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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Anthropogenic and Volcanic Point Source SO2 Emissions Derived from TROPOMI on Board Sentinel-5 Precursor: First Results
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A breakthrough propulsion architecture for interstellar precursor missions concepts
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Future Space-based Monitoring of Aerosol and Precursor Emissions with TEMPO
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Southeast Michigan: Health & Air Quality - Identifying Trends of Ground-level Ozone Precursors in Southeast Michigan
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Assessment of Tropospheric Concentrations of NO2 from the TROPOMI/Sentinel-5 Precursor for the Estimation of Long-Term Exposure to Surface NO2 over South Korea
Since April 2018, the TROPOspheric Monitoring Instrument (TROPOMI) has provided data on tropospheric NO2 column concentrations (CTROPOMI) with unprecedented spatial resolution. This study aims to assess the capability of TROPOMI to acquire high spatial resolution data regarding surface NO2 mixing ratios. In general, the instrument effectively detected major and moderate sources of NO2 over South Korea with a clear weekday–weekend distinction. We compared the CTROPOMI with surface NO2 mixing ratio measurements from an extensive ground-based network over South Korea operated by the Korean Ministry of Environment (SKME; more than 570 sites), for 2019. Spatiotemporally collocated CTROPOMI and SKME showed a moderate correlation (correlation coefficient, r = 0.67), whereas their annual mean values at each site showed a higher correlation (r = 0.84). The CTROPOMI and SKME were well correlated around the Seoul metropolitan area, where significant amounts of NO2 prevailed throughout the year, whereas they showed lower correlation at rural sites. We converted the tropospheric NO2 from TROPOMI to the surface mixing ratio (STROPOMI) using the EAC4 (ECMWF Atmospheric Composition Reanalysis 4) profile shape, for quantitative comparison with the SKME. The estimated STROPOMI generally underestimated the in-situ value obtained, SKME (slope = 0.64), as reported in previous studies.
Exploring the Reactivity of Metabolically Relevant Precursors under Hydrothermal Analog Settings
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Machine Learning Methods for Advancing Risk Precursor Identification Tools in Commercial Airline Terminal Area Operations
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Multi-Sensor Retrievals of Ozone Generated with the Tropospheric Ozone and its Precursors from Earth System Sounding (TROPESS) framework.
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