[1] Zhang S P, Roble R G, Shepherd G G. Tidal influence on the oxygen and hydroxyl nightglows: wind imaging interferometer observations and thermosphere/ionosphere/mesosphere electrodynamics general circulation model[J]. Journal of Geophysical Research, 106, 21381-21393(2001).
[2] Fleming E L, Chandra S, Barnett J J et al. Zonal mean temperature, pressure, zonal wind and geopotential height as functions of latitude[J]. Advances in Space Research, 10, 11-59(1990).
[3] Pierce R M, Roark S E. Wind speed measurements of Doppler-shifted absorption lines using two-beam interferometry[J]. Applied Optics, 51, 1853-1864(2012).
[4] Zhu X, Yee J H, Talaat E R. Diagnosis of dynamics and energy balance in the mesosphere and lower thermosphere[J]. Journal of the Atmospheric Sciences, 58, 2441-2454(2001).
[6] Velden C. Environmental satellite data utilization: determination of wind vectors by tracking features on sequential moisture analyses derived from hyperspectral IR satellite soundings[J]. Review of Policy Research, 27, 491-507(2004).
[7] Shepherd G G. Development of wind measurement systems for future space missions[J]. Acta Astronautica, 115, 206-217(2015).
[8] McCleese D J, Margolis J S. Remote sensing of stratospheric and mesospheric winds by gas correlation electrooptic phase-modulation spectroscopy[J]. Applied Optics, 22, 2528(1983).
[9] Key J R, Santek D, Velden C S et al. Cloud-drift and water vapor winds in the polar regions from MODISIR[J]. IEEE Transactions on Geoscience and Remote Sensing, 41, 482-492(2003).
[12] Jiang W, Lai Y Y, Fan Y et al. Research on the measurement model and algorithm of wind vector field based on satellite cloud images(cloud motion winds)[J]. Mathematics in Practice and Theory, 43, 123-138(2013).
[13] Velden C S, Hayden C M, Nieman S J et al. Upper-tropospheric winds derived from geostationary satellite water vapor observations[J]. Bulletin of the American Meteorological Society, 78, 173-195(1997).
[14] Le Marshall J. Cloud and water vapour motion vectors in tropical cyclone track forecasting: a review[J]. Meteorology and Atmospheric Physics, 65, 141-151(1998).
[15] Dong C H, Yang J, Yang Z D et al. An overview of a new Chinese weather Satellite FY-3A[J]. Bulletin of the American Meteorological Society, 90, 1531-1544(2009).
[16] Zhang Z Q, Lu F, Fang X et al. Application and development of FY-4 meteorological satellite[J]. Aerospace Shanghai, 34, 8-19(2017).
[17] Lu F, Zhang X H, Chen B Y et al. FY-4 geostationary meteorological satellite imaging characteristics and its application prospects[J]. Journal of Marine Meteorology, 37, 1-12(2017).
[18] Liu Z M, Zhang Q S, Yan M. Analysis of the results of cloud wind guide by geostationary satellite[J]. Meteorological Disaster Prevention, 9, 15-18(2002).
[19] Zhao H. An improved algorithm for extracting atmospheric motion signals in “cloud-free region” from GEO satellite and its applications in case study[D](2014).
[20] Zhang C M. Application of electromagnetic Doppler effect in upper atmosphere detection[J]. College Physics, 38, 52-54, 59(2019).
[21] Miecznik G, Pierce R, Huang P et al. Passive A-band Wind Sounder (PAWS) for measuring tropospheric wind velocity profile[J]. Proceedings of SPIE, 6677, 66771C(2007).
[22] Pierce R, Roark S, Grund C et al. Passive A-band wind sounder (PAWS) for measuring tropospheric wind velocity[C], 358-361(2008).
[23] Zhang C M, Wang W, Xiangli B et al. Interference image spectroscopy for upper atmospheric wind field measurement[J]. Acta Optica Sinica, 20, 234-239(2000).
[24] Tang Y H, Zhang C M, Chen G D et al. Recent progress of the key technique for atmospheric wind measurement[J]. Progress in Physics, 25, 142-152(2005).
[25] Rahnama P, Rochon Y J, McDade I C et al. Satellite measurement of stratospheric winds and ozone using Doppler Michelson interferometry. Part I: instrument model and measurement simulation[J]. Journal of Atmospheric and Oceanic Technology, 23, 753-769(2006).
[26] He W W, Wu K J, Feng Y T et al. The near-space wind and temperature sensing interferometer: forward model and measurement simulation[J]. Remote Sensing, 11, 914(2019).
