Spatial mapping of greenhouse gases using laser absorption spectrometers at local scales of interest

Dobler, J. T.; Zaccheo, T. S.; Blume, Nathan; Braun, M.; Botos, C.; Pernini, T.

doi:10.1117/12.2197713

Cited by 7 publications

(9 citation statements)

References 13 publications

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“…Further work should be devoted to the study of a long term (one year) modeling of the CO 2 concentration in the Paris area with several parameterizations of the WRF model. The result of this modeling shall be compared to CO 2 observations from seven surface stations located within Paris and the IdF region as well as line observations made by the laser GreenLITE system (Dobler et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling

Lian

Bréon

et al. 2018

Elementa: Science of the Anthropocene

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The quantification of CO2 emissions from cities using atmospheric measurements requires accurate knowledge of the atmospheric transport. Complex urban terrains significantly modify surface roughness, augment surface energy budgets, and create heat islands, all of which lead to lower horizontal winds and enhanced convection over urban areas. The question remains whether these processes should be included in atmospheric transport models that are used for city scale CO2 inversion, and whether they need to be tailored on a city basis. In this study, we use the WRF model over Paris to address the following research question: does WRF runs at a 3 km resolution, including urban effects and the assimilation of local weather data, perform better than ECMWF forecasts that give fields at 16 km resolution? The analysis of model performances focuses on three variables: air temperature, wind and the planetary boundary layer (PBL) height. The results show that the use of objective analysis and nudging tools are required to obtain good agreements between WRF simulated fields with observations. Surface temperature is well reproduced by both WRF and ECMWF forecasts, with correlation coefficients with hourly observations larger than 0.92 and MBEs within 1°C over one month. Wind speed correlations with hourly observations are similar for WRF (range 0.76~0.85 across stations) and ECMWF (0.79~0.84), but the associated RMSEs and MBEs are better for ECMWF. Conversely, WRF outperforms ECMWF forecasts for its description of wind direction, horizontal and vertical gradients. Sensitivity tests with different WRF physics schemes show that the wind speed and the PBL height are strongly influenced by PBL schemes. The marginal advantage of WRF over ECMWF for the desired application is sufficient to motive additional testing with prescribed CO2 flux maps for comparing modeled CO2 concentrations with available observations in an urban environment.

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Section: Discussionmentioning

confidence: 99%

Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling

Lian

Bréon

et al. 2018

Elementa: Science of the Anthropocene

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“…GreenLITE™ is a laser absorption-based gas measurement system that consists of one or more optical transceiver units, some number of retroreflectors arranged such that a clear line of sight exists between each transceiver and each reflector, and backend analytics that convert measured optical depth values to gas concentrations in near real-time and generate 2-D concentration distributions [Dobler, 2015;Dobler, 2017;Zaccheo, 2019]. A transceiver consists of a stationary climate-controlled equipment cabinet and an optical head that is mounted on a two-axis mechanical scanner.…”

Section: Measurement Systemmentioning

confidence: 99%

Estimating oil sands emissions using horizontal path-integrated column measurements

Pernini

Zaccheo

Dobler³

et al. 2022

Atmos. Meas. Tech.

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Abstract. Improved technologies and approaches to reliably measure and quantify fugitive greenhouse gas emissions from oil sands operations are needed to accurately assess emissions and develop mitigation strategies that minimize the cost impact of future production. While several methods have been explored, the spatial and temporal heterogeneity of emissions from oil sand mines and tailings ponds suggests an ideal approach would continuously sample an area of interest with spatial and temporal resolution high enough to identify and apportion emissions to specific areas and locations within the measurement footprint. In this work we demonstrate a novel approach to estimating greenhouse gas emissions from oil sands tailings ponds and open-pit mines. The approach utilizes the GreenLITE™ gas concentration measurement system, which employs a laser-absorption-spectroscopy-based, open-path, integrated column measurement in conjunction with an inverse dispersion model to estimate methane (CH4) emission rates from an oil sands facility located in the Athabasca region of Alberta, Canada. The system was deployed for extended periods of time in the summer of 2019 and spring of 2020. CH4 emissions from a tailings pond were estimated to be 7.2 metric tons per day (t/d) for July–October 2019, and 5.1 t/d for March–July 2020. CH4 emissions from an open-pit mine were estimated to be 24.6 t/d for September–October 2019. Uncertainty in retrieved emission for the tailings pond in March–July 2020 is estimated to be 2.9 t/d. Descriptions of the measurement system, measurement campaigns, emission retrieval scheme, and emission results are provided.

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“…Additional information describing the system can be found in references [4,5]. The data products from the processed system data are continually streamed near-real-time via a user web interface.…”

Section: Measurement Descriptionmentioning

confidence: 99%

Greenlite™: a year of carbon dioxide monitoring over paris, france, and recent progress in monitoring methane

et al. 2018

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GreenLITE™ is a ground-based laser absorption spectroscopy system capable of measuring and mapping CO2 concentrations over areas up to 25 km2. The system was deployed for COP21 as a demonstration and has now completed a year of CO2 measurements over the city of Paris, France. We will discuss lessons learned and relevant data from the year-long deployment. Recently, the system has demonstrated the same measurement capability for CH4, and results from preliminary testing are presented.

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Spatial mapping of greenhouse gases using laser absorption spectrometers at local scales of interest

Cited by 7 publications

References 13 publications

Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling

Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling

Estimating oil sands emissions using horizontal path-integrated column measurements

Greenlite™: a year of carbon dioxide monitoring over paris, france, and recent progress in monitoring methane

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