one peak existed in western and southern China since there are no more significant anthropogenic sources in winter than at any other time of the year.

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Intercomparison of retrieval codes used for the analysis of high-resolution, ground-based FTIR measurements

Cited by 376 publications

References 40 publications

Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR

Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR

The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data

Spatiotemporal variations in mid-upper tropospheric methane over China from satellite observations

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Intercomparison of retrieval codes used for the analysis of high-resolution, ground-based FTIR measurements

Cited by 376 publications

References 40 publications

Validation of the CrIS fast physical NH&lt;sub&gt;3&lt;/sub&gt; retrieval with ground-based FTIR

Validation of the CrIS fast physical NH&lt;sub&gt;3&lt;/sub&gt; retrieval with ground-based FTIR

The MUSICA MetOp/IASI H&lt;sub&gt;2&lt;/sub&gt;O and δD products: characterisation and long-term comparison to NDACC/FTIR data

Spatiotemporal variations in mid-upper tropospheric methane over China from satellite observations

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Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR

Validation of the CrIS fast physical NH<sub>3</sub> retrieval with ground-based FTIR

The MUSICA MetOp/IASI H<sub>2</sub>O and δD products: characterisation and long-term comparison to NDACC/FTIR data