Name
Title | ||
|---|---|---|
Obtaining Gradients of XCO2 in Atmosphere Using the Constrained Linear Least-Squares Technique and Multi-Wavelength IPDA LiDAR |
Abstract | ||
|---|---|---|
Integrated-path differential absorption (IPDA) LiDAR is a promising means of measuring the global distributions of the column weighted xCO(2)(dry-air mixing ratio of CO2) with adequate accuracy and precision. Most IPDA LiDARs are incapable of discerning the vertical information of CO(2)diffusion, which is of great significance for studies on the carbon cycle and climate change. Hence, we developed an inversion method using the constrained linear least-squares technique for a pulsed direct-detection multi-wavelength IPDA LiDAR to obtain sliced xCO(2). In the proposed inversion method, the atmosphere is sliced into three different layers, and the xCO(2)of those layers is then retrieved using the constrained linear least-squares technique. Assuming complete knowledge of the water vapor content, the accuracy of the retrieved sliced xCO(2)could be as high as 99.85% when the signal-to-noise ratio of central wavelength retrievals is higher than 25 (with a log scale). Further experiments demonstrated that different carbon characteristics can be identified by the sign of the carbon gradient of the retrieved xCO(2)between the ABL (atmospheric boundary layer) and FT (free troposphere). These results highlight the potential applications of multiple wavelength IPDA LiDAR. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/rs12152395 | REMOTE SENSING |
Keywords | DocType | Volume |
IPDA LiDAR,CO2,inversion method,carbon cycle | Journal | 12 |
Issue | Citations | PageRank |
15 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| ge han | 1 | 4 | 4.55 |
| Tianqi Shi | 2 | 0 | 2.03 |
| xin ma | 3 | 2 | 4.29 |
| Xu Hao | 4 | 31 | 17.96 |
| Miao Zhang | 5 | 2 | 2.63 |
| Qi Liu | 6 | 1 | 0.68 |
| Wei Gong | 7 | 104 | 32.67 |