IASI instrument: technical overview and measured performances

Blumstein, Denis; Chalon, G.; Carlier, Thierry; Buil, C.; Hébert, Philippe; Maciaszek, T.; Ponce, G.; Phulpin, T.; Tournier, Bernard; Siméoni, Denis; Astruc, Patrick; Clauss, Alain; Kayal, G; Jegou, R.

doi:10.1117/12.560907

Cited by 207 publications

(148 citation statements)

References 6 publications

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“…Quality assessment of remotely sensed δD has been performed theoretically (Worden et al, 2006;Schneider et al, 2006;Schneider and Hase, 2011;Lacour et al, 2012;Schneider et al, 2012;Boesch et al, 2013). So far empirical validation studies of tropospheric δD remote sensing products have been made with very few indirect references or have used a δD reference that itself was not comprehensively validated (Schneider and Hase, 2011;Boesch et al, 2013).…”

Section: Dyroff Et Al: Airborne Profiles Of Hdo / H 2 16 O In Thementioning

confidence: 99%

“…So far empirical validation studies of tropospheric δD remote sensing products have been made with very few indirect references or have used a δD reference that itself was not comprehensively validated (Schneider and Hase, 2011;Boesch et al, 2013). Recently Herman et al (2014) presented reference data for space-based remote sensing observations of the Tropospheric Emission Spectrometer (TES), which is important progress.…”

Section: Dyroff Et Al: Airborne Profiles Of Hdo / H 2 16 O In Thementioning

confidence: 99%

“…Both satellites are equipped with an IASI instrument as scientific payload (Blumstein et al, 2004). IASI measures nadir radiance spectra from which tropospheric H 16 2 O, HDO and δD vertical 440 profiles are retrieved (Schneider and Hase, 2011).…”

Section: Objective and Realizationmentioning

confidence: 99%

“…The flights were coordinated in time and location with the morning overpasses of the MetOp-A and B polar-orbiting satellites (Klaes et al, 2007). Both satellites are equipped with an IASI instrument as scientific payload (Blumstein et al, 2004). IASI measures nadir radiance spectra from which tropospheric H 16 2 O, HDO, and δD vertical profiles are retrieved (Schneider and Hase, 2011).…”

Section: Objective and Realizationmentioning

confidence: 99%

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Airborne in situ vertical profiling of HDO / H216O in the subtropical troposphere during the MUSICA remote sensing validation campaign

et al. 2015

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Abstract. Vertical profiles of water vapor (H 2 O) and its isotope ratio D/H expressed as δD(H 2 O) were measured in situ by the ISOWAT II diode-laser spectrometer during the MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water (MUSICA) airborne campaign. We present recent modifications of the instrument design. The instrument calibration on the ground as well as in flight is described. Based on the calibration measurements, the humidity-dependent uncertainty of our airborne data is determined. For the majority of the airborne data we achieved an accuracy (uncertainty of the mean) of (δD) ≈ 10 ‰. Vertical profiles between 150 and ∼ 7000 m were obtained during 7 days in July and August 2013 over the subtropical North Atlantic Ocean near Tenerife. The flights were coordinated with ground-based (Network for the Detection of Atmospheric Composition Change, NDACC) and space-based (Infrared Atmospheric Sounding Interferometer, IASI) FTIR remote sensing measurements of δD(H 2 O) as a means to validate the remote sensing humidity and δD(H 2 O) data products. The results of the validation are presented in detail in a separate paper (Schneider et al., 2014). The profiles were obtained with a high vertical resolution of around 3 m. By analyzing humidity and δD(H 2 O) correlations we were able to identify different layers of air masses with specific isotopic signatures. The results are discussed.

