Hyperspectral infrared atmospheric sounder IKFS-2 on “Meteor-M” No. 2 – Four years in orbit

Timofeyev, Yu. M.; Uspensky, A. B.; Zavelevich, F. S.; Polyakov, A. V.; Virolainen, Ya. A.; Rublev, A. N.; Kukharsky, A. V.; Kiseleva, J.V.; Козлов, Д. А.; Kozlov, I. A.; Nikulin, A. G.; Pyatkin, V. P.; Rusin, E. V.

doi:10.1016/j.jqsrt.2019.106579

Cited by 24 publications

(10 citation statements)

References 51 publications

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“…On the one hand, this interpretation is supported by the lack of previous experience of such forward‐modelling difficulties with other IR sounders. On the other hand, earlier studies have identified elevated instrument noise levels in Band 2 of the IKFS‐2 observation spectrum (Polyakov et al ., 2017; Timofeyev et al ., 2019).…”

Section: Ikfs‐2 Radiance Datamentioning

confidence: 99%

“…These include the Geostationary Interferometric Infrared Sounder (GIIRS; the geostationary FY‐4A platform: Yin et al ., 2020), Hyperspectral Infrared Atmospheric Sounder (HIRAS; FY‐3D ), and Infrared Fourier Spectrometer 2 (IKFS‐2; Meteor‐M‐N2 ). Recent studies have demonstrated that the noise performance of the new polar‐orbiting IR sounders is reasonably close to that of their European and American equivalents (Carminati et al ., 2019; Timofeyev et al ., 2019). This aspect is also illustrated in Figure 1 for the Russian IR sounder.…”

Section: Introductionmentioning

confidence: 99%

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Infrared Fourier Spectrometer 2 (IKFS‐2) radiance assimilation at ECMWF

Eresmaa

2020

Quart J Royal Meteoro Soc

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Meteorological satellites launched as part of the Russian space programme have not been widely used in global numerical weather prediction (NWP) to date. There is particular interest in the Meteor‐M series of sun‐synchronous spacecraft, as it is anticipated that future launches will operate in currently unobserved orbital planes complementary to those occupied by Europe, the United States, and China. One of the sensors carried on board these satellites is the Infrared Fourier Spectrometer 2 (IKFS‐2), which observes a spectrum of atmospheric radiation over the wavenumber range 660–2,000.5 cm−1. The IKFS‐2 is thus similar to earlier hyperspectral sensors such as the Infrared Atmospheric Sounding Interferometer (IASI) and the Cross‐track Infrared Sounder (CrIS), both of which have been used operationally at the European Centre for Medium‐range Weather Forecasts (ECMWF) for many years. This study investigates the quality of IKFS‐2 radiance measurements from the Meteor‐M‐N2 satellite and performs assimilation experiments to assess the impact of these data on the ECMWF analysis and forecasting system. Measured by statistical indicators of the observation fit to short‐range forecasts, the IKFS‐2 performs as well as IASI and CrIS amongst channels sensitive to stratospheric and tropospheric temperature. The assimilation experiments indicate up to 0.5% improvement in headline forecast scores, although the medium‐range impact is mixed and for most parts nonsignificant. One factor that currently limits the impact of IKFS‐2 is poor data timeliness and availability: observations are available for assimilation typically only 75% of the time during the test periods. It is expected, though, that such logistical problems can be overcome, and efforts are already underway to improve data dissemination.

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Section: Ikfs‐2 Radiance Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Infrared Fourier Spectrometer 2 (IKFS‐2) radiance assimilation at ECMWF

Eresmaa

2020

Quart J Royal Meteoro Soc

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“…The object-space spectrum undergoes optical Fourier transformation on the detector to obtain an interference pattern, and the spectrum information is obtained by inverting the interference pattern 1 . With the development of spectroscopy, in many fields such as atmospheric environment monitoring, water quality and water body monitoring, and mineral exploration, the requirements for the spectral resolution of interference spectral imagers are getting higher and higher [2][3][4][5][6][7] .…”

Section: Introductionmentioning

confidence: 99%

Joint interference imaging spectral super-resolution technology based on FPI modulation