[27] Nieman S J, Schmetz J, Menzel W P. A comparison of several techniques to assign heights to cloud tracers[J]. Journal of Applied Meteorology, 32, 1559-1568(1993).
[28] Bai J, Wang H Q, Tao Z Y. The deriving of cloud motion winds from IR images of GMS[J]. Acta Scicentiarum Naturalum Universitis Pekinesis, 33, 85-92(1997).
[29] Cai P Y. Research on cloud detection and cloud image prediction method based on FY-4A satellite[D](2021).
[30] Wang Z H, Xu J M, Kelly G. Deriving cloud motion vectors from high temporal resolution images based on Fourier phase analysis technique[J]. Scientia Meteorologica Sinica, 24, 9-15(2004).
[31] Long Z Y, Shi H Q, Huang S X. A new idea of cloud motion wind derived from satellite images[J]. Acta Physica Sinica, 60, 059202(2011).
[32] Kumar S S, Rao T N, Taori A. A novel approach for the extraction of cloud motion vectors using airglow imager measurements[J]. Atmospheric Measurement Techniques, 8, 3893-3901(2015).
[33] Arking A, Lo R C, Rosenfeld A. A Fourier approach to cloud motion estimation[J]. Journal of Applied Meteorology, 17, 735-744(1978).
[34] Tan Y Q, Huang B, Shi X K. A method fusing conventional wind field with cloud motion wind and its application in location forecast of the severe convection[J]. Meteorological and Environmental Research, 5, 9-12, 18(2014).
[36] Shang H Z, Husi L T, Li M et al. Remote sensing of cloud properties based on visible-to-infrared channel observation from passive remote sensing satellites[J]. Acta Optica Sinica, 42, 0600003(2022).
[37] Carranza M, Borde R. Current status of the MTG-FCI AMV prototype[J]. Proceedings of SPIE, 11151, 1115117(2019).
[38] Hursen K A, Ross R. GOES imager: overview and evolutionary development[J]. Proceedings of SPIE, 2812, 160-173(1996).
[39] Wan X M, Gong J D, Han W et al. The evaluation of FY-4A AMVs in GRAPES_RAFS[J]. Meteorological Monthly, 45, 458-468(2019).
[41] Bessho K, Date K J, Hayashi M et al. An introduction to Himawari-8/9: Japan′s new-generation geostationary meteorological satellites[J]. Journal of the Meteorological Society of Japan Ser II, 94, 151-183(2016).
[43] Lebair W, Kronenwetter J A, Cauffman S A et al. The advanced baseline imager: the next generation of geostationary imager[J]. Proceedings of SPIE, 5570, 165-172(2004).
[45] Raja M K R V, Battles D, Wu X Q et al. In-orbit health and performance of operational AVHRR instruments[J]. Proceedings of SPIE, 7808, 780814(2010).
[47] Pasternak F, Hollier P, SEVIRI Jouan J.. the new imager for Meteosat second generation[C], 1094-1099(1993).
[48] Borde R, Carranza M, Hautecoeur O et al. Winds of change for future operational AMV at EUMETSAT[J]. Remote Sensing, 11, 2111-2129(2019).
[49] Durand Y, Hallibert P, Wilson M et al. The flexible combined imager onboard MTG: from design to calibration[J]. Proceedings of SPIE, 9639, 963903(2015).
[50] Holmlund K, Grandell J, Schmetz J et al. Meteosat third generation (MTG): continuation and innovation of observations from geostationary orbit[J]. Bulletin of the American Meteorological Society, 102, E990-E1015(2021).
[51] Riguet F, Brousse E, Carel J L et al. Opto-mechanical design of the MTG FCI spectral separation assembly[J]. Proceedings of SPIE, 9626, 96261Y(2015).
[52] Schueler C F, Clement J E, Miller S W et al. NPOESS VIIRS: next-generation polar-orbiting atmospheric imager[J]. Proceedings of SPIE, 4891, 50-64(2003).
[54] McConnochie T H, Bell J F III, Savransky D et al. THEMIS-VIS observations of clouds in the martian mesosphere: altitudes, wind speeds, and decameter-scale morphology[J]. Icarus, 210, 545-565(2010).
[55] Sánchez-Lavega A, Chen-Chen H, Ordoñez-Etxeberria I et al. Limb clouds and dust on Mars from images obtained by the Visual Monitoring Camera (VMC) onboard Mars Express[J]. Icarus, 299, 194-205(2018).
[56] Velden C. Environmental satellite data utilization: determination of wind vectors by tracking features on sequential moisture analyses derived from hyperspectral IR satellite soundings[J]. Review of Policy Research, 27, 491-507(2004).
