Infrared and Laser Engineering, Volume. 53, Issue 7, 20240146(2024)

Review of satellite remote sensing technology for near-space atmospheric wind field and temperature field

Weiwei HE1, Jiarui SU1, Yutao FENG2, Houmao WANG3, Haotian LI1, Kuijun WU1, and Faquan LI4、*
Author Affiliations
  • 1School of Physics and Electronic Information, Yantai University, Yantai 264005, China
  • 2Xi'an Institute of Optics Precision Mechanic, Chinese Academy of Sciences, Xi'an 710119, China
  • 3National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
  • 4Institute of Precision Measurement Science and Technology Innovation, Chinese Academy of Sciences, Wuhan 430071, China
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    Figures & Tables(29)
    Optical architecture of ALADIN[37]
    Physical diagram of the WINDII instrument[9]
    SWIFT-DASH optical frame [38]
    HRDI instrument[16]
    Major TIDI subsystems. (a) The four telescopes; (b) Profiler[12]
    (a) MIGHTI optics; (b) Stray light model[40]
    Production and loss mechanisms of the \begin{document}$ \mathrm{O}_2\left(a^1\Delta_g\right) $\end{document} state[19]
    Calculated \begin{document}$ \mathrm{O}_2\left(a^1\Delta_g\right) $\end{document} concentration profiles for different production mechanisms[19]
    Infrared band O2 limb viewing radiation and transmission spectra at tangent heights of 40 km, 60 km, and 80 km. (a) Radiation spectra at 80 km; (b) Transmission spectra at 80 km; (c) Radiation spectra at 60 km; (d) Transmission spectra at 60 km; (e) Radiation spectra at 40 km; (f) Transmission spectra at 40 km[43]
    WAMI optical configuration[20]
    Schematic diagram of optical system of the near-space wind and temperature sensing interferometer[43]
    The standard deviation of random error of Doppler wind speed and temperature measured by NWSTI. (a) Wind speed error; (b) Temperature error[43]
    Limb radiation spectrum of O3. (a) Limb radiation spectra of O3 at 8.8 μm band; (b) Enlarged image in the box in Fig.13 (a) [53]
    Schematic diagram of SWIFT optical system[53]
    SWIFT-DASH monolithic optics assembly[38]
    Interference patterns of forward simulation. (a) Interference patterns during daytime; (b) Interference patterns during nighttime[53]
    Profile of wind measurement error[53]
    (a) Instrument thermal background signal and (b) combined signal (sum of pure atmospheric signal and instrument thermal background signal) with noise added during the first step of the first field of view[56]
    Composition error[56]
    Transmission spectra: (a) is for NO[59] and (b) is for 13CO2[59]
    (a) DWTS viewing geometry; (b) Illustration of the Doppler modulation concept[59]
    DWTS instrument concepts: (a) Infrared Camera; (b) Dual-instrument full mechanical drawing[59]
    Optical and mechanical structure of doppler molecular frequency discriminator[63]
    Wind temperature detection accuracy profile. (a) Wind detection accuracy; (b) Temperature detection accuracy[63]
    • Table 1. Summary of WINDII observations[9]

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      Table 1. Summary of WINDII observations[9]

      FilternumberEmissionTotaldays/dYear/d
      1991199219931994199519961997
      1bg-O(1S)10133321922217016613964
      2O(1S)7641616717211312913037
      3O(1D)19194451592251
      4OH/O+427221221239042424
      5bg-OH56227137156103672844
      6OH3032284815830424
      7O26001419421582302045
    • Table 2. Representative instruments for remote sensing of atmospheric wind temperature

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      Table 2. Representative instruments for remote sensing of atmospheric wind temperature

      Detection methodsInstrument nameLaunch timeDetecting target sourcesAltitude range/kmAccuracyInstrument type
      ActiveALADIN2018-0-301-3 m/sDoppler lidar
      PassiveWINDII1992OI 557.7 nm, OI 630.0 nm, OH 734.1 nm, O2 763.2 nm80-3005 m/s, 18-40 KFour step Michelson interferometer
      SWIFT-O3 8.823 μm20-605 m/sFour zone Michelson interferometer
      HRDI1992OI 630.0 nm, O2 690.0 nm, O2 762.0 nm10-40, 60-1105 m/sTriple etalon Fabry-Perot interferometer
      TIDI2001OI 557.7 nm, OI 630.0 nm, O2 867.0 nm60-3003 m/s, 5-40 KFabry-Perot interferometer
      MIGHTI2019OI 557.7 nm, OI 630.0 nm, O2 762.0 nm90-3005 m/s, 2 KBroadband DASH interferometer
    • Table 3. Emission lines[20]

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      Table 3. Emission lines[20]

      EmissionLineWavelength in air/ nmRel. Int. at 250 Kdl/dt/ K−1
      ${{\text{O}}_{\text{2}}}^{\text{1}}{{\Delta (0,0)}}$ strong$^{\text{R}}{\text{Q(9)}}$1264.0600.019−0.05%
      $^{\text{S}}{\text{R(3)}}$1264.2770.016−0.31
      $^{\text{R}}{\text{R(9)}}$1264.3860.023−0.05
      ${{\text{O}}_{\text{2}}}^{\text{1}}{{\Delta (0,0)}}$ weak$^{\text{P}}{\text{Q(19)}}$1278.2890.0045+0.70
      $^{\text{O}}{\text{P(11)}}$1278.4080.0068−0.12
      $ ^{\text{P}}{\text{P(19)}} $1278.5900.0041+0.70
      OH (8,5)${{\text{P}}_{\text{1}}}{\text{(4)}}$1315.682--
      O(1S)-557.73--
    • Table 4. DWTS performance

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      Table 4. DWTS performance

      Measured parametersSpatial resolutionFOV rangeBeam-splitter centerSpectral bandwidth
      NO emission profile10 km horizon 2 km vertical20°× 20°4.7 μm44 cm−1 at 1851 cm−1
      CO2 emission profile24 cm−1 at 2270 cm−1
      Derived parametersAltitude rangeRangeResolutionRandom error (1 s)
      Temperature25-250 km100-1500 K< 1%< 2%
      Density25-250 km (Using hydrostatic constraint)NA< 1%< 5%
      CT wind25-200 km> ± 300 m/s< 1 m/s< 2 m/s
      AT wind25–55 & 80-200 km> ± 600 m/s< 2 m/s< 20 m/s
    • Table 5. Summary of technical solutions

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      Table 5. Summary of technical solutions

      Performance metricsNear infrared bandLong-wave infrared bandMid-wave infrared band
      Altitude20-120 km10-60 km20-250 km
      Wind accuracy1-3 m/s(40-80 km)1-3 m/s1-2 m/s
      Temperature accuracy1-5 K-± 1 K
      Time coverageDayDay, nightDay, night
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    Weiwei HE, Jiarui SU, Yutao FENG, Houmao WANG, Haotian LI, Kuijun WU, Faquan LI. Review of satellite remote sensing technology for near-space atmospheric wind field and temperature field[J]. Infrared and Laser Engineering, 2024, 53(7): 20240146

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    Paper Information

    Category: Reivew

    Received: Apr. 2, 2024

    Accepted: --

    Published Online: Aug. 9, 2024

    The Author Email: LI Faquan (lifaquan@apm.ac.cn)

    DOI:10.3788/IRLA20240146

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