星载温室气体激光雷达技术发展与展望

Development and Prospects of Spaceborne Greenhouse Gas LiDAR Technology

  • 摘要: 积分路径差分吸收(IPDA)激光雷达通过在线与离线双波长硬目标回波的功率比反演大气柱吸收。主动IPDA观测不依赖太阳照明,具有窄足迹和较高的近地层权重,可与覆盖范围宽、产品链成熟的被动温室气体遥感形成采样互补。作为首个在轨温室气体IPDA激光雷达,DQ-1/ACDL已形成全球XCO2产品;其v1.0产品经13个TCCON站验证,平均误差为0.02 ppm,均方根误差为1.4 ppm,标志着星载温室气体IPDA已进入在轨应用验证阶段。本文围绕载荷设计、跨尺度验证和多源融合,评述星载温室气体IPDA从载荷验证走向业务化碳监测的进展与约束。分析表明,业务化应用需要在平台资源约束下兼顾测量性能与有效覆盖,并闭合地基—机载—星载验证链;主被动产品融合还需统一权重函数、平均核、时空尺度、地表高程和气象输入,并将随机误差与相关系统偏差从L2产品传播至L4应用。在此基础上,本文提出单星应用验证、跨传感器融合、组网与持续业务服务的三阶段发展路线,并以从L1回波到L4通量的全链路表现评价业务成熟度。

     

    Abstract: Integrated path differential absorption (IPDA) LiDAR retrieves atmospheric column absorption from the power ratio of online and offline dual-wavelength hard-target returns. Active IPDA observations are independent of solar illumination and provide narrow footprints and enhanced sensitivity to the lower atmosphere, complementing passive greenhouse gas remote sensing with wide coverage and mature product chains. As the first on-orbit greenhouse gas IPDA LiDAR, DQ-1/ACDL has generated global XCO2 products. Validation of its v1.0 product against 13 TCCON sites yielded a mean error of 0.02 ppm and a root mean square error of 1.4 ppm, indicating that spaceborne greenhouse gas IPDA has entered the stage of on-orbit application validation. This review examines progress and constraints in payload design, cross-scale validation, and multisource fusion as spaceborne greenhouse gas IPDA advances from payload validation toward operational carbon monitoring. Operational applications require balancing measurement performance and effective coverage under platform resource constraints and closing the ground-airbornespaceborne validation chain. Active-passive product fusion also requires harmonized weighting functions, averaging kernels, spatiotemporal scales, surface elevation, and meteorological inputs, with random errors and correlated systematic biases propagated from Level 2 products to Level 4 applications. A three-stage development roadmap is proposed, comprising single-satellite application validation, cross-sensor fusion, and constellation-based continuous operational services, with end-to-end performance from Level 1 returns to Level 4 fluxes used to assess operational maturity.

     

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