Double-pulse 157  μm integrated path differential absorption lidar ground validation for atmospheric carbon dioxide measurement

Du, Jiangfeng; Zhu, Yadan; Li, Shiguang; Zhang, Junxuan; Sun, Yanguang; Zang, Hang; Liú, Dan; Ma, Xiuhua; Bi, Decang; Liu, Jiqiao; Zhu, Xiaolei; Chen, Weibiao

doi:10.1364/ao.56.007053

Cited by 24 publications

(16 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is worth noting that values of parameters presented in Han G et al [33] are the requirements of the CO 2 -IPDA LIDAR. The recent development of that sensor is described in Du J et al [47]. Figure A1 shows the schematic diagram of the CO 2 -IPDA LIDAR.…”

Section: Discussionmentioning

confidence: 99%

“…The requirement on ranging ability is very stringent according to Table 2. Du et.al have demonstrated a ranging accuracy of~1.5 m by using their CO 2 -IPDA LIDAR prototype in 2017 [47], indicating that the assumption of this Table 1 on ranging accuracy is realistic. Referring to Singh's work [48], ε i s , the systematic error due to a specific factor F i , can be expressed as:…”

Section: Systematic Errorsmentioning

confidence: 97%

See 1 more Smart Citation

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Han

Gong

et al. 2018

Remote Sensing

Self Cite

View full text Add to dashboard Cite

Abstract:Since over 70% of carbon emissions are from urban areas, it is of great importance to develop an effective measurement technique that can accurately monitor atmospheric CO 2 in global urban areas. Remote sensing could be an effective way to achieve this goal. However, due to high aerosol loading in urban areas, there are large, inadequately resolved areas in the CO 2 products acquired by passive remote sensing. China is planning to launch the Atmospheric Environment Monitoring Satellite (AEMS) equipped with a CO 2 -light detecting and ranging (LIDAR) system. This work conducted a feasibility study on obtaining city-scale column CO 2 volume mixing ratios (XCO 2 ) using the LIDAR measurements. A performance framework consisting of a sensor model, sampling model, and environmental model was proposed to fulfill our demand. We found that both the coverage and the accuracy of the LIDAR-derived city-scale XCO 2 values were highly dependent on the orbit height. With an orbit height of 450 km, random errors of less than 0.3% are expected for all four metropolitan areas tested in this work. However, random errors of less than 0.3% were obtained in only two metropolitan areas with an orbit height of 705 km. Our simulations also showed that off-nadir sampling would improve the performance of a CO 2 -Integrated Path Differential Absorption (IPDA) LIDAR system operating in a 705 km orbit. These results indicate that an active remote sensing mission could help to effectively measure XCO 2 values in urban areas. More detailed studies are needed to reveal the potential of such equipment for improving the verification of carbon emissions and the estimation of urban carbon fluxes.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Systematic Errorsmentioning

confidence: 97%

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Han

Gong

et al. 2018

Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…The comparisons between simulated pseudo XCO 2 and ground-based and airborne validation experiments also show a good consistency. In 2017, Du et al carried out the ground validation experiment of IPDA lidar utilizing a wall as a reflected hard target that was 1.17 km away [34]. XCO 2 data were measured in the limited path and compared with the measurement data of an in situ ultraportable greenhouse gas analyzer (UGGA).…”

Section: Discussionmentioning

confidence: 99%

“…The detailed system parameters are shown in Table 1. The prototype of spaceborne AC-IPDA lidar have been validated by ground base and airborne experiments in 2017 and 2019, respectively [34,35]. The laser transmitter subsystem is mainly composed of a seeder laser, a frequency stabilization system, and a pulsed laser.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Performance Evaluation of Spaceborne Integrated Path Differential Absorption Lidar for Carbon Dioxide Detection at 1572 nm

Wang

Chen

et al. 2020

Remote Sensing

Self Cite

View full text Add to dashboard Cite

As one of the most influential greenhouse gases, carbon dioxide (CO2) has a profound impact on the global climate. The spaceborne integrated path differential absorption (IPDA) lidar will be a great sensor to obtain the columnar concentration of CO2 with high precision. This paper analyzes the performance of a spaceborne IPDA lidar, which is part of the Aerosol and Carbon Detection Lidar (ACDL) developed in China. The line-by-bine radiative transfer model was used to calculate the absorption spectra of CO2 and H2O. The laser transmission process was simulated and analyzed. The sources of random and systematic errors of IPDA lidar were quantitatively analyzed. The total systematic errors are 0.589 ppm. Monthly mean global distribution of relative random errors (RREs) was mapped based on the dataset in September 2016. Afterwards, the seasonal variations of the global distribution of RREs were studied. The global distribution of pseudo satellite measurements for a 16-day orbit repeat cycle showed relatively uniform distribution over the land of the northern hemisphere. The results demonstrated that 61.24% of the global RREs were smaller than 0.25%, or about 1 ppm, while 2.76% of the results were larger than 0.75%. The statistics reveal the future performance of the spaceborne IPDA lidar.

show abstract

“…In the last decade, many studies have been done on the use of doubled-pulsed IPDA lidar to measure CO2 or CH4 atmospheric content from space [8][9][10] and many IPDA ground based and airborne demonstrators are been developed around the word by DLR [11][12], NASA Langley [13][14][15][16][17][18][19][20] and JPL [21][22], NIST [23][24], Tokyo Metropolitan University [25][26] or Chinese Academy of Sciences [27].…”

Section: Introductionmentioning

confidence: 99%

Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar

Cassé¹,

Gibert²,

Édouart³

et al. 2019

Preprint

View full text Add to dashboard Cite

In the context of the French-German space lidar mission MERLIN dedicated to the determination of the atmospheric methane content, an end-to-end mission simulator is being developed. In order to check whether the instrument design meets the performance requirements, simulations have to count all the sources of noise on the measurements like the optical energy variability induced by speckle. Speckle is due to interference as the lidar beam are quasi monochromatic. Speckle contribution to the error budget has to be estimated but also simulated. In this paper, the speckle theory is revisited and applied to MERLIN double pulsed IPDA lidar and also to the DLR demonstrator CHARM-F. Results show: on the signal path, speckle noise depends mainly on the size of the illuminating area on ground; on the solar flux, speckle is fully negligible both because the pixel size and the optical filter spectral width; on energy monitoring path a decorrelation mechanism is needed to reduce speckle noise on averaged data. Speckle noises for MERLIN and CHARM-F can be simulated by Gaussian noises with only one random draw by shot separately for energy monitoring and signal paths.

show abstract

Double-pulse 157 μm integrated path differential absorption lidar ground validation for atmospheric carbon dioxide measurement

Cited by 24 publications

References 10 publications

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Feasibility Study on Measuring Atmospheric CO2 in Urban Areas Using Spaceborne CO2-IPDA LIDAR

Performance Evaluation of Spaceborne Integrated Path Differential Absorption Lidar for Carbon Dioxide Detection at 1572 nm

Optical Energy Variability Induced by Speckle: The Cases of MERLIN and CHARM-F IPDA Lidar

Contact Info

Product

Resources

About