Error analysis for NO2 DIAL measurement in the troposphere

Cao, Nianwen; Fukuchi, Tetsuo; Fujii, Takashi; Collins, R. L.; Li, S.; Wang, Zihao; Chen, Zhi

doi:10.1007/s00340-005-2050-8

Cited by 15 publications

(5 citation statements)

References 7 publications

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“…The term "a priori" here does not mean that the ozone DIAL retrieval uses a variational/optimal estimation method (it does not), but simply means that the information comes from ancillary (i.e., non-lidar) measurements or models, and is input as "truth" in the ozone DIAL processing chain. The input quantities in this case can be of different nature, namely mixing ratio or number density (e.g., Ahmad et al, 2007;Bauer et al, 2012;Bracher et al, 2005;Brohede et al, 2007;Brühl et al, 2013;Cao et al, 2006;He et al, 2014;McLinden et al, 2014). In order to ensure self-consistency in our measurement model, input quantities independent of air number density should be chosen.…”

Section: Uncertainty Owing To Interfering Gases' Atmospheric Profilesmentioning

confidence: 99%

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

et al. 2016

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Abstract.A standardized approach for the definition, propagation, and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach is the propagation in parallel of all independent uncertainty components through the data processing chain before they are combined together to form the ozone combined standard uncertainty.The independent uncertainty components contributing to the overall budget include random noise associated with signal detection, uncertainty due to saturation correction, background noise extraction, the absorption cross sections of O 3 , NO 2 , SO 2 , and O 2 , the molecular extinction cross sections, and the number densities of the air, NO 2 , and SO 2 . The expression of the individual uncertainty components and their step-by-step propagation through the ozone differential absorption lidar (DIAL) processing chain are thoroughly estimated. All sources of uncertainty except detection noise imply correlated terms in the vertical dimension, which requires knowledge of the covariance matrix when the lidar signal is vertically filtered. In addition, the covariance terms must be taken into account if the same detection hardware is shared by the lidar receiver channels at the absorbed and non-absorbed wavelengths.The ozone uncertainty budget is presented as much as possible in a generic form (i.e., as a function of instrument performance and wavelength) so that all NDACC ozone DIAL investigators across the network can estimate, for their own instrument and in a straightforward manner, the expected impact of each reviewed uncertainty component. In addition, two actual examples of full uncertainty budget are provided, using nighttime measurements from the tropospheric ozone DIAL located at the Jet Propulsion Laboratory (JPL) Table Mountain Facility, California, and nighttime measurements from the JPL stratospheric ozone DIAL located at Mauna Loa Observatory, Hawai'i.

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Section: Uncertainty Owing To Interfering Gases' Atmospheric Profilesmentioning

confidence: 99%

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

et al. 2016

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“…(26). Temperature-dependent ozone absorption cross sections values originate from various published works by spectroscopy groups around the world (e.g., Serdyuchenko et al, 2014;Bass and Paur, 1984;Bogumil et al, 2003;Chehade et al, 2013;Daumont et al, 1992;Brion et al, 1998;Burrows et al, 1999). These groups usually provide at least one type of uncertainty estimate associated with the cross section values.…”

Section: Uncertainty Owing To the Ozone Absorption Cross Section Differentialmentioning

confidence: 99%

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

Leblanc¹,

Sica²,

Gijsel³

et al. 2016

Preprint

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Abstract. A standardized approach for the definition, propagation and reporting of uncertainty in the ozone differential absorption lidar data products contributing to the Network for the Detection for Atmospheric Composition Change (NDACC) database is proposed. One essential aspect of the proposed approach is the propagation in parallel of all independent uncertainty components through the data processing chain before they are combined together to form the ozone combined standard uncertainty. The independent uncertainty components contributing to the overall budget include random noise associated with signal detection, uncertainty due to saturation correction, background noise extraction, the absorption cross-sections of ozone, NO2, SO2, and O2, the molecular extinction cross-sections, and the number densities of the air, NO2, and SO2. The expression of the individual uncertainty components and their step-by-step propagation through the ozone DIAL processing chain are thoroughly estimated. All sources of uncertainty except detection noise imply correlated terms in the vertical dimension, which requires knowledge of the covariance matrix when the lidar signal is vertically filtered. In addition, the covariance terms must be taken into account if the same detection hardware is shared by the lidar receiver channels at the absorbed and non-absorbed wavelengths. The ozone uncertainty budget is presented as much as possible in generic form (i.e., as a function of instrument performance and wavelength) so that all NDACC ozone DIAL investigators across the network can estimate, for their own instrument and in a straightforward manner, the expected impact of each reviewed uncertainty component. In addition, two actual examples of full uncertainty budget are provided, using measurements from the tropospheric ozone DIAL located at the JPL-Table Mountain Facility, California, and measurements from the JPL stratospheric ozone DIAL located at Mauna Loa Observatory, Hawaii.

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“…Many methods have been proposed for the data processing of background noise, which is a concern for many researchers. One approach is to directly measure the noise (run the data acquisition system, blocking the laser beam), and another is to consider the electrical pulses during data collection or to take the value of the highest position of the echo signal as the background [8]. Even if background noise can be measured with reasonable accuracy, the thermal noise and electrical noise of the detector still have a large influence on the results.…”

Section: Introductionmentioning

confidence: 97%

New Lidar technology for aerosol measurements and extinction coefficient inversion

Cao

2015

Optik

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Error analysis for NO2 DIAL measurement in the troposphere

Cited by 15 publications

References 7 publications

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms – Part 2: Ozone DIAL uncertainty budget

New Lidar technology for aerosol measurements and extinction coefficient inversion

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