[57] Santek D, Nebuda S, Stettner D. Demonstration and evaluation of 3D winds generated by tracking features in moisture and ozone fields derived from AIRS sounding retrievals[J]. Remote Sensing, 11, 2597(2019).
[58] Zeng X B, Ackerman S, Ferraro R D et al. Challenges and opportunities in NASA weather research[J]. Bulletin of the American Meteorological Society, 97, ES137-ES140(2016).
[59] Smith W L, Revercomb H E, Zhou D K et al. Geostationary Imaging Fourier Transform Spectrometer (GIFTS): science applications[J]. Proceedings of SPIE, 6405, 64050E(2006).
[60] Elwell J D, Cantwell G W, Scott D K et al. A geosynchronous imaging Fourier transform spectrometer (GIFTS) for hyperspectral atmospheric remote sensing: instrument overview and preliminary performance results[J]. Proceedings of SPIE, 6297, 62970S(2006).
[61] Zhou D K, Smith W L, Bingham G E et al. Ground-based measurements with the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) engineering demonstration unit-experiment description and first results[J]. Journal of Applied Remote Sensing, 1, 013528(2007).
[62] Ma Z, Li J, Han W et al. Four-dimensional wind fields from geostationary hyperspectral infrared sounder radiance measurements with high temporal resolution[J]. Geophysical Research Letters, 48, 093794(2021).
[63] Li L, Ni Z Y, Qi C L et al. Pre-launch radiometric calibration of geostationary interferometric infrared sounder on FengYun-4B satellite[J]. Acta Optica Sinica, 42, 0630001(2022).
[64] Glumb R, Lapsley M, Luce S et al. HyperCube: a hyperspectral CubeSat constellation for measurements of 3D winds[J]. Proceedings of SPIE, 9978, 997805(2016).
[65] Maschhoff K, Polizotti J, Aumann H et al. Concept development and risk reduction for MISTiC winds, A micro-satellite constellation approach for vertically resolved wind and IR sounding observations in the troposphere[J]. Remote Sensing, 11, 2169(2019).
[66] Maschhoff K R, Polizotti J J, Aumann H H et al. Mistic winds, a microsatellite constellation approach to high-resolution observations of the atmosphere using infrared sounding and 3D winds measurements[J]. Proceedings of SPIE, 10000, 100000L(2016).
[67] Morse P G, Bates J C, Miller C R et al. Development and test of the atmospheric infrared sounder (AIRS) for the NASA earth observing system (EOS)[J]. Proceedings of SPIE, 3870, 281-292(1999).
[68] Guo Q, Yang J, Wei C Y et al. Spectrum calibration of the first hyperspectral infrared measurements from a geostationary platform: method and preliminary assessment[J]. Quarterly Journal of the Royal Meteorological Society, 147, 1562-1583(2021).
[69] Gault W A, Shepherd G G. WAMDII: a wide angle Michelson Doppler imaging interferometer for spacelab[J]. Advances in Space Research, 2, 111-114(1982).
[70] Shepherd G G, Gault W A, Miller D W et al. WAMDII: wide-angle Michelson Doppler imaging interferometer for Spacelab[J]. Applied Optics, 24, 1571-1584(1985).
[71] Shepherd G G, Thuillier G, Gault W A et al. WINDII, the wind imaging interferometer on the Upper Atmosphere Research Satellite[J]. Journal of Geophysical Research, 98, 10725-10750(1993).
[72] Shepherd G G, Thuillier G, Cho Y M et al. The Wind Imaging Interferometer (WINDII) on the upper atmosphere research satellite: a 20 year perspective[J]. Reviews of Geophysics, 50, 1-38(2012).
[73] Rahnama P, Gault W A, McDade I C et al. Scientific assessment of the SWIFT instrument design[J]. Journal of Atmospheric and Oceanic Technology, 30, 2081-2094(2013).
[74] Rahnama P[M]. Mission simulation and instrument design for the Stratospheric Wind Interferometer for Transport Studies (SWIFT) instrument(2010).
[75] Rahnama P, Gault W, McDade I et al. Onboard calibration and monitoring for the SWIFT instrument[J]. Measurement Science and Technology, 23, 105801(2012).
[76] Ward W E, Gault W A, Rowlands N et al. Imaging interferometer for satellite observations of wind and temperature on Mars, the Dynamics Atmosphere Mars Observer (DYNAMO)[J]. Proceedings of SPIE, 4833, 226-236(2003).
[77] Hao Z B, Ye H Q, Tang L et al. Improvement of wavelength calibration accuracy of astronomical high-resolution spectrometers with Fabry-Perot etalons[J]. Acta Optica Sinica, 42, 0112002(2022).
