Performance Evaluation for China’s Planned CO2-IPDA

Han, Ge; Ma, Xin; Liang, Ailin; Zhang, Tianhao; Zhao, Youjian; Zhang, Miao; Gong, Wei

doi:10.3390/rs9080768

Cited by 43 publications

(38 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the beginning, the requirement on the random error of monthly XCO 2 product acquired by the CO 2 -IPDA equipped on AEMS is below 0.3% with spatial resolutions of 50 km and 100 km over lands and oceans, respectively. Our previous study has already suggested that such a requirement can be fulfilled in most areas in China and its surroundings [33]. It is worth noting that the requirement on measurements of XCO 2 using remote sensing was defined as 2.5 ppm (~0.7%@360 ppm) on a 8 • × 10 • footprint in 2001 [7].…”

Section: Introductionmentioning

confidence: 99%

“…Several performance modeling studies of a spaceborne greenhouse-gas-IPDA LIDAR system have been performed in the past decade [33,[39][40][41]. However, the cloud coverage issues have never been integrated into the performance models.…”

Section: Introductionmentioning

confidence: 99%

“…It is critical to pay attention to the number of cloud-free observations. A significant advantage of this study over other similar research [33,40,41,44] is that the cloud product was included in the simulations to study its effect on shot averaging. It is worth noting that LIDAR can also work with dense cloud coverage [43].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

show abstract

“…At present, atmospheric CO 2 observation mainly relies on passive detection technology, especially passive satellite remote sensing technology. Representative systems include Japan's Greenhouse Gases Observing Satellite (GOSAT) [1], NASA's Orbiting Carbon Observatory-2 (OCO-2) [2,3], and China's carbon satellite [4,5], which all have wide detection ranges, large monitoring areas, and large sampling data. Since the successful launch of GOSAT in January 2009, several teams of scholars from more than 10 countries have been working on independent retrievals of XCO 2 and XCH 4 with errors of less than 2 ppm Table 1.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON

et al. 2017

Self Cite

View full text Add to dashboard Cite

CO 2 is one of the most important greenhouse gases. Its concentration and distribution in the atmosphere have always been important in studying the carbon cycle and the greenhouse effect. This study is the first to validate the XCO 2 of satellite observations with total carbon column observing network (TCCON) data and to compare the global XCO 2 distribution for the passive satellites Orbiting Carbon Observatory-2 (OCO-2) and Greenhouse Gases Observing Satellite (GOSAT), which are on-orbit greenhouse gas satellites. Results show that since GOSAT was launched in 2009, its mean measurement accuracy was −0.4107 ppm with an error standard deviation of 2.216 ppm since 2009, and has since decreased to −0.62 ppm with an error standard deviation of 2.3 ppm during the past two more years (2014)(2015)(2016), while the mean measurement accuracy of the OCO-2 was 0.2671 ppm with an error standard deviation of 1.56 ppm from September 2014 to December 2016. GOSAT observations have recently decreased and lagged behind OCO-2 on the ability to monitor the global distribution and monthly detection of XCO 2 . Furthermore, the XCO 2 values gathered by OCO-2 are higher by an average of 1.765 ppm than those by GOSAT. Comparison of the latitude gradient characteristics, seasonal fluctuation amplitude, and annual growth trend of the monthly mean XCO 2 distribution also showed differences in values but similar line shapes between OCO-2 and GOSAT. When compared with the NOAA statistics, both satellites' measurements reflect the growth trend of the global XCO 2 at a low and smooth level, and reflect the seasonal fluctuation with an absolutely different line shape.

show abstract

“…It is appropriate now to assess the feasibility of global Lidar observations of point sources that could complement the current and future observation systems, and to discuss the implications for a novel space-borne IPDA Lidar which goes beyond the systems currently being designed and developed [19][20][21][22][23]. In this initial feasibility study we first introduce the IPDA method focusing on plume detection sensitivity in Section 2, and use a Lidar performance model to assess the required size of a satellite Lidar for plume detection in Section 3.…”

Section: Introductionmentioning

confidence: 99%

Potential of Spaceborne Lidar Measurements of Carbon Dioxide and Methane Emissions from Strong Point Sources

et al. 2017

View full text Add to dashboard Cite

Abstract:Emissions from strong point sources, primarily large power plants, are a major portion of the total CO 2 emissions. International climate agreements will increasingly require their independent monitoring. A satellite-based, double-pulse, direct detection Integrated Path Differential Absorption (IPDA) Lidar with the capability to actively target point sources has the potential to usefully complement the current and future GHG observing system. This initial study uses simple approaches to determine the required Lidar characteristics and the expected skill of spaceborne Lidar plume detection and emission quantification. A Gaussian plume model simulates the CO 2 or CH 4 distribution downstream of the sources. A Lidar simulator provides the instrument characteristics and dimensions required to retrieve the emission rates, assuming an ideal detector configuration. The Lidar sampling frequency, the footprint distance to the emitting source and the error of an individual measurement are of great importance. If wind speed and direction are known and environmental conditions are ideal, an IPDA Lidar on a 500-km orbit with 2 W average power in the 1.6 µm CO 2 absorption band, 500 Hz pulse repetition frequency, 50 m footprint at sea level and 0.7 m telescope diameter can be expected to measure CO 2 emission rates of 20 Mt/a with an average accuracy better than 3% up to a distance of 3 km away from the source. CH 4 point source emission rates can be quantified with comparable skill if they are larger than 10 kt/a, or if the Lidar pulse repetition frequency is augmented.

show abstract

Performance Evaluation for China’s Planned CO2-IPDA

Cited by 43 publications

References 35 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

Comparison of Satellite-Observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON

Potential of Spaceborne Lidar Measurements of Carbon Dioxide and Methane Emissions from Strong Point Sources

Contact Info

Product

Resources

About