Zhang,

Liu,

Wang

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Novel Imaging Systems

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The spectral resolution of interference spectral imaging technology is difficult to improve by directly increasing the maximum OPD due to limitations such as luminous flux and system stability. Studies have shown that the Fabry-Perot interferometer (FPI) can be added as a spectral resampling element to an interference hyperspectral imager to achieve spectral super-resolution, but it is more demanding on the parameters of the FPI optical element in terms of system accuracy and stability. This paper proposes a new interferometric hyperspectral imager and FPI joint interference spectrum super-resolution method. This method uses dual interferometers to perform FPI periodic modulation of the target spectral information. Then, the high-frequency interference information displacement generated after modulation is analyzed and restored to improve the spectral resolution. Experimental results show that this method can obtain spectral super-resolution information through multi-component joint interference imaging, increasing the spectral resolution to three times, and theoretically achieving higher spectral super-resolution. The optical system of this system is compact in structure, has relatively little impact on luminous flux, system complexity and stability, and has low requirements on parameters such as FPI spacing and reflectivity. This article provides a new solution for interferometric imaging hyperspectral super-resolution technology to break through the maximum OPD limit.

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“…Finally, the third method for TOC and ozone profile retrievals is based on measurements of the outgoing Earth thermal radiation (IR), also in two geometries. Such observations are provided by the following satellite observation systems: the Atmospheric Infrared Sounder (AIRS, Aqua satellite) [13]; the Tropospheric Emissions Spectrometer (TES, Aura satellite) [14]; the Infrared Atmospheric Sounding Interferometer (IASI, MetOp satellites) [15]; the Infrared Fourier Spectrometer-2 (IKFS-2, Meteor-M N2 satellite) [16]; and the Microwave Limb Sounder (MLS, Aura satellite) [17].…”

Section: Introductionmentioning

confidence: 99%

Six Years of IKFS-2 Global Ozone Total Column Measurements

et al. 2023

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Atmospheric ozone plays an important role in the biosphere’s absorbing of dangerous solar UV radiation and its contributions to the Earth’s climate. Nowadays, ozone variations are widely monitored by different local and remote sensing methods. Satellite methods can provide data on the global distribution of ozone and its anomalies. In contrast to measurement techniques based on solar radiation measurements, Fourier-transform infrared (FTIR) satellite measurements of thermal radiation provide information, regardless of solar illumination. The global distribution of total ozone columns (TOCs) measured by the IKFS-2 spectrometer aboard the “Meteor M N2” satellite for the period of 2015 to 2020 is presented. The retrieval algorithm uses the artificial neural network (ANN) based on measurements of TOCs by the Aura OMI instrument and the method of principal components for representing IKFS-2 spectral measurements. Latitudinal and seasonal dependencies on the ANN training errors are analyzed and considered as a first approximation of the TOC measurement errors. The TOCs derived by the IKFS-2 instrument are compared to independent ground-based and satellite data. The average differences between the IKFS-2 data and the independent TOC measurements are up to 2% (IKFS-2 usually slightly underestimates the other data), and the standard deviations of differences (SDDs) vary from 2 to 4%. At the same time, both the analysis of the ANN approximation errors of the OMI data and the comparison of the IKFS-2 results with independent data demonstrate an increase in discrepancies towards the poles. In the spring–winter period, SDDs reach 8% in the Southern and 6% in the Northern Hemisphere. The technique presented can be used to process the IKFS-2 spectral data, and as a result, it can provide global information on the TOCs in the period of 2015–2020, regardless of the solar illumination and the presence of clouds.

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Hyperspectral infrared atmospheric sounder IKFS-2 on “Meteor-M” No. 2 – Four years in orbit

Cited by 24 publications

References 51 publications

Infrared Fourier Spectrometer 2 (IKFS‐2) radiance assimilation at ECMWF

Infrared Fourier Spectrometer 2 (IKFS‐2) radiance assimilation at ECMWF

Joint interference imaging spectral super-resolution technology based on FPI modulation

Six Years of IKFS-2 Global Ozone Total Column Measurements

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