Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation

Tao, Zhining; Kawa, S. R.; Jacob, Jossy P.; Liu, David Y.; Collatz, G. J.; Wang, James S.; Ott, Lesley; Chin, Mian

doi:10.1016/j.envsoft.2020.104785

Cited by 5 publications

(3 citation statements)

References 65 publications

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“…Figure 5 presents the trends of derived NOx emissions across US cities from 2018 to 2021. A significant dip in emissions was observed in 2020, primarily attributed to the diminished NOx emissions in response to COVID-related lockdown policies (e.g., Liu et al, 2020). The 2020 emissions saw an average reduction of approximately 25% from 2019, in agreement with the findings of other studies (Goldberg et al, 2020;Miyazaki et al, 2021).…”

Section: Tropomi-based Nox Emissionssupporting

confidence: 85%

“…The meteorological and chemical initial conditions and their lateral boundaries are obtained from NASA's Modern Era Retrospective-Analysis for Research and Applications version 2 (MERRA-2;Gelaro et al, 2017) and the Community Atmosphere Model with chemistry (CAM-chem;Lamarque et al, 2012), respectively. Additional model set-up information, including the chemical mechanism, aerosol module, and emissions are detailed inTao et al (2020) andLiu et al (2022). We integrate simulated NO2 concentrations from the surface to the tropopause to provide Ω !$%&'( .…”

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confidence: 99%

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High-resolution Mapping of Nitrogen Oxide Emissions in Large US Cities from TROPOMI Retrievals of Tropospheric Nitrogen Dioxide Columns

Liu,

Beirle,

Joiner

et al. 2023

Preprint

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Abstract. Satellite-derived spatiotemporal patterns of nitrogen oxide (NOx) emissions can improve accuracy of emission inventories to better support air quality and climate research and policy studies. In this study, we develop a new method by coupling the chemical transport Model-Independent SATellite-derived Emission estimation Algorithm for Mixed-sources (MISATEAM) with a divergence method to map high-resolution NOx emissions across US cities using TROPOspheric Monitoring Instrument (TROPOMI) tropospheric nitrogen dioxide (NO2) retrievals. The accuracy of the coupled method is validated through application to synthetic NO2 observations from the NASA-Unified Weather Research and Forecasting (NU-WRF) model, with a horizontal spatial resolution of 4 km × 4 km for 33 large and mid-size US cities. Validation reveals excellent agreement between inferred and NU-WRF-provided emission magnitudes (R = 0.99, Normalized Mean Bias, NMB = −0.01) and a consistent spatial pattern when comparing emissions for individual grid cells (R = 0.88 ± 0.06). We then develop a TROPOMI-based database reporting annual emissions for 39 US cities at a horizontal spatial resolution of 0.05° × 0.05° from 2018 to 2021. This database demonstrates a strong correlation (R = 0.90) with the national emission inventory (NEI) but reveals some bias (NMB = −0.24). There are noticeable differences in the spatial patterns of emissions in some cities, which suggests potential misallocation of emissions and/or missing sources in bottom-up emission inventories.

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Section: Tropomi-based Nox Emissionssupporting

confidence: 85%

mentioning

confidence: 99%

High-resolution Mapping of Nitrogen Oxide Emissions in Large US Cities from TROPOMI Retrievals of Tropospheric Nitrogen Dioxide Columns

Liu,

Beirle,

Joiner

et al. 2023

Preprint

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“…In the initial stages of the development of simulation methods, simulations were used primarily in the natural, technical and economic sciences [23,26,27]. They are currently widely used on a wide scale in various industries, such as the automotive industry [25,28] (Nissan, PSA Peugeot Citroën, Toyota, Ford Motor Company) and fields of science, in particular global scientific and research centers [29] (the Universities of Michigan, Tokyo, Minnesota, Karlsruhe and Colorado) as well as by the National Aeronautics and Space Administration (NASA) [30][31][32]. Currently, there is even a trend of the overuse of computer-simulation methods, which can be explained not only by the degree of development of science but also by the ease and universality of their usage.…”

Section: The Essence Of Computer Simulationsmentioning

confidence: 99%

Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes

Skrzyniarz,

Sajdak,

Biniek-Poskart

et al. 2024

Energies

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This article discusses the potential of using computer-simulation methods in processes such as thermal waste conversion, i.e., pyrolysis, gasification, combustion and torrefaction. These methods are gaining in importance, among others, due to the difficulties in execution and high costs associated with conducting experimental research in real conditions or the need to obtain detailed data on the phenomenon under study in a relatively short time. Computer simulation also allows for numerous errors to be avoided, such as those that may occur during optimization activities, the effects of which may have serious consequences, both economic and environmental. In addition to their many advantages, the limitations and disadvantages of using computer-simulation methods were also indicated, mainly related to the interpretation and validation of the results obtained using modelling. Owing to the complexity of the phenomena occurring during thermal conversion, special attention was focused on models based on chemical kinetics, thanks to which it is possible to predict the quantitative and qualitative composition of products in these processes. The aim of this research is to identify the research gap in the field of issues related to models of chemical kinetics of thermal waste conversion processes.

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Influencing factors of PM2.5 and O3 from 2016 to 2020 based on DLNM and WRF-CMAQ

Duan

Wang

Cheng

et al. 2021

Environmental Pollution

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Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation

Cited by 5 publications

References 65 publications

High-resolution Mapping of Nitrogen Oxide Emissions in Large US Cities from TROPOMI Retrievals of Tropospheric Nitrogen Dioxide Columns

High-resolution Mapping of Nitrogen Oxide Emissions in Large US Cities from TROPOMI Retrievals of Tropospheric Nitrogen Dioxide Columns

Methods and Validation Techniques of Chemical Kinetics Models in Waste Thermal Conversion Processes

Influencing factors of PM2.5 and O3 from 2016 to 2020 based on DLNM and WRF-CMAQ

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