[78] Abreu V J, Hays P B, Skinner W R. The high resolution Doppler imager[J]. Optics and Photonics News, 2, 28-30(1991).
[79] Hays P B, Abreu V J, Dobbs M E et al. The high-resolution Doppler imager on the upper atmosphere research satellite[J]. Journal of Geophysical Research, 98, 10713-10723(1993).
[80] Ortland D A, Skinner W R, Hays P B et al. Measurements of stratospheric winds by the high resolution Doppler imager[J]. Journal of Geophysical Research: Atmospheres, 101, 10351-10363(1996).
[81] Burrage M D, Skinner W R, Gell D A et al. Validation of mesosphere and lower thermosphere winds from the high resolution Doppler imager on UARS[J]. Journal of Geophysical Research: Atmospheres, 101, 10365-10392(1996).
[82] Marsh D R, Skinner W R, Marshall A R et al. High resolution Doppler imager observations of ozone in the mesosphere and lower thermosphere[J]. Journal of Geophysical Research: Atmospheres, 107, ACH 7-1-ACH 7-12(2002).
[83] Killeen T L, Skinner W R, Johnson R M et al. TIMED Doppler interferometer (TIDI)[J]. Proceedings of SPIE, 3756, 289-301(1999).
[84] Yee J H, Talaat E R, Christensen A B et al. TIMED instruments[J]. Johns Hopkins APL Technical Digest, 24, 156-164(2003).
[85] Wu Q, Gablehouse R D, Gell D A et al. Wind measurements by the TIMED Doppler interferometer (TIDI)[C], SA52B-02(2002).
[86] Killeen T L, Wu Q, Solomon S C et al. TIMED Doppler Interferometer: overview and recent results[J]. Journal of Geophysical Research: Space Physics, 111, A10S01(2006).
[87] Englert C R, Harlander J M, Babcock D D et al. Doppler asymmetric spatial heterodyne spectroscopy (DASH): an innovative concept for measuring winds in planetary atmospheres[J]. Proceedings of SPIE, 6303, 63030T(2006).
[88] Harlander J M, Englert C R, Babcock D D et al. Laboratory and field tests of a Doppler Asymmetric Spatial Heterodyne (DASH) spectrometer for thermospheric wind observations[C], FWB2(2011).
[89] Englert C R, Harlander J M, Brown C M et al. Coincident thermospheric wind measurements using ground-based Doppler Asymmetric Spatial Heterodyne (DASH) and Fabry-Perot Interferometer (FPI) instruments[J]. Journal of Atmospheric and Solar-Terrestrial Physics, 86, 92-98(2012).
[90] Englert C R, Brown C M, Marr K D et al. As-built specifications of MIGHTI-the thermospheric wind and temperature instrument for the NASA ICON mission[C], FTh4B. 2(2016).
[91] Harlander J M, Englert C R, Brown C M et al. Design and laboratory tests of the Michelson interferometer for global high-resolution thermospheric imaging (MIGHTI) on the ionospheric connection explorer (ICON) satellite[C], FM4A. 3(2015).
[92] Englert C R, Harlander J M, Brown C M et al. The Michelson interferometer for global high-resolution thermospheric imaging (MIGHTI): wind and temperature observations from the ionospheric connection explorer (ICON)[C], FW1D. 3(2013).
[93] Stevens M H, Englert C R, Harlander J M et al. Retrieval of lower thermospheric temperatures from O2 A band emission: the MIGHTI experiment on ICON[J]. Space Science Reviews, 214, 4(2018).
[94] Solheim B, Brown S, Sioris C et al. SWIFT-DASH: spatial heterodyne spectroscopy approach to stratospheric wind and ozone measurement[J]. Atmosphere-Ocean, 53, 50-57(2015).
[95] Harlander J M, Englert C R. Laboratory demonstration of mini-MIGHTI: a prototype sensor for thermospheric red-line (630 nm) neutral wind measurements from a 6U CubeSat[J]. Journal of Atmospheric and Solar-Terrestrial Physics, 207, 105363(2020).
[96] McHugh M J, Gordley L L, Marshall B T et al. The Doppler Wind and Temperature Sounder (DWTS): enabling next-generation weather and space weather forecasts[J]. Proceedings of SPIE, 8739, 87390U(2013).
[97] Gordley L L, Marshall B T. Doppler wind and temperature sounder: new approach using gas filter radiometry[J]. Journal of Applied Remote Sensing, 5, 053570(2011).
[99] Xu G Q, Zhang Y F, Wan J W et al. Application of high-resolution three-dimensional imaging lidar[J]. Acta Optica Sinica, 41, 1628002(2021).