LI Cong,DENG Xiaobo,LIU Hailei,et al.Study on Physical Retrieval of CO2 by Satellite Short-Wave Infrared Remote Sensing[J].Journal of Chengdu University of Information Technology,2025,40(04):478-483.[doi:10.16836/j.cnki.jcuit.2025.04.011]
卫星短波红外遥感CO2的物理反演研究
- Title:
- Study on Physical Retrieval of CO2 by Satellite Short-Wave Infrared Remote Sensing
- 文章编号:
- 2096-1618(2025)04-0478-06
- Keywords:
- satellite remote sensing; shortwave Infrared; CO2; physical retrieval
- 分类号:
- TP79
- 文献标志码:
- A
- 摘要:
- CO2是温室效应的主要成因,掌握CO2的浓度及变化可为实现碳中和与碳达峰的双碳目标提供支持。短波近红外通道对近地层CO2浓度变化敏感,通过模拟大气辐射传输的整个物理过程,构建正演模型,并基于最优化方法和牛顿迭代法对GOSAT卫星获取的短波红外辐亮度数据进行处理和分析,实现了对全球范围内CO2浓度的高精度反演。将算法反演的CO2柱平均干空气混合比(XCO2)与GOSAT卫星二级产品和碳柱浓度观测网络TCCON站点XCO2数据进行对比验证。结果表明,算法反演精度为-0.397%,与卫星产品的平均绝对误差为1.32 ppm,相对误差为0.235%; 与TCCON站点数据对比平均绝对误差为1.67 ppm,相对误差为-0.397%,优于1%的应用要求。
- Abstract:
- Carbon dioxide(CO2)is the main cause of the greenhouse effect.Understanding the concentration and change of CO2 can support the realization of carbon neutrality and carbon peaking.Short-wave near-infrared channel is sensitive to changes in CO2 concentration near the ground.By simulating the whole physical process of atmospheric radiation transmission,a forward model is constructed.Based on the optimization method and Newton iteration method,the short-wave infrared radiance data obtained by Greenhouse gases Observing Satellite(GOSAT)are processed and analyzed,and the high-precision inversion of CO2 concentration on a global scale is successfully realized.The CO2 Column average dry air mixing ratio(XCO2)retrieved by the algorithm is compared with the XCO2 data of GOSAT satellite secondary products and total carbon column observing network(TCCON)stations.The results show that the retrieval accuracy of the algorithm is -0.397%,the average absolute error is1.32 ppm and the relative error is 0.235%.Compared with TCCON site data,the average absolute error is1.67 ppm and the relative error is -0.397%,which is better than 1% application requirement.
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备注/Memo
收稿日期:2024-01-15