Infrared and Laser Engineering, Volume. 52, Issue 5, 20220691(2023)

Review of the progress of Aeolus space-borne wind measurement lidar

Zhongyu Hu1,2 and Lingbing Bu1,2
Author Affiliations
  • 1Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
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    Figures & Tables(11)
    Concept view of the Aeolus[3]
    Flow chart of instrument development[11-12]
    Optical architecture of ALADIN[22]
    (a) Aeolus 2 B product[28]; (b) Co-polar extinction-to-backscatter ratio data from Aeolus L2 A product, observing Saharan dust across the Atlantic Ocean on June 19, 2020[29]
    Cumulative wind speed errors with 500 pulses and 700 pulses simulation
    • Table 1. Differences between ALADIN and A2D instruments[14]

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      Table 1. Differences between ALADIN and A2D instruments[14]

      ItemALADINA2D
      TransmitterNd:YAG, tripled, diode-pumped
      Wavelength/nm355
      OperationBurst-modeContinuous
      Repetition rate/Hz10050
      Energy per pulse/mJ15070
      Telescope/m1.50.2
      Receiver FOV/µrad15100
      Nadir angle/(°)3520
      Altitude/km408(320)10
    • Table 2. A2D validates the activity

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      Table 2. A2D validates the activity

      YearEquipmentsResults
      October 2005A2DFlying at an altitude of 8 to 10 km for about 4 h, the laser single pulse energy is only about 20 mJ and does not provide stable single-frequency operation[14-15]
      November 2007A2D and 2 µm DWL The number of photons in the analog signal on the Rayleigh receiver differs from the measured value by a factor of 2.5 to 4[12]
      2008A2D and 2 µm DWL At altitudes between 4 and 17 km, the difference in the number of electrons between the simulated signal and the actual measurements is a factor of two[13]
      2009A2D and 2 µm DWL The systematic and random errors of Rayleigh channel are −0.7 m/s and 1.9 m/s, respectively, and those of Mie channel are 1.1 m/s and 1.3 m/s, respectively[16]
      2015A2D and 2 µm DWL Confirm the performance of A2D and the expected calibration applicability of Aeolus satellite, and further improve the satellite wind profile inversion algorithm and correction file[17]
      2016A2D and 2 µm DWL Show the wind observation dataset in dynamic complex scenarios, such as strong wind shear conditions, to prepare for Aeolus data calibration and validation[18]
    • Table 3. Partial parameters of Aeolus[27]

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      Table 3. Partial parameters of Aeolus[27]

      SatelliteALADINTelescope/Front opticsLaser transmitter
      Mean altitude/kmSlant angle at satelliteVertical resolution/kmPrimary mirror diameter/mReceive FOV/μradWavelength/nmEnergy per pulse/mJRepetition rate/Hz
      32035° off nadir0.25-21.51354.88050.5
      Mie spectrometerRayleigh spectrometerDetection unit
      Fizeau useful spectral range/pmFizeau FWHM/nmFilter separation/pmFilter FWHM/MHzQuantum efficiencyDark current/e·(pixel·s)−1
      0.6667 2.331551/1531(direct/reflected)85%1.9
    • Table 4. Aeolus data accuracy requirements[23]

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      Table 4. Aeolus data accuracy requirements[23]

      ParameterMission requirements
      PBLTroposphereStratosphere
      Vertical domain/km0-22-1616-20
      Vertical resolution/km0.512
      Horizontal domainGlobal
      Minimum horizontal track data availability (before QC)95%
      Precision HLOS component/m·s−112.53(3-5)
      Unknown bias (HLOS)/m·s−10.7 (Errors that cannot be eliminated by instrument correction and ground calibration)
      Probability of gross errors5%
      Data availability, timeliness/h3
    • Table 5. Validation activities

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      Table 5. Validation activities

      ActivitiesRayleigh /m·s−1(SD) Mie /m·s−1(SD)
      WindVal III(2 µm DWL), 2018[34]4.752.95
      AVATARE, 2019[43]5.273.02
      De Haute-Provence, 2019[33]3.2-
      The Atlantic ocean, 2018[44]4.841.58
      RWP network over China, 2020[45]4.26.82
      Long-term validation in Japan, 2019-2021[46]9.19(B12)5.98(B12)
      Ground-based coherent Doppler Lidar network over China, 2022[47]7.073.15
      La Réunion Island and the Observatoire de Haute Provence, 2022[48]6.49-
    • Table 6. Comparison of Aeolus and Aeolus2 mission requirements[67]

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      Table 6. Comparison of Aeolus and Aeolus2 mission requirements[67]

      AeolusAeolus-2
      Range of observation/km0-200-30
      Requirement/m·s−10-2 km: 1 2-16 km: 2.5 16-20 km: 3-5 0-2 km: 2 2-16 km: 2.5 16-30 km: 5
      Number of vertical bins2475
      Vertical resolution/m0-2 km: 250 2-16 km: 1000 16-20 km: 2 000 0-2 km: 250 2-16 km: 500 16-30 km: 1000
      Horizontal resolution/km87(Rayleigh)/10(Mie)1-16:<100(Rayleigh) 10(Mie) 16-30:<200
      Wind range/m·s−1±100±150
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    Zhongyu Hu, Lingbing Bu. Review of the progress of Aeolus space-borne wind measurement lidar[J]. Infrared and Laser Engineering, 2023, 52(5): 20220691

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    Paper Information

    Category: Laser & laser optics

    Received: Sep. 26, 2022

    Accepted: --

    Published Online: Jul. 4, 2023

    The Author Email:

    DOI:10.3788/IRLA20220691

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