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Section: Dyroff Et Al: Airborne Profiles Of Hdo / H 2 16 O In Thementioning

confidence: 99%

Section: Dyroff Et Al: Airborne Profiles Of Hdo / H 2 16 O In Thementioning

confidence: 99%

Section: Objective and Realizationmentioning

confidence: 99%

Section: Objective and Realizationmentioning

confidence: 99%

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Airborne in situ vertical profiling of HDO / H216O in the subtropical troposphere during the MUSICA remote sensing validation campaign

et al. 2015

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“…While all of these systems cover nearly the same infrared spectral extent, they have very different number of channels, instrument line shapes, coverage continuity, and instrument noise. AIRS is a grating spectrometer having 2378 discrete spectral channels ranging from about 0.4 to 2.2 cm -1 resolution [9]; IASI is a Michelson interferometer with 8461 uniformly-spaced spectral channels of 0.5 cm -1 (apodized) resolution [10][11][12]; and CrIS is a Michelson interferometer having 1305 spectral channels of 0.625, 1.250, and 2.50 cm -1 (unapodized) spectral resolution [13,14], respectively, over its three continuous but non-overlapping bands. NAST-I has been particularly beneficial for these sensors since it covers basically the same spectral extent and does so with higher spectral resolution, a larger number of spectral channels, and without spectral gaps.…”

Section: Nast-i Field Campaign Contributionsmentioning

confidence: 99%

Airborne field experiments and select radiance analysis focused on SNPP validation

Larar¹,

Smith²,

Zhou³

et al. 2017

AIP Conference Proceedings

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Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation

et al. 2016

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An infrared-based optimal estimation (OE-IR) algorithm for retrieving ice cloud properties is evaluated. Specifically, the implementation of the algorithm with MODerate resolution Imaging Spectroradiometer (MODIS) observations is assessed in comparison with the operational retrieval products from MODIS on the Aqua satellite (MYD06), Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and the Imaging Infrared Radiometer (IIR); the latter two instruments fly on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite in the Afternoon Constellation (A-Train) with Aqua. The results show that OE-IR cloud optical thickness (τ) and effective radius (r eff ) retrievals perform best for ice clouds having 0.5 < τ < 7 and r eff < 50 μm. For global ice clouds, the averaged retrieval uncertainties of τ and r eff are 19% and 33%, respectively. For optically thick ice clouds with τ larger than 10, however, the τ and r eff retrieval uncertainties can exceed 30% and 50%, respectively. For ice cloud top height (h), the averaged global uncertainty is 0.48 km. Relatively large h uncertainty (e.g., > 1 km) occurs for τ < 0.5. Analysis of 1 month of the OE-IR retrievals shows large τ and r eff uncertainties in storm track regions and the southern oceans where convective clouds are frequently observed, as well as in high-latitude regions where temperature differences between the surface and cloud top are more ambiguous. Generally, comparisons between the OE-IR and the operational products show consistent τ and h retrievals. However, obvious differences between the OE-IR and the MODIS Collection 6 r eff are found.

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IASI instrument: technical overview and measured performances

Cited by 207 publications

References 6 publications

Airborne in situ vertical profiling of HDO / H<sub>2</sub><sup>16</sup>O in the subtropical troposphere during the MUSICA remote sensing validation campaign

Airborne in situ vertical profiling of HDO / H<sub>2</sub><sup>16</sup>O in the subtropical troposphere during the MUSICA remote sensing validation campaign

Airborne field experiments and select radiance analysis focused on SNPP validation

Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation

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IASI instrument: technical overview and measured performances

Cited by 207 publications

References 6 publications

Airborne in situ vertical profiling of HDO / H&lt;sub&gt;2&lt;/sub&gt;&lt;sup&gt;16&lt;/sup&gt;O in the subtropical troposphere during the MUSICA remote sensing validation campaign

Airborne in situ vertical profiling of HDO / H&lt;sub&gt;2&lt;/sub&gt;&lt;sup&gt;16&lt;/sup&gt;O in the subtropical troposphere during the MUSICA remote sensing validation campaign

Airborne field experiments and select radiance analysis focused on SNPP validation

Retrieval of ice cloud properties using an optimal estimation algorithm and MODIS infrared observations: 2. Retrieval evaluation

Contact Info

Product

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Airborne in situ vertical profiling of HDO / H<sub>2</sub><sup>16</sup>O in the subtropical troposphere during the MUSICA remote sensing validation campaign

Airborne in situ vertical profiling of HDO / H<sub>2</sub><sup>16</sup>O in the subtropical troposphere during the MUSICA remote sensing validation campaign